Xuanhui Wang - RankMe

133 papers A* 47A 20Misc 6Journal 45Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. CoRR Paul Suganthan, Fedor Moiseev, Le Yan, Junru Wu, Jianmo Ni, Jay Han, Imed Zitouni, Enrique Alfonseca, Xuanhui Wang, Zhe Dong
2025	J	`jnl`	Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. CoRR Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G. C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
2025	A*	`conf`	Inference Scaling for Long-Context Retrieval Augmented Generation. ICLR Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2025	—	`conf`	LiPO: Listwise Preference Optimization through Learning-to-Rank. NAACL (Long Papers) Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
2025	J	`jnl`	Numerical simulation of hydraulic fracture extension patterns at interfaces of coal-measure rock strata and a new theoretical prediction model. Simul. Model. Pract. Theory Junqiang Ma, Xuehua Li, Yinghu Li, Xuanhui Wang, Qiangling Yao, Sen Yang
2025	A*	`conf`	Optimizing Compound Retrieval Systems. SIGIR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	J	`jnl`	Optimizing Compound Retrieval Systems. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	J	`jnl`	The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality. CoRR Aileen Cheng, Alon Jacovi, Amir Globerson, Ben Golan, Charles Kwong, Chris Alberti, Connie Tao, Eyal Ben-David, Gaurav Singh Tomar, Lukas Haas, Yonatan Bitton, Adam Bloniarz, Aijun Bai, Andrew Wang, Anfal Siddiqui, Arturo Bajuelos Castillo, Aviel Atias, Chang Liu, Corey Fry, Daniel Balle, Deepanway Ghosal, Doron Kukliansky, Dror Marcus, Elena Gribovskaya, Eran Ofek, Honglei Zhuang, Itay Laish, Jan Ackermann, Lily Wang, Meg Risdal, Megan Barnes, Michael Fink, Mohamed Amin, Moran Ambar, Natan Potikha, Nikita Gupta, Nitzan Katz, Noam Velan, Ofir Roval, Ori Ram, Polina Zablotskaia, Prathamesh Bang, Priyanka Agrawal, Rakesh Ghiya, Sanjay Ganapathy, Simon Baumgartner, Sofia Erell, Sushant Prakash, Thibault Sellam, Vikram Rao, Xuanhui Wang, Yaroslav Akulov, Yulong Yang, Zhen Yang, Zhixin Lai, Zhongru Wu, Anca Dragan, Avinatan Hassidim, Fernando Pereira, Slav Petrov, Srinivasan Venkatachary, Tulsee Doshi, Yossi Matias, Sasha Goldshtein, Dipanjan Das
2024	—	`conf`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2024	A*	`conf`	Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2024	A*	`conf`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Inference Scaling for Long-Context Retrieval Augmented Generation. CoRR Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Integrating Planning into Single-Turn Long-Form Text Generation. CoRR Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky
2024	J	`jnl`	LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. CoRR Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
2024	A*	`conf`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2024	—	`ch.`	Searching Personal Collections. Information Retrieval: Advanced Topics and Techniques Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2024	J	`jnl`	Searching Personal Collections. CoRR Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2023	J	`jnl`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Learning to Rank when Grades Matter. CoRR Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky
2023	A*	`conf`	LibAUC: A Deep Learning Library for X-Risk Optimization. KDD Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
2023	J	`jnl`	LibAUC: A Deep Learning Library for X-Risk Optimization. CoRR Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
2023	A*	`conf`	Metric-agnostic Ranking Optimization. SIGIR Qingyao Ai, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Metric-agnostic Ranking Optimization. CoRR Qingyao Ai, Xuanhui Wang, Michael Bendersky
2023	—	`conf`	PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023	J	`jnl`	PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023	J	`jnl`	Query Expansion by Prompting Large Language Models. CoRR Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	RD-Suite: A Benchmark for Ranking Distillation. NeurIPS Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	J	`jnl`	RD-Suite: A Benchmark for Ranking Distillation. CoRR Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	A*	`conf`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2023	A	`conf`	Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2023	A*	`conf`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	An improved Faster R-CNN model for multi-object tomato maturity detection in complex scenarios. Ecol. Informatics Zan Wang, Yiming Ling, Xuanli Wang, Dezhang Meng, Lixiu Nie, Guiqin An, Xuanhui Wang
2022	J	`jnl`	Learning List-Level Domain-Invariant Representations for Ranking. CoRR Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	Rax: Composable Learning-to-Rank Using JAX. KDD Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
2022	J	`jnl`	Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Scale Calibration of Deep Ranking Models. KDD Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A	`conf`	Search and Discovery in Personal Email Collections. WSDM Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2022	Misc	`conf`	Stochastic Retrieval-Conditioned Reranking. ICTIR Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang
2022	J	`jnl`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Bootstrapping Recommendations at Chrome Web Store. KDD Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Born Again Neural Rankers. CoRR Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Cross-Positional Attention for Debiasing Clicks. WWW Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen
2021	J	`jnl`	Distilling Interpretable Models into Human-Readable Code. CoRR Walker Ravina, Ethan Sterling, Olexiy Oryeshko, Nathan Bell, Honglei Zhuang, Xuanhui Wang, Yonghui Wu, Alexander Grushetsky
2021	A*	`conf`	Diversification-Aware Learning to Rank using Distributed Representation. WWW Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
2021	Misc	`conf`	Ensemble Distillation for BERT-Based Ranking Models. ICTIR Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A	`conf`	Interpretable Ranking with Generalized Additive Models. WSDM Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian
2021	A	`conf`	Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang
2021	J	`jnl`	Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2020	A*	`conf`	Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. KDD Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang
2020	A*	`conf`	Feature Transformation for Neural Ranking Models. SIGIR Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	J	`jnl`	Interpretable Learning-to-Rank with Generalized Additive Models. CoRR Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian
2020	J	`jnl`	Learning-to-Rank with BERT in TF-Ranking. CoRR Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork
2020	A	`conf`	Parameter Tuning in Personal Search Systems. WSDM Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler
2020	Misc	`conf`	Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	A*	`conf`	Stabilizing Neural Search Ranking Models. WWW Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler
2020	J	`jnl`	Unbiased Learning to Rank via Propensity Ratio Scoring. CoRR Nan Wang, Xuanhui Wang, Hongning Wang
2019	A*	`conf`	Addressing Trust Bias for Unbiased Learning-to-Rank. WWW Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2019	Misc	`conf`	An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. ICTIR Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	A*	`conf`	Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
2019	A	`conf`	Estimating Position Bias without Intrusive Interventions. WSDM Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2019	Misc	`conf`	Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. ICTIR Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork
2019	A*	`conf`	Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2019	Misc	`conf`	Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. ICTIR Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang
2019	J	`jnl`	Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	A*	`conf`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	J	`jnl`	Estimating Position Bias without Intrusive Interventions. CoRR Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2018	J	`jnl`	Learning Groupwise Scoring Functions Using Deep Neural Networks. CoRR Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork
2018	A*	`conf`	Learning with Sparse and Biased Feedback for Personal Search. IJCAI Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2018	J	`jnl`	Offline Comparison of Ranking Functions using Randomized Data. CoRR Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2018	A	`conf`	Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork
2018	J	`jnl`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	A	`conf`	The LambdaLoss Framework for Ranking Metric Optimization. CIKM Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork
2017	A	`conf`	Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork
2017	A*	`conf`	Situational Context for Ranking in Personal Search. WWW Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang
2016	A*	`conf`	Learning to Rank with Selection Bias in Personal Search. SIGIR Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork
2015	J	`jnl`	CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images. ACM Trans. Multim. Comput. Commun. Appl. Li-Jia Li, David A. Shamma, Xiangnan Kong, Sina Jafarpour, Roelof van Zwol, Xuanhui Wang
2014	J	`jnl`	Bug characteristics in open source software. Empir. Softw. Eng. Lin Tan, Chen Liu, Zhenmin Li, Xuanhui Wang, Yuanyuan Zhou, ChengXiang Zhai
2013	A	`conf`	Towards Twitter context summarization with user influence models. WSDM Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu
2012	—	`conf`	Bandits with Generalized Linear Models. ICML On-line Trading of Exploration and Exploitation Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang
2012	J	`jnl`	Coverage-based search result diversification. Inf. Retr. Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng
2012	J	`jnl`	Diversifying Search Results through Pattern-Based Subtopic Modeling. Int. J. Semantic Web Inf. Syst. Wei Zheng, Hui Fang, Hong Cheng, Xuanhui Wang
2012	A*	`conf`	Impact of Spam Exposure on User Engagement. USENIX Security Symposium Anirban Dasgupta, Kunal Punera, Justin M. Rao, Xuanhui Wang
2012	A	`conf`	Learning to rank with multi-aspect relevance for vertical search. WSDM Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng
2012	—	`conf`	Model news relatedness through user comments. WWW (Companion Volume) Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng
2012	J	`jnl`	Multi-Faceted Ranking of News Articles using Post-Read Actions CoRR Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
2012	A	`conf`	Multi-faceted ranking of news articles using post-read actions. CIKM Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
2012	A*	`conf`	Personalized click shaping through lagrangian duality for online recommendation. SIGIR Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
2012	A*	`conf`	Vote calibration in community question-answering systems. SIGIR Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang
2011	—	`conf`	An exploration of pattern-based subtopic modeling for search result diversification. JCDL Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng
2011	A*	`conf`	Click shaping to optimize multiple objectives. KDD Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
2011	A*	`conf`	Learning to model relatedness for news recommendation. WWW Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang
2011	A	`conf`	Learning to re-rank web search results with multiple pairwise features. WSDM Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng
2011	J	`jnl`	Modeling Perceived Relevance for Tail Queries without Click-Through Data CoRR Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng
2011	A	`conf`	Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. WSDM Lihong Li, Wei Chu, John Langford, Xuanhui Wang
2010	—	`conf`	University of Delaware at Diverstiy Task of Web Track 2010. TREC Wei Zheng, Hui Fang, Xuanhui Wang
2009	A	`conf`	Beyond hyperlinks: organizing information footprints in search logs to support effective browsing. CIKM Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang Zhai
2009	—	`—`	Improving Web Search for Difficult Queries Xuanhui Wang
2009	A*	`conf`	Locality Preserving Nonnegative Matrix Factorization. IJCAI Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han
2009	—	`conf`	Massive Implicit Feedback: Organizing Search Logs into Topic Maps for Collaborative Surfing. UIIR@SIGIR Xuanhui Wang, ChengXiang Zhai
2009	A*	`conf`	Mining broad latent query aspects from search sessions. KDD Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
2009	A*	`conf`	Probabilistic dyadic data analysis with local and global consistency. ICML Deng Cai, Xuanhui Wang, Xiaofei He
2008	A*	`conf`	A study of methods for negative relevance feedback. SIGIR Xuanhui Wang, Hui Fang, ChengXiang Zhai
2008	J	`jnl`	DirichletRank: Solving the zero-one gap problem of PageRank. ACM Trans. Inf. Syst. Xuanhui Wang, Tao Tao, Jian-Tao Sun, Azadeh Shakery, ChengXiang Zhai
2008	A	`conf`	Mining term association patterns from search logs for effective query reformulation. CIKM Xuanhui Wang, ChengXiang Zhai
2007	A*	`conf`	Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. IJCAI Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen
2007	A	`conf`	Improve retrieval accuracy for difficult queries using negative feedback. CIKM Xuanhui Wang, Hui Fang, ChengXiang Zhai
2007	—	`conf`	Instant Web Retrieval for Instance-Attribute Queries. Web Intelligence Yi-Ting Chou, Shui-Lung Chuang, Xuanhui Wang
2007	A*	`conf`	Learn from web search logs to organize search results. SIGIR Xuanhui Wang, ChengXiang Zhai
2007	A*	`conf`	Mining correlated bursty topic patterns from coordinated text streams. KDD Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat
2007	A	`conf`	Shine: search heterogeneous interrelated entities. CIKM Xuanhui Wang, Jian-Tao Sun, Zheng Chen
2006	A*	`conf`	CWS: a comparative web search system. WWW Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen
2006	—	`conf`	Have things changed now?: an empirical study of bug characteristics in modern open source software. ASID Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, ChengXiang Zhai
2006	—	`conf`	Language Model Information Retrieval with Document Expansion. HLT-NAACL Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai
2006	A*	`conf`	Latent semantic analysis for multiple-type interrelated data objects. SIGIR Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang Zhai
2006	A*	`conf`	Mining clickthrough data for collaborative web search. WWW Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen
2006	A*	`conf`	Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing. ICDM Shen Huang, Jian-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, Zheng Chen
2005	A	`conf`	Accurate language model estimation with document expansion. CIKM Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai
2005	A*	`conf`	Dirichlet PageRank. SIGIR Xuanhui Wang, Azadeh Shakery, Tao Tao
2005	—	`conf`	UIUC/MUSC at TREC 2005 Genomics Track. TREC ChengXiang Zhai, Xu Ling, Xin He, Atulya Velivelli, Xuanhui Wang, Hui Fang, Azadeh Shakery, Xinghua Lu
2004	A	`conf`	Web page clustering enhanced by summarization. CIKM Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
2003	A*	`conf`	CBC: Clustering Based Text Classification Requiring Minimal Labeled Data. ICDM Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu, Wei-Ying Ma