● Joint Optimization of Bid and Budget Allocation in Sponsored Search, KDD 2012
● Relational Click Prediction for Sponsored Search, WSDM 2012.
● An Advertiser-Centric Approach to Understand User Click Behavior in Sponsored Search, CIKM 2011.
Learning to Rank
● Learning to Rank for Information Retrieval,Foundation and Trends on Information Retrieval, Now Publishers, 2009.
● A Noise-Tolerant Graphical Model for Ranking, Information Processing and Management, 2011.
● Future research directions on learning to rank, Proceeding track, Journal of Machine Learning Research, 2011.
● Selecting Optimal Training Data for Learning to Rank, Information Processing and Management, 2011.
● A New Probabilistic Model for Rank Aggregation, NIPS 2010.
● Two-Layer Generalization Analysis for Ranking Using Rademacher Average, NIPS 2010.
● Statistical Consistency of Top-k Ranking, NIPS 2009.
● Ranking Measures and Loss Functions in Learning to Rank,NIPS 2009.
● Global Ranking Using Continuous Conditional Random Fields, NIPS 2008.
● Generalization Analysis of Listwise Learning to Rank Algorithms, ICML 2009.
● Listwise Approach to Learning to Rank: Theorem and Algorithm, ICML 2008.
● Query-level Stability and Generalization in Learning to Rank, ICML 2008.
● Learning to Rank: From Pairwise Approach to Listwise Approach. ICML 2007.
● Query-dependent Ranking using K-Nearest Neighbor, SIGIR 2008.
● Directly Optimizing IR Evaluation Measures in Learning to Rank,SIGIR 2008.
● Making LETOR More Useful and Reliable,LR4IR 2008, in conjunction with SIGIR 2008.
● Feature Selection for Ranking, SIGIR 2007.
● FRank: A Ranking Method with Fidelity Loss, SIGIR 2007.
● Ranking with Multiple Hyperplanes, SIGIR 2007.
● LETOR: Benchmark dataset for research on learning to rank for information retrieval, LR4IR 2007, in conjunction with SIGIR 2007.
● Adapting Ranking SVM to Document Retrieval, SIGIR 2006.
● Learning to Rank Relational Objects and Its Application to Web Search, WWW 2008.
● Supervised Rank Aggregation, WWW 2007.
● Ranking with query-dependent loss for web search. WSDM 2010
● Tendency Correlation Analysis for Direct Optimization of Evaluation Measures in Information Retrieval, Information Retrieval Journal, 2010.
● Introduction to special issue on learning to rank for information retrieval, Information Retrieval Journal, 2010.
● A General Approximation Framework for Direct Optimization of Information Retrieval Measures, Information Retrieval Journal, 2009.
Web Search
● Semi-supervised graph ranking with rich meta data, KDD 2011.
● Page Importance Computation based on Markov Processes, Information Retrieval, 2011
● Let Web Spammers Expose Themselves, WSDM 2011.
● Actively Predicting Diverse Search Intent from User Browsing Behaviors, WWW 2010.
● A Framework to Compute Page Importance based on User Behaviors, Information Retrieval Journal, 2009.
● BrowseRank: Letting Web Users Vote for Page Importance, SIGIR 2008. [SIGIR Best Student Paper Award]
● AggregateRank: Bringing Order to Websites, SIGIR 2006.
● A Study on Relevance Propagation for Web Search, SIGIR 2005.
● Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data, WWW 2006.
● Event Detection from Evolution of Click-through Data, KDD 2006.
● Consistent Bipartite Graph Co-Partitioning for Star-Structured High-Order Heterogeneous Data Co-Clustering, KDD 2005.
● Ranking Websites: A Probabilistic View, Internet Mathematics, 2007.
● Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Co-partitioning, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2005.
● Support Vector Machines Classification with Very Large Scale Taxonomy, SIGKDD Explorations, 2005.
Multimedia
● 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]
● Shot Reconstruction Degree: a Novel Criterion for Key Frame Selection, Pattern Recognition Letters, 2004.
● Frame Interpolation Scheme Using Inertia Motion Prediction. Signal Processing: Image Communication, 2003.
● Inertia-based Cut Detection and Its Integration with Video Coder.IEE Proceedings on Vision, Image and Signal Processing, 2003.
