(Conferences, Journals, By Area, DBLP, ArnetMiner)
Books
1.
Qiang
Yang, Intelligent Planning --- A
Decomposition and Abstraction Based Approach. Springer-Verlag,
Berlin Germany. 1997. (See a book
review by Fausto Giunchiglia and Luca
Spalazzi in the Artificial Intelligence
Journal)
2.
Steven
Woods, Alex Quilici and Qiang Yang. Constraint-based Design Recovery for Software
Reengineering: Theory and Experiments. Kluwer Academic
Publishers, Boston USA. 1997.
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), Berlin:
Springer, 2007. ISBN: 978-3-540-71700-3
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.
Journal Articles
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.
Gui-Rong
Xue, Jie Han, Yong Yu and Qiang Yang: User language model for collaborative
personalized search. ACM Trans. Inf. Syst. 27(2): (2009)
3.
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)
4.
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)
5.
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)
6.
Hui
Xue, Songcan Chen and Qiang Yang: Discriminatively regularized least-squares
classification. Pattern
Recognition 42(1): 93-104 (2009) (PDF)
7.
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)
8.
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)
9.
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)
10.
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)
11.
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)
12.
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)
13. 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)
14.
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)
15.
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)
16.
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)
17. 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)
18.
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)
19.
Xiaoyong
Chai and Qiang Yang. Reducing the Calibration Effort for Probabilistic
Indoor Location Estimation. IEEE Transactions on Mobile Computing (IEEE
TMC). June 2007 (Vol. 6, No. 6) pages 649-662.
(PDF)
20.
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]
21.
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)
22.
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)
23.
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]
24.
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]
25.
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).
26.
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)
27.
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)
28.
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)
29.
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)
30.
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)
31.
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)
32.
Qiang
Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan: Test-Cost Sensitive
Classification on Data with Missing Values. IEEE Trans. Knowl. Data Eng.
(IEEE TKDE) 18(5): 626- 638. May
2006. (PDF)
33.
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)
34.
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)
35.
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)
36.
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)
37.
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)
38.
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.
39.
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)
40.
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)
41.
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)
42.
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.
43.
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)
44.
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)
45.
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)
46.
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)
47.
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)
48.
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)
49.
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)
50.
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.
51.
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)
52.
Qiang
Yang and Jun Zhu. A Case-addition Policy for Case-based Reasoning. Computational
Intelligence Journal, Special Issue on Case-based Maintenance. Blackwell
Publishers, Boston MA UK. Vol. 17, No. 2, May 2001. Pages 250--262. (PDF)
53.
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)
54.
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)
55.
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)
56.
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)
57.
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)
58.
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]
59.
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]
60.
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)
61.
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)
62.
Qiang
Yang. A Theory of Conflict Resolution in Planning. Artificial
Intelligence Journal (AIJ) Vol. 58, No. 1-3, pp. 361-392.
1992. (PDF)
63.
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)
64.
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)
65.
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)
66.
Qiang
Yang, Formalizing Planning Knowledge for Hierarchical Planning. Computational
Intelligence Journal, 6(2), (1990), pp. 12-24. (PDF)
Conference Articles (acceptance rates)
2009
1.
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),
Hong Kong, China, November 2-6, 2009. (PDF)
2.
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.
3.
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.
4.
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.
5.
Xiaoxiao
Shi, Wei Fan, Qiang Yang, Jiangtao Ren: Relaxed Transfer of Different
Classes via Spectral Partition. ECML/PKDD (2) 2009: 366-381 (PDF)
6.
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)
7.
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)
8.
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)
9.
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)
10.
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)
11.
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)
12.
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)
13.
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)
14.
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)
15.
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)
16.
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
Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, and Yong Yu. Cross-Domain
Spectral Learning. In Proceedings of the Fourteenth ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (ACM
KDD 2008), Las Vegas, Nevada, USA, August 24-27, 2008. 488-496 (PDF)
9.
Nathan Liu and
Qiang Yang. EigenRank: Collaborative Filtering via Rank Aggregation. In Proceedings
of the 31st Annual International ACM SIGIR Conference (ACM SIGIR 08),
Singapore, 20-24 July 2008. pp. 83-90 2008.
