(Conferences, Journals, By Area, DBLP, ArnetMiner)
Books
1.
Qiang
Yang, Intelligent Planning --- A Decomposition
and Abstraction Based Approach.
2.
Steven
Woods, Alex Quilici and Qiang Yang. Constraint-based Design Recovery for Software Reengineering:
Theory and Experiments. Kluwer Academic Publishers,
Edited Conference Proceedings
1.
Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li: Advanced Data Mining and Applications,
5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009.
Proceedings Springer 2009
2.
Z.-H.
Zhou, H. Li,
and Q. Yang, eds. Advances in
Knowledge Discovery and Data Mining (Lecture Notes in Artificial Intelligence
4426)
- Proceedings of the 11th Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD'07),
3.
Jinyan
Li, Qiang Yang, Ah-Hwee Tan: Data Mining for Biomedical Applications, Proceedings of the PAKDD 2006 Workshop, BioDM 2006, Singapore, April
9, 2006, Proceedings Springer 2006
4.
Qiang
Yang, Geoffrey I. Webb: PRICAI 2006: Trends in Artificial
Intelligence,
9th Pacific Rim International Conference
on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings Springer 2006
Guest Editor’s Introductions to Journal Special Issues
1.
Chengqi
Zhang, Qiang Yang, Bing Liu: Guest Editors' Introduction: Special Section on
Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005) (PDF)
2.
Charles
X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to
the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE/ACM Trans. Comput. Biology
Bioinform. 2(2):
81-82 (2005) (PDF)
3.
Charles
X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to
the Special Issue: Machine Learning for Bioinformatics - Part 2. IEEE/ACM Trans. Comput. Biology
Bioinform. 2(3):
177-178 (2005) (PDF)
4.
Jinyan
Li, Limsoon Wong and Qiang Yang. Data Mining in Bioinformatics: Guest
editor’s Introduction to the Special Issue, IEEE Intelligent System. Nov/Dec 2005, 20(6),
pages 16 -- 18. IEEE Computer Society. (PDF)
5.
Qiang
Yang, Craig A. Knoblock, Xindong Wu: Guest Editors' Introduction: Mining
Actionable Knowledge on the Web. IEEE Intelligent Systems 19(6): 30-31 (2004) (PDF)
6.
Shichao
Zhang, Chengqi Zhang and Qiang Yang. Information Enhancement for
Data Mining. IEEE Intelligent Systems 19(2), April
2004. IEEE Intelligent Systems: Special Issue on Information
Enhancement for Data Mining. (PDF)
7.
Shichao
Zhang, Chengqi Zhang and Qiang Yang, Data Preparation for Data Mining, Applied Artificial Intelligence Journal, Volume 17, Numbers 5-6 /
May-July 2003, Pages: 375 - 381 Publisher: Taylor & Francis. (PDF)
8.
David
B. Leake, Barry Smyth, David C. Wilson, and Qiang Yang: Introduction to
the Special Issue on Maintaining Case-Based Reasoning Systems. Computational Intelligence 17(2): 193-195 (2001) (PDF)
Magazine Articles
1.
Dou
Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin and
Qiang Yang. Q2C@UST: Our Winning Solution to Query
Classification.
ACM SIGKDD Exploration, December
2005, Volume 7, Issue 2. Pages 100-110.
2.
Yan Fu, Ruixiang Sun, Qiang Yang, Simin He, Chunli Wang, Haipeng
Wang, Shiguang Shan, Junfa Liu and Wen Gao. A Block-Based Support Vector Machine
Approach to the Protein Homology Prediction Task in KDD Cup 2004. ACM SIGKDD Explorations, Volume 6,
Issue 2. December 2004.
Pages 120-124.
1. Sinno Jialin Pan, Qiang Yang,
"A Survey on Transfer Learning," IEEE Transactions on Knowledge and Data
Engineering (IEEE TKDE), 12 Oct. 2009. IEEE computer Society
Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.191> (PDF)
2. Evan Wei Xiang, Bin Cao, Derek
Hao Hu, Qiang Yang, "Bridging Domains Using World Wide Knowledge," IEEE Transactions on
Knowledge and Data Engineering (IEEE TKDE), Feb 4, 2010. IEEE computer Society Digital Library.
IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.31>.
3. Gui-Rong Xue, Jie Han, Yong Yu
and Qiang Yang: User language model for collaborative personalized search.
ACM Trans.
Inf. Syst. 27(2):
(2009)
4. Qian Xu, Derek Hao Hu, Hong
Xue, Weichuan Yu and Qiang Yang. Semi-supervised protein subcellular
localization. In BMC
Bioinformatics Journal. 2009, 10:S47
doi:10.1186/1471-2105-10-S1-S47. (PDF)
5. C. Yang, X. Wan, Q. Yang, H.
Xue, N. Tang, and W. Yu. Identifying Main Effects and Epistatic Interactions
from Large-scale SNP Data via Adaptive Group Lasso. BMC Bioinformatics 2010, 11(Suppl 1):S18. doi:10.1186/1471-2105-11-S1-S18
6. X. Wan, C. Yang, Q. Yang, H.
Xue, N. Tang, and W. Yu. SNPRuler:
Predictive Rule Inference for Epistatic Interaction Detection in Genome-wide
Association Studies. Bioinformatics,
26:30-37, 2010.
7. Xiang Wan, Can Yang, Qiang
Yang, Hong Xue, Nelson LS Tang and Weichuan Yu. MegaSNPHunter: a learning
approach to detect disease predisposition SNPs and high level interactions in
genome wide association study. In BMC
Bioinformatics Journal. 2009, 10:13 doi:10.1186/1471-2105-10-13 (PDF)
8. Can Yang, Zengyou He, Qiang
Yang, Hong Xue and Weichuan Yu. SNPHarvester: a filtering-based approach for
detecting epistatic interactions in genome-wide association studies. Bioinformatics Journal. 2009
(doi:10.1093/bioinformatics/btn652) (PDF)
9. Lionel M. Ni, Yanmin Zhu, Jian
Ma, Qiong Luo, Yunhao Liu, S. C. Cheung, Qiang Yang, Minglu Li, Min-You Wu:
Semantic Sensor Net: an extensible framework. IJAHUC 4(3/4): 157-167 (2009)
10. Hui Xue, Songcan Chen and
Qiang Yang: Discriminatively regularized least-squares classification. Pattern
Recognition 42(1): 93-104 (2009) (PDF)
11. Ben Niu, Qiang Yang, Simon Chi
Keung Shiu and Sankar K. Pal: Two-dimensional Laplacianfaces method for face
recognition. Pattern
Recognition 41(10): 3237-3243 (2008) (PDF)
12. Qiang Yang, Sinno Jialin Pan,
Vincent Wenchen Zheng, "Estimating Location Using Wi-Fi," IEEE
Intelligent Systems, vol. 23, no. 1, pp. 8-13,
Jan/Feb, 2008 (PDF)
13. Jie
Yin, Qiang Yang, Dou Shen and Ze-Nian Li, Activity Recognition via
User-Trace Segmentation. ACM Transactions on Sensor Networks (TOSN),
Volume
4, No. 4 (August 2008). Article 19, 34
pages. (PDF)
14. Jie Yin, Qiang Yang, Lionel M.
Ni, Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location
Estimation, IEEE
Transactions on Mobile Computing, vol. 7, no. 7, pp. 869-883, Jul.,
2008 (PDF)
15. Rong Pan, Qiang Yang and Sinno
Jialin Pan. Mining Competent Case Bases for Case-based Reasoning. Artificial Intelligence (AIJ),171(16-17): 1039-1068 (2007) (PDF)
16. Chunyan Miao, Qiang Yang,
Haijing Fang, Angela Goh: A cognitive approach for agent-based personalized
recommendation. Knowl.-Based Syst. 20(4): 397-405 (2007) (PDF)
17. Qiang Yang. Learning
Actions from Data Mining Models. In Domain-driven Actionable
Knowledge Discovery, Longbing Cao (Eds.). IEEE Intelligent Systems.
July-Aug. 2007, Volume: 22, Issue: 4 Pages: 78-88 (Link, PDF)
18. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) (PDF)
19. Jie Yin, Qiang Yang, Jeffrey
Junfeng Pan, Sensor-Based Abnormal Human-Activity Detection, IEEE
Transactions on Knowledge and Data Engineering, vol. 20, no. 8, pp.
1082-1090, August, 2008. (Link, PDF)
20. Jinyan Li and Qiang Yang. Strong
Compound-Risk Factors: Efficient Discovery through Emerging Patterns and
Contrast Sets. IEEE Transactions on
Information Technology in Biomedicine. Vol. 11, No. 5, Sept
2007. pp. 544-552. (PDF)
21. Jeffrey Junfeng
Pan, Qiang Yang, Yiming Yang, Lei Li, Francis Tianyi Li and George Wenmin
Li. Cost-Sensitive-Data
Preprocessing for Mining Customer Relationship Management Databases, IEEE Intelligent Systems.
(Vol. 22, No. 1). Pages 46-51.
January/February 2007 (Link, PDF)
22. Qiang Yang, Kangheng Wu and Yunfei Jiang. Learning Action Models from Plan Traces using Weighted MAX-SAT. Artificial Intelligence Journal (AIJ). Volume 171, Issues 2-3, February 2007, Pages 107-143 (PDF)
23. Xiaoyong Chai and Qiang Yang. Reducing
the Calibration Effort for Probabilistic Indoor Location Estimation. IEEE
Transactions on
24. Dou Shen, Qiang Yang,
Zheng Chen. Noise Reduction through Summarization for Web-page
Classification. Information Processing and Management: an international
journal (IPM).43(6): 1735-1747 (2007)[PDF]
25. Qiang Yang, Xindong Wu, et al.
10 Challenging Problems in Data Mining Research. International Journal
of Information Technology and Decision Making. 5(4): 597-604 (2006)
26. Qiang Yang, Jie
Yin, Charles X. Ling and Rong Pan. Extracting Actionable Knowledge from
Decision Trees. IEEE Transactions on Knowledge and Data Engineering (IEEE
TKDE), 19(1) January 2007. Pages 43-56. (PDF)
27. Dou Shen, Rong Pan, Jian-Tao
Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang. Query Enrichment
for Web-query Classification. ACM Transactions on Information Systems
(ACM TOIS). Vol. 24, No. 3, July 2006 Pages 320-352. [PDF]
28. Jun Yan, Benyu Zhang,
Shuicheng Yan, Ning Liu, Qiang Yang, Qiansheng, Cheng, Hua Li,
Zheng Chen and Wei-Ying Ma. A Scalable Supervised Algorithm for
Dimensionality Reduction on Streaming Data, 2006, Information Sciences, 14, 2042-2065, 176 [PDF]
29. Jeffrey J. Pan, James T. Kwok,
Qiang Yang and Yiqiang Chen. Multidimensional vector regression for accurate
and low-cost location estimation in pervasive computing. In IEEE
Transactions on Knowledge and Data Engineering (IEEE TKDE) (Vol. 18, No. 9) pp. 1181-1193 (http://doi.ieeecomputersociety.org/10.1109/TKDE.2006.145) Sept.
2006. (PDF).
30. Shuicheng Yan, D. Xu, L.
Zhang, Q. Yang, X. Tang and H. Zhang. Multilinear Discriminant Analysis for
Face Recognition, IEEE Transactions on Image Processing (IEEE TIP),
Vol. 16, No. 1 pp. 212-220. Jan. 2007.(PDF)
31. Shuicheng Yan, D. Xu, B.
Zhang, H. Zhang, Q. Yang and S. Lin. Graph Embedding and Extensions: A
General Framework for Dimensionality Reduction, IEEE Transactions on
Pattern Analysis and Machine Intelligence (IEEE PAMI). 29(1): 40-51 (2007) (PDF)
32.
Yonghong
Tian, Qiang Yang, Tiejun Huang, Charles X. Ling and Wen Gao. Learning
Contextual Dependency Network Models for Link-based Classification. IEEE
Transactions on Knowledge and Data Engineering (IEEE TKDE). November
2006 (Vol. 18, No. 11) pp.
1482-1496 (http://doi.ieeecomputersociety.org/10.1109/TKDE.2006.178)
(PDF)
33. Charles X. Ling, Victor S.
Sheng, and Qiang Yang, Test Strategies for Cost-Sensitive Decision Trees,
IEEE Transactions on Knowledge and Data
Engineering
(IEEE TKDE),
18(8):1055- 1067. August 2006. (Digital Object Identifier
10.1109/TKDE.2006.131) (PDF)
34. Yiqiang Chen, Qiang Yang, Jie
Yin and Xiaoyong Chai. Power-efficient access-point selection for
indoor location estimation. IEEE Transactions on Knowledge and
Data Engineering (IEEE TKDE). 18(7):877:888. July 2006.
Digital Object Identifier 10.1109/TKDE.2006.112. (PDF)
35. David W. Aha, David McSherry
and Qiang Yang. Advances in conversational case-based reasoning.
The
Knowledge Engineering Review, Volume 20, Issue 03, pp 247-254 doi:
10.1017/S0269888906000531, Published online by Cambridge University Press. 08
May, 2006. (PDF)
36. Qiang Yang, Charles X. Ling,
Xiaoyong Chai, Rong Pan: Test-Cost Sensitive Classification on Data with
Missing Values. IEEE Trans. Knowl. Data
37. Jun Yan, Ning Liu, Qiang Yang,
Benyu Zhang, Qiansheng Cheng, and Zheng Chen: Mining Adaptive Ratio Rules
from Distributed Data Sources. Data
Min. Knowl. Discov. 12 (DMKD Journal) (2-3):
249-273 (May 2006) (PDF)
38. Charles Ling and Qiang Yang: Discovering
Classification from Data of Multiple Sources. Data
Min. Knowl. Discov. (DMKD Journal) 12(2-3): 181-201 (May 2006) (DOI:
10.1007/s10618-005-0013-7) (PDF)
39. Gui-Rong Xue, Yong Yu, Dou
Shen, Qiang Yang, Hua-Jun Zeng and Zheng Chen: Reinforcing Web-object
Categorization Through Interrelationships. Data
Min. Knowl. Discov. (DMKD
Journal) 12(2-3):
229-248 (May 2006) (DOI: 10.1007/s10618-005-0015-5) (PDF)
40. Jun Yan, Benyu Zhang, Ning
Liu, Shuicheng Yan, Qiansheng Cheng, Weiguo Fan, Qiang Yang, Wensi Xi
and Zheng Chen. Effective and Efficient Dimensionality Reduction for
Large-scale and Streaming Data Preprocessing IEEE
Transactions on Data and Knowledge Engineering, (IEEE TKDE), (Vol. 18, No. 3) pp. 320-333. (Digital
Object Identifier 10.1109/TKDE.2006.45) March 2006 (PDF)
41. Ke Wang, Senqiang Zhou, Qiang
Yang and J.M.S. Yeung. Mining customer value: from association rules to
direct marketing, International Journal of Data Mining and
Knowledge Discovery (DMKD Journal), Vol. 11, No. 1, July 2005, 57-80
(PDF)
42. Dequan Li, Yan Fu, Ruixiang
Sun, Charles X. Ling , Yonggang Wei , Hu Zhou, Rong Zeng , Qiang Yang , Simin
He and Wen Gao. pFind: A novel database-searching
software system for automated peptide and protein identification via tandem
mass spectrometry Bioinformatics Journal.2005; 21(13):
3049-3050.
43. Chenyong Hu, Benyu Zhang, Y.
Wang, Shuicheng Yan, Zheng Chen, Qiang Wang and Qiang Yang. Learning
Quantifiable Associations via Principal Spars Non-negative Matrix
Factorization, Intelligent Data Analysis: An International Journal,
Vol. 9 Issue 6, pages: 603-620. 2005. (PDF)
44. Yan Fu, Qiang Yang, Ruixiang
Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao: Exploiting the kernel trick to correlate
fragment ions for peptide identification via tandem mass spectrometry. Bioinformatics
Journal 20(12): 1948-1954 (2004)
45. Qiang Yang, Ian Tianyi Li and
Ke Wang, Building Association Rule Based Sequential Classifiers for Web
Document Prediction, Journal of Data Mining and Knowledge Discovery (DMKD
Journal), Volume 8, Issue 3, May 2004. Pp. 253-273. (PDF)
46. R.M. Shen,
P. Han, F. Yang, Q. Yang. J. Huang. Data Mining and Case-based Reasoning for
Distance Learning.
International Journal of Distance Learning Technologies. Special
Issue on Web-based Learning Systems. Vol. 1, No. 3, pp. 46--58.
July--September 2003.
47. Qiang Yang, Yong Wang and
Zhong Zhang. SANet: An Intelligent Service Agent Network for
Call-Center Scheduling. IEEE Transactions on Systems, Man and
Cybernetics (IEEE SMC Part A). Vol. 33, No. 3, May
2003. pp. 396--406. (PDF)
48. Qiang Yang, Tianyi Li and Ke
Wang. Web-log Cleaning for Constructing Sequential Classifiers.
In International Journal of Applied
Artificial Intelligence, May/June 2003. Vol. 17 No. 5 (2003) Pages
431-441.(PDF)
49. Qiang Yang and Henry Haining
Zhang. Web-Log Mining for Predictive Caching. IEEE
Transactions of Knowledge and Data Engineering (IEEE TKDE).
Vol. 15, No. 4, July/August 2003. Pages 1050-1053. (PDF)
50. Yi-Dong Shen, Jia-Huai You,
Li-Yan Yuan, Samuel S. P. Shen and Qiang Yang. A Dynamic Approach to
Characterizing Termination of General Logic Programs, ACM Transactions
on Computational Logic (ACM TOCL). 4(4), Oct. 2003,
pages 1-14 (PDF)
51. Qiang Yang, Joshua Huang and
Michael Ng. A Data Cube Model for Prediction-Based Web
Prefetching. Journal of Intelligent Information Systems.
Kluwer Academic Publishers. 20(1): 11-30; Jan 2003 (PDF)
52. Zhong Su, Qiang Yang,
Hong-Jiang Zhang, Xiaowei Xu, Yu-Hen Hu, S. Ma. Correlation-based
Web-Document Clustering for Web Interface Design. International
Journal Knowledge and Information Systems. Springer. (KAIS
Journal) 4(2):151-167. 2002 (PDF)
53. Zhong Zhang and Qiang Yang. Feature
Weight Maintenance in Case Bases Using Introspective Learning. Journal
of Intelligent Information Systems, Springer. Vol. 16, Pages 95-116,
2001. (PDF)
54. Qiang Yang and Henry Haining
Zhang. Integrating Web Prefetching and Caching
Using Prediction Models. World Wide Web Journal. (WWW Journal)
Kluwer Academic Publishers. Vol. 4 No. 4, 2001. Pages 299-321.
55. Kirsti Racine and Qiang Yang. Redundancy
Detection in Semi-structured Case Bases. In IEEE
Transactions on Knowledge and Data Engineering (IEEE TKDE). Vol. 13
No. 3 May/June 2001. Pages 513-518. IEEE Computer Society. (PDF)
56. Qiang Yang and Jun Zhu. A
Case-addition Policy for Case-based Reasoning. Computational
Intelligence Journal, Special Issue on Case-based Maintenance. Blackwell
Publishers,
57. Qiang Yang and Jing Wu. Enhancing
the Effectiveness of Interactive Case-Based Reasoning with Clustering and
Decision Forests. In Applied Intelligence Journal. 14(1), pp. 49-64, 2001. (PDF)
58. Sheng Li and Qiang Yang. ActiveCBR:
An Agent System that Integrates Case-based Reasoning and Active Databases. International Journal of Knowledge and
Information Systems (KAIS
Journal). (May 2001) 3(2): 225-251. Springer-Verlag (PDF)
59. Steven Woods and Qiang Yang. Program
Understanding as Constraint Satisfaction: Representation and Reasoning
Techniques. Automated Software Engineering Journal, (ASE
Journal) Vol. 5, No. 2, Apr. 1998. Pages 147-181. (PDF)
60. Alex Quilici, Qiang Yang and
Steven Woods. Applying Plan Recognition Algorithms to Program Understanding.
In Automated Software Engineering Journal, Kluwer Aca demic Publishers,
(ASE Journal) 5(2): 147-181; Apr 1998. (PDF)
61. Eugene Fink and Qiang Yang. Automatically
Selecting and Using Primary Effects in Planning: Theory and Experiments
In Artificial Intelligence Journal (AIJ) 89 (1997)
pages 1-30. (PDF)
62. Qiang Yang, Josh Tenenberg and
Steven Woods. On the Implementation and Evaluation of ABTWEAK In Computational
Intelligence Journal. Vol. 12, Number 2, 1996. Pages 295-318. Blackwell
Publishers. (PDF) [bibtex]
63. Subbarao Kambhampati, Craig
Knoblock and Qiang Yang. Planning as Refinement Search: A Unified Framework
for Evaluating Design Tradeoffs in Partial-Order Planning. Artificial Intelligence Journal (AIJ), Vol. 75, No. 3.
1995. Pages 167-238 [PDF]
64. Fahiem Bacchus and Qiang Yang,
Downward Refinement and the Efficiency of Hierarchical Problem Solving. Artificial
Intelligence Journal (AIJ), Vol. 71, No. 1. Pages
43-100, Nov. 1994. (PDF)
65. Qiang Yang and Cheryl Murray. An
Evaluation of the Temporal Coherence Heuristic for Partial-Order Planning. Computational
Intelligence Journal, Blackwell Publishers, pp. 245-267, 10(3), 1994. (PDF)
66. Qiang Yang. A Theory of
Conflict Resolution in Planning. Artificial Intelligence Journal (AIJ)
Vol. 58, No. 1-3, pp. 361-392. 1992. (PDF)
67. Dave E. Foulser, Ming Li and
Qiang Yang, Theory and Algorithms for Plan Merging. Artificial
Intelligence Journal (AIJ), Vol. 57, No. 2-3, pp.
143-182. 1992. (PDF)
68. Qiang Yang, Dana S. Nau and
James Hendler, Merging Separately Generated Plans with Restricted
Interactions. Computational Intelligence Journal. Vol. 8, No. 4, pp.
648-676. 1992. (PDF)
69. Raghu Karinthi, Dana S. Nau,
and Qiang Yang, Handling Feature Interactions in Process-Planning. Journal
of Applied Artificial Intelligence. Vol. 6, No. 4, October-December
Issue. Pages 389-415. Hemisphere Publishers. 1992. (Link)
70. Qiang Yang, Formalizing
Planning Knowledge for Hierarchical Planning. Computational
Intelligence Journal, 6(2), (1990), pp. 12-24. (PDF)
Conference Articles (acceptance rates)
2010
1.
Sinno
Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang and Zheng Chen. Cross-Domain
Sentiment Classification via Spectral Feature Alignment. In Proceedings of
the 19th International World Wide Web Conference (WWW-10).
2.
Vincent
W. Zheng, Yu Zheng, Xing Xie and Qiang Yang. Collaborative Location and
Activity Recommendations with GPS History Data. In Proceedings of 19th
International World Wide Web Conference
(WWW-10).
3.
Huayan
Wang, Vincent W. Zheng, Junhui Zhao and Qiang Yang. Indoor Localization in
Multi-Floor Environments with Reduced Effort. In Proceedings of the 8th Annual
IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom-10).
2009
4.
Nathan
N. Liu, Zhao Min and Qiang Yang. Probabilistic Latent Preference Analysis
for Collaborative Filtering. In Proceedings
of the 18th ACM Conference on Information and Knowledge Management (CIKM'09),
5.
Bin
Cao, Jian-Tao Sun, Evan Wei Xiang, Derek Hao Hu, Qiang Yang, Zheng Chen. PQC:
Personalized Query Classification. In Proceedings
of the ACM 18th Conference on Information and Knowledge Management (CIKM'09),
Hong Kong, China. November 2-6, 2009. (PDF)
6.
Dou
Shen, Jianmin Wu, Bin Cao, Jian-Tao Sun, Qiang Yang, Ying Li. Exploiting
Term Relationship To Boost Text Classification. In Proceedings of the ACM 18th Conference on Information and Knowledge
Management (CIKM'09), Short Paper. Hong Kong, China. November 2-6,
2009. (PDF)
7.
Derek
Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Context-Aware Online
Commercial Intention Detection. In Proceedings
of the 2009 Asia Conference on Machine Learning (ACML 2009),
Nanjing, China, Nov 2-5, 2009.
8.
