Publication List

• Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, and Gordon Wetzstein. Gaussian shell maps for efficient 3D human generation. To appear in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, 17-21 June 2024.

• Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, and Kai Zhang. DetDiffusion: Synergizing generative and perceptive models for enhanced data generation and perception. To appear in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, 17-21 June 2024.

• Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, and Dit-Yan Yeung. GeoDiffusion: Text-prompted geometric control for object detection data generation. To appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 7-11 May 2024.

• Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, and Lifeng Shang. Gaining wisdom from setbacks: Aligning large language models via mistake analysis. To appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 7-11 May 2024.

• Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, and Qiang Xu. MagicDrive: Street view generation with diverse 3D geometry control. To appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 7-11 May 2024.

• Junjie Wu, Lemao Liu, Wei Bi, and Dit-Yan Yeung. Rethinking targeted adversarial attacks for neural machine translation. To appear in Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, 14-19 April 2024.

• Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, and Chuang Gan. Adaptive online replanning with diffusion models. Advances in Neural Information Processing Systems 36. A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt & S. Levine (eds.), pp.44000-44016, 2023. (Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 10-16 December 2023.)
  [paper]

• Junjie Wu, Lemao Liu, and Dit-Yan Yeung. Towards general error diagnosis via behavioral testing in machine translation. Findings of the Association for Computational Linguistics: EMNLP 2023, pp.6706-6720, Singapore, 6-10 December 2023.
  [paper]

• Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, and Lu Fang. SVQNet: Sparse voxel-adjacent query network for 4D spatio-temporal LiDAR semantic segmentation. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.8569-8578, Paris, France, 2-6 October 2023.
  [paper]

• Xinran Zhao, Esin Durmus, and Dit-Yan Yeung. Towards reference-free text simplification evaluation with a BERT siamese network architecture. Proceedings of the Sixty-First Annual Meeting of the Association for Computational Linguistics (Findings of ACL), pp.13250-13264, Toronto, Canada, 9-14 July 2023.
  [paper]

• Yusen Sun, Liangyou Li, Qun Liu, and Dit-Yan Yeung. SongRewriter: A Chinese song rewriting system with controllable content and rhyme scheme. Proceedings of the Sixty-First Annual Meeting of the Association for Computational Linguistics (Findings of ACL), pp.12863-12880, Toronto, Canada, 9-14 July 2023.
  [paper]

• Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, and Dit-Yan Yeung. Learning 3D-aware image synthesis with unknown pose distribution. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.13062-13071, Vancouver, Canada, 18-22 June 2023.
  [paper]

• Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, and Hang Xu. CLIP²: Contrastive language-image-point pretraining from real-world point cloud data. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.15244-15253, Vancouver, Canada, 18-22 June 2023.
  [paper]

• Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, and Dit-Yan Yeung. Mixed autoencoder for self-supervised visual representation learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.22742-22751, Vancouver, Canada, 18-22 June 2023.
  [paper]

• Chiu Wai Yan, Tsz-Him Cheung, and Dit-Yan Yeung. ILA-DA: Improving transferability of intermediate level attack with data augmentation. Proceedings of the Eleventh International Conference on Learning Representations (ICLR), Kigali, Rwanda, 1-5 May 2023.
  [paper]

• Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, and Dit-Yan Yeung. Detection recovery in online multi-object tracking with sparse graph tracker. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp.4850-4859, Waikoloa, Hawaii, 3-7 January 2023.
  [paper]

• Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, and Dit-Yan Yeung. Earthformer: Exploring space-time transformers for earth system forecasting. Advances in Neural Information Processing Systems 35. S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho & A. Oh (eds.), pp.25390-25403, 2022. (Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 28 November - 9 December 2022.)
  [paper]

• Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, and Dit-Yan Yeung. Improving 3D-aware image synthesis with a geometry-aware discriminator. Advances in Neural Information Processing Systems 35. S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho & A. Oh (eds.), pp.7921-7932, 2022. (Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 28 November - 9 December 2022.)
  [paper]

• Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, and Qifeng Chen. 3D-aware indoor scene synthesis with depth priors. Proceedings of the Seventeenth European Conference on Computer Vision (ECCV), Part XVI, pp.406-422, Tel Aviv, Israel, 23-27 October 2022.
  [paper]

• Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, and Hang Xu. CODA: A real-world road corner case dataset for object detection in autonomous driving. Proceedings of the Seventeenth European Conference on Computer Vision (ECCV), Part XXXVIII, pp.406-423, Tel Aviv, Israel, 23-27 October 2022.
  [paper]

• Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, and Dit-Yan Yeung. Controlled text generation using dictionary prior in variational autoencoders. Proceedings of the Sixtieth Annual Meeting of the Association for Computational Linguistics (Findings of ACL), pp.97-111, Dublin, Ireland, 22-27 May 2022.
  [paper]

• Tsz-Him Cheung and Dit-Yan Yeung. AdaAug: Learning class- and instance-adaptive data augmentation policies. Proceedings of the Tenth International Conference on Learning Representations (ICLR), 25-29 April 2022.
  [paper]

• Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, and Dit-Yan Yeung. MultiSiam: Self-supervised multi-instance siamese representation learning for autonomous driving. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.7546-7554, 11-17 October 2021.
  [paper]

• Zifan Shi, Na Fan, Dit-Yan Yeung, and Qifeng Chen. Stereo waterdrop removal with row-wise dilated attention. Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3829-3836, 27 September - 1 October 2021.
  [paper]

• Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, and Dit-Yan Yeung. Probing toxic content in large pre-trained language models. Proceedings of the Fifty-Ninth Annual Meeting of the Association for Computational Linguistics and the Eleventh International Joint Conference on Natural Language Processing (ACL-IJCNLP), pp.4262-4274, 1-6 August 2021.
  [paper]

• Tsz-Him Cheung and Dit-Yan Yeung. MODALS: Modality-agnostic automated data augmentation in the latent space. Proceedings of the Ninth International Conference on Learning Representations (ICLR), 4-8 May 2021.
  [paper]

• Wai-Lun Chan and Dit-Yan Yeung. Clickstream knowledge tracing: Modeling how students answer interactive online questions. Proceedings of the Eleventh International Conference on Learning Analytics and Knowledge (LAK), pp.99-109, 12-16 April 2021.
  [paper]

• Nedjma Ousidhoum, Yangqiu Song, and Dit-Yan Yeung. Comparative evaluation of label-agnostic selection bias in multilingual hate speech datasets. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.2532-2542, 16-20 November 2020.
  [paper]

• Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. Multilingual and multi-aspect hate speech analysis. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) and Ninth International Joint Conference on Natural Language Processing (IJCNLP), pp.4675-4684, Hong Kong, China, 3-7 November 2019.
  [paper]

• Ting Sun, Dezhen Song, Dit-Yan Yeung, and Ming Liu. Semi-semantic line-cluster assisted monocular SLAM for indoor environments. Proceedings of the Twelfth International Conference on Computer Vision Systems (ICVS), Thessaloniki, Greece, 23-25 September 2019.
  [paper]

• Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, and Dit-Yan Yeung. Marginalized average attentional network for weakly-supervised learning. Proceedings of the Seventh International Conference on Learning Representations (ICLR), New Orleans, Louisiana, USA, 6-9 May 2019.
  [paper]

• Jinseok Lee and Dit-Yan Yeung. Knowledge query network for knowledge tracing: How knowledge interacts with skills. Proceedings of the Ninth International Conference on Learning Analytics and Knowledge (LAK), pp.491-500, Tempe, Arizona, USA, 4-8 March 2019.
  [paper]

• Mucong Ding, Kai Yang, Dit-Yan Yeung, and Ting-Chuen Pong. Effective feature learning with unsupervised learning for improving the predictive models in massive open online courses. Proceedings of the Ninth International Conference on Learning Analytics and Knowledge (LAK), pp.135-144, Tempe, Arizona, USA, 4-8 March 2019.
  [paper]

• Siyi Li, Jiaji Zhou, Zhenzhong Jia, Dit-Yan Yeung, and Matthew T. Mason. Learning accurate objectness instance segmentation from photo-realistic rendering for robotic manipulation. Proceedings of the 2018 International Symposium on Experimental Robotics (ISER), pp.245-255, Buenos Aires, Argentina, 5-8 November 2018.
  [paper]

• Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, and Dit-Yan Yeung. GaAN: Gated attention networks for learning on large and spatiotemporal graphs. Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI), pp.339-349, Monterey, California, USA, 6-10 August 2018.
  [paper]

• Chun-Kit Yeung, Zizheng Lin, Kai Yang, and Dit-Yan Yeung. Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction. Proceedings of the Workshop on Scientific Findings from the ASSISTments Longitudinal Data Competition, the Eleventh International Conference on Educational Data Mining (EDM), Buffalo, NY, USA, 15-18 July 2018.
  [paper]

• Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, and Shaojie Shen. Learning unmanned aerial vehicle control for autonomous target following. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), pp.4936-4942, Stockholm, Sweden, 13-19 July 2018.
  [paper]

• Chun-Kit Yeung and Dit-Yan Yeung. Addressing two problems in deep knowledge tracing via prediction-consistent regularization. Proceedings of the Fifth Annual ACM Conference on Learning at Scale (L@S), London, UK, 26-28 June 2018.
  [paper]

• Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, and Wang-chun Woo. Deep learning for precipitation nowcasting: A benchmark and a new model. Advances in Neural Information Processing Systems 30. I. Guyon, U.V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan & R. Garnett (eds.), pp.5620-5630, 2017. (Thirty-First Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, USA, 4-9 December 2017.)
  [paper]

• Feng Xiong, Xingjian Shi, and Dit-Yan Yeung. Spatiotemporal modeling for crowd counting in videos. Proceedings of the Sixteenth IEEE International Conference on Computer Vision (ICCV), pp.5151-5159, Venice, Italy, 22-29 October 2017.
  [paper]

• Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, and Abhinav Gupta. Temporal dynamic graph LSTM for action-driven video object detection. Proceedings of the Sixteenth IEEE International Conference on Computer Vision (ICCV), pp.1801-1810, Venice, Italy, 22-29 October 2017.
  [paper]

• Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, and Silvio Savarese. Lattice long short-term memory for human action recognition. Proceedings of the Sixteenth IEEE International Conference on Computer Vision (ICCV), pp.2147-2156, Venice, Italy, 22-29 October 2017.
  [paper]

• Ting Sun, Shengyi Nie, Dit-Yan Yeung, and Shaojie Shen. Gesture-based piloting of an aerial robot using monocular vision. Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), pp.5913-5920, Singapore, 29 May - 3 June 2017.
  [paper]

• Jiani Zhang, Xingjian Shi, Irwin King, and Dit-Yan Yeung. Dynamic key-value memory networks for knowledge tracing. Proceedings of the Twenty-Sixth International World Wide Web Conference (WWW), pp.765-774, Perth, Australia, 3-7 April 2017.
  [paper]

• Siyi Li and Dit-Yan Yeung. Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), pp.4140-4146, San Francisco, California, USA, 4-9 February 2017.
  [paper]

• Hao Wang, Xingjian Shi, and Dit-Yan Yeung. Relational deep learning: A deep latent variable model for link prediction. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), pp.2688-2694, San Francisco, California, USA, 4-9 February 2017.
  [paper]

• Zhourong Chen, Nevin Zhang, Dit-Yan Yeung, and Peixian Chen. Sparse Boltzmann machines with structure learning as applied to text analysis. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), pp.1805-1811, San Francisco, California, USA, 4-9 February 2017.
  [paper]

• Hao Wang, Xingjian Shi, and Dit-Yan Yeung. Natural-parameter networks: A class of probabilistic neural networks. Advances in Neural Information Processing Systems 29, D.D. Lee, M. Sugiyama, U.V. Luxburg, I. Guyon & R. Garnett (eds.), pp.118-126, 2016. (Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, 5-10 December 2016.)
  [paper]

• Hao Wang, Xingjian Shi, and Dit-Yan Yeung. Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks. Advances in Neural Information Processing Systems 29, D.D. Lee, M. Sugiyama, U.V. Luxburg, I. Guyon & R. Garnett (eds.), pp.415-423, 2016. (Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, 5-10 December 2016.)
  [paper]

• Naiyan Wang, Jianping Shi, Dit-Yan Yeung, and Jiaya Jia. Understanding and diagnosing visual tracking systems. Proceedings of the Fifteenth IEEE International Conference on Computer Vision (ICCV), pp.3101-3109, Santiago, Chile, 11-18 December 2015.
  [paper]

• Lin Sun, Kui Jia, Dit-Yan Yeung, and Bertram E. Shi. Human action recognition using factorized spatio-temporal convolutional networks. Proceedings of the Fifteenth IEEE International Conference on Computer Vision (ICCV), pp.4597-4605, Santiago, Chile, 11-18 December 2015.
  [paper]

• Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, and Wang-chun Woo. Convolutional LSTM network: A machine learning approach for precipitation nowcasting. Advances in Neural Information Processing Systems 28, C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama & R. Garnett (eds.), pp.802-810, 2015. (Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Quebec, Canada, 7-12 December 2015.)
  [paper]

• Fei Mi and Dit-Yan Yeung. Temporal models for predicting student dropout in massive open online courses. Proceedings of the ICDM Workshop on Data Mining for Educational Assessment and Feedback (ASSESS), Atlantic City, New Jersey, USA, 14 November 2015.
  [paper]

• Hao Wang, Naiyan Wang, and Dit-Yan Yeung. Collaborative deep learning for recommender systems. Proceedings of the Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.1235-1244, Sydney, Australia, 10-13 August 2015.
  [paper] [project page]

• Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, and Alexander G. Hauptmann. DevNet: A deep event network for multimedia event detection and evidence recounting. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.2568-2577, Boston, Massachusetts, USA, 7-12 June 2015.
  [paper]

• Peixian Chen, Naiyan Wang, Nevin L. Zhang, and Dit-Yan Yeung. Bayesian adaptive matrix factorization with automatic model selection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.1284-1292, Boston, Massachusetts, USA, 7-12 June 2015.
  [paper]

• Fei Mi and Dit-Yan Yeung. Probabilistic graphical models for boosting cardinal and ordinal peer grading in MOOCs. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp.454-460, Austin, Texas, USA, 25-30 January 2015.
  [paper] [project page]

• Hao Wang, Xingjian Shi, and Dit-Yan Yeung. Relational stacked denoising autoencoder for tag recommendation. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp.3052-3058, Austin, Texas, USA, 25-30 January 2015.
  [paper] [project page]

• Naiyan Wang and Dit-Yan Yeung. Ensemble-based tracking: Aggregating crowdsourced structured time series data. Proceedings of the Thirty-First International Conference on Machine Learning (ICML), JMLR W&CP 32(1), pp.1107-1115, Beijing, China, 21-26 June 2014.
  [paper] [project page]

• Naiyan Wang and Dit-Yan Yeung. Learning a deep compact image representation for visual tracking. Advances in Neural Information Processing Systems 26, C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani & K.Q. Weinberger (eds.), pp.809-817, 2013. (Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 5-10 December 2013.)
  [paper] [project page]

• Naiyan Wang, Jingdong Wang, and Dit-Yan Yeung. Online robust non-negative dictionary learning for visual tracking. Proceedings of the Fourteenth IEEE International Conference on Computer Vision (ICCV), pp.657-664, Sydney, Australia, 1-8 December 2013.
  [paper] [project page]

• Naiyan Wang and Dit-Yan Yeung. Bayesian robust matrix factorization for image and video processing. Proceedings of the Fourteenth IEEE International Conference on Computer Vision (ICCV), pp.1785-1792, Sydney, Australia, 1-8 December 2013.
  [paper] [project page]

• Yu Zhang and Dit-Yan Yeung. Learning high-order task relationships in multi-task learning. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI), pp.1917-1923, Beijing, China, 3-9 August 2013.
  [paper]

• Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, and Jiaya Jia. SCMF: Sparse covariance matrix factorization for collaborative filtering. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI), pp.2705-2711, Beijing, China, 3-9 August 2013.
  [paper]

• Yi Zhen and Dit-Yan Yeung. Co-regularized hashing for multimodal data. Advances in Neural Information Processing Systems 25, P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou & K.Q. Weinberger (eds.), pp.1385-1393, 2012. (Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 3-8 December 2012.)
  [paper] [MATLAB code]

• Naiyan Wang, Tiansheng Yao, Jingdong Wang, and Dit-Yan Yeung. A probabilistic approach to robust matrix factorization. Proceedings of the Twelfth European Conference on Computer Vision (ECCV), pp.126-139, Firenze, Italy, 7-13 October 2012.
  [paper] [project page]

• Yu Zhang and Dit-Yan Yeung. Multi-task boosting by exploiting task relationships. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.697-710, Bristol, UK, 24-28 September 2012.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Overlapping community detection via bounded non-negative matrix tri-factorization. Proceedings of the Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.606-614, Beijing, China, 12-16 August 2012.
  [paper] [MATLAB code]

• Yi Zhen and Dit-Yan Yeung. A probabilistic model for multimodal hash function learning. Proceedings of the Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.940-948, Beijing, China, 12-16 August 2012.
  [paper] [MATLAB code]

• Wu-Jun Li and Dit-Yan Yeung. Sparse probabilistic relational projection. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), pp.1005-1011, Toronto, Ontario, Canada, 22-26 July 2012.
  [paper]

• Yu Zhang, Dit-Yan Yeung, and Eric P. Xing. Supervised probabilistic robust embedding with sparse noise. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), pp.1226-1232, Toronto, Ontario, Canada, 22-26 July 2012.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Discriminative experimental design. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.585-596, Athens, Greece, 5-9 September 2011.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Multi-task learning in heterogeneous feature spaces. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), pp.574-579, San Francisco, California, USA, 7-11 August 2011.
  [paper] [MATLAB code]

• Wu-Jun Li and Dit-Yan Yeung. Social relations model for collaborative filtering. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), pp.803-808, San Francisco, California, USA, 7-11 August 2011.
  [paper]

• Wu-Jun Li, Dit-Yan Yeung, and Zhihua Zhang. Generalized latent factor models for social network analysis. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), pp.1705-1710, Barcelona, Spain, 16-22 July 2011.
  [paper] [MATLAB code; Cora data set]

• Emprise Y.K. Chan and Dit-Yan Yeung. A convex formulation of modularity maximization for community detection. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), pp.2218-2225, Barcelona, Spain, 16-22 July 2011.
  [paper] [MATLAB code]

• Yu Zhang, Dit-Yan Yeung, and Qian Xu. Probabilistic multi-task feature selection. Advances in Neural Information Processing Systems 23, J. Lafferty, C.K.I. Williams, J. Shawe-Taylor, R.S. Zemel & A. Culotta (eds.), pp.2559-2567, 2010. (Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 6-11 December 2010.)
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Worst-case linear discriminant analysis. Advances in Neural Information Processing Systems 23, J. Lafferty, C.K.I. Williams, J. Shawe-Taylor, R.S. Zemel & A. Culotta (eds.), pp.2568-2576, 2010. (Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 6-11 December 2010.)
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Transfer metric learning by learning task relationships. Proceedings of the Sixteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.1199-1207, Washington, DC, USA, 25-28 July 2010.
  [paper] [MATLAB code]

• Yi Zhen and Dit-Yan Yeung. SED: Supervised experimental design and its application to text classification. Proceedings of the Thirty-Third Annual ACM SIGIR Conference (SIGIR), pp.299-306, Geneva, Switzerland, 19-23 July 2010.
  [paper]

• Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, and Xinwen Hou. Transductive learning on adaptive graphs. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.661-666, Atlanta, Georgia, USA, 11-15 July 2010.
  [paper]

• Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, and Cheng-Lin Liu. Gaussian process latent random field. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.679-684, Atlanta, Georgia, USA, 11-15 July 2010.
  [paper]

• Bin Cao, Sinno Pan, Yu Zhang, Dit-Yan Yeung, and Qiang Yang. Adaptive transfer learning. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.407-412, Atlanta, Georgia, USA, 11-15 July 2010.
  [paper]

• Yu Zhang and Dit-Yan Yeung. A convex formulation for learning task relationships in multi-task learning. Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, USA, 8-11 July 2010. (Best Paper Award)
  [paper] [MATLAB code]

• Yu Zhang, Bin Cao, and Dit-Yan Yeung. Multi-domain collaborative filtering. Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, USA, 8-11 July 2010.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Multi-task warped Gaussian process for personalized age estimation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.2622-2629, San Francisco, California, USA, 13-18 June 2010.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Multi-task learning using generalized t process. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 9, pp.964-971, Sardinia, Italy, 13-15 May 2010.
  [paper] [MATLAB code]

• Wu-Jun Li, Dit-Yan Yeung, and Zhihua Zhang. Probabilistic relational PCA. Advances in Neural Information Processing Systems 22, Y. Bengio, D. Schuurmans, J. Lafferty, C.K.I. Williams & A. Culotta (eds.), pp.1123-1131, 2009. (Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 7-12 December 2009.)
  [paper] [MATLAB code]

• Yi Zhen, Wu-Jun Li, and Dit-Yan Yeung. TagiCoFi: Tag informed collaborative filtering. Proceedings of the Third ACM Conference on Recommender Systems (RecSys), pp.69-76, New York City, New York, USA, 22-25 October 2009.
  [paper] [C++ code]

• Yu Zhang and Dit-Yan Yeung. Heteroscedastic probabilistic linear discriminant analysis with semi-supervised extension. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.602-616, Bled, Slovenia, 7-11 September 2009.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Semi-supervised multi-task regression. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.617-631, Bled, Slovenia, 7-11 September 2009.
  [paper] [MATLAB code]

• Wu-Jun Li and Dit-Yan Yeung. Relation regularized matrix factorization. Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI), pp.1126-1131, Pasadena, California, USA, 11-17 July 2009.
  [paper] [MATLAB code; data]

• Wu-Jun Li and Dit-Yan Yeung. Localized content-based image retrieval through evidence region identification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.1666-1673, Miami Beach, Florida, USA, 20-25 June 2009.
  [paper] [MATLAB code; SIVAL data set; COREL data set]

• Wu-Jun Li, Zhihua Zhang, and Dit-Yan Yeung. Latent Wishart processes for relational kernel learning. Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 5, pp.336-343, Clearwater Beach, Florida, USA, 16-18 April 2009.
  [paper] [MATLAB code; data]

• Zhihua Zhang, Michael Jordan, Wu-Jun Li, and Dit-Yan Yeung. Coherence functions for multicategory margin-based classification methods. Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 5, pp.647-654, Clearwater Beach, Florida, USA, 16-18 April 2009.
  [paper]

• Zhihua Zhang, Michael Jordan, and Dit-Yan Yeung. Posterior consistency of the Silverman g-prior in Bayesian model choice. In Advances in Neural Information Processing Systems 21, D. Koller, D. Schuurmans, Y. Bengio & L. Bottou (eds.), pp.1969-1976, 2009. (Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 8-11 December 2008.)
  [paper]

• Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, and Long Quan. Learning two-view stereo matching. Proceedings of the Tenth European Conference on Computer Vision (ECCV), pp.15-27, Marseille, France, 12-18 October 2008.
  [paper]

• Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, and Long Quan. Structuring visual words in 3D for arbitrary-view object localization. Proceedings of the Tenth European Conference on Computer Vision (ECCV), pp.725-737, Marseille, France, 12-18 October 2008.
  [paper]

• Yu Zhang and Dit-Yan Yeung. Semi-supervised discriminant analysis via CCCP. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.644-659, Antwerp, Belgium, 15-19 September 2008.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Semi-supervised discriminant analysis using robust path-based similarity. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, 23-28 June 2008.
  [paper] [MATLAB code]

• Kui Jia and Dit-Yan Yeung. Human action recognition using local spatio-temporal discriminant embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, 23-28 June 2008.
  [paper]

• Hong Chang and Dit-Yan Yeung. Locally smooth metric learning with application to image retrieval. Proceedings of the Eleventh IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 14-20 October 2007.
  [paper]

• Ho-Yu Lam and Dit-Yan Yeung. A learning approach to spam detection based on social networks. Proceedings of the Fourth Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA, 2-3 August 2007.
  [paper]

• Guang Dai and Dit-Yan Yeung. Kernel selection for semi-supervised kernel machines. Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML), pp.185-192, Corvallis, Oregon, USA, 20-24 June 2007.
  [paper]

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. A kernel path algorithm for support vector machines. Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML), pp.951-958, Corvallis, Oregon, USA, 20-24 June 2007.
  [paper]

• Wei Fan and Dit-Yan Yeung. Image hallucination using neighbor embedding over visual primitive manifolds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, USA, 18-23 June 2007.
  [paper]

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. The kernel path in kernelized LASSO. Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 2, pp.580-587, San Juan, Puerto Rico, 21-24 March 2007.
  [paper]

• Wei Fan, Tao Wang, Jean Yves Bouguet, Wei Hu, Yimin Zhang, and Dit-Yan Yeung. Semi-supervised cast indexing for feature-length films. Proceedings of the 2007 ACM International MultiMedia Modeling Conference (MMM), pp.625-635, Singapore, 9-12 January 2007.
  [paper]

• Dit-Yan Yeung, Hong Chang, and Guang Dai. A scalable kernel-based algorithm for semi-supervised metric learning. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pp.1138-1143, Hyderabad, India, 6-12 January 2007.
  [paper]

• Guang Dai and Dit-Yan Yeung. Boosting kernel discriminant analysis and its application to tissue classification of gene expression data. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pp.744-749, Hyderabad, India, 6-12 January 2007.
  [paper]

• Gang Wang, Tao Chen, Dit-Yan Yeung, and Frederick H. Lochovsky. Solution path for semi-supervised classification with manifold regularization. Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM), pp.1124-1129, Hong Kong, China, 18-22 December 2006.
  [paper]

• Jian Xia, Dit-Yan Yeung, and Guang Dai. Local discriminant embedding with tensor representation. Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.929-932, Atlanta, Georgia, USA, 8-11 October 2006.
  [paper]

• Shu Liao, Wei Fan, Albert C.S. Chung, and Dit-Yan Yeung. Facial expression recognition using advanced local binary patterns, Tsallis entropies and global appearance features. Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.665-668, Atlanta, Georgia, USA, 8-11 October 2006.
  [paper]

• Guang Dai and Dit-Yan Yeung. Tensor embedding methods. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI), pp.330-335, Boston, Massachusetts, USA, 16-20 July 2006.
  [paper]

• Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, and Dit-Yan Yeung. A manifold regularization approach to calibration reduction for sensor-network based tracking. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI), pp.988-993, Boston, Massachusetts, USA, 16-20 July 2006.
  [paper]

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. Two-dimensional solution path for support vector regression. Proceedings of the Twenty-Third International Conference on Machine Learning (ICML), pp.993-1000, Pittsburgh, Pennsylvania, USA, 25-29 June 2006.
  [paper]

• Hong Chang and Dit-Yan Yeung. Graph Laplacian kernels for object classification from a single example. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.2, pp.2011-2016, New York, NY, USA, 17-22 June 2006.
  [paper]

• Wei Fan and Dit-Yan Yeung. Locally linear models on face appearance manifolds with application to dual-subspace based classification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.2, pp.1384-1390, New York, NY, USA, 17-22 June 2006.
  [paper]

• Ho-Yu Lam, Chi-Pan Li, Samuel T. Chanson, and Dit-Yan Yeung. A coordinated detection and response scheme for distributed denial-of-service attacks. Proceedings of the IEEE International Conference on Communications (ICC), Istanbul, Turkey, 11-15 June 2006.
  [paper]

• Guang Dai, Dit-Yan Yeung, and Hong Chang. Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion. Proceedings of the Ninth European Conference on Computer Vision (ECCV), pp.308-320, Graz, Austria, 7-13 May 2006.
  [paper]

• Wei Chen and Dit-Yan Yeung. Defending against TCP SYN flooding attacks under different types of IP spoofing. Proceedings of the Fifth IEEE International Conference on Networking (ICN), Morne, Mauritius, 23-26 April 2006.
  [paper]

• Wei Fan and Dit-Yan Yeung. Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds. Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp.177-182, Southampton, UK, 10-12 April 2006.
  [paper]

• Hong Chang and Dit-Yan Yeung. Robust path-based spectral clustering with application to image segmentation. Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV), vol.1, pp.278-285, Beijing, China, 15-21 October 2005.
  [paper]

• Guang Dai and Dit-Yan Yeung. Nonlinear dimensionality reduction for classification using kernel weighted subspace method. Proceedings of the IEEE International Conference on Image Processing (ICIP), vol.2, pp.838-841, Genoa, Italy, 11-14 September 2005.
  [paper]

• Hong Chang and Dit-Yan Yeung. Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance. Proceedings of the Sixteenth British Machine Vision Conference (BMVC), pp.21-29, Oxford, UK, 5-8 September 2005.
  [paper]

• Hong Chang and Dit-Yan Yeung. Semi-supervised metric learning by kernel matrix adaptation. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC), pp.3210-3215, Guangzhou, China, 18-21 August 2005.
  [paper]

• Zhihua Zhang, Kap Luk Chan, James T. Kwok, and Dit-Yan Yeung. Bayesian inference on principal component analysis using reversible jump Markov chain Monte Carlo. Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI), pp.372-377, San Jose, California, USA, 25-29 July 2004.
  [paper]

• Dit-Yan Yeung, Hong Chang, Yimin Xiong, Susan George, Ramanujan Kashi, Takashi Matsumoto, and Gerhard Rigoll. SVC2004: First International Signature Verification Competition. Proceedings of the International Conference on Biometric Authentication (ICBA), pp.16-22, Hong Kong, 15-17 July 2004.
  [paper]

• Hong Chang and Dit-Yan Yeung. Locally linear metric adaptation for semi-supervised clustering. Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pp.153-160, Banff, Alberta, Canada, 4-8 July 2004.
  [paper]

• Zhihua Zhang, Dit-Yan Yeung, and James T. Kwok. Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pp.935-942, Banff, Alberta, Canada, 4-8 July 2004.
  [paper]

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pp.927-934, Banff, Alberta, Canada, 4-8 July 2004.
  [paper]

• Hong Chang, Dit-Yan Yeung, and Yimin Xiong. Super-resolution through neighbor embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.1, pp.275-282, Washington, DC, USA, 27 June - 2 July 2004.
  [paper] [MATLAB code]

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Parametric distance metric learning with label information. Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), pp.1450-1452, Acapulco, Mexico, 9-15 August 2003.
  [paper; longer version]

• Yimin Xiong and Dit-Yan Yeung. Mixtures of ARMA models for model-based time series clustering. Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM), pp.717-720, Maebashi City, Japan, 9-12 December 2002.
  [paper; longer version]

• Dit-Yan Yeung and Calvin Chow. Parzen-window network intrusion detectors. Proceedings of the Sixteenth International Conference on Pattern Recognition (ICPR), vol.4, pp.385-388, Quebec City, Canada, 11-15 August 2002.
  [paper]

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. Multi-model approach to non-stationary reinforcement learning. Proceedings of the Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, pp.350-355, Banff, Canada, 17-19 July 2002.
  [paper]

• Dit-Yan Yeung and Yuxin Ding. User profiling for intrusion detection using dynamic and static behavioral models. In Advances in Knowledge Discovery and Data Mining, M.S. Chen, P.S. Yu & B. Liu (eds.), pp.494-505, Springer, 2002. (Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002, Taipei, Taiwan, 6-8 May 2002.)
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. PenCalc: a novel application of on-line mathematical expression recognition technology. Proceedings of the Sixth International Conference on Document Analysis and Recognition (ICDAR), pp.774-778, Seattle, Washington, USA, 10-13 September 2001.
  [paper]

• Samuel P.M. Choi, Nevin L. Zhang, and Dit-Yan Yeung. Solving hidden-mode Markov decision problems. Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics (AISTATS), pp.19-26, Key West, Florida, USA, 4-7 January 2001.
  [paper]

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. An environment model for nonstationary reinforcement learning. In Advances in Neural Information Processing Systems 12, S.A. Solla, T.K. Leen & K.R. Muller (eds.), pp.987-993, MIT Press, 2000. (Thirteenth Annual Conference on Neural Information Processing Systems (NIPS), Denver, Colorado, USA, 29 November - 4 December 1999.)
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. A bidirectional matching algorithm for deformable pattern detection with application to handwritten word retrieval. Proceedings of the Seventh IEEE International Conference on Computer Vision (ICCV), vol.2, pp.1105-1110, Kerkyra, Greece, 20-27 September 1999.
  [paper]

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. Hidden-mode Markov decision processes. Proceedings of the IJCAI'99 Workshop on Neural, Symbolic, and Reinforcement Methods for Sequence Learning, Stockholm, Sweden, 1 August 1999.
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Robust deformable matching for character extraction. Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp.179-188, Taejon, Korea, 12-14 August 1998.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters. Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp.229-238, Taejon, Korea, 12-14 August 1998.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Elastic structural matching for on-line handwritten alphanumeric character recognition. Proceedings of the Fourteenth International Conference on Pattern Recognition (ICPR), pp.1508-1511, Brisbane, Australia, 17-20 August 1998.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Towards efficient structural analysis of mathematical expressions. In Advances in Pattern Recognition, A. Amin, D. Dori, P. Pudil & H. Freeman (eds.), pp.437-444, Springer-Verlag, 1998. (Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney, Australia, 11-13 August 1998.)
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Recognition of handwritten digits using deformable models. Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp.259-262, Colchester, England, 2-5 September 1996.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Reference priors for neural networks: Laplace versus Gaussian. Proceedings of the International Conference on Neural Information Processing (ICONIP), pp.109-114, Hong Kong, 24-27 September 1996.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Bayesian regularization in constructive neural networks. Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp.557-562, Bochum, Germany, 16-19 July 1996.
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Competitive mixture of deformable models for pattern classification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.613-618, San Francisco, California, USA, 18-20 June 1996.
  [paper]