10. Guirong Xue, Wenyuan Dai, Qiang Yang and Yong Yu. Topic-bridged
PLSA for Cross-Domain Text Classification. In Proceedings of the 31st
Annual International ACM SIGIR Conference (ACM SIGIR 08), Singapore, 20-24
July 2008. 627-634
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11. Guirong Xue, Dikan Xing, Qiang Yang and Yong Yu. Deep
Classification in Large-scale Text Hierarchies. In Proceedings of the 31st Annual International ACM SIGIR
Conference, (ACM SIGIR 08), Singapore, 20-24 July 2008.619-626
(PDF)
12. Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang and
Zheng Chen. Enhancing Text Clustering by Leveraging Wikipedia Semantics.
In Proceedings of the 31st Annual International ACM SIGIR Conference (ACM
SIGIR 08), Singapore, 20-24 July 2008. 179-186 (PDF)
13. Hua-yan Wang, Qiang Yang and Hongbin Zha. Adaptive p-Posterior
Mixture-Model Kernels for Multiple Instance Learning. In Proceedings of
the 25th International Conference on Machine Learning (ICML 2008),
Helsinki, Finland, July 5-9, 2008. 1136-1143 (PDF)
14. Hua-yan Wang, Qiang Yang, Hongbin Zha and Hong Qin. Dirichlet
Component Analysis: Feature Extraction for Compositional Data. In Proceedings
of the 25th International Conference on Machine Learning (ICML 2008),
Helsinki, Finland. July 5-9, 2008. 1128-1135 (PDF)
15. Wenyuan Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Self-taught
Clustering. In Proceedings of the
25th International Conference on Machine Learning (ICML 2008), Helsinki,
Finland, 5-9 July, 2008. 200-207 (PDF)
16.
Derek Hao Hu, Qiang
Yang. CIGAR: Concurrent and Interleaving Goal and Activity Recognition.
In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI
08), Chicago, Illinois, USA. July 2008. 1363-1368 (PDF)
17. Sinno Jialin Pan, James T. Kwok and Qiang Yang. Transfer Learning
via Dimensionality Reduction. In Proceedings of the 23rd AAAI Conference
on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA. July 2008. 677-682 (PDF)
18. Sinno Jialin Pan, Dou Shen, Qiang Yang and James T. Kwok. Transferring
Localization Models Across Space. In Proceedings of the 23rd AAAI
Conference on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA.
July 2008. 1383-1388
(PDF)
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,
Illinois, USA. July 2008. 1427-1432 (PDF)
20.
Vincent W. Zheng, Evan
W. Xiang, Qiang Yang and Dou Shen. Transferring Localization Models Over
Time. In Proceedings of the 23rd AAAI Conference on Artificial
Intelligence (AAAI 08), Chicago, Illinois, USA. July 2008. 1421-1426 (PDF)
21. Rong Hu, Weizhu Chen, Jian Hu, Yansheng Lu, Zheng Chen and Qiang
Yang. Mining Translations of Web Queries from Web Click-through Data. In
Proceedings of the 23rd AAAI Conference
on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA. July 2008. 1144-1149
(PDF)
22. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou and Qiang Yang. Constraint
Projections for Ensemble Learning. In Proceedings of the 23rd AAAI
Conference on Artificial Intelligence (AAAI 08), Chicago, Illinois, USA.
July 2008. 758-763
(PDF)
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 of the
17th international conference on World Wide Web 2008 (WWW 2008),
Beijing, China. 969-978 (PDF)
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, USA. February 11-12, 2008. 149-158 (PDF)
26.
Dikan
Xing, Gui-Rong Xue, Qiang Yang and Yong Yu. Deep Classifier: Automatically
Categorizing Search Results into Large-scale Hierarchies. In Proceedings
of the First ACM International Conference on Web Search and Data Mining (ACM
WSDM 08), Stanford, California, USA. February 11-12, 2008. 139-148 (PDF)
2007
1.
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)
2.
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)
3.
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
4.
