Fang, Yuchen

8 publications

ICML 2025 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

NeurIPS 2025 STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization Haoyu Zhang, WentaoZhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang

AAAI 2025 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

NeurIPS 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

AAAI 2023 Constrained Market Share Maximization by Signal-Guided Optimization Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku

NeurIPS 2023 ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li

AAAI 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li

AAAI 2021 Universal Trading for Order Execution with Oracle Policy Distillation Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu