Education

• Sept. 2019 – Sept. 2024, PhD @ Data Driven Software Technology Lab, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China 200240
  supervised by Prof. Yanyan Shen.

• Sept. 2015 – July 2019, Bachelor of Engineering at Shanghai Jiao Tong University.

Work experience

• Oct. 2024 – Present: Algorithm Researcher & Joint Postdoctoral Researcher
  • Alibaba DAMO Academy, Foundation Intelligence Center, focusing on research of multi-modal LLMs, supervised by Prof. Deli Zhao.
  • Joint Postdoc at Fudan University, supervised by Prof. Weihua Zhang.
• July 2023 – Sept. 2024: Research Intern
  • Meituan, supervised by Prof. Yichun Li.
• Dec. 2021 – Dec. 2022: Research Intern
  • Tencent, supervised by Zibin Zhang and Kangyi Lin.

News

• 2023.03: Our paper “Incremental Learning for Multi-interest Sequential Recommendation” received the
  ICDE 2023 Best Paper Award (top 1)!

Research interest

I’m interested in developing efficient models for recommendation systems (e.g., CTR prediction and sequential recommendation) and improving the generalization ability of models in incremental scenarios. Recently, I focus on multi-modal large models and their applications.

Publications

Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection

Zhikai Wang, Yanyan Shen, et al., in CIKM 2024.

A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation

Zhikai Wang, Yanyan Shen. TKDE.

Incremental Learning for Multi-interest Sequential Recommendation

Zhikai Wang, Yanyan Shen. in ICDE 2023. best paper award (top 1).

Feature Staleness Aware Incremental Learning for CTR prediction

Zhikai Wang, Yanyan Shen, Zibin Zhang, and Kangyi Lin. in IJCAI 2023.

Contrastive Learning for Sequential Recommendation: A Survey

Zhikai Wang, Yanyan Shen. (under review)

Time-aware Multi-interest Capsule Network for Sequential Recommendation

Zhikai Wang, Yanyan Shen. in SDM 2022.