职称：助理教授、博士生导师 毕业院校：EMC易倍官网，香港城市大学
email：zhangzijian@jlu.edu.cn
研究方向：人工智能、时空数据挖掘、推荐系统、大语言模型
个人简介
张子健现任EMC易倍助理教授/副研究员，博士生导师，香港中文大学荣誉访问学者（合作导师Irwin King教授，ACM/IEEE Fellow）。博士毕业于EMC易倍官网，同时获香港城市大学联合培养博士学位。
近三年发表CCF A/B类论文30余篇，谷歌学术总被引600余次，h-index 14，以第一作者或通讯作者身份在NeurIPS、AAAI、SIGIR、WWW、CIKM等国际顶级人工智能和数据挖掘会议上发表多篇论文。担任人工智能、数据挖掘、信息检索领域旗舰期刊与会议审稿人。
实验室目前有博士、硕士、本科生20余人，导师亲手指导，科研氛围浓厚，论文产出稳定。每年有充足的博士、硕士招生名额，欢迎本科生科研助理加入（有无科研经历均可）。指导员工科研经验丰富，曾指导多名本科生和硕士生科研，员工均有顶级会议论文发表，并到国际顶尖学府深造。实验室与快手，百度，阿里等科技公司有长期合作关系，可推荐优秀员工到大厂和知名实验室实习。实验室提供丰富的计算资源支持，欢迎对机器学习和数据挖掘感兴趣的员工加入。联系电话/微信：15754310579。
工作经历
2024.10 —— 至今 EMC易倍官网 EMC易倍 助理教授/副研究员 博士生导师
2023.09 —— 2024.09 快手科技 推荐算法实习研究员
教育经历
2022.09 —— 2024.09 香港城市大学 数据科学公司 联合培养博士
2021.09 —— 2024.09 EMC易倍官网 EMC易倍 博士
2018.09 —— 2021.06 EMC易倍官网 EMC易倍 硕士
2014.09 —— 2018.07 EMC易倍官网 EMC易倍 学士
科研项目
中国博士后科学基金面上资助项目，“基于因果解耦的动态交通状态预测方法研究”,8万元，2025
智能算法安全全国重点实验室开放课题，“LLM 智能体用户仿真与推荐算法评估研究”,10万元，2025
论文发表
在时间序列分析、推荐系统等领域发表学术论文30余篇，部分论文信息如下（*为共同第一作者，#为通讯作者，下划线为我指导的员工），完整列表详见个人主页。
代表性工作：
[1]. Mingyuan Xia, Chunxu Zhang, Zijian Zhang#, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang. TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025, CCF A类会议，通讯作者，一作为本科生)
[2]. Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang. LLM-Powered User Simulator for Recommender System, The 39th AAAI Conference on Artificial Intelligence (AAAI 2025, CCF A类会议，第一作者)
[3]. Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024, CCF A类会议，第一作者)
[4]. Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang. AutoSTL: Automated Spatio-Temporal Multi-Task Learning, The 37th AAAI Conference on Artificial Intelligence (AAAI 2023, CCF A类会议，第一作者)
[5]. Muyang Li*, Zijian Zhang*, Xiangyu Zhao, Minghao Zhao, Runze Wu, Ruocheng Guo. AutoMLP: Automated MLP for Sequential Recommendations, The Web Conference 2023 (WWW 2023, CCF A类会议，共同第一作者)
[6]. Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu. PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF B类会议，第一作者)
[7]. Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang#, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li. Efficient and Robust Regularized Federated Recommendation, The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024, CCF B类会议，通讯作者)
[8]. Zijian Zhang*, Ze Huang*, Zhiwei Hu*, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao. MLPST: MLP is All You Need for Spatio-Temporal Prediction, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF B类会议，共同第一作者)
[9]. Qian Ma*, Zijian Zhang*, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang. Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF B类会议，共同第一作者)
Tutorials：
[1]. Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen. Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era, The Web Conference 2025 (WWW 2025)
[2]. Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian. Large Language Model Enhanced Recommender Systems: A Survey, The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
[3]. Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang. Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends, The 19th International Symposium on Spatial and Temporal Data (SSTD 2025)
学术服务
会议审稿人：
n Conference on Neural Information Processing Systems (NeurIPS)
n International Conference on Learning Representations (ICLR)
n ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
n ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
n The Web Conference (WWW)
n AAAI Conference on Artificial Intelligence (AAAI)
n ACM International Conference on Multimedia (MM)
n International Joint Conference on Artificial Intelligence (IJCAI)
n CVF/IEEE International Conference on Computer Vision (ICCV)
n ACM International Conference on Information and Knowledge Management (CIKM)
n ACM International Conference on Web Search and Data Mining (WSDM)
n ACM Conference on Recommender Systems (RecSys)
n European Conference on Artificial Intelligence (ECAI)
期刊审稿人：
n Artificial Intelligence (AIJ)
n ACM Transactions on Information Systems (TOIS)
n IEEE Transactions on Knowledge and Data Engineering (TKDE)
n IEEE Transactions on Cybernetics (TCYB)
n ACM Transactions on Knowledge Discovery from Data (TKDD)
n IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
n ACM Transactions on Intelligent Systems and Technology (TIST)
n Information Fusion
国内学术组织：
n 中国计算机学会专业会员
n 中国人工智能学会会员
n 中国人工智能学会知识工程与分布智能专业委员会青年委员
n EMC易倍官网学报（工学版）青年编委
n 东北大学学报青年编委