Wenyuan
Dai, Gui-Rong Xue, Qiang Yang and Yong Yu. Transferring Naive Bayes
Classifiers for Text Classification. In Proceedings of the 22nd AAAI Conference on Artificial Intelligence
(AAAI'07), Vancouver, British Columbia, Canada. July 2007. 540-545
(PDF)
5.
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)
6.
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 (AAAI'07), Vancouver, British
Columbia, Canada. July 2007. 1108-1113 (PDF)
7.
Dou
Shen, Min Qin, Weizhu Chen, Qiang Yang, Zheng Chen. Mining Web Query Hierarchies
from Clickthrough Data. In Proceedings
of the 22nd AAAI Conference on Artificial Intelligence (AAAI'07),
Vancouver, British Columbia, Canada. July 2007. 341-346 (PDF)
8.
Zhi-hua
Zhou, D.C. Zhan, and Qiang Yang. Semi-supervised learning with very few
labeled training examples. In Proceedings
of the 22nd AAAI Conference on Artificial Intelligence (AAAI'07),
Vancouver, British Columbia, Canada. July 2007. 675-680 (PDF)
9.
Wenyuan
Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Boosting for Transfer Learning.
In Proceedings of The 24th Annual International Conference on Machine
Learning (ICML'07), Corvallis,
Oregon, USA, June 20-24, 2007. 193 - 200 (PDF)
10.
Bin
Cao, Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Feature Selection in
a Kernel Space. In Proceedings of The 24th Annual International
Conference on Machine Learning (ICML'07), Oregon, USA. June 20-24, 2007. 121 -
128 (PDF)
11.
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. pp. 281 - 290 (PDF)
12.
Jeffrey
J. Pan and Qiang Yang, Co-Localization from Labeled and Unlabeled
Data Using Graph Laplacian. In Proceedings of the 20th International
Joint Conference on Artificial Intelligence (IJCAI'07), Hyderabad,
India. January 6-12, 2007. pp. 2166-2171. (PDF)
13.
Dou
Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen. Document Summarization
using Conditional Random Fields. In Proceedings of the 20th
International Joint Conference on Artificial Intelligence (IJCAI'07), Hyderabad, India. January
6-12, 2007. pp. 2862-2867. (PDF)
14.
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), Hyderabad, India. January 6-12, 2007. pp.
2689--2694 (PDF).
2006
1.
Dou
Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Latent Friend Mining from
Blog Data. In Proceedings of the IEEE 6th International Conference on
Data Mining (IEEE ICDM 06), Hong Kong, China. December 18-22, 2006.
552-561 (PDF)
2.
Jun
Yan, Ning Liu, Benyu Zhang, Qiang Yang, and Zheng Chen. A Novel Scalable
Algorithm for Supervised Subspace Learning. In Proceedings of the
IEEE 6th International Conference on Data Mining (IEEE ICDM 06),
Regular paper. Hong Kong, China. December 18-22, 2006. Regular paper.
721-730 (PDF)
3.
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), Short paper. Hong Kong, China. December
18-22, 2006. (PDF)
4.
Jilin
Chen, Benyu Zhang, Jun Yan, and Qiang Yang. Diverse Topic Phrase
Extraction through Latent Semantic Analysis. In Proceedings of the IEEE
6th International Conference on Data Mining (ICDM 06), Hong Kong,
China. December 18-22, 2006. Pages 834-838. (PDF)
5.
Dou
Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Text Classification Improved
through Multi-gram Models. In Proceedings of the ACM Fifteenth
Conference on Information and Knowledge Management (ACM CIKM 06),
Arlington, USA. November 6-11, 2006. 672-681 [PDF]
6.
Jeffrey
J. Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung. A Manifold Regularization
Approach to Calibration Reduction for Sensor-Network Based Tracking. In the Twenty-First National Conference on
Artificial Intelligence (AAAI 06), Regular paper, 2006.
Pages988-993. [PDF]
7.
Dou
Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Building Bridges for Web
Query Classification. In Proceedings of the 29th ACM International
Conference on Research and Development in Information Retrieval (ACM
SIGIR 06), Seattle, USA, August 6-11, 2006. Pages 131-138. [PDF]
8.
