网络安全与治理中心

李朝卓

发布日期:2024-04-18     点击量:

姓名

李朝卓

性别

职务

学术兼职

老师类型

所属中心

网络安全与治理中心

职称

特聘副研究员

承担课程

研究方向

可信大语言模型、图神经网络、推荐系统

个人介绍

李朝卓,北京邮电大学副研究员,惟新学者。2020年毕业于北京航空航天大学获得工学博士学位,博士期间于2017年-2019年前往美国伊利诺伊大学进行为期两年的联合培养。博士毕业后,于2020年-2024年工作于微软亚洲研究院,担任主管研究员职位。主要的研究方向包括大语言模型安全、自然语言处理和社交网络分析等。


发表论文100余篇,其中CCF-A类论文50余篇。先后获得WSDM 2023 (CCF-B类会议)最佳论文提名奖、PAKDD 2023(CCF-C类会议)最佳论文提名奖等。


请有意从事相关科研的博士、硕士以及本科生邮箱联系。实验室配备了足够的计算资源以及培养方案,保证大家能够在短时间内发表自己的论文。

本人与华为、阿里、微软、智源研究院、信通院等知名公司保持紧密合作,可以帮助优秀学生推荐实习或者工作岗位。

承担课题

学术成果

[A1] Hui Pang, Chaozhuo Li (通讯作者), Litian Zhang, Senzhang Wang, Xi Zhang, Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers, Thirty-Ninth AAAI Conference on Artificial Intelligence. (AAAI 2025, CCF-A类会议)

[A2] Liwen Zheng, Chaozhuo Li (通讯作者), Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang, MRR-FV: Unlocking Complex Fact Verification with Multi-hop Retrieval and Reasoning, Thirty-Ninth AAAI Conference on Artificial Intelligence. (AAAI 2025, CCF-A类会议)

[A3] Litian Zhang, Xiaoming Zhang, Chaozhuo Li (通讯作者), Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang, Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation, Proceedings of the 32nd ACM International Conference on Multimedia. (MM 2024, CCF-A类会议)

[A4] Yuefei Lyu, Chaozhuo Li (共同通讯), Sihong Xie, Xi Zhang, Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning, 38th Conference on Neural Information Processing Systems. (NeurIPS 2024 Spotlight, CCF-A类会议)

[A5] Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li (共同通讯), Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, and Philip S. Yu, Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training, IEEE Transactions on Knowledge and Data Engineering. (TKDE 2025, CCF-A类期刊)

[A6] Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li (通讯作者), Feiran Huang, Senzhang Wang, Sunghun Kim, GPT4Rec: Graph Prompt Tuning for Streaming Recommendation, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2024, CCF-A类会议)

[A7] Shiqin Liu, Chaozhuo Li (共同通讯), Xi Zhang, Minjun Zhao, Yuanbo Xu, Jiajun Bu, Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training, Proceedings of the 32nd ACM International Conference on Multimedia. (MM 2024, CCF-A类会议)

[A8] Zhoujin Tian, Chaozhuo Li(通讯作者), Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang, Multi-grained topological pre-training of language models in sponsored search, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2023, CCF-A类会议)

[A9] Yiqi Wang, Chaozhuo Li(通讯作者), Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S Yu, An adaptive graph pre-training framework for localized collaborative filtering, ACM Transactions on Information Systems. (TOIS 2022, CCF-A类期刊)

[A10] Peiyan Zhang, Chaozhuo Li (通讯作者), Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim, High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs, The 2024 ACM Web Conference. (WWW 2024, CCF-A类会议)

[A11] Bo Zhang, Jianghua Zhu, Chaozhuo Li (通讯作者), Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou, What is a Good Question? Assessing Question Quality via Meta-Fact Checking, Thirty-Ninth AAAI Conference on Artificial Intelligence. (AAAI 2025, CCF-A类会议)

[A12] Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li (通讯作者), Senzhang Wang, Feiran Huang, Sunghun Kim, TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2024, CCF-A类会议)

[A13] Zhoujin Tian, Chaozhuo Li(通讯作者), Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang, PASS: Personalized advertiser-aware sponsored search, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2023, CCF-A类会议).

[A14] Bochen Pang, Chaozhuo Li(通讯作者), Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang, Improving relevance modeling via heterogeneous behavior graph learning in bing ads, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2022,CCF-A类会议)

[A15] Chaozhuo Li(第一作者), Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang, Adsgnn: Behavior-graph augmented relevance modeling in sponsored search, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2021,CCF-A类会议,谷歌引用60次)

[A16] Yingze Xie, Jie Xu, Liqiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li, Generative Sentiment Transfer via Adaptive Masking, Pacific-Asia Conference on Knowledge Discovery and Data Mining 2023. (PAKDD 2023,CCF-C类会议,最佳论文提名奖)

[A17] Rui Li, Xu Chen, Chaozhuo Li(共同通讯), Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie, To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. (ACL 2023,CCF-A类会议)

[A18] Rui Li, Jianan Zhao, Chaozhuo Li(共同通讯), Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang, House: Knowledge graph embedding with householder parameterization, International Conference on Machine Learning. (ICML 2022,CCF-A类会议,谷歌引用60次)

[A19] Chaozhuo Li(第一作者), Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, S Yu Philip, Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning, IEEE Transactions on Knowledge and Data Engineering. (TKDE 2023,CCF-A类期刊)

[A20] Yi Zhao, Chaozhuo Li(共同通讯), Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong, Beyond the overlapping users: cross-domain recommendation via adaptive anchor link learning, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2023,CCF-A类会议)

[A21] Chaozhuo Li(第一作者), Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li, Adversarial Learning for Weakly-Supervised Social Network Alignment, The Thirty-Third AAAI Conference on Artificial Intelligence 2019. (AAAI 2019,CCF-A类会议,谷歌引用107次)

[A22] Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jae Boum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim, Efficiently leveraging multi-level user intent for session-based recommendation via atten-mixer network, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining 2023. (WSDM 2023,CCF-B类会议,谷歌引用100次, 最佳论文提名奖)


详细列表请看:https://whatsname1991.github.io/publications/

联系电话


工作地点

北京邮电大学新科研楼

E-mail

lichaozhuo@bupt.edu.cn

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