Xiaoxiao
Shi, Wei Fan, Qiang Yang, Jiangtao Ren: Relaxed Transfer of Different
Classes via Spectral Partition. ECML/PKDD (2) 2009: 366-381 (PDF)
9.
Vincent
W. Zheng, Derek H. Hu and Qiang Yang. Cross-Domain Activity Recognition.
In Proceedings of the 11th International
Conference on Ubiquitous Computing (Ubicomp-09), Orlando, Florida,
USA, Sept.30-Oct.3, 2009. (PDF)
10. Qiang Yang, Yuqiang Chen,
Gui-Rong Xue, Wenyuan Dai and Yong Yu. Heterogeneous Transfer Learning for
Image Clustering via the Social Web. In Proceedings
of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-IJCNLP'09),
Sinagpore, Aug 2009, pages 1–9. Invited Paper (PDF)
11. Qiang Yang. Activity
Recognition: Linking Low-level Sensors and High-level Intelligence. In Proceedings of the Twenty-First
International Joint Conference on Artificial Intelligence (IJCAI '09),
Pasadena, CA, USA, July 11-17, 2009. Invited Paper. (PDF)
12. Bin Li, Qiang Yang, Xiangyang
Xue. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering
for Sparsity Reduction. In Proceedings
of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI
'09), Pasadena, CA, USA, July 11-17, 2009. (PDF)
13. Sinno Jialin Pan, Ivor W.
Tsang, James T. Kwok and Qiang Yang. Domain Adaptation via Transfer
Component Analysis. In Proceedings of
the Twenty-First International Joint Conference on Artificial Intelligence
(IJCAI '09), Pasadena, CA, USA, July 11-17, 2009. (PDF)
14. Derek Hao Hu, Xian-Xing Zhang,
Jie Yin, Vincent Wenchen Zheng and Qiang Yang. Abnormal Activity Recognition
based on HDP-HMM Models. In Proceedings
of the Twenty-First International Joint Conference on Artificial Intelligence
(IJCAI '09), Pasadena, CA, USA, July 11-17, 2009. (PDF)
15. Jie Yin, Derek Hao Hu and
Qiang Yang. Spatio-temporal Event Detection Using Dynamic Conditional Random
Fields. In Proceedings of the
Twenty-First International Joint Conference on Artificial Intelligence (IJCAI
'09), Pasadena, CA, USA, July 11-17, 2009. (PDF)
16. Hankui Zhuo, Derek Hao Hu,
Chad Hogg, Qiang Yang and Hector Munoz-Avila. Learning HTN Method
Preconditions and Action Models from Partial Observations. In Proceedings of the Twenty-First
International Joint Conference on Artificial Intelligence (IJCAI '09),
Pasadena, CA, USA, July 11-17, 2009. (PDF)
17. Bin Li, Qiang Yang and
Xiangyang Xue. Transfer Learning for Collaborative Filtering via a
Rating-Matrix Generative Model. In Proceedings of the 26th International Conference on Machine Learning
(ICML '09), Montreal, Canada, 2009. (PDF)
18. Wenyuan Dai, Ou Jin, Gui-Rong
Xue, Qiang Yang and Yong Yu. EigenTransfer: Learning Graph Spectra for
Transfer Learning. In Proceedings of
the 26th International Conference on Machine Learning (ICML '09),
Montreal, Canada, 2009. (PDF)
19. Huanhuan Cao, Derek Hao Hu,
Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen and Qiang Yang. Context-aware
Query Classification. In Proceedings
of the 32nd Annual ACM SIGIR Conference (SIGIR '09), Boston MA USA,
July 19-23 2009. (PDF)
2008
1.
Rong
Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz,
Qiang Yang: One-Class Collaborative Filtering. ICDM 2008: 502-511.
2.
Jun
Yan, Ning Liu, Qiang Yang, Weiguo Fan, Zheng Chen: TOFA: Trace Oriented
Feature Analysis in Text Categorization. ICDM 2008: 668-677
3.
Wenyuan
Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated Learning.
In Proceedings of Twenty-Second Annual Conference on Neural Information
Processing Systems (NIPS 2008), December 8, 2008, Vancouver, British
Columbia, Canada. (Link)
4.
Hankui
Zhuo, Lei Li, Qiang Yang and Rui Bian: Learning Action Models with
Quantified Conditional Effects for Software Requirement Specification. ICIC (1) 2008: 874-881
5.
Hui Xue, Songcan Chen, Qiang Yang: Structural Support
Vector Machine. ISNN (1) 2008: 501-511
6.
Bin
Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang and Zheng Chen, Learning
Bidirectional Similarity for Collaborative Filtering. In Proceedings of
the 2008 European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML/PKDD 2008), Antwerp, Belgium.
September 2008. pp. 178-194.
7.
Derek
Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu and Qiang Yang.
Real World Activity Recognition with Multiple Goals. In Proceedings
of the Tenth International Conference on Ubiquitous Computing (Ubicomp
2008), Seoul, South Korea September, 2008. pages 30-39 (PDF)
8.