Dou
Shen, Qiang Yang, Jian-Tao Sun and Zheng Chen. Thread Detection in Dynamic
Text Message Streams . In Proceedings of the 29th ACM International
Conference on Research and Development in Information Retrieval (ACM
SIGIR 06). Seattle, USA, August 6-11, 2006. Pages 35-42.
[PDF]
9.
Dou
Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. A Comparison of
Implicit and Explicit Links for Web Page Classification. In Proceedings of
the World Wide Web Conference 2006 (WWW
06).
Pages 643-650 [PDF]
2005
1.
Jie
Yin and Qiang Yang. Integrating Hidden Markov Models and Spectral
Analysis for Sensory Time Series Clustering. In Proceedings of the Fifth IEEE International Conference on Data Mining
(IEEE ICDM 05), New Orleans, Louisiana, USA, November 2005. Pages
506-513. (PDF)
2.
Dong
Zhuang, Benyu Zhang, Qiang Yang and Zheng Chen, Efficient Text
Classification by Weighted Proximal SVM. In Proceedings of the Fifth IEEE International
Conference on Data Mining (IEEE ICDM 05), New Orleans, Louisiana,
USA, November 2005. Pages 538-545. (PDF)
3.
Shengli
Sheng, Charles X. Ling and Qiang Yang. Simple Test Strategies for
Cost-Sensitive Decision Trees. In Proceedings
of the 16th European Conference on Machine Learning (ECML 2005),
Porto, Portugal. October 2005. Pages 365-376 (PDF)
4.
Yidong
Shen and Qiang Yang. "Deriving a Stationary Dynamic Bayesian Network
from a Logic Program with Recursive Loops". In Proceedings of the 15th International Conference on Inductive Logic
Programming (ILP 2005), Springer LNAI 3625. August 2005.
Bonn, Germany. Pages 330-347 (PDF)
5.
Xiaoyong
Chai and Qiang Yang, Multiple-Goal Recognition From Low-level Signals.
In Proceedings of the Twentieth National Conference on Artificial Intelligence
(AAAI 2005), Pittsburg, PA USA, July 2005. Pages
3-8. (PDF)
6.
Jie
Yin, Dou Shen, Qiang Yang and Ze-nian Li Activity Recognition through
Goal-Based Segmentation. In Proceedings of the Twentieth National
Conference on Artificial Intelligence (AAAI 2005),
Pittsburg, PA USA, July 2005. Pages 28-33. (PDF)
7.
Rong
Pan, Qiang Yang, Junfeng Pan and Lei Li Competence Driven
Case-Base Mining, In Proceedings of the Twentieth National Conference on
Artificial Intelligence (AAAI 2005), Pittsburg, PA
USA, July 2005. Pages 228-233. (PDF)
8.
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 2005), Edinburgh, Scotland, UK,
July-Aug 2005. Pages 1366-1370. (PDF)
9.
Qiang
Yang, Kangheng Wu and Yunfei Jiang, Learning Action Models
from Plan Examples with Incomplete Knowledge. In Proceedings of the 2005 International
Conference on Automated Planning and Scheduling (ICAPS
2005), Monterey,
CA USA June 2005. Pages 241-250. (PDF)
10.
Jiantao
Sun, Dou Shen, HuaJun Zeng, Qiang Yang, Yuchang Lu and Zheng Chen. Web Page
Summarization Using Clickthrough Data. In Proceedings of the 28th
annual international conference on Research and development in information
retrieval (ACM SIGIR), Salvador, Brazil, August
2005. Pages 194-201 Bibtex (PDF)
11.
Gui-Rong
Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu and Zheng Chen, Exploiting the
Hierarchical Structure for Web Link Analysis. In Proceedings of the 28th
annual international conference on Research and development in information
retrieval, (ACM SIGIR), Salvador, Brazil, August 2005. Pages:
186 - 193. Bibtex (PDF)
12.
Gui-Rong
Xue, Chenxi Lin, Qiang Yang, WenSi Xi, Hua-Jun Zeng, Yong Yu, Zheng Chen. Scalable
Collaborative Filtering Using Cluster-based Smoothing. In Proceedings
of the 28th annual international conference on Research and development in
information retrieval. (ACM SIGIR), Salvador, Brazil, August 2005. Pages
114-121. Bibtex (PDF)
13.
