Junge Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 107

Top Venues

Publications

Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games 16 (2) (2024)
Yanchang Fu, Junge Zhang, Dongdong Bai, Lingyun Zhao, Jialu Song, Kaiqi Huang
Expanding the Resolution Boundary of Outcome-Based Imperfect-Recall Abstraction in Games with Ordered Signals. CoRR (2024)
Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. AAAI (2024)
Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, Bolei Zhou
Urban Scene Diffusion through Semantic Occupancy Map. CoRR (2024)
Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang
Contrastive Correlation Preserving Replay for Online Continual Learning. IEEE Trans. Circuits Syst. Video Technol. 34 (1) (2024)
Yurui Chen, Junge Zhang, Ziyang Xie, Wenye Li, Feihu Zhang, Jiachen Lu, Li Zhang
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation. CoRR (2024)
Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang
Position: Foundation Agents as the Paradigm Shift for Decision Making. CoRR (2024)
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. CoRR (2024)
Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling. CoRR (2024)
Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. AAAI (2024)
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS (2024)
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
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI (2024)
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. AAMAS (2024)
Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang
Task-Wise Prompt Query Function for Rehearsal-Free Continual Learning. ICASSP (2024)
Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. AAAI (2024)
Weihang Kong, Zepeng Yu, He Li, Junge Zhang
Cross-modal misalignment-robust feature fusion for crowd counting. Eng. Appl. Artif. Intell. 136 (2024)
Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang
Exemplar-Based Continual Learning via Contrastive Learning. IEEE Trans. Artif. Intell. 5 (7) (2024)
Jiachen Lu, Junge Zhang, Xiatian Zhu, Jianfeng Feng, Tao Xiang, Li Zhang
Softmax-Free Linear Transformers. Int. J. Comput. Vis. 132 (8) (2024)
Xiaoqian Liu, Jianbin Jiao, Junge Zhang
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges. CoRR (2024)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR (2023)
Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM (2023)
Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang
S-NeRF: Neural Radiance Fields for Street Views. CoRR (2023)
Yekun Chai, Qiyue Yin, Junge Zhang
Improved Training Of Mixture-Of-Experts Language GANs. ICASSP (2023)
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR (2023)
Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang
S-NeRF: Neural Radiance Fields for Street Views. ICLR (2023)
Chen Yang, Guangkai Yang, Junge Zhang
Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning. AAMAS (2023)
Xiaoqian Liu, Junge Zhang, Mingyi Zhang, Peipei Yang
Benchmarking Continual Learning from Cognitive Perspectives. CoRR (2023)
Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang
Neural Text Classification by Jointly Learning to Cluster and Align. IJCNN (2023)
Mingyi Zhang, Junge Zhang
Dynamic Equilibrium-Based Continual Learning Model with Disentangled Meta-features. SMC (2023)
Yang Yu, Qiyue Yin, Junge Zhang, Kaiqi Huang
Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning. AAMAS (2023)
Yekun Chai, Qiyue Yin, Junge Zhang
Improved Training of Mixture-of-Experts Language GANs. CoRR (2023)
Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI (2023)
Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning. CoRR (2023)
He Li, Junge Zhang, Weihang Kong, Jienan Shen, Yuguang Shao
CSA-Net: Cross-modal scale-aware attention-aggregated network for RGB-T crowd counting. Expert Syst. Appl. 213 (Part) (2023)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS (2023)
Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang
Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. IJCNN (2023)
Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang
Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. IJCNN (2023)
Weihang Kong, Jienan Shen, He Li, Jiayu Liu, Junge Zhang
Direction-aware attention aggregation for single-stage hazy-weather crowd counting. Expert Syst. Appl. 225 (2023)
Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning. IEEE CAA J. Autom. Sinica 10 (3) (2023)
Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. CoRR (2023)
Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. CoRR (2023)
Pei Xu, Junge Zhang, Kaiqi Huang
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. IJCAI (2023)
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
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR (2023)
Pei Xu, Qiyue Yin, Junge Zhang, Kaiqi Huang
Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. IEEE Trans. Games 14 (4) (2022)
Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang
FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. IJCNN (2022)
Zekai Xu, Mingyi Zhang, Jiayue Hou, Xing Gong, Chuan Wen, Chengjie Wang, Junge Zhang
Delving into Transformer for Incremental Semantic Segmentation. CoRR (2022)
Qibin Zhou, Dongdong Bai, Junge Zhang, Fuqing Duan, Kaiqi Huang
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games. CoRR (2022)
Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. CoRR (2022)
Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Hang Xu, Jianfeng Feng
Softmax-free Linear Transformers. CoRR (2022)
Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang
Offline reinforcement learning with representations for actions. Inf. Sci. 610 (2022)
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR (2022)
Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. IJCNN (2022)
Wei Qing, Zhaofeng He, Junge Zhang, Jian Li, Luzhan Yuan, Wei Wang
Achieving Consensus to Learn an Efficient and Robust Communication via Reinforcement Learning. CogSci (2022)
Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. IJCNN (2022)
Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. AAAI (2021)
Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang
Counter-Contrastive Learning for Language GANs. EMNLP (Findings) (2021)
Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
SOFT: Softmax-free Transformer with Linear Complexity. CoRR (2021)
Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. ICIP (2021)
Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. CoRR (2021)
Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
SOFT: Softmax-free Transformer with Linear Complexity. NeurIPS (2021)
Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
Learning Macromanagement in Starcraft by Deep Reinforcement Learning. Sensors 21 (10) (2021)
Debang Li, Junge Zhang, Kaiqi Huang
Universal adversarial perturbations against object detection. Pattern Recognit. 110 (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. NeurIPS (2021)
Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li
Consistency Regularization for Ensemble Model Based Reinforcement Learning. PRICAI (3) (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. CoRR (2021)
Meng Yao, Qiyue Yin, Jun Yang, Tongtong Yu, Shengqi Shen, Junge Zhang, Bin Liang, Kaiqi Huang
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. CoRR (2021)
Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang
Composing Good Shots by Exploiting Mutual Relations. CVPR (2020)
Wei Cheng, Qiyue Yin, Junge Zhang
Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network. ICCCS (2020)
Debang Li, Junge Zhang, Kaiqi Huang
Learning to Learn Cropping Models for Different Aspect Ratio Requirements. CVPR (2020)
Xiyao Wang, Junge Zhang, Wenzhen Huang, Qiyue Yin
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. CoRR (2020)
Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang
Mixed Supervised Object Detection with Robust Objectness Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. CoRR (2019)
Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping. IEEE Trans. Image Process. 28 (10) (2019)
Huikai Wu, Junge Zhang, Kaiqi Huang
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. ICCV (2019)
Zhuo Wang, Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang
Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining. PRCV (2) (2019)
Wenzhen Huang, Junge Zhang, Kaiqi Huang
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. AAAI (2019)
Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao
Transductive Zero-Shot Learning with Visual Structure Constraint. CoRR (2019)
Ziyu Wan, Yan Li, Min Yang, Junge Zhang
Transductive Zero-Shot Learning via Visual Center Adaptation. AAAI (2019)
Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection. CoRR (2019)
Huikai Wu, Junge Zhang, Kaiqi Huang
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. CoRR (2019)
Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao
Transductive Zero-Shot Learning with Visual Structure Constraint. NeurIPS (2019)
Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li
Multi-view clustering via joint feature selection and partially constrained cluster label learning. Pattern Recognit. 93 (2019)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
GP-GAN: Towards Realistic High-Resolution Image Blending. ACM Multimedia (2019)
Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. MICCAI (6) (2019)
Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang
Few-Shot Image Recognition With Knowledge Transfer. ICCV (2019)
Huikai Wu, Junge Zhang, Kaiqi Huang
Point Cloud Super Resolution with Adversarial Residual Graph Networks. CoRR (2019)
Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang
Discriminative Learning of Latent Features for Zero-Shot Recognition. CoRR (2018)
Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang
Mixed Supervised Object Detection with Robust Objectness Transfer. CoRR (2018)
Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. CVPR (2018)
Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan
Deep Semantic Structural Constraints for Zero-Shot Learning. AAAI (2018)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
Fast End-to-End Trainable Guided Filter. CoRR (2018)
Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang
Discriminative Learning of Latent Features for Zero-Shot Recognition. CVPR (2018)
Xue Han, Hongping Yan, Junge Zhang, Lingfeng Wang
ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model. ICANN (2) (2018)
Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan
Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification. AAAI (2018)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
Fast End-to-End Trainable Guided Filter. CVPR (2018)
Songwen Pei, Junge Zhang, Naixue Xiong, Myoung-Seo Kim, Jean-Luc Gaudiot
Energy efficiency of heterogeneous multicore system based on the enhanced Amdahl's law. Int. J. High Perform. Comput. Netw. 12 (3) (2018)
Junge Zhang, Kaiqi Huang, Tieniu Tan, Zhaoxiang Zhang
Local structured representation for generic object detection. Frontiers Comput. Sci. 11 (4) (2017)
Rongliang Cheng, Junge Zhang, Peipei Yang, Kangwei Liu, Shujun Zhang
CNet: Context-Aware Network for Semantic Segmentation. ACPR (2017)
Lianrui Fu, Junge Zhang, Kaiqi Huang
ORGM: Occlusion Relational Graphical Model for Human Pose Estimation. IEEE Trans. Image Process. 26 (2) (2017)
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
GP-GAN: Towards Realistic High-Resolution Image Blending. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Junge Zhang