Menu
Home
Google Scholar
GitHub
Flag Counter

Zijian Zhang (张子健)

alt text 

Ph.D. Candidate,
A217, Computer Building,
Jilin University,
No. 2699 Qianjin Street,
Changchun City, China
E-mail: zhangzj2114@mails.jlu.edu.cn

About me

I am a ‘JLU-CityU’ joint Ph.D. student under the supervision of Prof. Hongwei Zhao and Prof. Xiangyu Zhao. Before that, I received my Master’s and Bachelor’s degrees from Jilin University in 2021 and 2018, respectively.
I am optimistic and vigorous. I like singing and hiking in my spare time.

Download my CV.

News

  • 04/2024: 2 papers got accepted in SIGIR'24

  • 04/2024: 1 paper got accepted in IJCAI'24

  • 03/2024: I will serve as the PC Member of CIKM'24

  • 02/2024: I will serve as the PC Member of KDD'24

  • 01/2024: 1 paper got accepted in WWW'24

  • 12/2023: I will serve as the PC Member of IJCAI'24

  • 10/2023: Chaired the main session Session 9A - Urban Informatics 3 at CIKM'23

  • 09/2023: Received the CIKM'23 student travel grant

  • 09/2023: 1 paper got accepted in Neural Networks

  • 08/2023: 4 papers (1 short paper) got accepted in CIKM'23

  • 07/2023: I will serve as the PC Member of AAAI'24

  • 04/2023: 1 paper got accepted in IJCAI'23

  • 02/2023: I was invited to present our spatio-temporal multi-task learning paper at Hong Kong Institute for Data Science

  • 02/2023: Chaired the technical session DMKM: Mining of Spatial, Temporal or Graph Data at AAAI'23

  • 02/2023: I was invited to present our spatio-temporal multi-task learning paper at BAAI(智源社区)

  • 01/2023: 2 papers got accepted in WWW'23

  • 12/2022: Received the AAAI'23 student travel award and will serve as volunteer

  • 11/2022: 1 paper got accepted in AAAI'23

  • 08/2022: 1 paper got accepted in CIKM'22

  • 05/2022: 1 paper got accepted in Applied Intelligence

  • 12/2021: Joined Applied Machine Learning Lab in CityU as a 'JLU-CityU' Joint Ph.D. student

  • 09/2021: Joined JLU as a Ph.D. student of Computer Application Technology

Research

My research interests include:

  • Spatio-Temporal Data Mining

  • Multi-Task Learning

  • Recommender Systems

Publications

* indicates equal contribution.

  1. 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' 24)

  2. Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai, Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR' 24)

  3. Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang, Federated Adaptation for Foundation Model-based Recommendations, The 33rd International Joint Conference on Artificial Intelligence (IJCAI' 24)

  4. Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang, When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions, The Web Conference 2024 (WWW' 24)

  5. 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' 23)

  6. 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' 23)

  7. 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' 23)

  8. Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li, Counterfactual-Consistent Adversarial Learning for Recommender Systems, The 32nd ACM International Conference on Information and Knowledge Management (CIKM' 23), Short Paper

  9. Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang, LaenNet: Learning robust GCNs by propagating labels, Neural Networks. Sep, 2023, pp. 652-664. (IF = 7.8)

  10. Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang, Dual Personalization on Federated Recommendation, The 32nd International Joint Conference on Artificial Intelligence (IJCAI' 23)

  11. Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Haochen Liu, Liu Zitao, MMMLP: Multi-modal Multilayer Perceptron for Sequence Recommendation, The Web Conference 2023 (WWW' 23)

  12. Muyang Li*, Zijian Zhang*, Xiangyu Zhao, Minghao Zhao, Runze Wu, Ruocheng Guo, AutoMLP: Automated MLP for Sequential Recommendations, The Web Conference 2023 (WWW' 23)

  13. 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' 23)

  14. Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li, MAE4Rec: Storage-saving Transformer for Sequential Recommendations, The 31st ACM International Conference on Information and Knowledge Management (CIKM' 22)

  15. Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang, BO-Aug: Learning Data Augmentation Policies via Bayesian Optimization, Applied Intelligence. Aug, 2022, pp. 1-16. (IF = 5.019)

Education

Joint Ph.D., School of Data Science, City University of Hong Kong, 2022-Now

Ph.D., College of Computer Science and Technology, Jilin University, 2021-Now

M.E., College of Computer Science and Technology, Jilin University, 2018-2021

B.E., College of Computer Science and Technology, Jilin University, 2014-2018