| 2026 | AAAI | Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning. | Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao |
| 2026 | AAAI | ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation. | Zixuan Chen, Chongkai Gao, Lin Shao, Jieqi Shi, Jing Huo, Yang Gao |
| 2026 | ACL | MDTeamGPT: Mitigating Context Collapse and Enabling Self-Evolution in Medical Multi-Agent Reasoning. | Kai Chen, Xinfeng Li, Tianpei Yang, Hewei Wang, Guang Yang, Jing Huo, Yang Gao |
| 2026 | ACL | Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning. | Siyuan Gan, Jiaheng Liu, Boyan Wang, Tianpei Yang, Runqing Miao, Yuyao Zhang, Fanyu Meng, Junlan Feng, Linjian Meng, Jing Huo, Yang Gao |
| 2025 | ACL | CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning. | Xikang Guan, Zheng Gu, Jing Huo, Tianyu Ding, Yang Gao |
| 2025 | CVPR | 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 |
| 2025 | ECAI | Enhancing Trust-Region Bayesian Optimization via Newton Methods. | Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen |
| 2025 | ICASSP | A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models. | Kai Chen, Ji Qi, Jing Huo, Pinzhuo Tian, Fanyu Meng, Xi Yang, Yang Gao |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Causal Information Prioritization for Efficient Reinforcement Learning. | Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | IJCNN | HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization. | Yiyu Chen, Hongye Cao, Quanlin Chen, Jing Huo, Dong Li, Xu He, Yang Gao |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | Dynamic Replay Training for Class-Incremental Learning. | Yan Yang, Dongdong Ren, Chenglei Peng, Jing Huo, Wenbin Li, Yang Gao |
| 2024 | ICLR | InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. | Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao |
| 2024 | ISPA | Privacy-preserving scheme of cotton supply chain based on blockchain. | Linlin Zhang, Wenwen Li, Jing Huo, Xuehua Bi, Kai Zhao |
| 2024 | PPSN | Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. | Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He |
| 2023 | CVPR | Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. | Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao |
| 2023 | ECAI | Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. | Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao |
| 2021 | ICCV | LoFGAN: Fusing Local Representations for Few-shot Image Generation. | Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao |
| 2021 | ICCV | Manifold Alignment for Semantically Aligned Style Transfer. | Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao |
| 2020 | AAAI | Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. | Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao |
| 2020 | ECCV | Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. | Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao |
| 2020 | IJCAI | Learning Task-aware Local Representations for Few-shot Learning. | Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao |
| 2020 | IJCAI | Asymmetric Distribution Measure for Few-shot Learning. | Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo |
| 2020 | IJCAI | Biased Feature Learning for Occlusion Invariant Face Recognition. | Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao |
| 2020 | IJCNN | Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. | Haodi Hou, Jing Huo, Yang Gao |
| 2019 | AAAI | Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. | Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo |
| 2019 | CVPR | Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. | Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo |
| 2019 | ICCV | A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. | Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao |
| 2019 | PAKDD | NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric. | Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi |
| 2019 | PRICAI | MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. | Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen |
| 2018 | ACCV | A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. | Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo |
| 2018 | BMVC | WebCaricature: a benchmark for caricature recognition. | Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin |
| 2018 | PRICAI | Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. | Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao |
| 2014 | IDEAL | A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. | Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi |
| 2012 | IDEAL | Abnormal Event Detection via Multi-Instance Dictionary Learning. | Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin |
| 2010 | CIS | A Multi-objective Genetic Algorithm Approach Based on the Uniform Design Metmod. | Xiaoshu Ma, Jing Huo, Qun Wang |