Chen, Yong

20 publications

JMLR 2025 DisC2o-HD: Distributed Causal Inference with Covariates Shift for Analyzing Real-World High-Dimensional Data Jiayi Tong, Jie Hu, George Hripcsak, Yang Ning, Yong Chen

NeurIPS 2025 FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression Yifei Gao, Yong Chen, Chen Zhang

ICCV 2025 FICGen: Frequency-Inspired Contextual Disentanglement for Layout-Driven Degraded Image Generation Wenzhuang Wang, Yifan Zhao, Mingcan Ma, Ming Liu, Zhonglin Jiang, Yong Chen, Jia Li

AAAI 2025 FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-Based Pixel-Level Data Synthesis Wenzhuang Wang, Mingcan Ma, Yong Chen, Changqun Xia, Zhenbao Liang, Jia Li

CVPR 2025 FreeTimeGS: Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction Yifan Wang, Peishan Yang, Zhen Xu, Jiaming Sun, Zhanhua Zhang, Yong Chen, Hujun Bao, Sida Peng, Xiaowei Zhou

IJCAI 2025 GraphAD: Interaction Scene Graph for End-to-End Autonomous Driving Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Yingzong Liu, Jianhui Mei, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du

CVPR 2025 LiDAR-RT: Gaussian-Based Ray Tracing for Dynamic LiDAR Re-Simulation Chenxu Zhou, Lvchang Fu, Sida Peng, Yunzhi Yan, Zhanhua Zhang, Yong Chen, Jiazhi Xia, Xiaowei Zhou

ICLR 2025 MAP: Low-Compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

ICCV 2025 MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration Zhehui Wu, Yong Chen, Naoto Yokoya, Wei He

ICLRW 2025 Rethinking Decentralized Learning: Towards More Realistic Evaluations with a Metadata-Agnostic Approach Tianyu Zhang, Lu Li, Tongtian Zhu, Suyuchen Wang, Can Wang, Yong Chen

ICML 2025 SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen

ICLR 2024 A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality Huan He, William Hao, Yuanzhe Xi, Yong Chen, Bradley Malin, Joyce Ho

TMLR 2024 A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He

CHIL 2024 From Basic to Extra Features: Hypergraph Transformer Pretrain-Then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, Carl Yang

NeurIPSW 2024 MAP: Model Merging with Amortized Pareto Front Using Limited Computation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ECCV 2024 Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap

AAAI 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen

JMLR 2023 Scalable High-Dimensional Bayesian Varying Coefficient Models with Unknown Within-Subject Covariance Ray Bai, Mary R. Boland, Yong Chen

IJCAI 2020 HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network Rui Liu, Huilin Peng, Yong Chen, Dell Zhang