Honglei Zhuang

86 papers A* 30A 5B 1Misc 3Journal 38Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Benchmark and Knowledge-Grounded Framework for Advanced Multimodal Personalization Study. CoRR Xia Hu, Honglei Zhuang, Brian Potetz, Alireza Fathi, Bo Hu, Babak Samari, Howard Zhou
2025	J	`jnl`	Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? CoRR Hansi Zeng, Kai Hui, Honglei Zhuang, Zhen Qin, Zhenrui Yue, Hamed Zamani, Dana Alon
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	J	`jnl`	Hybrid Latent Reasoning via Reinforcement Learning. CoRR Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang
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	A	`conf`	MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. WSDM Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang
2025	J	`jnl`	Predicting Instructor Performance in Online Education: An Interpretable Hierarchical Transformer with Contextual Attention. Inf. Syst. Res. Wen Wang, Mi Zhou, Beibei Li, Honglei Zhuang
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	A*	`conf`	A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. SIGIR Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
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`	Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. CoRR Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang
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	—	`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`	Multimodal Reranking for Knowledge-Intensive Visual Question Answering. CoRR Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky
2023	J	`jnl`	A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. CoRR Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
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	A*	`conf`	How Does Generative Retrieval Scale to Millions of Passages? EMNLP Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	J	`jnl`	How Does Generative Retrieval Scale to Millions of Passages? CoRR Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
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	—	`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`	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	—	`conf`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Donald Metzler
2022	J	`jnl`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. CoRR Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Don Metzler
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
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	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`	Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
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	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	Misc	`conf`	Ensemble Distillation for BERT-Based Ranking Models. ICTIR Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
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	J	`jnl`	Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	A*	`conf`	Adaptive Double-Exploration Tradeoff for Outlier Detection. AAAI Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
2020	J	`jnl`	Adaptive Double-Exploration Tradeoff for Outlier Detection. CoRR Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
2020	A*	`conf`	DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring. WWW Wen Wang, Han Zhao, Honglei Zhuang, Nirav Shah, Rema Padman
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	A*	`conf`	Joint Aspect-Sentiment Analysis with Minimal User Guidance. SIGIR Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han
2020	A*	`conf`	Mining Text Outliers in Document Directories. ICDM Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han
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	J	`jnl`	RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. CoRR Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith B. Hall, Ryan T. McDonald
2020	A	`conf`	Separate and Attend in Personal Email Search. WSDM Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2020	J	`jnl`	What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education. CoRR Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li
2019	A	`conf`	Aspect-Based Sentiment Analysis with Minimal Guidance. SDM Honglei Zhuang, Timothy P. Hanratty, Jiawei Har
2019	J	`jnl`	Separate and Attend in Personal Email Search. CoRR Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2019	A*	`conf`	Spherical Text Embedding. NeurIPS Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019	J	`jnl`	Spherical Text Embedding. CoRR Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019	—	`—`	Text mining with word embedding for outlier and sentiment analysis Honglei Zhuang
2018	J	`jnl`	GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. ACM Trans. Intell. Syst. Technol. Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han
2017	—	`conf`	Identifying Outlier Arms in Multi-Armed Bandit. NIPS Honglei Zhuang, Chi Wang, Yifan Wang
2017	A*	`conf`	Identifying Semantically Deviating Outlier Documents. EMNLP Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han
2017	A*	`conf`	PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. KDD Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han
2017	J	`jnl`	PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. CoRR Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han
2017	A*	`conf`	TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. KDD Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han
2016	A*	`conf`	GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. SIGIR Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han
2016	—	`conf`	Knowledge Fragment Enrichment Using Domain Knowledge Base. SMP Jing Zhang, Honglei Zhuang, Yanglei Song, Jiawei Han, Yutao Zhang, Jie Tang, Juanzi Li
2016	J	`jnl`	Multi-Dimensional, Phrase-Based Summarization in Text Cubes. IEEE Data Eng. Bull. Fangbo Tao, Honglei Zhuang, Chi Wang Yu, Qi Wang, Taylor Cassidy, Lance M. Kaplan, Clare R. Voss, Jiawei Han
2015	A*	`conf`	Debiasing Crowdsourced Batches. KDD Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han
2015	A	`conf`	Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning. WSDM Honglei Zhuang, Joel Young
2015	B	`conf`	Query-Based Outlier Detection in Heterogeneous Information Networks. EDBT Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han
2014	A*	`conf`	Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han
2014	A*	`conf`	Role-Aware Conformity Modeling and Analysis in Social Networks. AAAI Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li
2013	A*	`conf`	Influence Maximization in Dynamic Social Networks. ICDM Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun
2013	A*	`conf`	SAE: social analytic engine for large networks. KDD Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang
2012	J	`jnl`	Actively learning to infer social ties. Data Min. Knowl. Discov. Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin, Xia Wang
2012	—	`conf`	Inferring Geographic Coincidence in Ephemeral Social Networks. ECML/PKDD (2) Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang
2011	—	`conf`	Learning to Infer Social Ties in Large Networks. ECML/PKDD (3) Wenbin Tang, Honglei Zhuang, Jie Tang