Sheng Zhang was awarded the M.Sc. in Data Science from City University of Hong Kong under the supervision of Prof. Xiangyu Zhao. During his M.Sc. study, his research focused on High Performance Recommender Systems, Neural Architecture Search, Model Compression and Large Language Models. Prior to his master’s study, he received his B.Sc. degree from the University of Electronic Science and Technology of China (UESTC) under the guidance of Prof. Jie Huang. Sheng Zhang is currently working as an Assistant Engineer at the High Magnetic Field Laboratory of the Chinese Academy of Sciences. His work now primarily focuses on the application of large language models and data-driven optimization of absorbing materials, leveraging machine learning to empower scientific research.

🔥 News

2025.05: 🎉🎉 Our paper FLUID-MMRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation is accepted by KDD 2025.
2025.04: 🎉🎉 Our paper DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation is accepted by IJCAI 2025.
2025.03: 🎉🎉 Our paper STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation is accepted by SIGIR 2025.
2024.11: 🎉🎉 Our paper GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems is accepted by KDD 2025.
2024.11: 🎉🎉 I am awarded the Outstanding Academic Performance Award (CGPA Top 1 Student) and Outstanding Research Project Award by the Department of Data Science at City University of Hong Kong.
2024.07: 🎉🎉 Our paper DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems is accepted by Recsys 2024.
2024.06: 🎉🎉 I am awarded Master of Science in Data Science with Distinction.

📝 Publications

Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu. (2025). FLUID-MMRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation. In SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (CCF-A).
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wangyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao. (2025). DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. In International Joint Conference on Artificial Intelligence (IJCAI) (CCF-A).
Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu. (2025). GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. In SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (CCF-A).
Sheng Zhang^, Maolin Wang^, Yao Zhao, Chenyi Zhuang, Ruocheng Guo, Xiangyu Zhao et al. (2024). DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. In ACM Conference on Recommender Systems (RecSys) (CCF-B) [Oral]. (^equal contribution)
Maolin Wang^, Sheng Zhang^, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao. (2025). STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. In International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF-A). (^equal contribution)

🎖 Honors and Awards

Master of Science in Data Science Outstanding Research Project Award (2024.11)
Master of Science in Data Science Outstanding Academic Performance Award (2024.11)
Master of Science in Data Science with Distinction (2024.06)
Model Student Scholarship of UESTC for two consecutive years (2020 - 2021)

📖 Educations

2023.09 - 2024.06, M.Sc. in Data Science, Department of Data Science, City University of Hong Kong, Hong Kong SAR, China. Supervisor: Prof. Xiangyu Zhao
2019.09 - 2023.06, B.Sc. in Data Science and Big Data Technology, Department of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China. Supervisor: Prof. Jie Huang

💻 Work Experience

2024.07 - Now, Assistant Engineer, High Magnetic Field Laboratory, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences