Publications

Cross-Positional Attention for Debiasing Clicks
Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen.
In Proc. of the Web Conference (WWW), 2021.
[PDF]

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.
In International Conference on Learning Representations (ICLR), 2021.
[PDF]

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.
In Proc. of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
[PDF]

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith Hall, Ryan McDonald.
[arXiv]

Mining Text Outliers in Document Directories
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han.
In Proc. of 2020 IEEE International Conference on Data Mining (ICDM), 2020.
[PDF]

Permutation Equivariant Document Interaction Network for Neural Learning-to-Rank
Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of the 2020 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2020.
(Best Short Paper Nomination)
[PDF]

Joint Aspect-Sentiment Analysis with Minimal User Guidance
Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han.
In Proc. of 43rd International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2020.
[PDF]

Feature Transformation for Neural Ranking Models
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of 43rd International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2020.
[PDF]

Adaptive Double-Exploration Tradeoff for Outlier Detection
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou.
In Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
[PDF]

DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring
Wen Wang, Han Zhao, Honglei Zhuang, Rema Padman, Nirav Shah.
In Proc. of The Web Conference (WWW), 2020.
[PDF]

Separate and Attend in Personal Email Search
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler.
In Proc. of the 13th ACM International Conference on Web Search and Data Mining (WSDM), 2020.
[PDF]

Spherical Text Embedding
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han.
In Proc. of Advances in Neural Information Processing Systems (NeurIPS), 2019.
[PDF]

Aspect-Based Sentiment Analysis with Minimal Guidance
Honglei Zhuang, Timothy Hanratty, Jiawei Han.
In Proc. of 2019 SIAM International Conference on Data Mining (SDM), 2019.
[PDF]

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance Kaplan, Shaowen Wang, Jiawei Han.
ACM Transactions on Intelligent Systems and Technology (TIST), 2018.
[PDF]

Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang.
In Proc. of Advances in Neural Information Processing Systems (NeurIPS), 2017.
[PDF]

Identifying Semantically Deviating Outlier Documents
Honglei Zhuang, Chi Wang, Fangbo Tao, Lance Kaplan, Jiawei Han.
In Proc. of the 2017 Conf. on Empirical Methods in Natural Language Processing (EMNLP), 2017.
[PDF]

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han.
In Proc. of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
[PDF]

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.
In Proc. of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
[PDF]

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance Kaplan, Shaowen Wang, Jiawei Han.
In Proc. of 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016.
[PDF]

Multi-Dimensional, Phrase-Based Summarization in Text Cubes
Fangbo Tao, Honglei Zhuang, Chi Wang, Qi Wang, Taylor Cassidy, Lance Kaplan, Clare Voss, Jiawei Han.
IEEE Data Engineering Bulletin, 2016.
[PDF]

Debiasing Crowdsourced Batches
Honglei Zhuang, Aditya Parameswaran, Dan Roth, Jiawei Han.
In Proc. of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015.
[PDF]

Query-Based Outlier Detection in Heterogeneous Information Networks
Jonathan Kuck*, Honglei Zhuang*, Xifeng Yan, Hasan Cam, Jiawei Han.
In Proc. 18th International Conference on Extending Database Technology (EDBT), 2015. (*equal contribution)
[PDF]

Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Honglei Zhuang, Joel Young.
In Proc. of the 8th ACM International Conference on Web Search and Data Mining (WSDM), 2015.
[PDF]

Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks
Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Cam, Xifeng Yan, Jiawei Han.
In Proc. of 2014 IEEE International Conference on Data Mining (ICDM), 2014.
[PDF]

Role-aware Conformity Influence Modeling and Analysis in Social Networks
Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juanzi Li.
In Proc. of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014.
[PDF]

Influence Maximization in Dynamic Social Networks
Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun.
In Proc. of 2013 IEEE International Conference on Data Mining (ICDM), 2013.
[PDF]

SAE: Social Analytic Engine for Dynamic 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.
In Proc. of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. (demo paper)
[PDF]

Actively Learning to Infer Social Ties
Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin, Xia Wang.
Data Mining and Knowledge Discovery (DMKD), 2012.
[PDF]

Inferring Geographic Coincidence in Ephemeral Social Networks
Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang.
In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2012.
[PDF]

Learning to Infer Social Ties in Large Networks
Wenbin Tang, Honglei Zhuang, Jie Tang.
In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2011.
(Best Student Paper Runner-up)
[PDF]