Luzhi Wang

Luzhi Wang

Hi👋, I’m Luzhi Wang. Now I am an associate professor at Dalian Maritime University. I received my Ph.D. from the Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, under the supervision of Prof. Di Jin. I also supervised by Prof. Shirui Pan (Griffith University) at the TrustAGI Lab. During my Ph.D., I had the opportunity to be a visiting scholar at the NExT++ Research Centre, National University of Singapore, where I was supervised by Prof. Tat-Seng Chua and worked with Prof. Wenjie Wang.

đź“– Educations

  • 2020.09 - 2025.01, Ph.D. Tianjin University (TJU), Tianjin, China.
  • 2023.01 - 2024.01, Visiting Ph.D. Student, National University of Singapore (NUS), Singapore.
  • 2017.09 - 2020.06, M.E. Northeast Normal University (NENU), ChangChun, China.
  • 2013.09 - 2017.06, B.E. Northeast Normal University (NENU), ChangChun, China.

đź“ť Selected Publications

  • “GOODAT: Towards Test-time Graph Out-of-Distribution Detection”. Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan*, Di Jin, Tat-seng Chua. AAAI 2024, Oral, 1.77%.
  • “Contrastive Graph Similarity Networks”. Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan*. Tweb 2024.
  • “A Survey on Fairness-aware Recommender System”. Di Jin (Supervisor), Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan*. Information Fusion 2023, IF: 18.60.
  • “Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation”. Di Jin (Supervisor), Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan. WWW 2023, Oral.
  • “CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning”. Di Jin (Supervisor), Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan*. IJCAI 2022, Long Oral, 3.75%.

🎖 Certifications and Awards

  • National Scholarship Award.
  • Outstanding Student Scholarship Award.

đź’¬ Service Experiences

  • Conference Reviewers: ICML, ICLR, KDD, NeurIPS, AAAI, IJCAI, MM, and etc.
  • Journal Reviewers: TIP, TNNLS, TWEB, TCSVT, TBigData, Pattern Recognition, Neural Networks, Information Science, KAIS, and etc.

đź’» Research Experiences

  • Research Intern, Xinrenxinshi Recommendation Lab.
  • Research Intern, China Electronics Technology Group Corporation.
  • Research Intern, Search and Recommendation Technology Department, Meituan Recommendation Lab.