• Samuel P.M. Choi and Dit-Yan Yeung. Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control. In Advances in Neural Information Processing Systems 8, D.S. Touretzky, M.C. Mozer & M.E. Hasselmo (eds.), pp.945-951, MIT Press, 1996. (Ninth Annual Conference on Neural Information Processing Systems (NIPS), Denver, Colorado, USA, 28-30 November 1995.)
  [paper]

• Xiaolin Li and Dit-Yan Yeung. On-line handwritten alphanumeric character recognition using feature sequences. In Image Analysis Applications and Computer Graphics, Roland T. Chin, H.H.S. Ip, A.C. Naiman & T.C. Pong (eds.), pp.197-204, Springer-Verlag, 1995. (Third International Computer Science Conference, ICSC'95, Hong Kong, 11-13 December 1995.)
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. A unified framework for handwritten character recognition using deformable models. Proceedings of the Second Asian Conference on Computer Vision (ACCV), pp.344-348, Singapore, 5-8 December 1995.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Efficient cross-validation for feedforward neural networks. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.2789-2794, Perth, Western Australia, 27 November - 1 December 1995.
  [paper]

• Pak-Keung Lai, Man-Chi Pong, and Dit-Yan Yeung. Chinese glyph generation using character composition and beauty evaluation metrics. Proceedings of the International Conference on Computer Processing of Oriental Languages (ICCPOL), pp.92-99, Honolulu, Hawaii, 23-25 November 1995.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Improving the approximation and convergence capabilities of projection pursuit learning. Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp.197-202, Paris, France, 9-13 October 1995.
  [paper]

• Dit-Yan Yeung. A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study. Proceedings of the Third International Conference on Document Analysis and Recognition (ICDAR), pp.1069-1073, Montreal, Canada, 14-16 August 1995.
  [paper]

• H.C. Lau, Kwok-Yip Szeto, K.Y. Michael Wong, and Dit-Yan Yeung. A hybrid expert system for error message classification. Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, pp.339-346, Stockholm, Sweden, 22-24 May 1995.

• Dit-Yan Yeung and Kei-Wai Yeung. ASCOC: A locally recurrent neural network model for grammatical inference. Proceedings of the International Conference on Neural Information Processing (ICONIP), pp.1468-1473, Seoul, Korea, 17-20 October 1994.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive neural networks: Some practical considerations. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.198-203, Orlando, Florida, USA, 28 June - 2 July 1994.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. A theoretically sound learning algorithm for constructive neural networks. Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, pp.389-392, Hong Kong, 13-16 April 1994.
  [paper]

• Kwok-Leung Mou and Dit-Yan Yeung. Gabriel networks: Self-organizing neural networks for adaptive vector quantization. Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, pp.658-661, Hong Kong, 13-16 April 1994.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Experimental analysis of input weight freezing in constructive neural networks. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.511-516, San Francisco, California, USA, 28 March - 1 April 1993.
  [paper]

• Dit-Yan Yeung. Automatic determination of network size for supervised learning. Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp.158-164, Singapore, 18-21 November 1991.

• Dit-Yan Yeung. A neural network approach to constructive induction. Proceedings of the Eighth International Workshop on Machine Learning (ICML), pp.228-232, Evanston, Illinois, USA, 27-29 June 1991.

• Dit-Yan Yeung and George A. Bekey. Using a context-sensitive learning network for robot arm control. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp.1441-1447, Scottsdale, Arizona, USA, 14-19 May 1989.

• Dit-Yan Yeung and George A. Bekey. Game-theoretic interaction among stochastic learning networks for adaptive load balancing. Proceedings of the First Annual Meeting of the International Neural Network Society, pp.368, Boston, Massachusetts, USA, 6-10 September 1988.

• Dit-Yan Yeung. Supervised learning of action probabilities in associative reinforcement learning. Proceedings of the Connectionist Models Summer School, pp.162-171, Carnegie-Mellon University, Pittsburgh, Pennsylvania, USA, 17-26 June 1988.

• Dit-Yan Yeung and George A. Bekey. Adaptive load balancing between mobile robots through learning in an artificial neural system. Proceedings of the American Control Conference (ACC), pp.2299-2304, Atlanta, Georgia, USA, 15-17 June 1988.

• Xiaodong Xia and Dit-Yan Yeung. A learning model for the selection of problem solving strategies in continuous physical systems. Proceedings of the IEEE Conference on Artificial Intelligence Applications, pp.200-206, San Diego, California, USA, 14-18 March 1988.

• Dit-Yan Yeung and George A. Bekey. Coordinating multiple mobile robots for materials handling. Proceedings of the SME Conference on Artificial Intelligence in Manufacturing, pp.85-99, Long Beach, California, USA, 14-16 October 1987.

• Dit-Yan Yeung and George A. Bekey. A decentralized approach to the motion planning problem for multiple mobile robots. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp.1779-1784, Raleigh, North Carolina, USA, 31 March -- 3 April 1987.

• Dit-Yan Yeung and Chorkin Chan. Identification of unaspirated plosives using integrated temporal and spectral features in dynamic representation as acoustic cues. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.1593-1596, Tampa, Florida, USA, March 1985.

• Tsz-Him Cheung and Dit-Yan Yeung. A survey of automated data augmentation for image classification: Learning to compose, mix and generate. To appear in IEEE Transactions on Neural Networks and Learning Systems, 2023.
  [paper]

• Meng Qin and Dit-Yan Yeung. Temporal link prediction: A unified framework, taxonomy, and review. ACM Computing Surveys, 56(4), Article 89, November 2023.
  [paper]

• Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, and Dit-Yan Yeung. High-quality temporal link prediction for weighted dynamic graphs via inductive embedding aggregation. IEEE Transactions on Knowledge and Data Engineering, 35(9):9378-9393, September 2023.
  [paper]

• Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, and Dit-Yan Yeung. Towards a better trade-off between quality and efficiency of community detection: An inductive embedding method across graphs. ACM Transactions on Knowledge Discovery from Data, 17(9), Article 127, June 2023.
  [paper]

• Estee Y. Cramer, Yuxin Huang, Yijin Wang, et al. The United States COVID-19 Forecast Hub dataset. Nature Scientific Data, 9, Article 462, August 2022.
  [paper]

• Hao Wang and Dit-Yan Yeung. A survey on Bayesian deep learning. ACM Computing Surveys, 53(5), Article 108, September 2020.
  [paper]

• Ting Sun, Ming Liu, Haoyang Ye, and Dit-Yan Yeung. Point-cloud-based place recognition using CNN feature extraction. IEEE Sensors Journal, 19(24):12175-12186, December 2019.
  [paper]

• Chun-Kit Yeung and Dit-Yan Yeung. Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction. International Journal of Artificial Intelligence in Education, 29(3):317-341, August 2019.
  [paper]

