Zhanyu Liu (刘展宇)

Zhanyu Liu (刘展宇)

I am currently a Ph.D. candidate at Shanghai Jiao Tong University, supervised by Prof. Guanjie Zheng. I earned B.Eng. in Computer Science and Technology at Yingcai Honors College, University of Electronic Science and Technology of China, 2021.

My research focuses on data mining and dataset distillation techniques for time series and spatial-temporal data.

📝 Publications

  • Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu. Dataset Condensation for Time Series Classification via Dual Domain Matching. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024). [Paper][Code]

  • Zhanyu Liu*, Chaolv Zeng*, Guanjie Zheng. Graph Data Condensation via Self-expressive Graph Structure Reconstruction. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024). [Paper][Code]

  • Jianrong Ding*, Zhanyu Liu*, Guanjie Zheng, Haiming Jin, Linghe Kong. CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NIPS 2024). [Paper][Code]

  • Zhanyu Liu, Guanjie Zheng, Yanwei Yu. Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting. Preprints. [Paper][Code]

  • Zhanyu Liu, Jianrong Ding, Guanjie Zheng. Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2024 (ECMLPKDD 2024).[Paper][Code]

  • Zhanyu Liu, Guanjie Zheng, Yanwei Yu. Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023). [Paper][Code]

  • Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei. FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2023 (ECMLPKDD 2023). [Paper][Code]

  • Ziyang Su, Zhanyu Liu, Jianrong Ding, Guanjie Zheng. POI-based Traffic Generation via Supervised Contrastive Learning on Reconstructed Graph. 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024)

  • Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Li. Cblab: Scalable Traffic Simulation with Enriched Data Supporting. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023). [Paper][Code]

  • Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian. Fine-grained Attributed Graph Clustering. SIAM International Conference on Data Mining, 2022 (SDM 2022). [Paper][Code]

🎖 Honors and Awards

  • National Scholarship, The Ministry of Education of China. 2024
  • KDD Student Travel Award, 2024
  • National Scholarship, The Ministry of Education of China. 2019
  • Tanglixin Scholarship, 2019

💬 Presentations

  • 2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain
  • 2023 ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK
  • 2023 International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain
  • 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD), Turin, Italy
  • 2023 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, USA

📚 Teaching Assistant

  • CS7346 Algorithm design and analysis for big data (2022,2023)
  • CS4304 Big data algorithm and analysis (2022,2023)
  • CS0501 Data structure (2021,2022)