Homepage of Tie-Yan Liu

 Tie-Yan Liu

Email:
Mailing address: 5/F, Sigma Center, No.49, Zhichun Road, Haidian District, Beijing, 100190, P. R. China.

 

Dr. Tie-Yan Liu is a lead researcher at Microsoft Research Asia.  His current research interests are theorem, algorithm and system for learning to rank in vector space and on graph data.   So far, Dr. Liu has about 70 quality papers published in referred international conferences and journals, including SIGIR(9), WWW(3), ICML(3), KDD(2), etc.   He has about 40 filed US / international patents or pending applications.   He is the winner of the Most Cited Paper Award for the Journal of Visual Communication and Image Representation.   He has been the program committee members for more than 30 international conferences, such as WWW, SIGIR, ICML, ACL, and ICIP.   He has been a Senior Program Committee member of SIGIR 2008, and the co-chair of the SIGIR workshop on learning to rank for information retrieval in 2007 and 2008 (LR4IR 2007 and 2008).   He has been on the Editorial Board of the journal of Information Retrieval.   He has been a tutorial speaker at WWW 2008 and SIGIR 2008.   Prior to joining Microsoft, Dr. Liu obtained his Ph.D. in electronic engineering from Tsinghua University in 2003, where his research efforts were devoted to video content analysis.

News

  • Upcoming workshop: SIGIR 2008 Workshop on Learning to Rank for Information Retrieval (LR4IR 2008).
  • Upcoming tutorial: Tutorial on Learning to rank for information retrieval at SIGIR 2008.
  • NPR Interview: Microsoft Worker in Beijing - Focus is Collaboration.
  • Most Cited Paper Award: The paper titled "A new cut detection algorithm with constant false-alarm ratio for video segmentation" wins the Most Cited Paper Award for the Journal of Visual Communication and Image Representation.

Representative Publications  (* - Interns that I mentored when they were doing corresponding research works)

Learning to Rank

  1. Xiubo Geng*, Tie-Yan Liu, et al. Query-dependent Ranking using K-Nearest Neighbor, SIGIR 2008.
  2. Jun Xu, Tie-Yan Liu, et al. Directly Optimizing IR Evaluation Measures in Learning to Rank, SIGIR 2008.
  3. Xiubo Geng*, Tie-Yan Liu, et al. Feature Selection for Ranking, SIGIR 2007.
  4. Mingfeng Tsai*, Tie-Yan Liu, et al. FRank: A Ranking Method with Fidelity Loss, SIGIR 2007.
  5. Tao Qin*, Tie-Yan Liu, et al. Ranking with Multiple Hyperplanes, SIGIR 2007.
  6. Tie-Yan Liu, Tao Qin*, et al. LETOR: Benchmark dataset for research on learning to rank for information retrieval, LR4IR 2007, in conjunction with SIGIR 2007.
  7. Yunbo Cao, Jun Xu, Tie-Yan Liu, et al. Adapting Ranking SVM to Document Retrieval, SIGIR 2006.
  8. Fen Xia*, Tie-Yan Liu, et al. Listwise Approach to Learning to Rank: Theorem and Algorithm, ICML 2008.
  9. Yanyan* Lan, Tie-Yan Liu, et al. Query-level Stability and Generalization in Learning to Rank, ICML 2008.
  10. Zhe Cao*, Tao Qin*, Tie-Yan Liu, et al. Learning to Rank: From Pairwise Approach to Listwise Approach. ICML 2007.
  11. Tao Qin*, Tie-Yan Liu, et al. Learning to Rank Relational Objects and Its Application to Web Search, WWW 2008.
  12. Yuting Liu*, Tie-Yan Liu, et al. Supervised Rank Aggregation, WWW 2007.
  13. Tao Qin*, Tie-Yan Liu, et al. Query-level Loss Function for Information Retrieval. Information Processing and Management, 2007.

Web Search

  1. Yuting Liu*, Bin Gao, Tie-Yan Liu, et al. BrowseRank: Letting Web Users Vote for Page Importance, SIGIR 2008.
  2. Guang Feng*, Tie-Yan Liu, et al. AggregateRank: Bringing Order to Websites, SIGIR 2006.
  3. Tao Qin*, Tie-Yan Liu, et al. A Study on Relevance Propagation for Web Search, SIGIR 2005.
  4. Qiankun Zhao*, Chuhong Hoi, Tie-Yan Liu, et al. Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data, WWW 2006.
  5. Qiankun Zhao*, Tie-Yan Liu, et al. Event Detection from Evolution of Click-through Data, KDD 2006.
  6. Bin Gao*, Tie-Yan Liu, et al. Consistent Bipartite Graph Co-Partitioning for Star-Structured High-Order Heterogeneous Data Co-Clustering, KDD 2005.
  7. Ying Bao*, Guang Feng*, Tie-Yan Liu, et al. Ranking Websites: A Probabilistic View, Internet Mathematics, 2007.
  8. Tao Qin*, Tie-Yan Liu, et al. Topic Distillation Via Subsite Retrieval, Information Processing and Management, 2006.
  9. Bin Gao*, Tie-Yan Liu, et al. Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Co-partitioning, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2005.
  10. Tie-Yan Liu, Yiming Yang, et al. Support Vector Machines Classification with Very Large Scale Taxonomy, SIGKDD Explorations, 2005.

Multimedia

  1. Tao Qin*, Xu-Dong Zhang, Tie-Yan Liu, et al. An Active Feedback Framework for Image Retrieval, Pattern Recognition Letters, 2007.
  2. Bin Gao*, Tie-Yan Liu, et al. Web Image Clustering by Consistent Utilization of Visual Features and Surrounding Texts, ACM Multimedia 2005.
  3. Tie-Yan Liu, Kwoktung Lo, et al. A New Cut Detection Algorithm with Constant False-Alarm Ratio for Video Segmentation, Journal of Visual Communications and Image Representation, 2004. [Most Cited Paper Award]
  4. Tie-Yan Liu, Xu-Dong Zhang, et al. Shot Reconstruction Degree: a Novel Criterion for Key Frame Selection, Pattern Recognition Letters, 2004.
  5. Tie-Yan Liu, Kwoktung Lo, et al. Frame Interpolation Scheme Using Inertia Motion Prediction. Signal Processing: Image Communication, 2003.
  6. Tie-Yan Liu, Kwoktung Lo, et al. Inertia-based Cut Detection and Its Integration with Video Coder. IEE Proceedings on Vision, Image and Signal Processing, 2003.

Recent Professional Activities

 

[ . . . Last update: May 2008  . . . ]