Yuchen Fang

Yuchen Fang

PhD Student

I am now a PhD student in the School of Computer Science and Engineering of the University of Electronic Science and Technology of China under the advisory of Prof. Kai Zheng. I got my M.E. degree from the Beijing University of Posts and Telecommunications in 2023. My research interests include time series analysis and spatio-temporal data mining.

🔥 News

  • 2024.07:  🎉🎉 One paper is accepted by CIKM 2024.
  • 2024.02:  🎉🎉 One paper is accepted by ICDE 2024.

📝 Publications

  1. Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui#. Advancing Certified Robustness of Explanation via Gradient Quantization. The 33rd ACM International Conference on Information and Knowledge Management. (Accepted, CIKM 2024)
  2. Yuchen Fang, Haiyong Luo#, Fang Zhao#, Poly ZH Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chenxing Wang. CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting. IEEE Transactions on Intelligent Vehicles. (T-IV 2024)
  3. Yuchen Fang, Jiandong Xie, Yan Zhao#, Lu Chen, Yunjun Gao, Kai Zheng#. Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection. The 40th IEEE International Conference on Data Engineering. (ICDE 2024)
  4. Haichao Zhang, Fang Zhao#, Chenxing Wang, Haiyong Luo#, Haoyu Xiong, Yuchen Fang. Knowledge Distillation for Travel Time Estimation. IEEE Transactions on Intelligent Transportation Systems. (T-ITS 2024)
  5. Guangyin Jin, Yuxuan Liang#, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng. Spatio-temporal graph neural networks for predictive learning in urban computing: A survey. IEEE Transactions on Knowledge and Data Engineering. (TKDE 2023)
  6. Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng#. STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. IEEE Transactions on Knowledge and Data Engineering. (TKDE 2023)
  7. Bo Hui, Yuchen Fang+, Tian Xia, Sarp Aykent, Wei-Shinn Ku#. Constrained Market Share Maximization by Signal-Guided Optimization. The 37th AAAI Conference on Artificial Intelligence. (AAAI 2023)
  8. Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao#, Chenxing Wang. Spatio-temporal hierarchical MLP network for traffic forecasting. Information Sciences. (IS 2023)
  9. Yuchen Fang, Yanjun Qin, Haiyong Luo#, Fang Zhao#, Bingbing Xu, Liang Zeng, Chenxing Wang. When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks. The 40th IEEE International Conference on Data Engineering. (ICDE 2023)
  10. Yuchen Fang, Fang Zhao#, Yanjun Qin, Haiyong Luo#, Chenxing Wang. Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. IEEE Transactions on Intelligent Transportation Systems. (T-ITS 2022)
  11. Yanjun Qin, Yuchen Fang+, Haiyong Luo#, Fang Zhao#, Chenxing Wang. Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2022)
  12. Chenxing Wang, Fang Zhao#, Haichao Zhang, Haiyong Luo#, Yanjun Qin, Yuchen Fang. Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. IEEE Transactions on Intelligent Transportation Systems. (T-ITS 2022)
  13. Yanjun Qin, Haiyong Luo, Fang Zhao#, Chenxing Wang, Yuchen Fang. NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition. IEEE Transactions on Vehicular Technology. (TVT 2021)

      Note: # and + indicate the corresponding author and co-first author

📖 Educations

  • 2016.09 - 2020.06, Beijing Forestry University, Bachelor
    • Computer Science and Technology, School of Information
  • 2020.09 - 2023.06, Beijing University of Posts and Telecommunications, Master
    • Software Engineering, School of Computer Science (National Pilot Software Engineering School)
  • 2024.09 - present, University of Electronic Science and Technology of China, Ph.D.
    • Computer Science and Technology, School of Computer Science and Engineering

💻 Internships

  • 2020.09 - 2022.06, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • 2023.07 - 2024.06, Huawei Cloud Database Innovation Lab, Huawei Technologies Co. Ltd., Chengdu, China.

🎖 Honors and Awards

  • The Outstanding Master Thesis of BUPT, 2023
  • National Scholarship, 2022
  • First-class People’s Scholarship, (2020, 2021, 2022)
  • Bronze Medal in the ACM-ICPC Asia-East Continent Final Programming Contest Xi’an Site, 2018

⏳ Professional Services

PC Member & Reviewer

  • 2025: ICLR, CSCW
  • 2024: NeurIPS
  • 2023: WWW

Journal Invited Reviewer

  • Data Mining: TKDE, Information Fusion, Information Sciences
  • Artificial Intelligence: TNNLS, KBS, EAAI, Neurocomputing
  • Interdiscipline: T-ITS