Jie
Yin, Qiang Yang and Lionel Ni. Adaptive Temporal Radio Maps for Indoor
Location Estimation. In Proceedings of the 3rd Annual IEEE
International Conference on Pervasive Computing and Communications (IEEE
PerCom 2005), Kauai Island, Hawaii, March, 2005.Pages
85-94. Bibtex (PDF)
14.
Xiaoyong
Chai and Qiang Yang. Reducing the Calibration Effort for Location Estimation
Using Unlabeled Samples. In Proceedings
of the 3rd Annual IEEE International Conference on Pervasive Computing and
Communications, (IEEE PerCom 2005) Kauai Island, Hawaii,
March 2005. Pages 95--104. Bibtex (PDF)
15.
Shuicheng
Yan; Dong Xu; Qiang Yang; Lei Zhang; Xiaoou Tang; Hong-Jiang Zhang; Discriminant
Analysis with Tensor Representation In Proceedings of the IEEE
Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005),
2005, Volume 1, San Diego, USA, 20-26 June 2005
Pages:526-532. Bibtex (PDF)
16.
Jun
Yan, QianSheng Cheng, Qiang Yang and Benyu Zhang: An Incremental Subspace
Learning Algorithm to Categorize Large Scale Text Data. In Proceedings
of 7th Asia-Pacific Conference on Web Technologies Research and Development (APWeb 2005), Shanghai China, March
2005. Pages 52-63. LNCS 3399. Bibtex (PDF)
17.
Chenyong
Hu, Yongji Wang, Benyu Zhang, Qiang Yang, Qing Wang, Jinhui Zhou, Ran He and
Yun Yan: Mining Quantitative Associations in Large Database. In Proceedings
of 7th Asia-Pacific Conference on Web Technologies Research and Development (APWeb 2005), Shanghai China, March
2005. Pages 405-416. LNCS 3399. Bibtex (PDF)
18.
Yiming Yang, Qiang Yang, Jialin Pan, Rong Pan, et al. Preprocessing Time
Series Data for Classification with Application to CRM. In Proceedings
of the 2005 Australian Conference on Artificial Intelligence, AI'05,
Sydney, Australia. Dec 2005. Pages 133-142.
19.
Lionel
M. Ni, Yanmin Zhu, Jian Ma, Minglu Li, Qiong Luo, Yunhao Liu, S. C. Cheung,
Qiang Yang: Semantic Sensor Net: An Extensible Framework. ICCNMC 2005:
1144-1153 (PDF)
2004
1.
Jie
Yin, Xiaoyong Chai and Qiang Yang, High-level Goal Recognition in a Wireless
LAN. In Proceedings of the Nineteenth National Conference on
Artificial Intelligence (AAAI-04), San Jose, CA USA, July
2004. Pages 578-584 (PDF)
2.
Charles
X. Ling, Qiang Yang, Jian-ning Wang and Shichao Zhang. Decision Trees
with Minimal Costs. In the Twentieth-First International Conference on
Machine (ICML 2004), Banff, Alberta, Canada, July
2004. Pages 69-77 (PDF)
3.
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. Thirteenth
ACM Conference on Information and Knowledge Management (ACM CIKM 2004),
November 8-13, 2004. Hyatt Arlington Hotel Washington DC, USA. (PDF)
4.
Gang
Wang, Frederick Lochovsky, Qiang Yang Feature Selection with Conditional
Mutual Information MaxiMin in Text Categorization. ACM CIKM'04,
Washington D.C., U.S.A. Nov. 2004
5.
Xiaoyong Chai, Lin Deng, Qiang Yang and Charles X. Ling. Test-cost
Sensitive Naive Bayesian Classification. In Proceedings of the
2004 IEEE International Conference on Data Mining (IEEE ICDM 2004),
Brighton, United Kingdom, November 2004. IEEE Computer Society.
Pages 51-58. (PDF)
6.
