Chen, Zhichao

9 publications

ICLR 2025 FreDF: Learning to Forecast in the Frequency Domain Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao

NeurIPS 2025 Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Hao Wang, Zhengnan Li, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin

IJCAI 2025 Optimal Distributed Training with Co-Adaptive Data Parallelism in Heterogeneous Environments Lifang Chen, Zhichao Chen, Liqi Yan, Yanyu Cheng, Fangli Guan, Pan Li

ICLR 2025 Optimal Transport for Time Series Imputation Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen

NeurIPS 2025 Time-O1: Time-Series Forecasting Needs Transformed Label Alignment Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin

ICML 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

NeurIPS 2024 Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang

NeurIPS 2023 Optimal Transport for Treatment Effect Estimation Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

CVPRW 2008 Visual Detection of Lintel-Occluded Doors from a Single Image Zhichao Chen, Stanley T. Birchfield