Detecting epidemic tendency by mining search logs. - Weize Kong; Yiqun Liu 001; Shaoping Ma; Liyun Ru (WWW, 2010)

Identifying Web Spam with the Wisdom of the Crowds. - Yiqun Liu 001; Fei Chen; Weize Kong; Huijia Yu; Min Zhang 006; Shaoping Ma; Liyun Ru (ACM Trans. Web, 2012)

Improving passage ranking with user behavior information. - Weize Kong; Elif Aktolga; James Allan (CIKM, 2013)

Extracting query facets from search results. - Weize Kong; James Allan (SIGIR, 2013)

Extending Faceted Search to the General Web. - Weize Kong; James Allan (CIKM, 2014)

Predicting Search Intent Based on Pre-Search Context. - Weize Kong; Rui Li 049; Jie Luo; Aston Zhang; Yi Chang 001; James Allan (SIGIR, 2015)

adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. - Aston Zhang; Amit Goyal 001; Weize Kong; Hongbo Deng; Anlei Dong; Yi Chang 001; Carl A. Gunter; Jiawei Han 001 (SIGIR, 2015)

Precision-Oriented Query Facet Extraction. - Weize Kong; James Allan (CIKM, 2016)

Extending Faceted Search to the Open-Domain Web. - Weize Kong (SIGIR Forum, 2016)

Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. - Weize Kong; Michael Bendersky; Marc Najork; Brandon Vargo; Mike Colagrosso (KDD, 2020)

Natural Language Understanding with Privacy-Preserving BERT. - Chen Qu 001; Weize Kong; Liu Yang 005; Mingyang Zhang 001; Michael Bendersky; Marc Najork (CIKM, 2021)

Improving Cloud Storage Search with User Activity. - Rolf Jagerman; Weize Kong; Rama Kumar Pasumarthi; Zhen Qin 001; Michael Bendersky; Marc Najork (WSDM, 2021)

Privacy-Adaptive BERT for Natural Language Understanding. - Chen Qu 001; Weize Kong; Liu Yang 005; Mingyang Zhang 001; Michael Bendersky; Marc Najork (CoRR, 2021)

Multi-Aspect Dense Retrieval. - Weize Kong; Swaraj Khadanga; Cheng Li 012; Shaleen Kumar Gupta; Mingyang Zhang 001; Wensong Xu; Michael Bendersky (KDD, 2022)

Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. - Jeffrey M. Dudek; Weize Kong; Cheng Li 012; Mingyang Zhang 001; Michael Bendersky (CIKM, 2023)

End-to-End Query Term Weighting. - Karan Samel; Cheng Li 012; Weize Kong; Tao Chen 008; Mingyang Zhang 001; Shaleen Kumar Gupta; Swaraj Khadanga; Wensong Xu; Xingyu Wang; Kashyap Kolipaka; Michael Bendersky; Marc Najork (KDD, 2023)

SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. - Weize Kong; Jeffrey M. Dudek; Cheng Li 012; Mingyang Zhang 001; Michael Bendersky (SIGIR, 2023)

Automatic Prompt Rewriting for Personalized Text Generation. - Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Weize Kong; Michael Bendersky (CoRR, 2023)

Bridging the Preference Gap between Retrievers and LLMs. - Zixuan Ke; Weize Kong; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (ACL (1), 2024)

PRewrite: Prompt Rewriting with Reinforcement Learning. - Weize Kong; Spurthi Amba Hombaiah; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (ACL (Short Papers), 2024)

Learning to Rewrite Prompts for Personalized Text Generation. - Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Weize Kong; Michael Bendersky (WWW, 2024)

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. - Alireza Salemi; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Weize Kong; Tao Chen 008; Zhuowan Li; Michael Bendersky; Hamed Zamani (CoRR, 2025)

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention. - Aili Chen; Aonian Li; Bangwei Gong; Binyang Jiang; Bo Fei; Bo Yang; Boji Shan; Changqing Yu; Chao Wang; Cheng Zhu; Chengjun Xiao; Chengyu Du; et al. (CoRR, 2025)