Chenyong Hu, Benyu Zhang, Shuicheng Yan, Qiang Yang, Zheng Chen
and Weiying Ma. Mining Ratio Rules Via Principal Sparse Non-Negative
Matrix Factorization. In Proceedings of the 2004 IEEE International
Conference on Data Mining (IEEE ICDM
2004), Brighton, United Kingdom, November 2004. IEEE Computer
Society. Pages 407-410. (PDF)
7.
Gui-Rong Xue, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen,
and Wei-Ying Ma. IRC: An Iterative Reinforcement Categorization Algorithm
for Interrelated Web Objects. In Proceedings of the 2004 IEEE
International Conference on Data Mining (IEEE ICDM 2004),
Brighton, United Kingdom, November 2004. IEEE Computer Society. Pages
273-280. (PDF)
8.
Yi-Dong Shen, Zhi-Yong Shen, Shi-Ming Zhang and Qiang Yang, Cluster
Cores-based Clustering for High Dimensional Data, In Proceedings of the
2004 IEEE International Conference on Data Mining (IEEE ICDM 2004),
Brighton, United Kingdom, November 2004. IEEE Computer Society.
Pages 519-522. (PDF)
9.
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng
Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma and Qiansheng Cheng: IMMC:
incremental maximum margin criterion. In Proceedings of the Tenth ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining,
Seattle, Washington, USA, August 22-25, 2004. ACM 2004, (ACM KDD 2004): 725-730
(PDF)
10.
Qiang Yang, Yiqiang Chen, Jie Yin and Xiaoyong Chai: LEAPS: A
Location Estimation and Action Prediction System in a Wireless LAN Environment.
Network and Parallel Computing, IFIP International Conference, NPC
2004, Wuhan, China, October 18-20, 2004, Proceedings. Lecture Notes in Computer Science 3222
Springer 2004. Pages 584-591
11.
Rong Pan, Qiang Yang and Lei Li Case Retrieval using
Nonlinear Feature-space Transformation. In Advances in Case-Based Reasoning: 7th European Conference (ECCBR 2004), Series: Lecture Notes in Computer Science,
Madrid, Spain, August 30 - September 2, 2004, Pages 544-553. (PDF)
12.
Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li,
Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He and Wen Gao. A
Kernel-based Case Retrieval Algorithm with Application to Bioinformatics.
In Proceedings of the 8th Pacific Rim International Conference
on Artificial Intelligence (PRICAI
2004), Auckland, New Zealand, August 2004. Pages 544-553 (LNAI
3157)
13.
Dou Shen, Zheng Chen, Wei-Ying Ma, Benyu Zhang, Hua-Jun Zeng,
Qiang Yang, Yuchang Lu. Web-page Classification through Summarization.
In Proceedings of the 27th ACM
International Conference of Information Retrieval (SIGIR 2004), Shefield,
UK. July 2004. (PDF)
14.
Qiming Huang, Qiang Yang, Joshua Z. Huang, Michael K. Ng: Mining
of Web-Page Visiting Patterns with Continuous-Time Markov Models. In Proceedings
of the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2004):
549-558 May, 2004. (PDF)
2003
1.
Qiang Yang, Jie Yin, Charles Ling and Tielin Chen, Post-processing
Decision Trees to Extract Actionable Knowledge In Proceedings of the 2003 IEEE
International Conference on Data Mining (IEEE ICDM 2003),
Florida, USA, November 2003. IEEE Computer Society. Pages 685-688.
(PDF)
2.
Raymond Chan, Qiang Yang and Yi-Dong Shen, Mining High
Utility Itemsets. In Proceedings of the 2003 IEEE International
Conference on Data Mining (IEEE ICDM 2003), Florida,
USA, November 2003. IEEE Computer Society. Pages 19-26. (PDF)
3.
Qiang
Yang and Hong Cheng. Mining Plans for Customer-Class Transformation.
In Proceedings of the 2003 IEEE International Conference on Data Mining
(IEEE ICDM 2003), Florida, USA, November 2003. IEEE Computer
Society. Pages 403-410. (PDF)
4.
Qiang
Yang and Hong Cheng. Case Mining from Large Databases. In Proceedings
of the 5th International Conference on Case based Reasoning (ICCBR
2003), Trondheim,
Norway. June 2003. Pages 691-702 (PDF)
5.
