Personal profile
Personal profile
Name: Wu Zhijing
Discipline: Computer Science and Technology
Title: Assistant Professor
Contact number:
E-mail: zhijingwu@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Wu Zhijing, Assistant professor and master tutor of the School of Computer Science. He received his PhD from Tsinghua University in 2022, during which he visited the National University of Singapore and the Royal Melbourne Institute of Technology. He joined the School of Computer Science, Beijing Institute of Technology in July 2022. His main research interests are information retrieval and natural language processing.
More information can be found in the personal home page: https://eudoraw.github.io/ < br >
Discipline: Computer Science and Technology
Title: Assistant Professor
Contact number:
E-mail: zhijingwu@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Wu Zhijing, Assistant professor and master tutor of the School of Computer Science. He received his PhD from Tsinghua University in 2022, during which he visited the National University of Singapore and the Royal Melbourne Institute of Technology. He joined the School of Computer Science, Beijing Institute of Technology in July 2022. His main research interests are information retrieval and natural language processing.
More information can be found in the personal home page: https://eudoraw.github.io/ < br >
Research Interests
Research Direction
Information Retrieval, Natural Language Processing
Information Retrieval, Natural Language Processing
Education
Personal Information
Wu Zhijing, Assistant professor and master tutor of the School of Computer Science. He received his PhD from Tsinghua University in 2022, during which he visited the National University of Singapore and the Royal Melbourne Institute of Technology. He joined the School of Computer Science, Beijing Institute of Technology in July 2022. His main research interests are information retrieval and natural language processing.
More information can be found in the personal home page: https://eudoraw.github.io/ < br >
Wu Zhijing, Assistant professor and master tutor of the School of Computer Science. He received his PhD from Tsinghua University in 2022, during which he visited the National University of Singapore and the Royal Melbourne Institute of Technology. He joined the School of Computer Science, Beijing Institute of Technology in July 2022. His main research interests are information retrieval and natural language processing.
More information can be found in the personal home page: https://eudoraw.github.io/ < br >
Professional Experience
Personal Information
Wu Zhijing, Assistant professor and master tutor of the School of Computer Science. He received his PhD from Tsinghua University in 2022, during which he visited the National University of Singapore and the Royal Melbourne Institute of Technology. He joined the School of Computer Science, Beijing Institute of Technology in July 2022. His main research interests are information retrieval and natural language processing.
More information can be found in the personal home page: https://eudoraw.github.io/ < br >
Wu Zhijing, Assistant professor and master tutor of the School of Computer Science. He received his PhD from Tsinghua University in 2022, during which he visited the National University of Singapore and the Royal Melbourne Institute of Technology. He joined the School of Computer Science, Beijing Institute of Technology in July 2022. His main research interests are information retrieval and natural language processing.
More information can be found in the personal home page: https://eudoraw.github.io/ < br >
Research Achievement
代表性学术成果
[1] Changzhi Zhou, Dandan Song, Jing Xu, Zhijing Wu, Yujin Gao. A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction. The 29th International Conference on Computational Linguistics. (COLING 2022)
[2] Zhijing Wu, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma. Leveraging Document-Level and Query-Level Passage Cumulative Gain for Document Ranking. Journal of Computer Science and Technology. (JCST)
[3] Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He. A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. The 15th ACM International Conference on Web Search and Data Mining. (WSDM 2022)
[4] Zhijing Wu, Mark Sanderson, B. Barla Cambazoglu, Bruce Croft, Falk Scholer. Providing Direct Answers in Search Results: A Study of User Behavior. The 29th ACM International Conference on Information and Knowledge Management. (CIKM 2020)
[5] Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma. Investigating Reading Behavior in Fine-grained Relevance Judgment. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2020)
[6] Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma. Leveraging Passage-level Cumulative Gain for Document Ranking. The Web Conference 2020. (WWW 2020).
[7] Zhijing Wu, Ke Zhou, Yiqun Liu, Min Zhang, Shaoping Ma. Does Diversity Affect User Satisfaction in Image Search. ACM Transactions on Information Systems. (TOIS).
[8] Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma. Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2019).
[9] Zhijing Wu, Yiqun Liu, Qianfan Zhang, Kailu Wu, Min Zhang, Shaoping Ma. The influence of image search intents on user behavior and satisfaction. The 12th ACM International Conference on Web Search and Data Mining. (WSDM 2019).
[10] Zhijing Wu, Xiaohui Xie, Yiqun Liu, Min Zhang, Shaoping Ma. A Study of User Image Search Behavior Based on Log Analysis. The 23rd China Conference on Information Retrieval. (CCIR 2017).
[11] Xiaohui Xie, Yiqun Liu, Xiaochuan Wang, Meng Wang, Zhijing Wu, Yingying Wu, Min Zhang, Shaoping Ma. Investigating Examination Behavior of Image Search Users. The 40th ACM SIGIR International Conference on Research and Development in Information Retrieval. (SIGIR 2017).
所获奖励
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A Flexible User Study Platform for Generative Information Retrieval
Liang, Y., Wu, Z., He, Y., Liang, F., Liu, K. & Mao, J., 13 Jul 2025, SIGIR 2025 - Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 4066-4070 5 p. (SIGIR 2025 - Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A Persona-Aware LLM-Enhanced Framework for Multi-Session Personalized Dialogue Generation
Liu, D., Wu, Z., Song, D. & Huang, H., 2025, Findings of the Association for Computational Linguistics: ACL 2025. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), p. 103-123 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models
Li, H., Ai, Q., Chen, J., Dong, Q., Wu, Z. & Liu, Y., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 23, p. 24422-24430 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access4 Link opens in a new tab Citations (Scopus) -
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
Zhang, L., Song, D., Wu, Z., Tian, Y., Zhou, C., Xu, J., Yang, Z. & Zhang, S., 2025, Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. Kwok, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 8357-8365 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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EEG reveals the cognitive impact of polarized content in short video scenarios
Du, B., Ye, Z., Jankowska, M., Wu, Z., Ai, Q., Zhou, Y. & Liu, Y., Dec 2025, In: Scientific Reports. 15, 1, 18277.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus)