Junge Zhang - RankMe

157 papers A* 34A 8B 18Misc 2Journal 77Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs. AAAI Jing Cui, Yufei Han, Jianbin Jiao, Junge Zhang
2026	J	`jnl`	RainbowArena: A multi-agent toolkit for reinforcement learning and large language models in tabletop games. Knowl. Based Syst. Yingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He
2025	J	`jnl`	Agentic Reinforcement Learning with Implicit Step Rewards. CoRR Xiaoqian Liu, Ke Wang, Yuchuan Wu, Fei Huang, Yongbin Li, Junge Zhang, Jianbin Jiao
2025	A	`conf`	Distribution Optimization Under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation. WACV Liang Chen, Weihua Chen, Xin Zhao, Junyan Wang, Lijun Cao, Junge Zhang
2025	—	`conf`	EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning. ACL (1) Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma, Aobo Kong, Fei Huang, Jianbin Jiao, Junge Zhang
2025	J	`jnl`	Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation. CoRR Chenxu Wang, Yonggang Jin, Cheng Hu, Youpeng Zhao, Zipeng Dai, Jian Zhao, Shiyu Huang, Liuyu Xiang, Junge Zhang, Zhaofeng He
2025	J	`jnl`	Generalizable agent modeling for agent collaboration-competition adaptation with multi-retrieval and dynamic generation. Neurocomputing Chenxu Wang, Yonggang Jin, Cheng Hu, Youpeng Zhao, Zipeng Dai, Jian Zhao, Liuyu Xiang, Junge Zhang, Zhaofeng He
2025	J	`jnl`	Generative AI for Autonomous Driving: Frontiers and Opportunities. CoRR Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025	A*	`conf`	IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR Chen Liang, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu
2025	J	`jnl`	Learning Individual Potential-Based Rewards in Multiagent Reinforcement Learning. IEEE Trans. Games Chen Yang, Pei Xu, Junge Zhang
2025	J	`jnl`	Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs. CoRR Jing Cui, Yufei Han, Jianbin Jiao, Junge Zhang
2025	A	`conf`	RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games. AAMAS Yingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He
2025	J	`jnl`	Relation-Aware Learning for Multitask Multiagent Cooperative Games. IEEE Trans. Games Yang Yu, Likun Yang, Zhourui Guo, Yongjian Ren, Qiyue Yin, Junge Zhang, Kaiqi Huang
2025	J	`jnl`	Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. Int. J. Comput. Vis. Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong
2025	J	`jnl`	S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation. IEEE Trans. Pattern Anal. Mach. Intell. Yurui Chen, Junge Zhang, Ziyang Xie, Wenye Li, Feihu Zhang, Jiachen Lu, Li Zhang
2025	A*	`conf`	Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling. AAAI Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
2025	J	`jnl`	Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes. CoRR Sarosij Bose, Arindam Dutta, Sayak Nag, Junge Zhang, Jiachen Li, Konstantinos Karydis, Amit K. Roy-Chowdhury
2025	J	`jnl`	VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan
2024	A*	`conf`	ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. IJCAI Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang
2024	A*	`conf`	BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. AAAI Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang
2024	—	`conf`	Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent. ICONIP (4) Zekeng Zeng, Youzhi Zhang, Peipei Yang, Mingyi Zhang, Junge Zhang
2024	J	`jnl`	Contrastive Correlation Preserving Replay for Online Continual Learning. IEEE Trans. Circuits Syst. Video Technol. Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang
2024	J	`jnl`	Cross-modal misalignment-robust feature fusion for crowd counting. Eng. Appl. Artif. Intell. Weihang Kong, Zepeng Yu, He Li, Junge Zhang
2024	J	`jnl`	Data-efficient model-based reinforcement learning with trajectory discrimination. Complex Intell. Syst. Tuo Qu, Fuqing Duan, Junge Zhang, Bo Zhao, Wenzhen Huang
2024	J	`jnl`	Exemplar-Based Continual Learning via Contrastive Learning. IEEE Trans. Artif. Intell. Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang
2024	J	`jnl`	Expanding the Resolution Boundary of Outcome-Based Imperfect-Recall Abstraction in Games with Ordered Signals. CoRR Yanchang Fu, Junge Zhang, Dongdong Bai, Lingyun Zhao, Jialu Song, Kaiqi Huang
2024	J	`jnl`	IDEA-Bench: How Far are Generative Models from Professional Designing? CoRR Liang Chen, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu
2024	—	`conf`	Information Bottleneck Based Data Correction in Continual Learning. ECCV (87) Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang
2024	J	`jnl`	Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
2024	A*	`conf`	NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. AAAI Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang
2024	A	`conf`	PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2024	A*	`conf`	Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. IJCAI Pei Xu, Junge Zhang, Kaiqi Huang
2024	A*	`conf`	Position: Foundation Agents as the Paradigm Shift for Decision Making. ICML Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang
2024	J	`jnl`	Position: Foundation Agents as the Paradigm Shift for Decision Making. CoRR Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang
2024	A*	`conf`	ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 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	J	`jnl`	Recent Advances in Attack and Defense Approaches of Large Language Models. CoRR Jing Cui, Yishi Xu, Zhewei Huang, Shuchang Zhou, Jianbin Jiao, Junge Zhang
2024	J	`jnl`	Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. CoRR Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong
2024	J	`jnl`	S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation. CoRR Yurui Chen, Junge Zhang, Ziyang Xie, Wenye Li, Feihu Zhang, Jiachen Lu, Li Zhang
2024	J	`jnl`	SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling. CoRR Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
2024	A	`conf`	Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. AAMAS Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024	J	`jnl`	Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. CoRR Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024	J	`jnl`	Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges. CoRR Xiaoqian Liu, Jianbin Jiao, Junge Zhang
2024	J	`jnl`	Softmax-Free Linear Transformers. Int. J. Comput. Vis. Jiachen Lu, Junge Zhang, Xiatian Zhu, Jianfeng Feng, Tao Xiang, Li Zhang
2024	A*	`conf`	TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. AAAI Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
2024	Misc	`conf`	Task-Wise Prompt Query Function for Rehearsal-Free Continual Learning. ICASSP Shuai Chen, Mingyi Zhang, Junge Zhang, Kaiqi Huang
2024	J	`jnl`	Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown. CoRR Xingzhou Lou, Dong Yan, Wei Shen, Yuzi Yan, Jian Xie, Junge Zhang
2024	J	`jnl`	Urban Scene Diffusion through Semantic Occupancy Map. CoRR Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, Bolei Zhou
2023	J	`jnl`	BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning. CoRR Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang
2023	J	`jnl`	Benchmarking Continual Learning from Cognitive Perspectives. CoRR Xiaoqian Liu, Junge Zhang, Mingyi Zhang, Peipei Yang
2023	J	`jnl`	CSA-Net: Cross-modal scale-aware attention-aggregated network for RGB-T crowd counting. Expert Syst. Appl. He Li, Junge Zhang, Weihang Kong, Jienan Shen, Yuguang Shao
2023	J	`jnl`	Direction-aware attention aggregation for single-stage hazy-weather crowd counting. Expert Syst. Appl. Weihang Kong, Jienan Shen, He Li, Jiayu Liu, Junge Zhang
2023	B	`conf`	Dynamic Equilibrium-Based Continual Learning Model with Disentangled Meta-features. SMC Mingyi Zhang, Junge Zhang
2023	B	`conf`	Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. IJCNN Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang
2023	A*	`conf`	Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. IJCAI Pei Xu, Junge Zhang, Kaiqi Huang
2023	Misc	`conf`	Improved Training Of Mixture-Of-Experts Language GANs. ICASSP Yekun Chai, Qiyue Yin, Junge Zhang
2023	J	`jnl`	Improved Training of Mixture-of-Experts Language GANs. CoRR Yekun Chai, Qiyue Yin, Junge Zhang
2023	A	`conf`	Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning. AAMAS Chen Yang, Guangkai Yang, Junge Zhang
2023	J	`jnl`	NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. CoRR Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang
2023	B	`conf`	Neural Text Classification by Jointly Learning to Cluster and Align. IJCNN Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang
