Xuanhui Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
13
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICTIR | Exposure-Based Reinforcement Learning to Rank. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2025 | ICLR | Inference Scaling for Long-Context Retrieval Augmented Generation. | Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky |
| 2025 | NAACL | LiPO: Listwise Preference Optimization through Learning-to-Rank. | 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 | SIGIR | Optimizing Compound Retrieval Systems. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2024 | EMNLP | Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. | Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis |
| 2024 | KDD | Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky |
| 2024 | NAACL | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | 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 | NAACL | Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. | Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky |
| 2024 | SIGIR | Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? | Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky |
| 2023 | CIKM | Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. | Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | EMNLP | PaRaDe: Passage Ranking using Demonstrations with LLMs. | Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui |
| 2023 | KDD | LibAUC: A Deep Learning Library for X-Risk Optimization. | Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang |
| 2023 | KDD | Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. | Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | SIGIR | Metric-agnostic Ranking Optimization. | Qingyao Ai, Xuanhui Wang, Michael Bendersky |
| 2023 | SIGIR | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. | Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky |
| 2022 | ICTIR | Stochastic Retrieval-Conditioned Reranking. | Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang |
| 2022 | KDD | Rax: Composable Learning-to-Rank Using JAX. | Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork |
| 2022 | KDD | Scale Calibration of Deep Ranking Models. | Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | On Optimizing Top-K Metrics for Neural Ranking Models. | Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | Revisiting Two-tower Models for Unbiased Learning to Rank. | Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | WSDM | Search and Discovery in Personal Email Collections. | Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2021 | ICLR | Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? | Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | ICTIR | Ensemble Distillation for BERT-Based Ranking Models. | Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | KDD | Bootstrapping Recommendations at Chrome Web Store. | Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | WWW | Diversification-Aware Learning to Rank using Distributed Representation. | Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky |
| 2021 | WWW | Cross-Positional Attention for Debiasing Clicks. | Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen |
| 2021 | WSDM | Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. | Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang |
| 2021 | WSDM | Interpretable Ranking with Generalized Additive Models. | Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian |
| 2020 | ICTIR | Permutation Equivariant Document Interaction Network for Neural Learning to Rank. | Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2020 | KDD | Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. | Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang |
| 2020 | WWW | Stabilizing Neural Search Ranking Models. | Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler |
| 2020 | SIGIR | Feature Transformation for Neural Ranking Models. | Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2020 | WSDM | Parameter Tuning in Personal Search Systems. | Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler |
| 2019 | ICTIR | Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. | Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork |
| 2019 | ICTIR | An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. | Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2019 | ICTIR | Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. | Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang |
| 2019 | KDD | Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. | Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler |
| 2019 | KDD | TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. | Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf |
| 2019 | WWW | Addressing Trust Bias for Unbiased Learning-to-Rank. | Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork |
| 2019 | SIGIR | Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. | Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2019 | WSDM | Estimating Position Bias without Intrusive Interventions. | Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims |
| 2018 | CIKM | The LambdaLoss Framework for Ranking Metric Optimization. | Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork |
| 2018 | IJCAI | Learning with Sparse and Biased Feedback for Personal Search. | Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2018 | WSDM | Position Bias Estimation for Unbiased Learning to Rank in Personal Search. | Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork |
| 2017 | WWW | Situational Context for Ranking in Personal Search. | Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang |
| 2017 | WSDM | Learning from User Interactions in Personal Search via Attribute Parameterization. | Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork |
| 2016 | SIGIR | Learning to Rank with Selection Bias in Personal Search. | Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork |
| 2013 | WSDM | Towards Twitter context summarization with user influence models. | Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu |
| 2012 | CIKM | Multi-faceted ranking of news articles using post-read actions. | Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang |
| 2012 | WWW | Model news relatedness through user comments. | Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng |
| 2012 | SIGIR | Personalized click shaping through lagrangian duality for online recommendation. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang |
| 2012 | SIGIR | Vote calibration in community question-answering systems. | Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang |
| 2012 | WSDM | Learning to rank with multi-aspect relevance for vertical search. | Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng |
| 2011 | KDD | Click shaping to optimize multiple objectives. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang |
| 2011 | WWW | Learning to model relatedness for news recommendation. | Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang |
| 2011 | WSDM | Learning to re-rank web search results with multiple pairwise features. | Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng |
| 2011 | WSDM | Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. | Lihong Li, Wei Chu, John Langford, Xuanhui Wang |
| 2009 | CIKM | Beyond hyperlinks: organizing information footprints in search logs to support effective browsing. | Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang Zhai |
| 2009 | ICML | Probabilistic dyadic data analysis with local and global consistency. | Deng Cai, Xuanhui Wang, Xiaofei He |
| 2009 | IJCAI | Locality Preserving Nonnegative Matrix Factorization. | Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han |
| 2009 | KDD | Mining broad latent query aspects from search sessions. | Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera |
| 2009 | SIGIR | Massive Implicit Feedback: Organizing Search Logs into Topic Maps for Collaborative Surfing. | Xuanhui Wang, ChengXiang Zhai |
| 2008 | CIKM | Mining term association patterns from search logs for effective query reformulation. | Xuanhui Wang, ChengXiang Zhai |
| 2008 | SIGIR | A study of methods for negative relevance feedback. | Xuanhui Wang, Hui Fang, ChengXiang Zhai |
| 2007 | CIKM | Improve retrieval accuracy for difficult queries using negative feedback. | Xuanhui Wang, Hui Fang, ChengXiang Zhai |
| 2007 | CIKM | Shine: search heterogeneous interrelated entities. | Xuanhui Wang, Jian-Tao Sun, Zheng Chen |
| 2007 | IJCAI | Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. | Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen |
| 2007 | KDD | Mining correlated bursty topic patterns from coordinated text streams. | Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat |
| 2007 | SIGIR | Learn from web search logs to organize search results. | Xuanhui Wang, ChengXiang Zhai |
| 2006 | ASPLOS | Have things changed now?: an empirical study of bug characteristics in modern open source software. | Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai |
| 2006 | ICDM | Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing. | Shen Huang, Jian-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, Zheng Chen |
| 2006 | NAACL | Language Model Information Retrieval with Document Expansion. | Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai |
| 2006 | WWW | CWS: a comparative web search system. | Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen |
| 2006 | WWW | Mining clickthrough data for collaborative web search. | Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen |
| 2006 | SIGIR | Latent semantic analysis for multiple-type interrelated data objects. | Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang Zhai |
| 2005 | CIKM | Accurate language model estimation with document expansion. | Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai |
| 2005 | SIGIR | Dirichlet PageRank. | Xuanhui Wang, Azadeh Shakery, Tao Tao |
| 2004 | CIKM | Web page clustering enhanced by summarization. | Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma |
| 2003 | ICDM | CBC: Clustering Based Text Classification Requiring Minimal Labeled Data. | Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu, Wei-Ying Ma |