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2020 – today
- 2024
[c83]Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis:
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP 2024: 410-423- [c82]Harrie Oosterhuis
, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky:
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD 2024: 2307-2317 - [c81]Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky:
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) 2024: 358-370 - [c80]Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky:
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) 2024: 1504-1518 - [c79]Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky:
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR 2024: 2321-2326 - [p1]Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang:
Searching Personal Collections. Information Retrieval: Advanced Topics and Techniques 2024: 515-538 - [i32]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:
LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR abs/2402.01878 (2024) - [i31]Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis:
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR abs/2404.11791 (2024) - [i30]Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky:
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR abs/2407.02464 (2024) - [i29]Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang:
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. CoRR abs/2408.03359 (2024) - [i28]Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky:
Inference Scaling for Long-Context Retrieval Augmented Generation. CoRR abs/2410.04343 (2024) - [i27]Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky:
Integrating Planning into Single-Turn Long-Form Text Generation. CoRR abs/2410.06203 (2024) - 2023
- [c78]Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM 2023: 4502-4508 - [c77]Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui:
PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) 2023: 14242-14252 - [c76]Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang:
LibAUC: A Deep Learning Library for X-Risk Optimization. KDD 2023: 5487-5499 - [c75]Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork:
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD 2023: 5618-5627 - [c74]Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang:
RD-Suite: A Benchmark for Ranking Distillation. NeurIPS 2023 - [c73]Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky:
Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS 2023 - [c72]Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky:
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR 2023: 2308-2313 - [c71]Qingyao Ai, Xuanhui Wang, Michael Bendersky:
Metric-agnostic Ranking Optimization. SIGIR 2023: 2669-2680 - [i26]Qingyao Ai, Xuanhui Wang, Michael Bendersky:
Metric-agnostic Ranking Optimization. CoRR abs/2304.08062 (2023) - [i25]Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky:
Query Expansion by Prompting Large Language Models. CoRR abs/2305.03653 (2023) - [i24]Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang:
LibAUC: A Deep Learning Library for X-Risk Optimization. CoRR abs/2306.03065 (2023) - [i23]Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang:
RD-Suite: A Benchmark for Ranking Distillation. CoRR abs/2306.04455 (2023) - [i22]Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky:
Learning to Rank when Grades Matter. CoRR abs/2306.08650 (2023) - [i21]Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky:
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR abs/2306.17563 (2023) - [i20]Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky:
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR abs/2310.14122 (2023) - [i19]Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui:
PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR abs/2310.14408 (2023) - [i18]Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky:
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR abs/2311.09175 (2023) - 2022
- [j7]Zan Wang, Yiming Ling, Xuanli Wang, Dezhang Meng, Lixiu Nie, Guiqin An, Xuanhui Wang:
An improved Faster R-CNN model for multi-object tomato maturity detection in complex scenarios. Ecol. Informatics 72: 101886 (2022) - [c70]Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang:
Stochastic Retrieval-Conditioned Reranking. ICTIR 2022: 81-91 - [c69]Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork:
Rax: Composable Learning-to-Rank Using JAX. KDD 2022: 3051-3060 - [c68]Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Scale Calibration of Deep Ranking Models. KDD 2022: 4300-4309 - [c67]Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork:
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR 2022: 2303-2307 - [c66]Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR 2022: 2410-2414 - [c65]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. WSDM 2022: 1617-1619 - [i17]Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky:
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR abs/2210.10634 (2022) - [i16]Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR abs/2211.01494 (2022) - [i15]Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky:
Learning List-Level Domain-Invariant Representations for Ranking. CoRR abs/2212.10764 (2022) - [i14]Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork:
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR abs/2212.13937 (2022) - 2021
- [j6]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. 15(1): 1-133 (2021) - [c64]Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork:
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR 2021 - [c63]Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork:
Ensemble Distillation for BERT-Based Ranking Models. ICTIR 2021: 131-136 - [c62]Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork:
Bootstrapping Recommendations at Chrome Web Store. KDD 2021: 3483-3491 - [c61]Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang:
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM 2021: 481-489 - [c60]Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian:
Interpretable Ranking with Generalized Additive Models. WSDM 2021: 499-507 - [c59]Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky:
Diversification-Aware Learning to Rank using Distributed Representation. WWW 2021: 127-136 - [c58]Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen:
Cross-Positional Attention for Debiasing Clicks. WWW 2021: 788-797 - [i13]Walker Ravina, Ethan Sterling, Olexiy Oryeshko, Nathan Bell, Honglei Zhuang, Xuanhui Wang, Yonghui Wu, Alexander Grushetsky:
Distilling Interpretable Models into Human-Readable Code. CoRR abs/2101.08393 (2021) - [i12]Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Born Again Neural Rankers. CoRR abs/2109.15285 (2021) - [i11]Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR abs/2112.09727 (2021) - 2020
- [c57]Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR 2020: 145-148 - [c56]Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang:
Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. KDD 2020: 2359-2367 - [c55]Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Feature Transformation for Neural Ranking Models. SIGIR 2020: 1649-1652 - [c54]Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler:
Parameter Tuning in Personal Search Systems. WSDM 2020: 97-105 - [c53]Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler:
Stabilizing Neural Search Ranking Models. WWW 2020: 2725-2732 - [i10]Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork:
Learning-to-Rank with BERT in TF-Ranking. CoRR abs/2004.08476 (2020) - [i9]Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian:
Interpretable Learning-to-Rank with Generalized Additive Models. CoRR abs/2005.02553 (2020) - [i8]Nan Wang, Xuanhui Wang, Hongning Wang:
Unbiased Learning to Rank via Propensity Ratio Scoring. CoRR abs/2005.08480 (2020)
2010 – 2019
- 2019
- [c52]Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork:
An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. ICTIR 2019: 75-78 - [c51]Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork:
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. ICTIR 2019: 85-92 - [c50]Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang:
Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. ICTIR 2019: 253-254 - [c49]Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler:
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD 2019: 2032-2040 - [c48]Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD 2019: 2970-2978 - [c47]Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR 2019: 1419-1420 - [c46]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. WSDM 2019: 474-482 - [c45]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Addressing Trust Bias for Unbiased Learning-to-Rank. WWW 2019: 4-14 - [i7]Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork:
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. CoRR abs/1910.09676 (2019) - 2018
- [c44]Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork:
The LambdaLoss Framework for Ranking Metric Optimization. CIKM 2018: 1313-1322 - [c43]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Learning with Sparse and Biased Feedback for Personal Search. IJCAI 2018: 5219-5223 - [c42]Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork:
Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM 2018: 610-618 - [i6]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Offline Comparison of Ranking Functions using Randomized Data. CoRR abs/1810.05252 (2018) - [i5]Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork:
Learning Groupwise Scoring Functions Using Deep Neural Networks. CoRR abs/1811.04415 (2018) - [i4]Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR abs/1812.00073 (2018) - [i3]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. CoRR abs/1812.05161 (2018) - 2017
- [c41]Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork:
Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM 2017: 791-799 - [c40]Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang:
Situational Context for Ranking in Personal Search. WWW 2017: 1531-1540 - 2016
- [c39]Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork:
Learning to Rank with Selection Bias in Personal Search. SIGIR 2016: 115-124 - 2015
- [j5]Li-Jia Li, David A. Shamma, Xiangnan Kong, Sina Jafarpour, Roelof van Zwol, Xuanhui Wang:
CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images. ACM Trans. Multim. Comput. Commun. Appl. 12(1): 3:1-3:22 (2015) - 2014
- [j4]Lin Tan, Chen Liu, Zhenmin Li, Xuanhui Wang, Yuanyuan Zhou, ChengXiang Zhai:
Bug characteristics in open source software. Empir. Softw. Eng. 19(6): 1665-1705 (2014) - 2013
- [c38]Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu:
Towards Twitter context summarization with user influence models. WSDM 2013: 527-536 - 2012
- [j3]Wei Zheng, Hui Fang, Hong Cheng, Xuanhui Wang:
Diversifying Search Results through Pattern-Based Subtopic Modeling. Int. J. Semantic Web Inf. Syst. 8(4): 37-56 (2012) - [j2]Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
Coverage-based search result diversification. Inf. Retr. 15(5): 433-457 (2012) - [c37]Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang:
Multi-faceted ranking of news articles using post-read actions. CIKM 2012: 694-703 - [c36]Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang:
Personalized click shaping through lagrangian duality for online recommendation. SIGIR 2012: 485-494 - [c35]Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang:
Vote calibration in community question-answering systems. SIGIR 2012: 781-790 - [c34]Anirban Dasgupta, Kunal Punera, Justin M. Rao, Xuanhui Wang:
Impact of Spam Exposure on User Engagement. USENIX Security Symposium 2012: 33-48 - [c33]Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Learning to rank with multi-aspect relevance for vertical search. WSDM 2012: 453-462 - [c32]Xuanhui Wang, Jiang Bian, Yi Chang, Belle L. Tseng:
Model news relatedness through user comments. WWW (Companion Volume) 2012: 629-630 - [c31]Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang:
Bandits with Generalized Linear Models. ICML On-line Trading of Exploration and Exploitation 2012: 19-36 - [i2]Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang:
Multi-Faceted Ranking of News Articles using Post-Read Actions. CoRR abs/1205.0591 (2012) - 2011
- [c30]Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
An exploration of pattern-based subtopic modeling for search result diversification. JCDL 2011: 387-388 - [c29]Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang:
Click shaping to optimize multiple objectives. KDD 2011: 132-140 - [c28]Lihong Li, Wei Chu, John Langford, Xuanhui Wang:
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. WSDM 2011: 297-306 - [c27]Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng:
Learning to re-rank web search results with multiple pairwise features. WSDM 2011: 735-744 - [c26]Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang:
Learning to model relatedness for news recommendation. WWW 2011: 57-66 - [i1]Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Modeling Perceived Relevance for Tail Queries without Click-Through Data. CoRR abs/1110.1112 (2011) - 2010
- [c25]Wei Zheng, Hui Fang, Xuanhui Wang:
University of Delaware at Diverstiy Task of Web Track 2010. TREC 2010
2000 – 2009
- 2009
- [b1]Xuanhui Wang:
Improving Web Search for Difficult Queries. University of Illinois Urbana-Champaign, USA, 2009 - [c24]Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang Zhai:
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing. CIKM 2009: 1237-1246 - [c23]Deng Cai, Xuanhui Wang, Xiaofei He:
Probabilistic dyadic data analysis with local and global consistency. ICML 2009: 105-112 - [c22]Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han:
Locality Preserving Nonnegative Matrix Factorization. IJCAI 2009: 1010-1015 - [c21]Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera:
Mining broad latent query aspects from search sessions. KDD 2009: 867-876 - [c20]Xuanhui Wang, ChengXiang Zhai:
Massive Implicit Feedback: Organizing Search Logs into Topic Maps for Collaborative Surfing. UIIR@SIGIR 2009 - 2008
- [j1]Xuanhui Wang, Tao Tao, Jian-Tao Sun, Azadeh Shakery, Chengxiang Zhai:
DirichletRank: Solving the zero-one gap problem of PageRank. ACM Trans. Inf. Syst. 26(2): 10:1-10:29 (2008) - [c19]Xuanhui Wang, ChengXiang Zhai:
Mining term association patterns from search logs for effective query reformulation. CIKM 2008: 479-488 - [c18]Xuanhui Wang, Hui Fang, ChengXiang Zhai:
A study of methods for negative relevance feedback. SIGIR 2008: 219-226 - 2007
- [c17]Xuanhui Wang, Jian-Tao Sun, Zheng Chen:
Shine: search heterogeneous interrelated entities. CIKM 2007: 583-592 - [c16]Xuanhui Wang, Hui Fang, ChengXiang Zhai:
Improve retrieval accuracy for difficult queries using negative feedback. CIKM 2007: 991-994 - [c15]Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen:
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. IJCAI 2007: 2689-2694 - [c14]Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat:
Mining correlated bursty topic patterns from coordinated text streams. KDD 2007: 784-793 - [c13]Xuanhui Wang, ChengXiang Zhai:
Learn from web search logs to organize search results. SIGIR 2007: 87-94 - [c12]Yi-Ting Chou, Shui-Lung Chuang, Xuanhui Wang:
Instant Web Retrieval for Instance-Attribute Queries. Web Intelligence 2007: 579-585 - 2006
- [c11]Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai:
Have things changed now?: an empirical study of bug characteristics in modern open source software. ASID 2006: 25-33 - [c10]Shen Huang, Jian-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, Zheng Chen:
Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing. ICDM 2006: 285-294 - [c9]Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai:
Language Model Information Retrieval with Document Expansion. HLT-NAACL 2006 - [c8]Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang Zhai:
Latent semantic analysis for multiple-type interrelated data objects. SIGIR 2006: 236-243 - [c7]Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen:
CWS: a comparative web search system. WWW 2006: 467-476 - [c6]Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen:
Mining clickthrough data for collaborative web search. WWW 2006: 947-948 - 2005
- [c5]Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai:
Accurate language model estimation with document expansion. CIKM 2005: 273-274 - [c4]Xuanhui Wang, Azadeh Shakery, Tao Tao:
Dirichlet PageRank. SIGIR 2005: 661-662 - [c3]ChengXiang Zhai, Xu Ling, Xin He, Atulya Velivelli, Xuanhui Wang, Hui Fang, Azadeh Shakery, Xinghua Lu:
UIUC/MUSC at TREC 2005 Genomics Track. TREC 2005 - 2004
- [c2]Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma:
Web page clustering enhanced by summarization. CIKM 2004: 242-243 - 2003
- [c1]Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu, Wei-Ying Ma:
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data. ICDM 2003: 443-450
Coauthor Index
Michael Bendersky
aka: Mike Bendersky
aka: Mike Bendersky
[c83] [c82] [c81] [c80] [c79] [p1] [i31] [i30] [i28] [i27] [c78] [c75] [c73] [c72] [c71] [i26] [i25] [i22] [i21] [i20] [i18] [c70] [c69] [c68] [c67] [c66] [c65] [i17] [i16] [i15] [i14] [j6] [c64] [c63] [c62] [c60] [c59] [c58] [i12] [i11] [c57] [c55] [i10] [i9] [c52] [c51] [c50] [c48] [c47] [c45] [i7] [c44] [c43] [c42] [i6] [i5] [i4] [c41] [c40] [c39]
ChengXiang Zhai
aka: Chengxiang Zhai
aka: Chengxiang Zhai
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, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-12-18 19:21 CET by the dblp team
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