Shen, Hao

19 publications

NeurIPS 2025 An Analysis of Causal Effect Estimation Using Outcome Invariant Data Augmentation Uzair Akbar, Niki Kilbertus, Hao Shen, Krikamol Muandet, Bo Dai

IJCAI 2025 Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin

AISTATS 2025 Multi-Agent Credit Assignment with Pretrained Language Models Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha

CVPR 2024 A Semi-Supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, Hao Shen

AAAI 2023 Adaptive Dynamic Filtering Network for Image Denoising Hao Shen, Zhong-Qiu Zhao, Wandi Zhang

WACV 2023 Couplformer: Rethinking Vision Transformer with Coupling Attention Hai Lan, Xihao Wang, Hao Shen, Peidong Liang, Xian Wei

NeurIPSW 2023 Symmetry-Based Learning of Radiance Fields for Rigid Objects Zhiwei Han, Stefan Matthes, Hao Shen, Yuanting Liu

NeurIPS 2023 Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes, Zhiwei Han, Hao Shen

CVPR 2023 UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, Tengyu Liu, Li Yi, He Wang

CVPR 2022 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu

CVPR 2022 HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, Li Yi

ICLRW 2022 Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations Hao Shen, Weikang Wan, He Wang

CVPR 2021 End-to-End Video Instance Segmentation with Transformers Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia

NeurIPS 2021 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian

AAAI 2020 A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, Tao Mei

CoRL 2020 Attentional Separation-and-Aggregation Network for Self-Supervised Depth-Pose Learning in Dynamic Scenes Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang

ICLR 2017 A Smooth Optimisation Perspective on Training Feedforward Neural Networks Hao Shen

CVPR 2016 Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations Xian Wei, Hao Shen, Martin Kleinsteuber

AISTATS 2007 Fast Kernel ICA Using an Approximate Newton Method Hao Shen, Stefanie Jegelka, Arthur Gretton