| 2026 | AAAI | Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs. | Jing Cui, Yufei Han, Jianbin Jiao, Junge Zhang |
| 2026 | ACL | Calibration-Aware Policy Optimization for Reasoning LLMs. | Ziqi Wang, Xingzhou Lou, Meiqi Wu, Zhengqi Wen, Junge Zhang |
| 2025 | AAAI | Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling. | Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang |
| 2025 | ACL | EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning. | Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma, Aobo Kong, Fei Huang, Jianbin Jiao, Junge Zhang |
| 2025 | CVPR | IDEA-Bench: How Far are Generative Models from Professional Designing? | Chen Liang, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu |
| 2025 | ICCV | Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes. | Sarosij Bose, Arindam Dutta, Sayak Nag, Junge Zhang, Jiachen Li, Konstantinos Karydis, Amit K. Roy-Chowdhury |
| 2025 | WACV | Distribution Optimization Under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation. | Liang Chen, Weihua Chen, Xin Zhao, Junyan Wang, Lijun Cao, Junge Zhang |
| 2024 | AAAI | BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. | Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang |
| 2024 | AAAI | TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. | Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du |
| 2024 | AAAI | ProAgent: Building Proactive Cooperative Agents with Large Language Models. | Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang |
| 2024 | AAAI | NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. | Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang |
| 2024 | ECCV | Information Bottleneck Based Data Correction in Continual Learning. | Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang |
| 2024 | ICASSP | Task-Wise Prompt Query Function for Rehearsal-Free Continual Learning. | Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang |
| 2024 | ICML | Position: Foundation Agents as the Paradigm Shift for Decision Making. | Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang |
| 2024 | ICONIP | Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent. | Zekeng Zeng, Youzhi Zhang, Peipei Yang, Mingyi Zhang, Junge Zhang |
| 2024 | IJCAI | ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. | Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang |
| 2024 | IJCAI | Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. | Pei Xu, Junge Zhang, Kaiqi Huang |
| 2023 | AAAI | Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. | Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang |
| 2023 | CIKM | Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. | Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li |
| 2023 | ICASSP | Improved Training Of Mixture-Of-Experts Language GANs. | Yekun Chai, Qiyue Yin, Junge Zhang |
| 2023 | ICLR | S-NeRF: Neural Radiance Fields for Street Views. | Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang |
| 2023 | IJCAI | Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. | Pei Xu, Junge Zhang, Kaiqi Huang |
| 2023 | IJCNN | Neural Text Classification by Jointly Learning to Cluster and Align. | Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2023 | IJCNN | Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. | Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang |
| 2023 | IJCNN | Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. | Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang |
| 2023 | SMC | Dynamic Equilibrium-Based Continual Learning Model with Disentangled Meta-features. | Mingyi Zhang, Junge Zhang |
| 2022 | CogSci | Achieving Consensus to Learn an Efficient and Robust Communication via Reinforcement Learning. | Wei Qing, Zhaofeng He, Junge Zhang, Jian Li, Luzhan Yuan, Wei Wang |
| 2022 | IJCNN | Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. | Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang |
| 2022 | IJCNN | RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. | Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang |
| 2022 | IJCNN | FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. | Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang |
| 2021 | AAAI | Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. | Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang |
| 2021 | EMNLP | Counter-Contrastive Learning for Language GANs. | Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2021 | ICIP | CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. | Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu |
| 2021 | PRICAI | Consistency Regularization for Ensemble Model Based Reinforcement Learning. | Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li |
| 2020 | CVPR | Composing Good Shots by Exploiting Mutual Relations. | Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang |
| 2020 | CVPR | Learning to Learn Cropping Models for Different Aspect Ratio Requirements. | Debang Li, Junge Zhang, Kaiqi Huang |
| 2019 | AAAI | Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. | Wenzhen Huang, Junge Zhang, Kaiqi Huang |
| 2019 | AAAI | Transductive Zero-Shot Learning via Visual Center Adaptation. | Ziyu Wan, Yan Li, Min Yang, Junge Zhang |
| 2019 | ICCV | Few-Shot Image Recognition With Knowledge Transfer. | Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang |
| 2019 | ICCV | SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. | Huikai Wu, Junge Zhang, Kaiqi Huang |
| 2019 | MICCAI | MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. | Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu |
| 2018 | AAAI | Deep Semantic Structural Constraints for Zero-Shot Learning. | Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan |
| 2018 | AAAI | DF | Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan |
| 2018 | CVPR | A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. | Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang |
| 2018 | CVPR | Discriminative Learning of Latent Features for Zero-Shot Recognition. | Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang |
| 2018 | CVPR | Fast End-to-End Trainable Guided Filter. | Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang |
| 2018 | ICANN | ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model. | Xue Han, Hongping Yan, Junge Zhang, Lingfeng Wang |
| 2017 | ICIP | Encyclopedia enhanced semantic embedding for zero-shot learning. | Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan |
| 2017 | ICIP | Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation. | Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan |
| 2016 | IJCAI | FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs. | Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang |
| 2015 | CVPR | GRSA: Generalized range swap algorithm for the efficient optimization of MRFs. | Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang |
| 2015 | ICCV | Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation. | Lianrui Fu, Junge Zhang, Kaiqi Huang |
| 2015 | ICIP | Context aware model for articulated human pose estimation. | Lianrui Fu, Junge Zhang, Kaiqi Huang |
| 2014 | CVPR | Deformable Object Matching via Deformation Decomposition Based 2D Label MRF. | Kangwei Liu, Junge Zhang, Kaiqi Huang, Tieniu Tan |
| 2014 | ICPR | Improved Optimization Based on Graph Cuts for Discrete Energy Minimization. | Kangwei Liu, Junge Zhang, Kaiqi Huang |
| 2014 | ICPR | Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification. | Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang |
| 2014 | ICPR | Robust Object Recognition via Visual Pathway Feedback. | Chong Wang, Junge Zhang, Peipei Yang, Kaiqi Huang |
| 2013 | CIARP | Recent Progress on Object Classification and Detection. | Tieniu Tan, Yongzhen Huang, Junge Zhang |
| 2013 | ICONIP | Exploring the Power of Kernel in Feature Representation for Object Categorization. | Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang |
| 2012 | ACCV | Data Decomposition and Spatial Mixture Modeling for Part Based Model. | Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu, Tieniu Tan |
| 2012 | AVSS | Interest Point Selection with Spatio-temporal Context for Realistic Action Recognition. | Yanhu Shan, Zhang Zhang, Junge Zhang, Kaiqi Huang, Na Wu, Oh Se Hyun |
| 2012 | ICPR | Semantic windows mining in sliding window based object detection. | Junge Zhang, Xin Zhao, Yongzhen Huang, Kaiqi Huang, Tieniu Tan |
| 2011 | CVPR | Boosted local structured HOG-LBP for object localization. | Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan |
| 2011 | ICIP | Robust view transformation model for gait recognition. | Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan |