Shuguang Han's Homepage

Bio

My name is Shuguang Han. I am currently working at Alibaba Group in Hangzhou. I used to work at Google Research in Mountain View, California (2017-2020). I received my Doctorate Degree from the School of Information Sciences, University of Pittsburgh. My advisors are Daqing He and Peter Brusilovsky. Before that, I spent six years at Wuhan University for my master's and bachelor's degrees.

Contact Me: hanshuguang AT gmail DOT com. For more information, please see my CV or Google Scholar page.

Work & Intern

Alibaba Group: 2020/07 -

Google Research: 2017/04 - 2020/07

Google Intern: 2014/06 - 2014/09, 2015/07 - 2015/10

Yahoo! Intern: 2015/04 - 2015/07

Baidu Intern: 2009/06 - 2009/12

Publications (Selected)

32. [EMNLP 2025] Haiyang Yang, Qinye Xie, Qingheng Zhang, Liyu Chen, Huike Zou, Chengbao Lian, Shuguang Han, Fei Huang, Jufeng Chen, Bo Zheng. 2025. GSID: Generative Semantic Indexing for E-Commerce Product Understanding. In the 2025 Conference on Empirical Methods in Natural Language Processing. Oral Presentation.

31. [EMNLP 2025] Huike Zou, Haiyang Yang, Yindu Su, Liyu Chen, Qinye Xie, Chengbao Lian, Qingheng Zhang, Shuguang Han, Fei Huang, Jufeng Chen. 2025. Multi-Value-Product Retrieval-Augmented Generation for Industrial Product Attribute Value Identification. In the 2025 Conference on Empirical Methods in Natural Language Processing. Poster Presentation.

30. [ACL 2025] Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Liyu Chen, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen. 2025. TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification. In the 63rd Annual Meeting of the Association for Computational Linguistics.

29. [KDD 2025] Wenhao Wu, Xiaojie Li, Lin Wang, Jialiang Zhou, Di Wu, Qinye Xie, Qingheng Zhang, Yin Zhang, Shuguang Han, Fei Huang, Junfeng Chen. 2025. IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, New York, NY, USA.

28. [KDD 2025] Jianyu Guan, Zongming Yin, Tianyi Zhang, Leihui Chen, Yin Zhang, Fei Huang, Jufeng Chen, and Shuguang Han. 2025. Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, New York, NY, USA.

27. [WWW 2025] Rong Chen, Shuzhi Cao, Ailong He, Shuguang Han, and Jufeng Chen. 2025. PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction. In Proceedings of the ACM Web Conference 2025. ACM, New York, NY, USA.

26. [WWW 2025 Demo, Best Demo Runner-up Award] Dexin Kong, Xu Yan, Ming Chen, Shuguang Han, Jufeng Chen, and Fei Huang. 2025. FishBargain: An LLM-Empowered Bargaining Agent for Online Fleamarket Platform Sellers. In Proceedings of the ACM Web Conference 2025. ACM, New York, NY, USA.

25. [TOIS 2025] Xiaoqiang Gui, Guoxian Yu, Jun Wang, Shuguang Han, Qingzhong Li, Yongqing Zheng, Wei Wang. Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure. ACM Transactions on Information Systems.

24. [US Patent 2024] Michael Bendersky, Przemyslaw Gajda, Sergey Novikov, Marc Alexander Najork, Shuguang Han. Adversarial bandits policy for crawling highly dynamic content. US Patent App.17/995,248. 203 (with Google AI).

23. [EMNLP 2024] Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen. 2024. IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

22. [WWW 2024] Wenhao Wu, Jialiang Zhou, Ailong He, Shuguang Han, Jufeng Chen, and Bo Zheng. 2024. MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. In Proceedings of the ACM Web Conference 2024. ACM, New York, NY, USA.

21. [WSDM 2024] Xiaoqiang Gui, Yueyao Cheng, Xiangrong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng. 2024. Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining, ACM, New York, NY, USA.

20. [KDD 2023] Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng. 2023. Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, New York, NY, USA.

19. [KDD 2023] Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng. 2023. Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, New York, NY, USA.

18. [CIKM 2023] Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, and Bo Zheng. 2023. Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. October 21-25, 2023. Birmingham, UK.

17. [CIKM 2023] Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu and Bo Zheng. 2023. COPR: Consistency-Oriented Pre-Ranking for Online Advertising. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. October 21-25, 2023. Birmingham, UK.