• Ting Sun, Lin Sun, and Dit-Yan Yeung. Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features. Image and Vision Computing, 64:47-66, August 2017.
  [paper]

• Hao Wang and Dit-Yan Yeung. Towards Bayesian deep learning: A framework and some existing methods. IEEE Transactions on Knowledge and Data Engineering, 28(12):3395-3408, December 2016.
  [paper]

• Yi Zhen, Yue Gao, Dit-Yan Yeung, Hongyuan Zha, and Xuelong Li. Spectral multimodal hashing and its application to multimedia retrieval. IEEE Transactions on Cybernetics, 46(1):27-38, January 2016.
  [paper]

• Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, and Wen Gao. Instance-specific canonical correlation analysis. Neurocomputing, 155:205-218, May 2015.
  [paper]

• Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, and Dit-Yan Yeung. Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artificial Intelligence, 215:55-78, October 2014.
  [paper]

• Yu Zhang and Dit-Yan Yeung. A regularization approach to learning task relationships in multi-task learning. ACM Transactions on Knowledge Discovery from Data, 8(3):12, June 2014.
  [paper]

• Yu Zhang and Dit-Yan Yeung. Multilabel relationship learning. ACM Transactions on Knowledge Discovery from Data, 7(2):7, July 2013.
  [paper]

• Yi Zhen and Dit-Yan Yeung. Active hashing and its application to image and text retrieval. Data Mining and Knowledge Discovery, 26(2):255-274, March 2013.
  [paper] [MATLAB code]

• Yu Zhang and Dit-Yan Yeung. Transfer metric learning with semi-supervised extension. ACM Transactions on Intelligent Systems and Technology, 3(3):54, May 2012.
  [paper] [MATLAB code]

• Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, and Frederick Lochovsky. Solution path for manifold regularized semisupervised classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42(2):308-319, April 2012.
  [paper]

• Yu Zhang and Dit-Yan Yeung. Semisupervised generalized discriminant analysis. IEEE Transactions on Neural Networks, 22(8):1207-1217, August 2011.
  [paper] [MATLAB code]

• Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, and Frederick Lochovsky. A regularization framework for multiclass classification: a deterministic annealing approach. Pattern Recognition, 43(7):2466-2475, July 2010.
  [DOI link]

• Wu-Jun Li and Dit-Yan Yeung. MILD: Multiple-instance learning via disambiguation. IEEE Transactions on Knowledge and Data Engineering, 22(1):76-89, January 2010.
  [paper] [MATLAB code and data]

• Dit-Yan Yeung, Hong Chang, and Guang Dai. A scalable kernel-based semi-supervised metric learning algorithm with out-of-sample generalization ability. Neural Computation, 20(11):2839-2861, November 2008.
  [paper]

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. A new solution path algorithm in support vector regression. IEEE Transactions on Neural Networks, 19(10):1753-1767, October 2008.
  [paper]

• Zhihua Zhang, Dit-Yan Yeung, James T. Kwok, and Edward Y. Chang. Sliced coordinate analysis for effective dimension reduction and nonlinear extensions. Journal of Computational and Graphical Statistics, 17(1):225-242, March 2008.
  [paper]

• Hong Chang and Dit-Yan Yeung. Robust path-based spectral clustering. Pattern Recognition, 41(1):191-203, January 2008.
  [paper; DOI link]

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Surrogate maximization/minimization algorithms and extensions. Machine Learning, 69(1):1-33, October 2007.
  [paper; DOI link]

• Dit-Yan Yeung, Hong Chang, and Guang Dai. Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognition, 40(7):2021-2028, July 2007.
  [paper; DOI link]

• Hong Chang and Dit-Yan Yeung. Kernel-based distance metric learning for content-based image retrieval. Image and Vision Computing, 25(5):695-703, May 2007.
  [paper; DOI link]

• Wei Ren, Dit-Yan Yeung, Hai Jin, and Mei Yang. Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks. International Journal of Network Security, 4(2):227-234, March 2007.
  [paper]

• Dit-Yan Yeung and Hong Chang. A kernel approach for semi-supervised metric learning. IEEE Transactions on Neural Networks, 18(1):141-149, January 2007.
  [paper]

• Guang Dai, Dit-Yan Yeung, and Yun-Tao Qian. Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognition, 40(1):229-243, January 2007.
  [paper; DOI link]

• Wei Chen and Dit-Yan Yeung. Throttling spoofed SYN flooding traffic at the source. Telecommunication Systems, 33(1-3):47-65, December 2006.
  [paper; DOI link]

• Hong Chang, Dit-Yan Yeung, and William K. Cheung. Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognition, 39(10):1905-1917, October 2006.
  [paper; DOI link]

• E.Y.K. Chan, H.W. Chan, K.M. Chan, P.S. Chan, S.T. Chanson, M.H. Cheung, C.F. Chong, K.P. Chow, A.K.T. Hui, L.C.K. Hui, S.K. Ip, C.K. Lam, W.C. Lau, K.H. Pun, Y.F. Tsang, W.W. Tsang, C.W. Tso, Dit-Yan Yeung, S.M. Yiu, K.Y. Yu, and W. Ju. Intrusion detection routers: design, implementation and evaluation using an experimental testbed. IEEE Journal on Selected Areas in Communications, 24(10):1889-1900, October 2006.

• Hong Chang and Dit-Yan Yeung. Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. Pattern Recognition, 39(7):1253-1264, July 2006.
  [paper; DOI link]

• Hong Chang and Dit-Yan Yeung. Robust locally linear embedding. Pattern Recognition, 39(6):1053-1065, June 2006.
  [paper; DOI link]

• Dit-Yan Yeung and Hong Chang. Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognition, 39(5):1007-1010, May 2006.
  [paper; DOI link]

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Model-based transductive learning of the kernel matrix. Machine Learning, 63(1):69-101, April 2006.
  [paper; DOI link]

• Yimin Xiong and Dit-Yan Yeung. Time series clustering with ARMA mixtures. Pattern Recognition, 37(8):1675-1689, August 2004.
  [paper; DOI link]

• Dit-Yan Yeung and Yuxin Ding. Host-based intrusion detection using dynamic and static behavioral models. Pattern Recognition, 36(1):229-243, January 2003.
  [paper; DOI link]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Bidirectional deformable matching with application to handwritten character extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(8):1133-1139, August 2002.
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. On deformable models for visual pattern recognition. Pattern Recognition, 35(7):1507-1526, July 2002.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Pattern Recognition, 34(8):1671-1684, August 2001.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Mathematical expression recognition: a survey. International Journal on Document Analysis and Recognition, 3(1):3-15, August 2000.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. Pattern Recognition, 33(3):375-384, March 2000.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Recognizing on-line handwritten alphanumeric characters through flexible structural matching. Pattern Recognition, 32(7):1099-1114, July 1999.
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. A Bayesian framework for deformable pattern recognition with application to handwritten character recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(12):1382-1388, December 1998.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Objective functions for training new hidden units in constructive neural networks. IEEE Transactions on Neural Networks, 8(5):1131-1148, September 1997.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Transactions on Neural Networks, 8(3):630-645, May 1997.
  [paper]

• Xiaolin Li and Dit-Yan Yeung. On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern Recognition, 30(1):31-44, January 1997.
  [paper]

• Pak-Keung Lai, Dit-Yan Yeung, and Man-Chi Pong. A heuristic search approach to Chinese glyph generation using hierarchical character composition. Computer Processing of Oriental Languages, 10(3):281-297, January 1997.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Transactions on Neural Networks, 7(5):1168-1183, September 1996.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Improving the approximation and convergence capabilities of projection pursuit learning. Neural Processing Letters, 2(3):20-25, May 1995.
  [paper]

• Dit-Yan Yeung. Constructive neural networks as estimators of Bayesian discriminant functions. Pattern Recognition, 26(1):189-204, January 1993.
  [paper]

• Dit-Yan Yeung and George A. Bekey. On reducing learning time in context-dependent mappings. IEEE Transactions on Neural Networks, 4(1):31-42, January 1993.

• Chorkin Chan and Dit-Yan Yeung. Context-free classification of Mandarin unvoiced initials. Computer Processing of Chinese and Oriental Languages, 3(2):66-76, December 1987.

• Zhihan Gao, Xingjian Shi, Hao Wang, Dit-Yan Yeung, Wang-chun Woo, and Wai-Kin Wong. Deep learning and the weather forecasting problem: precipitation nowcasting. In Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, G. Camps-Valls, D. Tuia, X.X. Zhu, and M. Reichstein (eds.), pp.218-239, John Wiley & Sons, 2021.
  [paper]

• Dit-Yan Yeung and Yu Zhang. Learning inverse dynamics by Gaussian process regression under the multi-task learning framework. In The Path to Autonomous Robots, G.S. Sukhatme (ed.), pp.131-142, Springer, 2009.
  [paper]

• Hong Chang and Dit-Yan Yeung. Kernel-based metric adaptation with pairwise constraints. In Advances in Machine Learning and Cybernetics, D.S. Yeung, Z.Q. Liu, X.Z. Wang & H. Yan (eds.), pp.721-730, Springer-Verlag, 2006.
  [paper; DOI link]

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. Hidden-mode Markov decision processes for nonstationary sequential decision making. In Sequence Learning: Paradigms, Algorithms, and Applications, R. Sun & C.L. Giles (eds.), pp.264-287, Springer-Verlag, 2001.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. A simple yet robust structural approach for on-line handwritten alphanumeric character recognition. In Advances in Handwriting Recognition, S.W. Lee (ed.), pp.39-48, World Scientific, 1999.

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Robust deformable matching for character extraction. In Advances in Handwriting Recognition, S.W. Lee (ed.), pp.235-244, World Scientific, 1999.

• Xiaodong Xia and Dit-Yan Yeung. A learning model for the selection of problem-solving strategies in continuous physical systems. In Goal-Driven Learning, D. Leake & A. Ram (eds.), chapter 12, pp.307-319, MIT Press, 1995.

• Hong Chang and Dit-Yan Yeung. Robust locally linear embedding. Technical Report HKUST-CS05-12, Department of Computer Science, Hong Kong University of Science and Technology, July 2005.
  [paper]

• Hong Chang and Dit-Yan Yeung. Robust path-based clustering for the unsupervised and semi-supervised learning settings. Technical Report HKUST-CS04-04, Department of Computer Science, Hong Kong University of Science and Technology, April 2004.
  [paper]

• Chi-Pan Li, Samuel T. Chanson, and Dit-Yan Yeung. A distributed scheme to defend against TCP-based distributed denial of service (DDoS) attacks. Technical Report HKUST-CS03-16, Department of Computer Science, Hong Kong University of Science and Technology, November 2003.
  [paper]

• Dit-Yan Yeung and Hong Chang. Relaxational metric adaptation: a nonparametric approach to distance metric learning for clustering with pairwise side information. Technical Report HKUST-CS03-07, Department of Computer Science, Hong Kong University of Science and Technology, June 2003.
  [paper]

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Parametric distance metric learning with label information. Technical Report HKUST-CS03-02, Department of Computer Science, Hong Kong University of Science and Technology, January 2003.
  [paper]

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. A novel family of subspace methods---protoface and its kernel version. Technical Report HKUST-CS02-29, Department of Computer Science, Hong Kong University of Science and Technology, November 2002.
  [paper]

• Zhihua Zhang, James T. Kwok, Dit-Yan Yeung, and Wanqiu Wang. A novel distance-based classifier using convolution kernels and Euclidean embeddings. Technical Report HKUST-CS02-28, Department of Computer Science, Hong Kong University of Science and Technology, November 2002.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Technical Report HKUST-CS99-06, Department of Computer Science, Hong Kong University of Science and Technology, May 1999.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Mathematical expression recognition: a survey. Technical Report HKUST-CS99-04, Department of Computer Science, Hong Kong University of Science and Technology, April 1999.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. Technical Report HKUST-CS98-10, Department of Computer Science, Hong Kong University of Science and Technology, August 1998.
  [paper]

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. On deformable models for visual pattern recognition. Technical Report HKUST-CS98-8, Department of Computer Science, Hong Kong University of Science and Technology, June 1998.
  [paper]

• Kam-Fai Chan and Dit-Yan Yeung. Elastic structural matching for recognizing on-line handwritten alphanumeric characters. Technical Report HKUST-CS98-07, Department of Computer Science, Hong Kong University of Science and Technology, March 1998.
  [paper]

• Pak-Keung Lai, Dit-Yan Yeung, and Man-Chi Pong. Chinese glyph generation by heuristic search. Technical Report HKUST-CS96-17, Department of Computer Science, Hong Kong University of Science and Technology, June 1996.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive feedforward neural networks for regression problems: A survey. Technical Report HKUST-CS95-43, Department of Computer Science, Hong Kong University of Science and Technology, September 1995.
  [paper]

• Dit-Yan Yeung and Kei-Wai Yeung. Auto-associative learning of on-line handwriting using recurrent neural networks. Technical Report HKUST-CS94-38, Department of Computer Science, Hong Kong University of Science and Technology, November 1994.
  [paper]

• Dit-Yan Yeung and Kei-Wai Yeung. ASCOC: A recurrent neural network model for grammatical inference. Technical Report HKUST-CS94-37, Department of Computer Science, Hong Kong University of Science and Technology, September 1994.
  [paper]

• Tin-Yau Kwok and Dit-Yan Yeung. Theoretical analysis of constructive neural networks. Technical Report HKUST-CS93-12, Department of Computer Science, Hong Kong University of Science and Technology, November 1993.
  [paper]