5F Sigma Center, 49 Zhichun Road, Beijing 100190, P.R.China (OFFice)

Email: TYLIU@microsoft.com (office)

tieyan_liu@msn.com (personal)

Tie-Yan Liu

（刘铁岩）

PERSONAL INFORMATION

Academic Status       Ph.D.

Date of Birth             June 28, 1976

Place of Birth            Heilong Jiang Province, P.R.China

E-mail                        tyliu@microsoft.com

URL                            http://research.microsoft.com/users/tyliu/

EDUCATION

09/2000 ~ 07/2003   Degree: Ph.D., Department of Electronic Engineering, Tsinghua University

                                    Thesis: Theories and Algorithms for Video Segmentation and Abstraction

09/1998 ~ 07/2000   Degree: Master, Department of Electronic Engineering, Tsinghua University

                                    Thesis: Integration of Video Coding and Content-based Video Retrieval

09/1994 ~ 07/1998   Degree: Bachelor of Science, Department of Electronic Engineering, Tsinghua University

                                    Majored in: Communications and Information Systems

RESEARCH  EXPERIENCES

07/2003 ~ present      Microsoft Research Asia

Position: Lead Researcher of Web Search and Mining Group – Lead a team working on Learning to Rank for Information Retrieval. (working with Dr. Hang Li and Dr. Wei-Ying Ma)

Mentoring Interns: Supervised more than 30 interns to accomplish research projects, papers, and dissertations.

More details: see  http://research.microsoft.com/users/tyliu/

 

12/2002 ~ 07/2003   Microsoft Research Asia

Position: Visiting Student at Media Computing Group (working with Dr. Hong-Jiang Zhang)

Research Project: Video Commercials Detection

　

03/2002 ~ 08/2002   The Hong Kong Polytechnic University

Position: Research Assistant (working with Prof. K. T. Lo)

Research Project: Video Shot Boundary Detection

09/2000 ~ 07/2003   Department of Electronic Engineering, Tsinghua University

                                    Position: Ph.D. Candidate and Research Assistant (Advisor: Prof. Xu-Dong Zhang)

                                    Research Topic: Video Content Analysis

　

11/1999 ~ 05/2000   The City University of Hong Kong

Position: Research Assistant (working with Prof. Jian Feng)

Research Project: High-performance Video Coding

SELECTED PROFESSIONAL  ACTIVITIES

Co-Chair of SIGIR Workshop on Learning to Rank for Information Retrieval (LR4IR 2007), 2007.

Co-Chair of SIGIR Workshop on Learning to Rank for Information Retrieval (LR4IR 2008), 2008.

Senior Program Committee Member of SIGIR 2008.

Editorial Board Member of Information Retrieval.

Program Committee Member of ECIR 2009, APWEB 2009, WWW 2008, ICML 2008, ACL 2008, CIKM 2008, WI 2008, APWEB 2008, PAKDD 2008, SIGIR 2007, ICIP 2007, WI 2007, PAKDD 2007, WAIM 2007, SIGIR 2006, WI 2006, ICDM 2006,  AIRS 2006, PRICAI 2006, WAIM 2006, ICIP 2005, ICIP 2004, etc.

Reviewer of Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Foundations and Trends in Information Retrieval, ACM Transactions on Information System, ACM Multimedia System Journal, Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, IEEE Transactions on Neural Network, Journal of the American Society for Information Science and Technology, Journal of Information Processing and Management, Journal of Machine Vision and Application, Pattern Recognition Letters, etc.

Tutorial Speaker of SIGIR 2008, WWW 2008, and AIRS 2008.

Invited Speaker of The Tokyo Forum on Advanced NLP and Data Mining 2008, The Pao-Lu Hsu Statistics Conference: Machine Learning 2007, Workshop on Machine Learning and Its Application 2006.

SELECTED AWARDS

Best Student Paper Award: The paper titled "BrowseRank: Letting Web Users Vote for Page Importance" wins the Best Student Paper Award at SIGIR 2008.

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 (2004~2006).

SELECTED PUBLICATIONS

* - Interns that I mentored when they were doing corresponding research works.

* - About 40 other papers in addition to the representative ones listed below.

