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    邹杰

    • 教授 博士生导师
    • 性别:男
    • 学历:博士研究生毕业
    • 学位:哲学博士学位
    • 入职时间: 2023-06-01
    • 办公地点:清水河校区国际创新中心B224A
    • 电子邮箱:

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    个人简介

    邹杰,电子科技大学计算机科学与工程学院教授,博士生导师,国家级青年人才,四川省高层次青年人才(2024),小米青年学者。2021年获得荷兰阿姆斯特丹大学博士学位,并先后于加拿大约克大学担任访问学者,荷兰阿姆斯特丹大学/新加坡南洋理工大学担任博士后/研究员。主要研究领域为信息检索,自然语言处理,推荐系统,多模态,智能体等。发表包括TPAMI、SIGIR、KDD、TheWebConf(WWW)、ACM TOIS、IP&M、INFFUS、IEEE TMM、IEEE TCSVT、AAAI、ACL、ICML、ICLR、ICCV、ECCV等CCF A类/中科院一区期刊或会议在内的国际高水平论文50余篇。主持海外优青、国家自然科学基金面上项目、国家自然科学基金青年项目、四川省自然科学基金面上项目、电子科技大学高层次人才项目等,主研包括欧盟、荷兰、新加坡、中国等多项国内外基金项目。中国中文信息学会信息检索专委会通讯委员,中国中文信息学会青工委委员,中国计算机学会多媒体专委会执行委员,ACM/CCF/CIPS/CSIG会员。长期担任本领域十余个CCF推荐顶级国际会议、期刊的领域主席、程序委员会委员、审稿人,如SIGIR, TheWebConf (WWW), ACL, ACM MM, IJCAI, AAAI, ICDE, WSDM, EMNLP,ACM TOIS,INFFUS,PR,KBS等。


    常年招收博士后、博士、硕士、本科科研实习。研究组以科学研究为导向,尊重学生自主意愿,长期与国内高校以及新加坡、荷兰、加拿大等国外顶尖实验室保持紧密合作关系。欢迎勤奋务实、有强烈科研兴趣(有攻博意向优先)、编程英语数学基础扎实的同学加入。同时欢迎优秀本科生加入。


    讲授课程:

    《数据挖掘与大数据分析》,《自然语言处理》,《社交媒体分析》,《大媒体前沿技术:机遇与挑战》


    主持的科研项目:

    对话式检索和推荐,国家自然科学基金优秀青年基金项目(海外),2025.01-2027.12,300万,主持;

    基于多源语义融合的多模态对话式推荐系统研究,国家自然科学基金青年基金项目,2025.01-2027.12,30万,主持;

    监控视频异常事件检测关键技术研究,四川省自然科学基金面上项目,2025.01-2026.12,20万,主持;


    学生获奖:

    2025、2026年电子科技大学学术青苗(4人次);WWW 2025 智能体推荐竞赛冠军;2025年CAAI全国大数据与社会计算学术会议智能体设计挑战赛二等奖;etc.

    毕业生去向:2026届(阿里千问、华为、商飞软件);


    部分论文列表:

    [28] Shuai Qin, Guojia An, Weikang Guo, Pei Ke, Jiwei Wei, Yang Yang, Jie Zou (通讯). 2026. From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval. EMNLP 2026 Findings.

    [27] Changbin Zhong, Jie Zou (通讯), Aixin Sun, Yang Deng, Weikang Guo, Yang Yang, and Heng Tao Shen. 2026. Modeling Response Uncertainty and Item Relevance in Conversational Recommender Systems. ACM Transactions on Information Systems (TOIS) . https://doi.org/10.1145/3822505  (CCF-A类期刊) 

    [26] Yibiao Wei, Jie Zou (通讯), Pengfei Zhang, Xiao Ao, Weikang Guo, Zeyu Ma, Yang Yang. 2026. CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation. In SIGIR. (CCF-A类会议) 

    [25] Guojia An, Jie Zou (通讯), Yuhan Yang, Shuai Qin, Weikang Guo, Jinyu Guo, Yang Yang. 2026. Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation. In SIGIR. (CCF-A类会议)

    [24] Kaibei Li, Jie Zou (通讯), Qika Lin, Weikang Guo, Qinyang He, and Yang Yang. 2026. ScotRec: Social Chain-of-thought LLM Reasoning for Recommendation. https://doi.org/10.1145/3774904.3792313. In WWW (CCF-A类会议). 

    [23] Pengfei Zhang, Guojia An, Jin Huang, Yuhan Yang, Yang Yang, and Jie Zou (通讯). 2026. Not All Information Brings Benefits: Personalization-driven Agent Debate for Conversational Recommendation. https://doi.org/10.1145/3774904.3792152. In WWW (CCF-A类会议). 

    [22] Yuhan Yang, Jie Zou (通讯), Guojia An, Jiwei Wei, Yang Yang, and Heng Tao Shen. 2026. Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation. https://doi.org/10.1145/3770854.3780280. In KDD (CCF-A类会议). 

    [21] Yeming Li, Chenxi Liu, Jie Zou (通讯), Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang. 2026. From Dialogue to Destination: Geography-aware Large Language Models with Multimodal Fusion for Conversational Recommendation. In AAAI (CCF-A类会议, Oral). 