16. [CIKM 2023] Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu and Bo Zheng. 2022. Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. October 21-25, 2023. Birmingham, UK.

15. [CIKM 2023] Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, and Bo Zheng. 2023. PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. October 21-25, 2023. Birmingham, UK.

14. [CIKM 2022] Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, and Bo Zheng. 2022. KEEP: An Industrial Pretraining Framework for Online Recommendation via Knowledge Extraction and Plugging. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management. October 17-21, 2022. Atlanta, Georgia, USA.

13. [CIKM 2022] Zhaoyu Zhang, Xiang-rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, and Bo Zheng. 2022. Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management. October 17-21, 2022. Atlanta, Georgia, USA.

12. [KDD 2022] Kailun Wu, Zhangming Chan, Weijie Bian, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng. 2022. Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14-18,2022, Washington D.C.. ACM, New York, NY, USA.

11. [TREC COVID Challenge 2020] #1 in TREC COVID challenge round 4 and round 5. Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith Hall, Ryan McDonald. 2020. RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. Google Research Tech Report.

10. [MS MARCO Leaderboard 2020] #1 in passage re-ranking and #3 in passage full-ranking (leaderboard, accessed on 07/24/2020). Shuguang Han, Xuanhui Wang, Mike Bendersky and Marc Najork. 2020. Learning-to-Rank with BERT in TF-Ranking. Google Research Tech Report. [Google AI Blog] [Codes] [Tutorial from Peter Jansen] [Media coverage from SearchEngineLand] [Search Engine Journal] [Tensorflow Official Page]

9. [WWW 2020] Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky and Alexandrin Popescul. 2020. Adversarial Bandits Policy for Crawling Commercial Web Content. In Proceedings of The Web Conference 2020 (WWW ’20), April 20–24, 2020, Taipei, Taiwan. ACM, New York, NY, USA, 11 pages.

8. [WSDM 2020] Sebastian Bruch, Shuguang Han, Michael Bendersky and Marc Najork. 2019. A Stochastic Treatment of Learning to Rank Scoring Functions. In Proceedings of The 13th ACM International WSDM Conference, February 3–7, 2020, Houston, TX, USA.

7. [WWW 2019] Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Michael Bendersky, Marc Najork, Robin Dua and Alexandrin Popescul. 2019. Predictive Crawling for Commercial Web Content. In Proceedings of the 2019 World Wide Web Conference (WWW’19), May 13–17, 2019, San Francisco, CA, USA.

6. [ACL 2017] Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, and Yu Chi. 2017. Deep Keyphrase Generation. In the Annual Meeting of the Association for Computational Linguistics (ACL 2017).

5. [CIKM 2016] Shuguang Han, Xing Yi, Zhen Yue, Zhigeng Geng, and Alyssa Glass. 2016. Framing Mobile Information Needs: An Investigation of Hierarchical Query Sequence Structure. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management. ACM, New York, NY, USA, 2131-2136.

4. [TOIS 2015] Shuguang Han, Zhen Yue, and Daqing He. 2015. Understanding and Supporting Cross-Device Web Search for Exploratory Tasks with Mobile Touch Interactions. ACM Transactions on Information Systems. 33, 4, Article 16 (April 2015), 34 pages.

3. [US Patent 2015] Xing Yi, Zhen Yue, Alyssa Glass, and Shuguang Han. Query-goal-mission structures. 2015. US Patent App. 14/984,172, 2015 (with Yahoo! Labs).

2. [CSCW 2014] Zhen Yue, Shuguang Han, and Daqing He. 2014. Modeling search processes using hidden states in collaborative exploratory web search. In Proceedings of the 17th ACM conference on Computer-supported cooperative work & social computing (CSCW ’14). ACM, New York, NY, USA, 820-830.

1. [CIKM 2013] Shuguang Han, Daqing He, Jiepu Jiang, and Zhen Yue. 2013. Supporting exploratory people search: a study of factor transparency and user control. In Proceedings of the 22nd ACM International Conference on Information & Knowledge Management (CIKM ’13). ACM, New York, NY, USA, 449-458.

>>> A full list of publications can be found here: [Google Scholar] [DBLP]

Service

PC Members: EMNLP (2015 - 2017), CIKM (2015 - 2017), WWW (2018, 2019), KDD (2023, 2024)

Reviewers: SIGIR, KDD, IUI, TOIS, IEEE Big Data, etc.

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