Conference Papers

  1. Xiubo Geng*, Tie-Yan Liu, et al. Query-dependent Ranking using K-Nearest Neighbor, SIGIR 2008.

  2. Yuting Liu*, Bin Gao, Tie-Yan Liu, et al. BrowseRank: Letting Web Users Vote for Page Importance, SIGIR 2008. [Best Student Paper Award]

  3. Jun Xu, Tie-Yan Liu, et al. Directly Optimizing IR Evaluation Measures in Learning to Rank, SIGIR 2008.

  4. Xiubo Geng*, Tie-Yan Liu, et al. Feature Selection for Ranking, SIGIR 2007.

  5. Mingfeng Tsai*, Tie-Yan Liu, et al. FRank: A Ranking Method with Fidelity Loss, SIGIR 2007.

  6. Tao Qin*, Tie-Yan Liu, et al. Ranking with Multiple Hyperplanes, SIGIR 2007.

  7. 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.

  8. Guang Feng*, Tie-Yan Liu, et al. AggregateRank: Bringing Order to Websites, SIGIR 2006.

  9. Yunbo Cao, Jun Xu, Tie-Yan Liu, et al. Adapting Ranking SVM to Document Retrieval, SIGIR 2006.

  10. Tao Qin*, Tie-Yan Liu, et al. A Study on Relevance Propagation for Web Search, SIGIR 2005.

  11. Fen Xia*, Tie-Yan Liu, et al. Listwise Approach to Learning to Rank: Theorem and Algorithm, ICML 2008.

  12. Yanyan* Lan, Tie-Yan Liu, et al. Query-level Stability and Generalization in Learning to Rank, ICML 2008.

  13. Zhe Cao*, Tao Qin*, Tie-Yan Liu, et al. Learning to Rank: From Pairwise Approach to Listwise Approach. ICML 2007.

  14. Tao Qin*, Tie-Yan Liu, et al. Learning to Rank Relational Objects and Its Application to Web Search, WWW 2008.

  15. Yuting Liu*, Tie-Yan Liu, et al. Supervised Rank Aggregation, WWW 2007.

  16. Qiankun Zhao*, Chuhong Hoi, Tie-Yan Liu, et al. Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data, WWW 2006.

  17. Qiankun Zhao*, Tie-Yan Liu, et al. Event Detection from Evolution of Click-through Data, KDD 2006.

  18. Bin Gao*, Tie-Yan Liu, et al. Consistent Bipartite Graph Co-Partitioning for Star-Structured High-Order Heterogeneous Data Co-Clustering, KDD 2005.

  19. Bin Gao*, Tie-Yan Liu, et al. Web Image Clustering by Consistent Utilization of Visual Features and Surrounding Texts, ACM Multimedia 2005.

Journal Papers

  1. Tao Qin*, Tie-Yan Liu, et al. Query-level Loss Function for Information Retrieval. Information Processing and Management, 2007.

  2. Tao Qin*, Xu-Dong Zhang, Tie-Yan Liu, et al. An Active Feedback Framework for Image Retrieval, Pattern Recognition Letters, 2007.

  3. Ying Bao*, Guang Feng*, Tie-Yan Liu, et al. Ranking Websites: A Probabilistic View, Internet Mathematics, 2007.

  4. Tie-Yan Liu, Bin Gao. High-Order Heterogeneous Data Mining, Book Chapter, Machine Learning and Its Applications, 2007.

  5. Tao Qin*, Tie-Yan Liu, et al. Topic Distillation Via Subsite Retrieval, Information Processing and Management, 2006.

  6. 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.

  7. Tie-Yan Liu, Yiming Yang, et al. Support Vector Machines Classification with Very Large Scale Taxonomy, SIGKDD Explorations, 2005.

  8. 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]

  9. Tie-Yan Liu, Xu-Dong Zhang, et al. Shot Reconstruction Degree: a Novel Criterion for Key Frame Selection, Pattern Recognition Letters, 2004.

  10. Tie-Yan Liu, Kwoktung Lo, et al. Frame Interpolation Scheme Using Inertia Motion Prediction. Signal Processing: Image Communication, 2003.

  11. 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.

PATENTS

~40 filed patents or pending applications

- In the areas of multimedia content analysis, web search, data mining, distributed system, etc.

REFERENCES

Available upon request.

Last Update: April 10, 2008