Yidong
Shen, Qiang Yang, Zhong Zhang and Hongjun Lu. Mining the Customer's
Up-to-Moment Preferences for E-commerce Applications. In Pacific
Asia Knowledge Discovery and Data Mining Conference (PAKDD
2003), South Korea, 2003. Pages 166 - 177. (PDF)
6.
Qiang
Yang and Hong Cheng. Planning for Marketing Campaigns. In Proceedings
of the 2003 International Conference on Automated Planning and Scheduling (ICAPS
03), Trento, Italy, June 2003. Pages 174-184. (PDF)
7.
Ke
Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang, Mining Customer Value:
From Association Rules to Direct Marketing, In Proceedings of the IEEE International Conference on Data
Engineering (IEEE ICDE 03), March 2003, Bangalore, India. Pages 738-740. (PDF)
2002
1.
Peng
Han, Ruimin Shen, Fan Yang, Qiang Yang: The Application of Case Based Reasoning
on a Q&A System. Australian Joint
Conference on Artificial Intelligence 2002. AI'02: 704-713 (PDF)
2.
W.
Lou, G. Liu, H. Lu, and Q. Yang. Cut-and-Pick Transactions for Proxy Log Mining.
In Proceedings of the 2002 Conference on
Extending Database Technology (EDBT 02). March 24-28 2002,
Prague. Pp. 88-105 (PDF)
3.
Chunyan
Miao, Haijing Fang, Xuehong Tao, Qiang Yang, and Robert K. L. Gay: An Agent
Approach for Personalized Recommendation. In Proceedings of the 1st
International Conference on Fuzzy Systems and Knowledge Discovery:
Computational Intelligence for the E-Age, November 18-22, 2002, Orchid
Country Club, Singapore, FSKD 2002: 231-235.
4.
Yi-dong
Shen, Zhong Zhang and Qiang Yang. Objective-Oriented Utility-Based Association
Mining. In Proceedings of the IEEE International Conference on Data
Mining Conference (IEEE ICDM 02), Japan, December
2002. IEEE Press. Pages 426-433 (PDF)
5.
Qiang
Yang and Hong Cheng. Case Mining for Action Recommendations. In Proceedings
of the IEEE International Conference on Data Mining Conference (IEEE
ICDM 02), Japan, December 2002. IEEE Press. Pages 522-529. (PDF)
6.
Charles
X. Ling, Tielin Chen, Qiang Yang, Jie Cheng: Mining Optimal Actions for
Profitable CRM. In Proceedings of the IEEE International Conference on
Data Mining Conference (IEEE ICDM 02), Japan, December 2002:
767-770 (PDF)
7.
Ruimin
Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang: An Open Framework
for Smart and Personalized Distance Learning. In Proceedings of the
International Conference on Web Based Learning (ICWL 2002),
Aug 2002. Pages 19-30 (PDF)
8.
Chunyan
Miao, Qiang Yang, Haijing Fang, Angela Goh Pages 362-372. (PDF)
2001
1.
Qiang
Yang, Ian Tianyi Li and Henry Hanning Zhang. Mining High-Quality Cases
for Hypertext Prediction and Prefetching. In Fourth International
Conference on Case Based Reasoning (ICCBR-2001). Vancouver BC, Canada.
July 2001. Springer-Verlag. Pages 744-756 (PDF)
2.
Qiang
Yang. Making a Case for Case-based Reasoning. Invited Talk at the 2001
Canadian AI Conference. Ottawa, Canada. June 7, 2001. (PDF)
3.
Qiang Yang, Henry Hanning Zhang and Ian Tianyi Li. Mining web logs for
prediction models in WWW caching and prefetching. In Proceedings of the Seventh ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (ACM KDD'01), August
26 - 29, 2001 San Francisco, California, USA. Pages
473-478 (PDF)
4.
Qiang
Yang, Henry Haining Zhang, Ian Tian Yi Li, Ye Lu: Mining Web Logs to Improve
Web Caching and Prefetching. In: Web Intelligence 2001, Lecture
Notes in Computer Science 2198 Springer 2001. Pages 483-492. (PDF)
2000
1.