Xiao
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17. Sinno Jialin Pan, James T. Kwok and Qiang Yang. Transfer Learning
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18. Sinno Jialin Pan, Dou Shen, Qiang Yang and James T. Kwok. Transferring
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19. Vincent W. Zheng, Sinno Jialin Pan, Qiang Yang and Jeffrey J. Pan. Transferring
Multi-device Localization Models using Latent Multi-task Learning. In Proceedings
of the 23rd AAAI Conference on Artificial Intelligence (AAAI 08), Chicago,
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22. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou and Qiang Yang. Constraint
Projections for Ensemble Learning. In Proceedings of the 23rd AAAI
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23. Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang, Digital Wall: A Power-efficient Solution for Location-based Data Sharing. PerCom 2008: 645-650 (Link)
24. Xiao Ling,
Wenyuan Dai, Yun Jiang, Gui-Rong Xue, Qiang Yang and Yong Yu: “Can Chinese
Web Pages be Classified with English Data Source?" In Proceedings
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25. Dou Shen, Toby Walker, Zijian
Zheng, Qiang Yang, Ying Li. Personal Name Classification in Web
Queries. In Proceedings of the First ACM International Conference
on Web Search and Data Mining (ACM WSDM 08), Stanford, California,
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26. Dikan Xing, Gui-Rong Xue,
Qiang Yang and Yong Yu. Deep Classifier: Automatically Categorizing Search
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2007
27. Rong Pan, Junhui
Zhao, Wenchen Zheng, Junfeng Pan, Dou Shen,
Jialin Pan and Qiang Yang. Domain-Constrained
Semi-Supervised Mining of Tracking Models in Sensor Networks In Proceedings of the 13th ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (ACM
KDD'07), San Jose, California, USA, Aug 12-15, 2007. 1023-1027 (PDF)
28. Wenyuan Dai, Gui-Rong Xue,
Qiang Yang and Yong Yu. Co-clustering based Classification for Out-of-domain
Documents. In Proceedings of the Thirteenth ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (ACM KDD'07), San
Jose, California, USA, Aug 12-15, 2007. Pages 210-219 (PDF)
29. Weizhu Chen, Jun Yan, Benyu
Zhang, Zheng Chen, Qiang Yang. Document Transformation for Multi-label
Feature Selection in Text Categorization. In Proceedings of the ICDM 2007. 451-456
30. Wenyuan Dai, Gui-Rong Xue,
Qiang Yang and Yong Yu. Transferring Naive Bayes Classifiers for Text
Classification. In Proceedings
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Vancouver, British Columbia, Canada. July 2007. 540-545 (PDF)
31. Jeffrey Junfeng Pan, Qiang
Yang and Sinno Jialin Pan. Online Co-Localization in Indoor Wireless
Networks. In Proceedings of the
22nd AAAI Conference on Artificial Intelligence (AAAI'07),
Vancouver, British Columbia, Canada. July 2007. 1102-1107 (PDF)
32. Sinno Jialin Pan, James T.
Kwok, Qiang Yang, Jeffrey Junfeng Pan. Adaptive localization in a dynamic
WiFi environment through multi-view learning. In Proceedings of the 22nd AAAI Conference on Artificial Intelligence
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33. Dou Shen, Min Qin, Weizhu
Chen, Qiang Yang, Zheng Chen. Mining Web Query Hierarchies from Clickthrough
Data. In Proceedings of the
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34. Zhi-hua Zhou, D.C. Zhan, and
Qiang Yang. Semi-supervised learning with very few labeled training examples.
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35. Wenyuan Dai, Qiang Yang,
Gui-Rong Xue and Yong Yu. Boosting for Transfer Learning. In Proceedings
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36. Bin Cao, Dou Shen, Jian-Tao
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37. Xiaochuan Ni, Gui-Rong Xue,
Xiao Ling, Yong Yu, Qiang Yang: Exploring in the Weblog Space by Detecting
Informative and Affective Articles, In Proc. of the 16th World Wide Web
Conference (WWW'07). May 8-12, 2007, Banff, Alberta, Canada.
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38. Jeffrey J. Pan and Qiang
Yang, Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian.
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39. Dou Shen, Jian-Tao Sun, Hua
Li, Qiang Yang, Zheng Chen. Document Summarization using Conditional Random
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40. Bin Cao, Dou Shen, Jian-Tao
Sun, Xuanhui Wang, Qiang Yang and Zheng Chen. Latent Factor Detection and
Tracking with Online Nonnegative Matrix Factorization. In Proceedings of
the 20th International Joint Conference on Artificial Intelligence (IJCAI'07),
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41. Dou Shen, Jian-Tao Sun, Qiang
Yang and Zheng Chen. Latent Friend Mining from Blog Data. In Proceedings
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42. Jun Yan, Ning Liu, Benyu
Zhang, Qiang Yang, and Zheng Chen. A Novel Scalable Algorithm for Supervised
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Conference on Data Mining (IEEE ICDM 06), Regular paper. Hong Kong,
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43. Hua Li, Dou Shen, Benyu Zhang,
Zheng Chen, Qiang Yang. Adding Semantics to Email Clustering. In Proceedings
of the IEEE 6th International Conference on Data Mining (IEEE ICDM 06),
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44. Jilin Chen, Benyu
Zhang, Jun Yan, and Qiang Yang. Diverse Topic Phrase Extraction through
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Conference on Data Mining (ICDM 06), Hong Kong, China. December
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45. Dou Shen, Jian-Tao Sun, Qiang
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46. Jeffrey J. Pan, Qiang Yang,
Hong Chang, Dit-Yan Yeung. A Manifold Regularization Approach to Calibration
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06), Regular paper, 2006. Pages988-993.
47. Dou Shen, Jian-Tao Sun, Qiang
Yang and Zheng Chen. Building Bridges for Web Query Classification. In Proceedings
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Sun and Zheng Chen. Thread Detection in Dynamic Text Message Streams .
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Qiang Yang and Zheng Chen. A Comparison of Implicit and Explicit Links for
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50. Jie Yin and Qiang Yang. Integrating
Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering.
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51. Dong Zhuang, Benyu Zhang,
Qiang Yang and Zheng Chen, Efficient Text Classification by Weighted
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52. Shengli Sheng, Charles X. Ling
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53. Yidong Shen and Qiang
Yang. "Deriving a Stationary Dynamic Bayesian Network from a Logic
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54. Xiaoyong Chai and Qiang Yang, Multiple-Goal
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55. Jie Yin, Dou Shen, Qiang Yang
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56. Rong Pan, Qiang Yang, Junfeng
Pan and Lei Li Competence Driven Case-Base Mining, In Proceedings
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2005), Pittsburg, PA USA, July 2005. Pages 228-233. (PDF)
57. Junfeng Pan, James Kwok, Qiang
Yang and Yiqiang Chen. Accurate and Low-cost Location Estimation Using
Kernels. In Proceedings of the
2005 International Joint Conference on Artificial Intelligence (IJCAI
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58. Qiang Yang, Kangheng Wu and
Yunfei Jiang, Learning Action Models from Plan Examples with
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59. Jiantao Sun, Dou Shen, HuaJun
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conference on Research and development in information retrieval (ACM
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Hua-Jun Zeng, Yong Yu and Zheng Chen, Exploiting the Hierarchical Structure
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61. Gui-Rong Xue, Chenxi Lin,
Qiang Yang, WenSi Xi, Hua-Jun Zeng, Yong Yu, Zheng Chen. Scalable
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63. Xiaoyong Chai and Qiang Yang.
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples.
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64. Shuicheng Yan; Dong Xu; Qiang
Yang; Lei Zhang; Xiaoou Tang; Hong-Jiang Zhang; Discriminant Analysis
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65. Jun Yan, QianSheng Cheng,
Qiang Yang and Benyu Zhang: An Incremental Subspace Learning Algorithm to
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66. Chenyong Hu, Yongji Wang,
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67. Yiming Yang, Qiang Yang,
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68. Lionel M. Ni, Yanmin Zhu, Jian
Ma, Minglu Li, Qiong Luo, Yunhao Liu, S. C. Cheung, Qiang Yang: Semantic
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69. Jie Yin, Xiaoyong Chai and
Qiang Yang, High-level Goal Recognition in a Wireless LAN. In Proceedings
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70. Charles X. Ling, Qiang Yang,
Jian-ning Wang and Shichao Zhang. Decision Trees with Minimal Costs.
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71. Ning Liu, Benyu
Zhang, Jun Yan , Qiang Yang, Shuicheng Yan, Zheng Chen, Fengshan Bai and
Wei-Ying Ma. Learning Similarity Measures in Non-Orthogonal Spaces.
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Lin Deng, Qiang Yang and Charles X. Ling. Test-cost Sensitive Naive
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Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen, and Wei-Ying Ma. IRC: An
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Zhi-Yong Shen, Shi-Ming Zhang and Qiang Yang, Cluster Cores-based Clustering
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80. Yan Fu, Qiang
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Zeng, Yiqiang Chen, Simin He and Wen Gao. A Kernel-based Case
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82. Qiming Huang,
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83. Qiang Yang, Jie
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86. Qiang Yang and Hong
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87. Yidong Shen, Qiang Yang, Zhong
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88. Qiang Yang and Hong
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89. Ke Wang, Senqiang Zhou, Jack
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90. Peng Han, Ruimin Shen, Fan
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91. W.
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92. Chunyan Miao, Haijing Fang,
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98. Qiang Yang, Ian Tianyi Li and
Henry Hanning Zhang. Mining High-Quality Cases for Hypertext
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100. Qiang Yang, Henry Hanning Zhang and Ian Tianyi Li. Mining web logs for prediction
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2000
102. Zhong Su, Qiang Yang,
HongJiang Zhang: A prediction system for multimedia pre-fetching in Internet.
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103. Ye Lu, Chunhui Hu, Xingquan
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106. Qiang Yang and Jing Wu: Keep
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108. Sandra C. Hayden, Christina
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ICCBR 99, Seeon Monastery, Germany, July 27-30, 1999. Lecture Notes in Computer Science 1650. Pages 74-88 (PDF)
112. Zhong Zhang, Qiang Yang: Dynamic
Refinement of Feature Weights Using Quantitative Introspective Learning. In
Proceedings of the Sixteenth International Joint Conference on Artificial
Intelligence, IJCAI 99, Stockholm, Sweden, July 31 - August 6,
1999. Pages 228-233 (PDF)
113. Jun Zhu, Qiang Yang: Remembering
to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance.
In Proceedings of the Sixteenth International Joint Conference on Artificial
Intelligence, IJCAI 99, Stockholm, Sweden, July 31 - August 6,
1999. Pages 234-241 (PDF)
1998
114. Qiang Yang, Irène Abi-Zeid,
Luc Lamontagne: An Agent for Intelligent Situation Assessment. In:
Artificial Intelligence: Methodology, Systems, and Applications, In Proceedings of the 8th International
Conference, AIMSA '98, Sozopol, Bulgaria, September 21-13, 1998. Lecture Notes in Computer Science 1480 Springer 1998.
Pages 466-474 (PDF)
115. Zhong Zhang, Qiang Yang: Towards
Lifetime Maintenance of Case Based Indexes for Continual Case Based Reasoning.
In Artificial Intelligence: Methodology,
Systems, and Applications, Proceedings of the 8th International Conference,
AIMSA '98, Sozopol, Bulgaria, September 21-13, 1998. Lecture Notes in Computer Science 1480 Springer 1998.
Pages 489-500 (PDF)
1997
116. Kirsti Racine and Qiang Yang: Maintaining Unstructured
Case Base. In Case-Based Reasoning Research
and Development, Proceedings of the Second International Conference, ICCBR-97,
Providence, Rhode Island, USA, July 25-27, 1997. Lecture Notes in Computer
Science 1266 Springer 1997. Pages: 553-564. (PDF)
117. Qiang Yang, Edward Kim and
Kirsti Racine. CaseAdvisor: Supporting Interactive Problem Solving and Case
Base Maintenance for Help Desk Applications., In IJCAI'97 Workshop on
Practical Use of CBR.
1996
118. Alex Quilici, Qiang Yang and
Steve Woods. Applying Plan Recognition Algorithms to Program Understanding.
In Proceedings of the Knowledge
Based Software Engineering Conference (KBSE '96), Syracuse,
New York, September 1996. Pages 96-103. Winner of the Best Paper Award. (PDF)
119. Steven G. Woods and Qiang
Yang: The Program Understanding Problem: Analysis and a Heuristic Approach.
In Proceedings of the 18th International Conference on Software Engineering,
March 25-29, 1996, ICSE 1996, Berlin, Germany, . IEEE Computer
Society. Pages 6-15 (PDF)
120. Kirsti Racine and Qiang Yang, On
the Consistency Management of Large Case Bases: the Case for Validation, In
Proceedings of the AAAI-96 Workshop on Knowledge Base Validation, American
Association for Artificial Intelligence (AAAI-96), August 1996.