2023	J	`jnl`	PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2023	A	`conf`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	J	`jnl`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	A	`conf`	Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning. AAMAS Yang Yu, Qiyue Yin, Junge Zhang, Kaiqi Huang
2023	J	`jnl`	ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR 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
2023	A*	`conf`	S-NeRF: Neural Radiance Fields for Street Views. ICLR Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang
2023	J	`jnl`	S-NeRF: Neural Radiance Fields for Street Views. CoRR Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang
2023	A	`conf`	Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li
2023	J	`jnl`	Squeezing More Past Knowledge for Online Class-Incremental Continual Learning. IEEE CAA J. Autom. Sinica Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang
2023	A*	`conf`	Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang
2023	J	`jnl`	TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. CoRR Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
2023	B	`conf`	Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. IJCNN Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang
2022	B	`conf`	Achieving Consensus to Learn an Efficient and Robust Communication via Reinforcement Learning. CogSci Wei Qing, Zhaofeng He, Junge Zhang, Jian Li, Luzhan Yuan, Wei Wang
2022	J	`jnl`	DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games. CoRR Qibin Zhou, Dongdong Bai, Junge Zhang, Fuqing Duan, Kaiqi Huang
2022	J	`jnl`	Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. IEEE Trans. Games Pei Xu, Qiyue Yin, Junge Zhang, Kaiqi Huang
2022	J	`jnl`	Delving into Transformer for Incremental Semantic Segmentation. CoRR Zekai Xu, Mingyi Zhang, Jiayue Hou, Xing Gong, Chuan Wen, Chengjie Wang, Junge Zhang
2022	B	`conf`	FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. IJCNN Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang
2022	B	`conf`	Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. IJCNN Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
2022	J	`jnl`	Offline reinforcement learning with representations for actions. Inf. Sci. Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang
2022	B	`conf`	RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. IJCNN Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
2022	J	`jnl`	RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. CoRR Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
2022	J	`jnl`	Softmax-free Linear Transformers. CoRR Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Hang Xu, Jianfeng Feng
2022	J	`jnl`	Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
2021	B	`conf`	CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. ICIP Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu
2021	—	`conf`	Consistency Regularization for Ensemble Model Based Reinforcement Learning. PRICAI (3) Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li
2021	A*	`conf`	Coordinated Proximal Policy Optimization. NeurIPS Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
2021	J	`jnl`	Coordinated Proximal Policy Optimization. CoRR Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
2021	—	`conf`	Counter-Contrastive Learning for Language GANs. EMNLP (Findings) Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang
2021	J	`jnl`	Learning Macromanagement in Starcraft by Deep Reinforcement Learning. Sensors Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
2021	A*	`conf`	Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. AAAI Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
2021	J	`jnl`	Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. CoRR Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang
2021	A*	`conf`	SOFT: Softmax-free Transformer with Linear Complexity. NeurIPS Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
2021	J	`jnl`	SOFT: Softmax-free Transformer with Linear Complexity. CoRR Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
2021	J	`jnl`	The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. CoRR Meng Yao, Qiyue Yin, Jun Yang, Tongtong Yu, Shengqi Shen, Junge Zhang, Bin Liang, Kaiqi Huang
2021	J	`jnl`	Universal adversarial perturbations against object detection. Pattern Recognit. Debang Li, Junge Zhang, Kaiqi Huang
2020	A*	`conf`	Composing Good Shots by Exploiting Mutual Relations. CVPR Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang
2020	A*	`conf`	Learning to Learn Cropping Models for Different Aspect Ratio Requirements. CVPR Debang Li, Junge Zhang, Kaiqi Huang
2020	—	`conf`	Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network. ICCCS Wei Cheng, Qiyue Yin, Junge Zhang
2020	J	`jnl`	Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. CoRR Xiyao Wang, Junge Zhang, Wenzhen Huang, Qiyue Yin
2019	A*	`conf`	Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. AAAI Wenzhen Huang, Junge Zhang, Kaiqi Huang
2019	J	`jnl`	Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping. IEEE Trans. Image Process. Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
2019	J	`jnl`	FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. CoRR Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu
2019	A*	`conf`	Few-Shot Image Recognition With Knowledge Transfer. ICCV Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang
2019	A*	`conf`	GP-GAN: Towards Realistic High-Resolution Image Blending. ACM Multimedia Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2019	—	`conf`	MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. MICCAI (6) Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
2019	J	`jnl`	MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection. CoRR Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
2019	J	`jnl`	Mixed Supervised Object Detection with Robust Objectness Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang
2019	J	`jnl`	Multi-view clustering via joint feature selection and partially constrained cluster label learning. Pattern Recognit. Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li
2019	J	`jnl`	Point Cloud Super Resolution with Adversarial Residual Graph Networks. CoRR Huikai Wu, Junge Zhang, Kaiqi Huang
2019	—	`conf`	Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining. PRCV (2) Zhuo Wang, Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang
2019	A*	`conf`	SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. ICCV Huikai Wu, Junge Zhang, Kaiqi Huang
2019	J	`jnl`	SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. CoRR Huikai Wu, Junge Zhang, Kaiqi Huang
2019	A*	`conf`	Transductive Zero-Shot Learning via Visual Center Adaptation. AAAI Ziyu Wan, Yan Li, Min Yang, Junge Zhang
2019	A*	`conf`	Transductive Zero-Shot Learning with Visual Structure Constraint. NeurIPS Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao
2019	J	`jnl`	Transductive Zero-Shot Learning with Visual Structure Constraint. CoRR Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao
2018	A*	`conf`	A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. CVPR Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
2018	—	`conf`	ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model. ICANN (2) Xue Han, Hongping Yan, Junge Zhang, Lingfeng Wang
2018	A*	`conf`	DF AAAI Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan
2018	A*	`conf`	Deep Semantic Structural Constraints for Zero-Shot Learning. AAAI Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan
2018	A*	`conf`	Discriminative Learning of Latent Features for Zero-Shot Recognition. CVPR Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang
2018	J	`jnl`	Discriminative Learning of Latent Features for Zero-Shot Recognition. CoRR Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang
2018	J	`jnl`	Energy efficiency of heterogeneous multicore system based on the enhanced Amdahl's law. Int. J. High Perform. Comput. Netw. Songwen Pei, Junge Zhang, Naixue Xiong, Myoung-Seo Kim, Jean-Luc Gaudiot
2018	A*	`conf`	Fast End-to-End Trainable Guided Filter. CVPR Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2018	J	`jnl`	Fast End-to-End Trainable Guided Filter. CoRR Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2018	J	`jnl`	Mixed Supervised Object Detection with Robust Objectness Transfer. CoRR Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang
2017	J	`jnl`	A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping. CoRR Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
2017	—	`conf`	CNet: Context-Aware Network for Semantic Segmentation. ACPR Rongliang Cheng, Junge Zhang, Peipei Yang, Kangwei Liu, Shujun Zhang
2017	B	`conf`	Encyclopedia enhanced semantic embedding for zero-shot learning. ICIP Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan
2017	J	`jnl`	GP-GAN: Towards Realistic High-Resolution Image Blending. CoRR Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
2017	J	`jnl`	GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs. Int. J. Comput. Vis. Kangwei Liu, Junge Zhang, Peipei Yang, Stephen J. Maybank, Kaiqi Huang
2017	J	`jnl`	Local structured representation for generic object detection. Frontiers Comput. Sci. Junge Zhang, Kaiqi Huang, Tieniu Tan, Zhaoxiang Zhang
2017	J	`jnl`	MSC: A Dataset for Macro-Management in StarCraft II. CoRR Huikai Wu, Junge Zhang, Kaiqi Huang
2017	J	`jnl`	ORGM: Occlusion Relational Graphical Model for Human Pose Estimation. IEEE Trans. Image Process. Lianrui Fu, Junge Zhang, Kaiqi Huang
2017	B	`conf`	Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation. ICIP Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan
2016	A*	`conf`	FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs. IJCAI Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang
2016	J	`jnl`	Reevaluating the overhead of data preparation for asymmetric multicore system on graphics processing. KSII Trans. Internet Inf. Syst. Songwen Pei, Junge Zhang, Linhua Jiang, Myoung-Seo Kim, Jean-Luc Gaudiot
2015	A*	`conf`	Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation. ICCV Lianrui Fu, Junge Zhang, Kaiqi Huang
2015	B	`conf`	Context aware model for articulated human pose estimation. ICIP Lianrui Fu, Junge Zhang, Kaiqi Huang
2015	A*	`conf`	GRSA: Generalized range swap algorithm for the efficient optimization of MRFs. CVPR Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang
2015	J	`jnl`	ISEE Smart Home (ISH): Smart video analysis for home security. Neurocomputing Junge Zhang, Yanhu Shan, Kaiqi Huang
2015	J	`jnl`	Large-Scale Weakly Supervised Object Localization via Latent Category Learning. IEEE Trans. Image Process. Chong Wang, Kaiqi Huang, Weiqiang Ren, Junge Zhang, Stephen J. Maybank
2015	—	`conf`	Mirrored non-maximum suppression for accurate object part localization. ACPR Lianrui Fu, Junge Zhang, Kaiqi Huang
2015	—	`conf`	Performance-energy efficiency model of heterogeneous parallel multicore system. IGSC Songwen Pei, Junge Zhang, Naixue Xiong, Myoung-Seo Kim, Jean-Luc Gaudiot
2014	A*	`conf`	Deformable Object Matching via Deformation Decomposition Based 2D Label MRF. CVPR Kangwei Liu, Junge Zhang, Kaiqi Huang, Tieniu Tan
2014	B	`conf`	Improved Optimization Based on Graph Cuts for Discrete Energy Minimization. ICPR Kangwei Liu, Junge Zhang, Kaiqi Huang
2014	B	`conf`	Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification. ICPR Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang
2014	B	`conf`	Robust Object Recognition via Visual Pathway Feedback. ICPR Chong Wang, Junge Zhang, Peipei Yang, Kaiqi Huang
2013	—	`conf`	An Adaptive Combination of Multiple Features for Robust Tracking in Real Scene. ICCV Workshops Weihua Chen, Lijun Cao, Junge Zhang, Kaiqi Huang
2013	—	`conf`	Exploring the Power of Kernel in Feature Representation for Object Categorization. ICONIP (3) Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang
2013	—	`conf`	Recent Progress on Object Classification and Detection. CIARP (2) Tieniu Tan, Yongzhen Huang, Junge Zhang
2013	—	`conf`	The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu
2012	—	`conf`	Data Decomposition and Spatial Mixture Modeling for Part Based Model. ACCV (1) Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu, Tieniu Tan
2012	B	`conf`	Interest Point Selection with Spatio-temporal Context for Realistic Action Recognition. AVSS Yanhu Shan, Zhang Zhang, Junge Zhang, Kaiqi Huang, Na Wu, Oh Se Hyun
2012	J	`jnl`	Optimal Design of the Absolute Positioning Sensor for a High-Speed Maglev Train and Research on Its Fault Diagnosis. Sensors Dapeng Zhang, Zhiqiang Long, Song Xue, Junge Zhang
2012	B	`conf`	Semantic windows mining in sliding window based object detection. ICPR Junge Zhang, Xin Zhao, Yongzhen Huang, Kaiqi Huang, Tieniu Tan
2011	—	`conf`	An empirical study of visual features for part based model. ACPR Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang
2011	A*	`conf`	Boosted local structured HOG-LBP for object localization. CVPR Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan
2011	B	`conf`	Robust view transformation model for gait recognition. ICIP Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan