Huo, Jing

20 publications

ICLR 2025 Causal Information Prioritization for Efficient Reinforcement Learning Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao
CVPR 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, Wenbin Li
ICLR 2025 GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao
ICLR 2025 Magnetic Preference Optimization: Achieving Last-Iterate Convergence for Language Model Alignment Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J Su, Yaodong Yang
NeurIPS 2025 Multi-Agent Reinforcement Learning with Communication-Constrained Priors Guang Yang, Tianpei Yang, Jingwen Qiao, Yanqing Wu, Jing Huo, Xingguo Chen, Yang Gao
ICLR 2025 Towards Empowerment Gain Through Causal Structure Learning in Model-Based Reinforcement Learning Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
CVPR 2024 Exploiting Inter-Sample and Inter-Feature Relations in Dataset Distillation Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
ICLR 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
NeurIPS 2024 SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization Zixuan Chen, Ze Ji, Jing Huo, Yang Gao
ICMLW 2024 Towards Empowerment Gain Through Causal Structure Learning in Model-Based RL Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Jing Huo, Yang Gao
CVPR 2023 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao
TMLR 2023 Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
ICCV 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
ICCV 2021 Manifold Alignment for Semantically Aligned Style Transfer Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
IJCAI 2020 Asymmetric Distribution Measure for Few-Shot Learning Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
IJCAI 2020 Biased Feature Learning for Occlusion Invariant Face Recognition Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao
AAAI 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao
IJCAI 2020 Learning Task-Aware Local Representations for Few-Shot Learning Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao
ECCV 2020 Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
AAAI 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo