I am currently a 3rd year Ph.D. candidate in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC), advised by Prof. Kai Zheng. I am also a Frontier Tech Intern at ByteDance and am actively seeking full-time opportunities.

My research interests lie in Efficient AI and Agentic AI. Please feel free to contact me via email at fyclmiss@gmail.com or WeChat at HiYc_21.

🔥 News

• 2026.05:  🎉🎉 One paper is accepted by ICML 2026.
• 2026.04:  🎉🎉 One paper is accepted by SIGIR 2026.
• 2026.01:  🎉🎉 One paper is accepted by WWW 2026.

📝 Publications

Selected Conference Papers

1. [ICML 26] ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence.
   Shiyu Wang, Juntong Ni, Ziyi Zhang, Baichuan Mo, Xinyue Zhong, Chengxin Wang, Yuchen Fang^#, Zhou Ye, Yang Xiang. (CCF-A Oral 168/23918)
2. [SIGIR 26] WeSEAL: Well-calibrated Search for Eliminating Attention-sink Leakage.
   Juyuan Wang, Chenxing Wang, Aolin Li, Huiyun Hu, Haijun Wu, Yuchen Fang, Jin Xu, Dongliang Liao. (CCF-A)
3. [WWW 26] Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective.
   Yuchen Fang, Shiyu Wang, Yuxuan Liang, Zhou Ye, Yang Xiang, Yan Zhao, Kai Zheng. (CCF-A Oral 300/3370)
4. [AAAI 26] Task-Aware Retrieval Augmentation for Dynamic Recommendation.
   Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun. (CCF-A)
5. [AAAI 26] Adaptive Frequency Pathways for Spatiotemporal Forecasting.
   Yanjun Qin⁺, Yuchen Fang⁺, Xinke Jiang, Hao Miao, Xiaoming Tao. (CCF-A)
6. [NeurIPS 25] STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization.
   Haoyu Zhang, Wentao Zhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang. (CCF-A)
7. [ACL 25] TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems.
   Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, WentaoZhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang. (CCF-A)
8. [ICML 25] Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation.
   Rihong Qiu⁺, Xinke Jiang⁺, Yuchen Fang⁺, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang. (CCF-A)
9. [ICDE 25] Optimizing Multi-Center Collaboration for Task Assignment in Spatial Crowdsourcing.
   Ximu Zeng, Xinglin Jiang, Liwei Deng, Yuchen Fang, Yan Zhao, Kai Zheng. (CCF-A)
10. [ICDE 25] Towards Accurate Distance Estimation for Distribution-Aware $c$-ANN Search.
    Liwei Deng, Penghao Chen, Ximu Zeng, Yuchen Fang, Jin Chen, Yan Zhao. (CCF-A)
11. [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)
12. [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)
13. [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)
14. [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)
15. [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)
16. [AAAI 23] Constrained Market Share Maximization by Signal-Guided Optimization.
    Bo Hui⁺, Yuchen Fang⁺, Tian Xia, Sarp Aykent, Wei-Shinn Ku. (CCF-A)
17. [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)
18. [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

1. [TKDE 26] Unraveling spatio-temporal foundation models via the pipeline lens: A comprehensive review.
   Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao^#, Torben Bach Pedersen, Christian S Jensen, Xiaofang Zhou, Kai Zheng. (CCF-A Q1)
2. [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)
3. [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)
4. [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)
5. [T-ITS 24] Knowledge Distillation for Travel Time Estimation.
   Haichao Zhang, Fang Zhao, Chenxing Wang, Haiyong Luo, Haoyu Xiong, Yuchen Fang. (CCF-B Q1)
6. [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)
7. [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)
8. [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)
9. [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)
10. [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)
11. [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
• 2023.07 - 2024.06, Huawei Cloud Database Innovation Lab, Huawei Technologies Co. Ltd., Chengdu, China.
  • Time Series Analysis
• 2026.01 - 2026.06, Qingyun Program, Weixin Group, Tencent, Guangzhou, China.
  • Generative Recommendation
• 2026.07 - present, Frontier Tech Program, TikTok Shop, ByteDance, Hangzhou, China.
  • World Model

🎖 Honors and Awards

• The Outstanding Master Thesis of BUPT, 2023
• National Scholarship, 2022
• First-class People’s Scholarship, (2020, 2021, 2022, 2025)
• Bronze Medal in the ACM-ICPC Asia-East Continent Final Programming Contest Xi’an Site, 2018

⏳ Professional Services

PC Member & Reviewer

• 2027: SIGKDD, AAAI
• 2026: ICML, NeurIPS, SIGKDD, WWW, ICLR, SIGIR, AAAI, IJCAI, ACM MM, WSDM, CIKM, ECML, AISTATS, PAKDD, IJCNN
• 2025: ICML, NeurIPS, SIGKDD, ICLR, SIGIR, CSCW, IJCAI (SPC), ACM MM, ECAI, AISTATS
• 2024: NeurIPS
• 2023: WWW

Journal Invited Reviewer

• Data Mining: TKDE, TMC, TKDD, Inf.Fus., Inf.Sci., KBS, ESWA
• Artificial Intelligence: TNNLS, PR, Neu.Net., NeuComp, EAAI
• Interdiscipline: T-ITS, TR-C, TII, JTTE, Sci.Rep.