    [20] Xiao Ao, Jie Zou (通讯), Yibiao Wei, Peng Wang, Weikang Guo. 2026. Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering. In AAAI (CCF-A类会议). 

    [19]Peter Atandoh, Yongkang Li, Weikang Guo, Jinyu Guo, Jie Zou (通讯). 2026. Less is More: Adaptive Prompt Compression and Exemplar Selection for Efficient Few-Shot Sentiment Analysis. Expert Systems with Applications (中科院SCI一区期刊). 

    [18] Yuhan Yang, Jie Zou (通讯), Guojia An, Weikang Guo, Mingshi Yan, Yang Yang, and Heng Tao Shen. 2026. CooSBR: Rethinking Neighborhood Integration for Session-based Recommendation. IP&M (中科院SCI一区期刊). 

    [17] Yibiao Wei, Jie Zou (通讯), Weikang Guo, Guoqing Wang, Xing Xu, and Yang Yang. 2025. MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems. In SIGIR (CCF-A类会议). 

    [16] Guojia An, Jie Zou (通讯), Jiwei Wei, Chaoning Zhang, Fuming Sun, and Yang Yang. 2025. Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation. In SIGIR (CCF-A类会议). 

    [15] Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Shuxi Han, Heli Ma, Zheng Wang, Yang Yang, and Heng Tao Shen. 2025. PSCon: Product Search Through Conversations. In SIGIR (CCF-A类会议). 

    [14] Jie Zou, Cheng Lin, Weikang Guo, Zheng Wang, Jiwei Wei, Yang Yang, and Heng tao Shen. 2025. Multi-type Context-aware Conversational Recommender Systems via Mixture-of-experts. Information Fusion (CAAI-A类期刊、中科院SCI一区期刊、IF=15.5). 

    [13] Cheng Lin, Hong Hu, Jie Zou (通讯), Lujun Li, Jun Liu, Yipeng Gao, Yang Yang, and Heng Tao Shen. 2025. Distilling Grounding DINO for an Edge-cloud Collaborative Advanced Driver Assistance System. IEEE TCSVT (中科院SCI一区期刊). 

    [12] Jie Zou, Aixin Sun, Cheng Long, and Evangelos Kanoulas. 2024. Knowledge-enhanced Conversational Recommendation via Transformer-based Sequential Modeling. ACM TOIS (CCF-A类期刊). 

    [11] Heli Ma, Jie Zou (通讯), Mohammad Aliannejadi, Evangelos Kanoulas, Yi Bin, and Yang Yang. 2024. Ask or Recommend: An Empirical Study on Conversational Product Search. In CIKM (CORE-A类会议,CCF-B类会议). 

    [10] Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Maria Soledad Pera, and Yiqun Liu. 2023. Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification. ACM TOIS (CCF-A类期刊). 

    [9] Jie Zou, Aixin Sun, Cheng Long, Mohammad Aliannejadi, and Evangelos Kanoulas. 2023. Asking Clarifying Questions: To Benefit or to Disturb Users in Web Search? IP&M (中科院SCI一区期刊). 

    [8] Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, and Cheng Long. 2022. Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. In SIGIR (CCF-A类会议). 

    [7] Jie Zou, Jimmy Huang, Zhaochun Ren, and Evangelos Kanoulas. 2022. Learning to Ask: Conversational Product Search via Representation Learning. ACM TOIS (CCF-A类期刊). 

    [6] Jie Zou, Yifan Chen, and Evangelos Kanoulas. 2020. Towards Question-based Recommender Systems. In SIGIR (CCF-A类会议). 

    [5] Jie Zou and Evangelos Kanoulas. 2020. Towards Question-based High-recall Information Retrieval: Locating the Last Few Relevant Documents for Technology-assisted Reviews. ACM TOIS (CCF-A类期刊). 

    [4] Jie Zou, Evangelos Kanoulas, and Yiqun Liu. 2020. An Empirical Study on Clarifying Question-based Systems. In CIKM (CORE-A类会议,CCF-B类会议). 

    [3] Jie Zou and Evangelos Kanoulas. 2019. Learning to Ask: Question-based Sequential Bayesian Product Search. In CIKM (CORE-A类会议,CCF-B类会议). 

    [2] Jie Zou, Dan Li, and Evangelos Kanoulas. 2018. Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers. In SIGIR (CCF-A类会议). 

    [1] Jie Zou, Ling Xu, Mengning Yang, Xiaohong Zhang, Dan Yang. 2017. Towards comprehending the non-functional requirements through developers’ eyes: An exploration of stack overflow using topic analysis. Information and Software Technology (CCF-B类期刊).


    English Homepage: https://sites.google.com/site/jiezou0806


    谷歌学术论文列表 (Google Scholar): https://scholar.google.com/citations?user=LdqJFMIAAAAJ&hl=en


    外部链接:未来媒体研究中心团队



    工作经历

    2023.6 -- 至今

    电子科技大学      计算机科学与工程学院      教授,博士生导师

    2021.11 -- 2023.5

    新加坡南洋理工大学      研究员

    2021.7 -- 2021.11

    荷兰阿姆斯特丹大学      博士后

    2021.4 -- 2021.6

    加拿大约克大学      访问学者

    研究方向

  • 信息检索

  • 自然语言处理

  • 推荐系统

  • 多媒体检索与推荐

  • 具身智能体