Honglei Zhuang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 62

Top Topics

Additive Models

Event Detection

Heterogeneous Information Networks

Top Venues

Publications

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)
Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky
Multimodal Reranking for Knowledge-Intensive Visual Question Answering. CoRR (2024)
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 (2024)
Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. CoRR (2024)
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. SIGIR (2024)
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 (2023)
Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
Query Expansion by Prompting Large Language Models. CoRR (2023)
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)
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)
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 (2023)
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)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? EMNLP (2023)
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 (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? CoRR (2023)
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)
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 (2023)
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)
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. CoRR (2023)
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 (2023)
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
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) (2022)
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
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR (2022)
Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang
Stochastic Retrieval-Conditioned Reranking. ICTIR (2022)
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 (2022)
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR (2022)
Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR (2022)
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 (2022)
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
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. CoRR (2022)
Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
Rax: Composable Learning-to-Rank Using JAX. KDD (2022)
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 (2022)
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Born Again Neural Rankers. CoRR (2021)
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)
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)
Walker Ravina, Ethan Sterling, Olexiy Oryeshko, Nathan Bell, Honglei Zhuang, Xuanhui Wang, Yonghui Wu, Alexander Grushetsky
Distilling Interpretable Models into Human-Readable Code. CoRR (2021)
Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR (2021)
Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
Ensemble Distillation for BERT-Based Ranking Models. ICTIR (2021)
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
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR (2021)
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)
Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen
Cross-Positional Attention for Debiasing Clicks. WWW (2021)
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han
Mining Text Outliers in Document Directories. ICDM (2020)
Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han
Joint Aspect-Sentiment Analysis with Minimal User Guidance. SIGIR (2020)
Wen Wang, Han Zhao, Honglei Zhuang, Nirav Shah, Rema Padman
DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring. WWW (2020)
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
Adaptive Double-Exploration Tradeoff for Outlier Detection. AAAI (2020)
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
Separate and Attend in Personal Email Search. WSDM (2020)
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Feature Transformation for Neural Ranking Models. SIGIR (2020)
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 (2020)
Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR (2020)
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
Adaptive Double-Exploration Tradeoff for Outlier Detection. CoRR (2020)
Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith B. Hall, Ryan T. McDonald
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. CoRR (2020)
Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li
What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education. CoRR (2020)
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
Separate and Attend in Personal Email Search. CoRR (2019)
Honglei Zhuang, Timothy P. Hanratty, Jiawei Har
Aspect-Based Sentiment Analysis with Minimal Guidance. SDM (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. CoRR (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. NeurIPS (2019)
Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. KDD (2017)
Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. KDD (2017)
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. CoRR (2017)
Honglei Zhuang, Chi Wang, Yifan Wang
Identifying Outlier Arms in Multi-Armed Bandit. NIPS (2017)
Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han
Identifying Semantically Deviating Outlier Documents. EMNLP (2017)
Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. SIGIR (2016)
Fangbo Tao, Honglei Zhuang, Chi Wang Yu, Qi Wang, Taylor Cassidy, Lance M. Kaplan, Clare R. Voss, Jiawei Han
Multi-Dimensional, Phrase-Based Summarization in Text Cubes. IEEE Data Eng. Bull. 39 (3) (2016)
Jing Zhang, Honglei Zhuang, Yanglei Song, Jiawei Han, Yutao Zhang, Jie Tang, Juanzi Li
Knowledge Fragment Enrichment Using Domain Knowledge Base. SMP (2016)
Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han
Debiasing Crowdsourced Batches. KDD (2015)
Honglei Zhuang, Joel Young
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning. WSDM (2015)
Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han
Query-Based Outlier Detection in Heterogeneous Information Networks. EDBT (2015)
Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li
Role-Aware Conformity Modeling and Analysis in Social Networks. AAAI (2014)
Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM (2014)
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
SAE: social analytic engine for large networks. KDD (2013)
Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun
Influence Maximization in Dynamic Social Networks. ICDM (2013)
Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang
Inferring Geographic Coincidence in Ephemeral Social Networks. ECML/PKDD (2) (2012)
Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin, Xia Wang
Actively learning to infer social ties. Data Min. Knowl. Discov. 25 (2) (2012)
Wenbin Tang, Honglei Zhuang, Jie Tang
Learning to Infer Social Ties in Large Networks. ECML/PKDD (3) (2011)