Honglei Zhuang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
13
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | WSDM | MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. | Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang |
| 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 | 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 |
| 2024 | SIGIR | A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. | Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon |
| 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 | EMNLP | How Does Generative Retrieval Scale to Millions of Passages? | Ronak Pradeep, Kai Hui, Jai Gupta, dm D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran |
| 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 | 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 | ACL | ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. | Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Ccero Nogueira dos Santos, Yi Tay, Donald Metzler |
| 2022 | ICLR | ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. | 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 | 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 | SIGIR | Revisiting Two-tower Models for Unbiased Learning to Rank. | Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 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 | Cross-Positional Attention for Debiasing Clicks. | Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen |
| 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 | AAAI | Adaptive Double-Exploration Tradeoff for Outlier Detection. | Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou |
| 2020 | ICDM | Mining Text Outliers in Document Directories. | Edouard Fouch, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Bhm, Jiawei Han |
| 2020 | ICTIR | Permutation Equivariant Document Interaction Network for Neural Learning to Rank. | Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2020 | WWW | DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring. | Wen Wang, Han Zhao, Honglei Zhuang, Nirav Shah, Rema Padman |
| 2020 | SIGIR | Joint Aspect-Sentiment Analysis with Minimal User Guidance. | Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han |
| 2020 | SIGIR | Feature Transformation for Neural Ranking Models. | Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2020 | WSDM | Separate and Attend in Personal Email Search. | Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler |
| 2019 | SDM | Aspect-Based Sentiment Analysis with Minimal Guidance. | Honglei Zhuang, Timothy P. Hanratty, Jiawei Har |
| 2017 | EMNLP | Identifying Semantically Deviating Outlier Documents. | Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han |
| 2017 | KDD | PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. | Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han |
| 2017 | KDD | TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. | Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han |
| 2016 | SIGIR | GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. | Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han |
| 2015 | EDBT | Query-Based Outlier Detection in Heterogeneous Information Networks. | Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han |
| 2015 | KDD | Debiasing Crowdsourced Batches. | Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han |
| 2015 | WSDM | Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning. | Honglei Zhuang, Joel Young |
| 2014 | AAAI | Role-Aware Conformity Modeling and Analysis in Social Networks. | Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li |
| 2014 | ICDM | Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. | Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan am, Xifeng Yan, Jiawei Han |
| 2013 | ICDM | Influence Maximization in Dynamic Social Networks. | Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun |
| 2013 | KDD | SAE: social analytic engine for large networks. | 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 |