Zhong
Su, Qiang Yang, HongJiang Zhang: A prediction system for multimedia
pre-fetching in Internet. In: Proceedings of the 8th ACM
International Conference on Multimedia, October 30 - November 3, 2000, Los
Angeles, CA, USA. ACM Multimedia 2000: Pages 3-11 (PDF)
2.
Ye
Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang: A unified
framework for semantics and feature based relevance feedback in image retrieval
systems. In: Proceedings of the 8th ACM International Conference
on Multimedia, October 30 - November 3, 2000, Los Angeles, CA, USA.
ACM Multimedia 2000: Pages 31-37 (PDF)
3.
Qiang
Yang, Hai-Feng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee, HongJiang
Zhang: Towards a Next-Generation Search Engine. In Proceedings of the 6th Pacific Rim International Conference on
Artificial Intelligence, Melbourne, Australia, August 28 - September 1,
2000. Lecture Notes in Computer Science 1886 Springer.
PRICAI 2000: Pages 5-15 (PDF)
4.
Sheng
Li and Qiang Yang: Activating Case-Based Reasoning with Active Databases.
In Proceedings of the 5th European Workshop, EWCBR 2000, Trento,
Italy, September 6-9, 2000. Lecture Notes in Computer Science 1898 Springer. Pages
3-14. (PDF)
5.
Qiang
Yang and Jing Wu: Keep It Simple: A Case-Base Maintenance Policy Based on
Clustering and Information Theory. In 13th
Conference of the Canadian Society for Computational Studies of Intelligence,
Canadian AI 2000, Montréal, Quebec, Canada, May 14-17, 2000,
Proceedings. Lecture Notes in Computer Science 1822 Springer.
Pages 102-114 (PDF)
1999
1.
Jiawei
Han, Qiang Yang, Edward Kim: Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues
in Data Mining and Knowledge Discovery 1999 (PDF)
2.
Sandra
C. Hayden, Christina Carrick, Qiang Yang: A Catalog of Agent Coordination
Patterns. In Proceedings of the Third Annual ACM Conference on
Autonomous Agents, May 1-5, 1999, Seattle, WA, USA. Agents
1999: Pages 412-413 (PDF)
3.
Yong
Wang, Qiang Yang, Zhong Zhang: Real-Time Scheduling for Multi-agent Call
Center Automation. In Recent Advances in AI Planning, Proceedings of the
5th European Conference on Planning, Durham, UK, September 8-10,
1999. Lecture Notes in Computer Science 1809 Springer. ECP
1999: Pages 187-199 (PDF)
4.
Irène
Abi-Zeid, Qiang Yang, Luc Lamontagne: Is CBR Applicable to the Coordination
of Search and Rescue Operations? A Feasibility Study. In Case-Based
Reasoning and Development, Proceedings of the Third International Conference,
ICCBR 99, Seeon Monastery, Germany, July 27-30, 1999. Lecture Notes in Computer Science 1650. Pages
358-371 (PDF)
5.
Christina
Carrick, Qiang Yang: Activating CBR Systems Through Autonomous Information
Gathering. In Case-Based Reasoning and Development, Proceedings of the Third
International Conference, ICCBR 99, Seeon Monastery, Germany, July
27-30, 1999. Lecture Notes in Computer Science 1650. Pages
74-88 (PDF)
6.
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)
7.
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
1.
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)
2.
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
1.
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)
2.
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. Nogoya, Japan, August 1997. (PDF)
1996
1.
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)
2.
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)
3.
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
1.
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)
2.
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
1.
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)
2.
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)
3.
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
1.
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
1.
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)
2.
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)
3.
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
1.
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)
2.
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)
3.
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
1.
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.
2.
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)
3.
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.
4.
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.
5.
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.
6.
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
1.
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)
2.
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.
3.
M.
Ssemakula, Dana S. Nau, R. Rangachar, and Qiang Yang. An AI approach to
process sequencing. Advances in
Manufacturing Engineering 1:271-276, 1989.
4.
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.
5.
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
1.
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)
2.
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.
3.
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.