Keping Bi
Keping Bi
(毕可平)
(毕可平)
Assistant Professor
ICT, Chinese Academy of Sciences
bikeping[at]ict[dot]ac[dot]cn
bikeping[at]gmail.com
(my UMass email is obsolete)
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I am an assistant professor at the Institute of Computing Technology, Chinese Academy of Sciences. I was advised by Prof. W. Bruce Croft during my Ph.D. study at the Center for Intelligent Information Retrieval (CIIR), College of Information and Computer Sciences, University of Massachusetts Amherst. My research mainly focuses on interactive information retrieval with user feedback. I also have four years of industry experience, working as a senior research engineer on the learning-to-rank team at Baidu Inc. for three years and as an applied scientist on the email search team at Microsoft for one year.
Experience
Experience
Institute of Computing Technology, Chinese Academy of Sciences, October 2022 - till now
Microsoft Email Search Team, Applied Scientist II, USA, July 2021 - August 2022
University of Massachusetts Amherst, Research Assistant in CIIR, advised by Prof. W. Bruce Croft. Amherst, MA, USA, Sept. 2015 - June 2021
Microsoft Research and MSAI, joint Research Intern, mentored by Dr. Pavel Metrikov and Dr. Chunyuan Li, Remote Internship, USA, July 2020 - August 2020
Microsoft Research and MSAI, joint Research Intern, mentored by Dr. Rahul Jha and Dr. Asli Celikyilmaz, Bellevue, WA, USA, May 2019 - August 2019
Amazon Search, Research Scientist Intern in Search Labs, mentored by Dr. Choon Hui Teo, Palo Alto, CA, USA, May 2018 - August 2018
Baidu Web Search, Senior Research Engineer at Learning to Rank Group, Beijing, China, July 2012 - July 2015
Yahoo! Labs, Intern Scientist, supervised by Dr. Xin Fan, Beijing, China, June 2012 - July 2012
Microsoft Research Asia, Research Intern at Information Retrieval and Mining Group, mentored by Dr. Yunhua Hu and Dr. Hang Li, Beijing, China, May 2010 - Feb. 2011
Peking University, M.S., Department of Machine Intelligence, Beijing, China, Sept. 2009 - July 2012
Nankai University, B. E., undergraduate thesis in Institute of Robotics & Automatic Information System, supervised by Prof. Jingtai Liu, Tianjin, China, Sept. 2005 - July 2009
Publications
Publications
Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng. Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. Proceedings of the 46th European Conference on Information Retrieval (ECIR'24), 2024.
Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng. A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.The 17th ACM International Conference on Web Search and Data Mining (WSDM'24), 2024
Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng. L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu. Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng. A Comparative Study of Training Objectives for Clarification Facet Generation. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023
Keping Bi, Qingyao Ai, W. Bruce Croft. "Asking Clarifying Questions Based on Negative Feedback in Conversational Search.” In the Proceedings of the 7th ACM International Conference on the Theory of Information Retrieval (ICTIR 2021). Virtual Event, Canada. July 11, 2021. 10 pages. [pdf]
Keping Bi, Qingyao Ai, W. Bruce Croft. "Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.'' in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). Virtual Event, Canada. July 11-15, 2021, pp. 123–132. [pdf]
Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun. "Leveraging User Behavior History for Personalized Email Search." In Proceedings of the Web Conference 2021 (WWW ’21), April 19–23, 2021, Ljubljana, Slovenia. pp. 2858–2868. [pdf]
Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz. "ARedSum: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization''. In the Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL'21), Virtual Event, Kyiv, Ukraine, April 19-23, 2021. pp. 281–291 [pdf]
Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhibodev, Kieran McDonald. Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. in Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP), pages 69–78, November 20, 2020. [pdf]
Keping Bi, Qingyao Ai, W. Bruce Croft. "A Transformer-based Embedding Model for Personalized Product Search". In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1521-1524. 2020, Xi'an, China. Acceptance rate=30.2% (153 out of 507) [pdf]
Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft. "Conversational Product Search Based on Negative Feedback". Accepted in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19), Beijing, China, November 3-7, 2019. pp. 359–368. Acceptance rate=19.4% (~200 out of ~1030) [pdf]
Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft. "A Study of Context Dependencies in Multi-page Product Search". Accepted in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19), Beijing, China, November 3-7, 2019, pp. 2333–2336. Acceptance rate=21.3% (~100 out of ~470) [pdf]
Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft. Explainable Product Search with a Dynamic Relation Embedding Model. Accepted in ACM Transactions on Information Systems (TOIS), 2019. [pdf] [code]
Keping Bi, Qingyao Ai, W. Bruce Croft, "Revisiting Iterative Relevance Feedback for Document and Passage Retrieval". Presented at SIGIR Workshop on Conversational Interaction Systems (WCIS'19), 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, July 21-25, 2019. [pdf] [poster]
Keping Bi, Choonhui Teo, Yesh Dattatreya, Vijai Mohan and W. Bruce Croft. "Leverage Implicit Feedback for Context-aware Product Search". Presented at the SIGIR 2019 workshop on eCommerce (ECOM’19), 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, July 25, 2019. [pdf] [slides] [poster]
Keping Bi, Qingyao Ai, W. Bruce Croft. "Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match". In Proceedings of the European Conference on Information Retrieval (ECIR'19), Cologne, Germany, April 14-18, 2019, pp. 558-572. Acceptance rate = 23% (39 out of 165) [pdf] [slides]
Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft. Unbiased Learning to Rank with Unbiased Propensity Estimation. In Proceedings of the 41st International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’18), Ann Arbor, Michigan, USA, July 8-12, 2018, pp. 385–394. [pdf] [code] [slides]
Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft. Learning a Deep Listwise Context Model for Ranking Refinement. In Proceedings of the 41st International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’18), Ann Arbor, Michigan, USA, July 8-12, 2018, pp. 135–144. [pdf] [code] [slides]
Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft. Learning a Hierarchical Embedding Model for Personalized Product Search. In Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’17), Japan, Tokyo, August 7-11, 2017, pp. 645–654. [pdf] [code] [data] [slides]
Chen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao, "Extracting Search-Focused Key N-Grams for Relevance Ranking in Web Search". In Proceedings of 5th ACM International Conference on Web Search and Data Mining (WSDM'12), pp. 343-352. 2012. [pdf] [slides]
Honors and Awards
Honors and Awards
SIGIR'21 Student Travel Grant; WWW'21 Student Scholarship; SIGIR'20 Student Travel Grant; CIKM'19 Student Travel Grant; ECIR'19 Student Travel Grant; SIGIR'18 Travel Grant;
Project Nominated for Baidu Highest Award (10 of 180+), 2014
Promoted Twice in Baidu Inc., 2013, 2014
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