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

2024.12: 🎉🎉 One paper is accepted by AAAI 2025.
2024.11: 🎉🎉 One paper is accepted by KDD 2025.
2024.09: 🎉🎉 One paper is accepted by NeurIPS 2024.

📝 Publications

Selected Conference Papers

[AAAI 25] Time Series Supplier Allocation via Deep Black-Litterman Model.
Xinke Jiang, Wentao Zhang⁺, Yuchen Fang⁺, Xiaowei Gao^#, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo^#. (CCF-A Oral 600/12957)
[SIGKDD 25] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng^#. (CCF-A)
[NeurIPS 24] RAGraph: A General Retrieval-Augmented Graph Learning Framework.
Xinke Jiang, Rihong Qiu, Yongxin Xu, WentaoZhang, Yichen Zhu, Ruizhe zhang, Yuchen Fang, Xu Chu, Junfeng Zhao^#, Yasha Wang^#. (CCF-A)
[CIKM 24] Advancing Certified Robustness of Explanation via Gradient Quantization.
Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui^#. (CCF-B)
[ICDE 24] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection.
Yuchen Fang, Jiandong Xie, Yan Zhao^#, Lu Chen, Yunjun Gao, Kai Zheng^#. (CCF-A No Revision 19/962)
[AAAI 23] Constrained Market Share Maximization by Signal-Guided Optimization.
Bo Hui, Yuchen Fang⁺, Tian Xia, Sarp Aykent, Wei-Shinn Ku^#. (CCF-A)
[ICDE 23] When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks.
Yuchen Fang, Yanjun Qin, Haiyong Luo^#, Fang Zhao^#, Bingbing Xu, Liang Zeng, Chenxing Wang. (CCF-A)
[SIGIR 22] Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.
Yanjun Qin, Yuchen Fang⁺, Haiyong Luo^#, Fang Zhao^#, Chenxing Wang. (CCF-A Short)

Selected Journal Papers

[T-ITS 25] Cross-transportation-mode Knowledge Transfer for Trajectory Recovery with Meta Learning.
Chenxing Wang, Fang Zhao^#, Haiyong Luo^#, Poly ZH Sun, Yuchen Fang. (CCF-B Q1)
[TMC 24] Towards Effective Transportation Mode-aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency.
Chenxing Wang, Fang Zhao^#, Haiyong Luo^#, Yuchen Fang, Haichao Zhang, Haoyu Xiong. (CCF-A Q1)
[T-IV 24] CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting.
Yuchen Fang, Haiyong Luo^#, Fang Zhao^#, Poly ZH Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chenxing Wang. (Q1)
[T-ITS 24] Knowledge Distillation for Travel Time Estimation.
Haichao Zhang, Fang Zhao^#, Chenxing Wang, Haiyong Luo^#, Haoyu Xiong, Yuchen Fang. (CCF-B Q1)
[TKDE 23] Spatio-temporal graph neural networks for predictive learning in urban computing: A survey.
Guangyin Jin, Yuxuan Liang^#, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng. (CCF-A Q1)
[TKDE 23] STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting.
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng^#. (CCF-A Q1)
[InfSci 23] Spatio-temporal hierarchical MLP network for traffic forecasting.
Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao^#, Chenxing Wang. (CCF-B Q1)
[T-ITS 22] Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.
Yuchen Fang, Fang Zhao^#, Yanjun Qin, Haiyong Luo^#, Chenxing Wang. (CCF-B Q1)
[T-ITS 22] Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
Chenxing Wang, Fang Zhao^#, Haichao Zhang, Haiyong Luo^#, Yanjun Qin, Yuchen Fang. (CCF-B Q1)
[TVT 21] NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition.
Yanjun Qin, Haiyong Luo, Fang Zhao^#, Chenxing Wang, Yuchen Fang. (Q1)

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.
- Spatio-Temporal Data Mining
- Mentor: Haiyong Luo
2023.07 - 2024.06, Huawei Cloud Database Innovation Lab, Huawei Technologies Co. Ltd., Chengdu, China.
- Time Series Analysis
- Mentor: Jiandong Xie

🎖 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

Yuchen Fang