Oregon, USA. (PDF)
1995
121. Eugene Fink, Qiang Yang: Planning
with Primary Effects: Experiments and Analysis. In Proceedings of the
Fourteenth International Joint Conference on Artificial Intelligence,
IJCAI 95, Montréal, Québec, Canada, August 20-25 1995. Pages 1606-1611 (PDF)
122. Craig A. Knoblock, Qiang Yang:
Relating the Performance of Partial-Order Planning Algorithms to Domain
Features. ACM SIGART Bulletin 6(1): pages 8-15 (1995) (PDF)
1994
123. Qiang Yang, Alex Y. M. Chan: Delaying
Variable Binding Commitments in Planning. In Proceedings of the Second
International Conference on Artificial Intelligence Planning Systems, June
13-15, 1994, AIPS 1994, University of Chicago, Chicago, Illinois. AAAI
Press. Pages 182-187 (PDF)
124. Qiang Yang, Shuo Bai, Guiyou
Qiu: A Framework for Automatic Problem Decomposition in Planning. In Proceedings
of the Second International Conference on Artificial Intelligence Planning
Systems, June 13-15, 1994, AIPS 1994, University of Chicago,
Chicago, Illinois. AAAI Press. Pages 347-352 (PDF)
125. Craig Knoblock and Qiang Yang,
Evaluating the tradeoffs in Partial-Order Planning Algorithms, In Proceedings of the Canadian Artificial
Intelligence Conference (Canadian AI '94), May 1994, Banff, Alberta,
Canada. pages 279-286. (Winner of the Best Paper Award) (PDF)
1993
126. Eugene Fink and Qiang Yang: Characterizing
and Automatically Finding Primary Effects in Planning. In Proceedings of
the 13th International Joint Conference on Artificial Intelligence, IJCAI-93.
Chambéry, France, August 28 -September 3, 1993. Morgan Kaufmann, 1993, 1374-1379.
(PDF)
1992
127. Fahiem Bacchus, Qiang Yang: The
Expected Value of Hierarchical Problem-Solving. In Proceedings of the 10th National Conference on Artificial Intelligence,
San Jose, CA, July 12-16, 1992. The AAAI Press / The MIT Press. AAAI-92. Pages
369-374. (PDF)
128. Eugene Fink and Qiang Yang Automatically
Abstracting the Effects of Operators. In Proceedings of the First
International Conference on AI Planning Systems (AIPS-92), June
1992, Maryland, USA. Pages 243-251. (PDF)
129. Eugene Fink and Qiang Yang, Formalizing
Plan Justifications. In Proceedings of the Canadian Artificial
Intelligence Conference (Canadian AI '92), May 1992, Vancouver, BC
Canada. Pages 9-14. (PDF)
1991
130. David E. Foulser, Ming Li, Qiang
Yang: A Quantitative Theory for Plan Merging. In Proceedings of the 9th National Conference on Artificial Intelligence,
July 14-19, 1991. AAAI Press / The MIT Press, 1991. AAAI 1991: 673-678
(PDF)
131. Craig A. Knoblock, Josh D.
Tenenberg, Qiang Yang: Characterizing Abstraction Hierarchies for Planning.
In Proceedings of the 9th National
Conference on Artificial Intelligence, July 14-19, 1991. AAAI Press / The
MIT Press, 1991. AAAI 1991: AAAI 1991: 692-697 (PDF)
132. Fahiem Bacchus, Qiang Yang: The
Downward Refinement Property. In Proceedings
of the 12th International Joint Conference on Artificial Intelligence,
Sydney, Australia, August 24-30, 1991. Morgan Kaufmann, 1991. IJCAI 1991:
286-293 (PDF)
1990
133. Qiang Yang, An Algebraic
Approach to Conflict Resolution in Planning. In Proceedings of the
Eighth National Conference on Artificial Intelligence (AAAI-90),
August 1990, Boston, MA. Pages 40-45.
134. Qiang Yang and Josh Tenenberg,
ABTWEAK: Abstracting a Non-Linear Least Commitment Planner. In Proceedings
of the Eighth National Conference on Artificial Intelligence (AAAI-90),
August, 1990, Boston, MA. pages 204-209. (PDF)
135. Qiang Yang, Preprocessing
Hierarchical Planning Knowledge for Efficient Planning. In Proceedings
of the 9th European Conference on Artificial Intelligence (ECAI-90),
August 1990, Stockholm, Sweden. Pages 732-737.
136. Qiang Yang, Solving the
Generalized Hitting Set Problems. In Proceedings of the 9th European
Conference on Artificial Intelligence (ECAI-90), August 1990,
Stockholm, Sweden. Pages 738-743.
137. Qiang Yang, Solving the
Problem of Hierarchical Inaccuracy in Planning. In Proceedings of the Eighth Biennial
Conference of the Canadian Society for Computational Studies of Intelligence
(Canadian AI '90), May 1990, Ottawa, Ontario, Canada. Pages 140-145.
138. Q. Yang,
D. S. Nau, and J. Hendler. Optimization of multiple-goal plans with
limited interaction.
In Proc. DARPA Workshop on Innovative Approaches to Planning, Scheduling and Control, 1990.
USA.
1989
139. Qiang Yang and Dana S. Nau, Preprocessing
Search Spaces for Branch and bound Search, In Proceedings of the Eleventh
International Joint Conference on Artificial Intelligence (IJCAI-89),
August 1989, Detroit, Michigan. Pages 349-353. (PDF)
140. Q. Yang and D. S.
Nau. Optimization of multiple goal plans in automated manufacturing. In Proceedings of the First
SIGMAN Workshop on Manufacturing Planning, Aug. 1989.
141. M. Ssemakula, Dana S. Nau, R.
Rangachar, and Qiang Yang. An AI approach to process sequencing. Advances in Manufacturing Engineering
1:271-276, 1989.
142. Dana S. Nau,
Qiang Yang, and James Hendler. Planning for multiple goals with limited interactions. Fifth IEEE Conference on
Artificial Intelligence Applications, Miami, Florida, USA 1989.
143. Qiang Yang,
Dana S. Nau, and James Hendler. An approach to multiple-goal planning
with limited interactions.
AAAI Spring Symposium,
Stanford University, CA USA 1989.
1988
144. M. E. Ssemakula,
Dana S. Nau, R. M. Rangachar, and Qiang Yang. Optimal process
sequencing in CAPP systems. Society of Manufacturing Engineers,
MS88-728, 1988. (PDF)
145. Dana S. Nau,
Raghu Karinthi, G. Vanecek, Jr., and Qiang Yang. Integrating
AI and solid modeling for design and process planning. Second IFIP
Working Group 5.2 Workshop on Intelligent CAD, University of Cambridge,
Sept. 1988.
146. Dana S. Nau,
Nick Ide, Raghu Karinthi, George Vanecek, Jr., and
Qang Yang. Solid modeling and geometric reasoning for design and
process planning. Third International Conf. CAD/CAM, Robotics, and
Factories of the Future, Aug. 1988.