Hu, Xiao

21 publications

MIDL 2026 Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities Zheng Zheng, Yuzhi Guo, Xiao Hu, Yuwei Miao, Hehuan Ma, Jean Gao, Junzhou Huang

ICLR 2026 R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning YiFan Zhang, Xingyu Lu, Xiao Hu, Chaoyou Fu, Bin Wen, Tianke Zhang, Changyi Liu, Kaiyu Jiang, Kaibing Chen, Kaiyu Tang, Haojie Ding, Jiankang Chen, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Guorui Zhou, Liang Wang

ICLR 2026 Thyme: Think Beyond Images YiFan Zhang, Xingyu Lu, Shukang Yin, Chaoyou Fu, Wei Chen, Xiao Hu, Bin Wen, Kaiyu Jiang, Changyi Liu, Tianke Zhang, Haonan Fan, Kaibing Chen, Jiankang Chen, Haojie Ding, Kaiyu Tang, Zhang Zhang, Liang Wang, Fan Yang, Tingting Gao, Guorui Zhou

ICML 2025 CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia

ICLR 2025 Data Center Cooling System Optimization Using Offline Reinforcement Learning Xianyuan Zhan, Xiangyu Zhu, Peng Cheng, Xiao Hu, Ziteng He, Hanfei Geng, Jichao Leng, Huiwen Zheng, Chenhui Liu, Tianshun Hong, Yan Liang, Yunxin Liu, Feng Zhao

AAAI 2025 Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation Xiao Hu, Libo Long, Jochen Lang

NeurIPS 2025 Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies Runze Yan, Xun Shen, Akifumi Wachi, Sebastien Gros, Anni Zhao, Xiao Hu

CVPR 2025 Shape and Texture: What Influences Reliable Optical Flow Estimation? Libo Long, Xiao Hu, Jochen Lang

ICML 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICMLW 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

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

ICLR 2024 Query-Policy Misalignment in Preference-Based Reinforcement Learning Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

CHIL 2024 SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals Runze Yan, Cheng Ding, Ran Xiao, Alex Fedorov, Randall J Lee, Fadi Nahab, Xiao Hu

WACV 2024 Temporal Context Enhanced Referring Video Object Segmentation Xiao Hu, Basavaraj Hampiholi, Heiko Neumann, Jochen Lang

AISTATS 2023 Deep Joint Source-Channel Coding with Iterative Source Error Correction Changwoo Lee, Xiao Hu, Hun-Seok Kim

ICLR 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

NeurIPS 2023 On Differentially Private Sampling from Gaussian and Product Distributions Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi

ICMLW 2023 Query-Policy Misalignment in Preference-Based Reinforcement Learning Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

ICCVW 2021 Absolute and Relative Pose Estimation in Refractive Multi View Xiao Hu, François Lauze, Kim Steenstrup Pedersen, Jean Mélou

ECCV 2020 A Large-Scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani

AAAI 2020 A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning Peirong Ma, Xiao Hu