An empirical study of visual features for part based model. - Junge Zhang; Yinan Yu; Shuai Zheng 001; Kaiqi Huang (ACPR, 2011)

Boosted local structured HOG-LBP for object localization. - Junge Zhang; Kaiqi Huang; Yinan Yu; Tieniu Tan (CVPR, 2011)

Robust view transformation model for gait recognition. - Shuai Zheng 001; Junge Zhang; Kaiqi Huang; Ran He 001; Tieniu Tan (ICIP, 2011)

Data Decomposition and Spatial Mixture Modeling for Part Based Model. - Junge Zhang; Yongzhen Huang; Kaiqi Huang; Zifeng Wu; Tieniu Tan (ACCV (1), 2012)

Interest Point Selection with Spatio-temporal Context for Realistic Action Recognition. - Yanhu Shan; Zhang Zhang 001; Junge Zhang; Kaiqi Huang; Na Wu; Oh Se Hyun (AVSS, 2012)

Semantic windows mining in sliding window based object detection. - Junge Zhang; Xin Zhao 012; Yongzhen Huang; Kaiqi Huang; Tieniu Tan (ICPR, 2012)

Optimal Design of the Absolute Positioning Sensor for a High-Speed Maglev Train and Research on Its Fault Diagnosis. - Dapeng Zhang; Zhiqiang Long; Song Xue; Junge Zhang (Sensors, 2012)

Recent Progress on Object Classification and Detection. - Tieniu Tan; Yongzhen Huang; Junge Zhang (CIARP (2), 2013)

An Adaptive Combination of Multiple Features for Robust Tracking in Real Scene. - Weihua Chen; Lijun Cao; Junge Zhang; Kaiqi Huang (ICCV Workshops, 2013)

The Visual Object Tracking VOT2013 Challenge Results. - 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; et al. (ICCV Workshops, 2013)

Exploring the Power of Kernel in Feature Representation for Object Categorization. - Weiqiang Ren; Yinan Yu; Junge Zhang; Kaiqi Huang (ICONIP (3), 2013)

Deformable Object Matching via Deformation Decomposition Based 2D Label MRF. - Kangwei Liu; Junge Zhang; Kaiqi Huang; Tieniu Tan (CVPR, 2014)

Improved Optimization Based on Graph Cuts for Discrete Energy Minimization. - Kangwei Liu; Junge Zhang; Kaiqi Huang (ICPR, 2014)

Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification. - Weiqiang Ren; Yinan Yu; Junge Zhang; Kaiqi Huang (ICPR, 2014)

Robust Object Recognition via Visual Pathway Feedback. - Chong Wang; Junge Zhang; Peipei Yang; Kaiqi Huang (ICPR, 2014)

Mirrored non-maximum suppression for accurate object part localization. - Lianrui Fu; Junge Zhang; Kaiqi Huang (ACPR, 2015)

GRSA: Generalized range swap algorithm for the efficient optimization of MRFs. - Kangwei Liu; Junge Zhang; Peipei Yang; Kaiqi Huang (CVPR, 2015)

Performance-energy efficiency model of heterogeneous parallel multicore system. - Songwen Pei; Junge Zhang; Naixue Xiong; Myoung-Seo Kim; Jean-Luc Gaudiot (IGSC, 2015)

Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation. - Lianrui Fu; Junge Zhang; Kaiqi Huang (ICCV, 2015)

Context aware model for articulated human pose estimation. - Lianrui Fu; Junge Zhang; Kaiqi Huang (ICIP, 2015)

ISEE Smart Home (ISH): Smart video analysis for home security. - Junge Zhang; Yanhu Shan; Kaiqi Huang (Neurocomputing, 2015)

Large-Scale Weakly Supervised Object Localization via Latent Category Learning. - Chong Wang; Kaiqi Huang; Weiqiang Ren; Junge Zhang; Stephen J. Maybank (IEEE Trans. Image Process., 2015)

FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs. - Kangwei Liu; Junge Zhang; Peipei Yang; Kaiqi Huang (IJCAI, 2016)

Reevaluating the overhead of data preparation for asymmetric multicore system on graphics processing. - Songwen Pei; Junge Zhang; Linhua Jiang; Myoung-Seo Kim; Jean-Luc Gaudiot (KSII Trans. Internet Inf. Syst., 2016)

CNet: Context-Aware Network for Semantic Segmentation. - Rongliang Cheng; Junge Zhang; Peipei Yang; Kangwei Liu; Shujun Zhang (ACPR, 2017)

Encyclopedia enhanced semantic embedding for zero-shot learning. - Zhen Jia; Junge Zhang; Kaiqi Huang; Tieniu Tan (ICIP, 2017)

Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation. - Yabei Li; Junge Zhang; Yanhua Cheng; Kaiqi Huang; Tieniu Tan (ICIP, 2017)

A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping. - Debang Li; Huikai Wu; Junge Zhang; Kaiqi Huang (CoRR, 2017)

MSC: A Dataset for Macro-Management in StarCraft II. - Huikai Wu; Junge Zhang; Kaiqi Huang (CoRR, 2017)

Local structured representation for generic object detection. - Junge Zhang; Kaiqi Huang; Tieniu Tan; Zhaoxiang Zhang 001 (Frontiers Comput. Sci., 2017)

GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs. - Kangwei Liu; Junge Zhang; Peipei Yang; Stephen J. Maybank; Kaiqi Huang (Int. J. Comput. Vis., 2017)

ORGM: Occlusion Relational Graphical Model for Human Pose Estimation. - Lianrui Fu; Junge Zhang; Kaiqi Huang (IEEE Trans. Image Process., 2017)

Deep Semantic Structural Constraints for Zero-Shot Learning. - Yan Li 043; Zhen Jia; Junge Zhang; Kaiqi Huang; Tieniu Tan (AAAI, 2018)

DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification. - Yabei Li; Junge Zhang; Yanhua Cheng; Kaiqi Huang; Tieniu Tan (AAAI, 2018)

A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. - Debang Li; Huikai Wu; Junge Zhang; Kaiqi Huang (CVPR, 2018)

Discriminative Learning of Latent Features for Zero-Shot Recognition. - Yan Li 043; Junge Zhang; Jianguo Zhang 001; Kaiqi Huang (CVPR, 2018)

Fast End-to-End Trainable Guided Filter. - Huikai Wu; Shuai Zheng 001; Junge Zhang; Kaiqi Huang (CVPR, 2018)

ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model. - Xue Han; Hongping Yan; Junge Zhang; Lingfeng Wang 002 (ICANN (2), 2018)

Energy efficiency of heterogeneous multicore system based on the enhanced Amdahl's law. - Songwen Pei; Junge Zhang; Naixue Xiong; Myoung-Seo Kim; Jean-Luc Gaudiot (Int. J. High Perform. Comput. Netw., 2018)

Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. - Wenzhen Huang; Junge Zhang; Kaiqi Huang (AAAI, 2019)

Transductive Zero-Shot Learning via Visual Center Adaptation. - Ziyu Wan; Yan Li 043; Min Yang; Junge Zhang (AAAI, 2019)

Few-Shot Image Recognition With Knowledge Transfer. - Zhimao Peng; Zechao Li; Junge Zhang; Yan Li; Guo-Jun Qi; Jinhui Tang 001 (ICCV, 2019)

SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. - Huikai Wu; Junge Zhang; Kaiqi Huang (ICCV, 2019)

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. - Zihao Li; Shu Zhang 001; Junge Zhang; Kaiqi Huang; Yizhou Wang 001; Yizhou Yu (MICCAI (6), 2019)

GP-GAN: Towards Realistic High-Resolution Image Blending. - Huikai Wu; Shuai Zheng 001; Junge Zhang; Kaiqi Huang (ACM Multimedia, 2019)

Transductive Zero-Shot Learning with Visual Structure Constraint. - Ziyu Wan; Dongdong Chen 001; Yan Li 043; Xingguang Yan; Junge Zhang; Yizhou Yu; Jing Liao 001 (NeurIPS, 2019)

Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining. - Zhuo Wang; Zihao Li; Shu Zhang 001; Junge Zhang; Kaiqi Huang (PRCV (2), 2019)

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. - Huikai Wu; Junge Zhang; Kaiqi Huang; Kongming Liang; Yizhou Yu (CoRR, 2019)

Point Cloud Super Resolution with Adversarial Residual Graph Networks. - Huikai Wu; Junge Zhang; Kaiqi Huang (CoRR, 2019)

Mixed Supervised Object Detection with Robust Objectness Transfer. - Yan Li 043; Junge Zhang; Kaiqi Huang; Jianguo Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Multi-view clustering via joint feature selection and partially constrained cluster label learning. - Qiyue Yin; Junge Zhang; Shu Wu; Hexi Li (Pattern Recognit., 2019)

Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping. - Debang Li; Huikai Wu; Junge Zhang; Kaiqi Huang (IEEE Trans. Image Process., 2019)

Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network. - Wei Cheng; Qiyue Yin; Junge Zhang (ICCCS, 2020)

Composing Good Shots by Exploiting Mutual Relations. - Debang Li; Junge Zhang; Kaiqi Huang; Ming-Hsuan Yang 001 (CVPR, 2020)

Learning to Learn Cropping Models for Different Aspect Ratio Requirements. - Debang Li; Junge Zhang; Kaiqi Huang (CVPR, 2020)

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. - Xiyao Wang; Junge Zhang; Wenzhen Huang; Qiyue Yin (CoRR, 2020)

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. - Wenzhen Huang; Qiyue Yin; Junge Zhang; Kaiqi Huang (AAAI, 2021)

Counter-Contrastive Learning for Language GANs. - Yekun Chai; Haidong Zhang; Qiyue Yin; Junge Zhang (EMNLP (Findings), 2021)

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. - Zihao Li; Jiechao Ma; Shu Zhang 001; Yemin Shi 001; Junge Zhang; Kaiqi Huang; Yizhou Yu (ICIP, 2021)

SOFT: Softmax-free Transformer with Linear Complexity. - Jiachen Lu; Jinghan Yao; Junge Zhang; Xiatian Zhu; Hang Xu 004; Weiguo Gao; Chunjing Xu; Tao Xiang 002; Li Zhang 040 (NeurIPS, 2021)

Coordinated Proximal Policy Optimization. - Zifan Wu; Chao Yu 004; Deheng Ye; Junge Zhang; Haiyin Piao; Hankz Hankui Zhuo (NeurIPS, 2021)

Consistency Regularization for Ensemble Model Based Reinforcement Learning. - Ruonan Jia; Qingming Li; Wenzhen Huang; Junge Zhang; Xiu Li 001 (PRICAI (3), 2021)

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. - Meng Yao; Qiyue Yin; Jun Yang 028; Tongtong Yu; Shengqi Shen; Junge Zhang; Bin Liang 001; Kaiqi Huang (CoRR, 2021)

Universal adversarial perturbations against object detection. - Debang Li; Junge Zhang; Kaiqi Huang (Pattern Recognit., 2021)

Learning Macromanagement in Starcraft by Deep Reinforcement Learning. - Wenzhen Huang; Qiyue Yin; Junge Zhang; Kaiqi Huang (Sensors, 2021)

Achieving Consensus to Learn an Efficient and Robust Communication via Reinforcement Learning. - Wei Qing; Zhaofeng He; Junge Zhang; Jian Li; Luzhan Yuan; Wei Wang (CogSci, 2022)

Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. - Hao Chen 103; Guangkai Yang; Junge Zhang; Qiyue Yin; Kaiqi Huang (IJCNN, 2022)

RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. - Hao Chen 103; Guangkai Yang; Junge Zhang; Qiyue Yin; Kaiqi Huang (IJCNN, 2022)

FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. - Yifei Chen; Junge Zhang; Qiaozhe Li; Hao Chen 103; Kaiqi Huang (IJCNN, 2022)

DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games. - Qibin Zhou; Dongdong Bai; Junge Zhang; Fuqing Duan; Kaiqi Huang (CoRR, 2022)

Softmax-free Linear Transformers. - Jiachen Lu; Li Zhang 040; Junge Zhang; Xiatian Zhu; Hang Xu 004; Jianfeng Feng (CoRR, 2022)

Delving into Transformer for Incremental Semantic Segmentation. - Zekai Xu; Mingyi Zhang 004; Jiayue Hou; Xing Gong; Chuan Wen; Chengjie Wang; Junge Zhang (CoRR, 2022)

Transformer in Transformer as Backbone for Deep Reinforcement Learning. - Hangyu Mao; Rui Zhao 001; Hao Chen 011; Jianye Hao; Yiqun Chen 004; Dong Li 016; Junge Zhang; Zhen Xiao (CoRR, 2022)

Offline reinforcement learning with representations for actions. - Xingzhou Lou; Qiyue Yin; Junge Zhang; Chao Yu 004; Zhaofeng He; Nengjie Cheng; Kaiqi Huang (Inf. Sci., 2022)

Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. - Pei Xu; Qiyue Yin; Junge Zhang; Kaiqi Huang (IEEE Trans. Games, 2022)

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. - Pei Xu; Junge Zhang; Qiyue Yin; Chao Yu 004; Yaodong Yang 001; Kaiqi Huang (AAAI, 2023)

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. - Xingzhou Lou; Jiaxian Guo; Junge Zhang; Jun Wang 012; Kaiqi Huang; Yali Du 001 (AAMAS, 2023)

Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning. - Chen Yang; Guangkai Yang; Junge Zhang (AAMAS, 2023)

Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Kaiqi Huang (AAMAS, 2023)

Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. - Wenzhen Huang; Tong Li 013; Yuting Cao; Zhe Lyu; Yanping Liang; Li Yu; Depeng Jin; Junge Zhang; Yong Li 008 (CIKM, 2023)

Improved Training Of Mixture-Of-Experts Language GANs. - Yekun Chai; Qiyue Yin; Junge Zhang (ICASSP, 2023)

S-NeRF: Neural Radiance Fields for Street Views. - Ziyang Xie; Junge Zhang; Wenye Li 002; Feihu Zhang; Li Zhang 001 (ICLR, 2023)

Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. - Pei Xu; Junge Zhang; Kaiqi Huang (IJCAI, 2023)

Neural Text Classification by Jointly Learning to Cluster and Align. - Yekun Chai; Haidong Zhang; Qiyue Yin; Junge Zhang (IJCNN, 2023)

Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. - Chen Yang; Guangkai Yang; Hao Chen 103; Junge Zhang (IJCNN, 2023)

Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Hao Chen 103; Kaiqi Huang (IJCNN, 2023)

Dynamic Equilibrium-Based Continual Learning Model with Disentangled Meta-features. - Mingyi Zhang 004; Junge Zhang (SMC, 2023)

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. - Junge Zhang; Feihu Zhang; Shaochen Kuang; Li Zhang 001 (CoRR, 2023)

ProAgent: Building Proactive Cooperative AI 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; et al. (CoRR, 2023)

Benchmarking Continual Learning from Cognitive Perspectives. - Xiaoqian Liu; Junge Zhang; Mingyi Zhang 004; Peipei Yang (CoRR, 2023)

CSA-Net: Cross-modal scale-aware attention-aggregated network for RGB-T crowd counting. - He Li; Junge Zhang; Weihang Kong; Jienan Shen; Yuguang Shao (Expert Syst. Appl., 2023)

Squeezing More Past Knowledge for Online Class-Incremental Continual Learning. - Da Yu; Mingyi Zhang 004; Mantian Li; Fusheng Zha; Junge Zhang; Lining Sun; Kaiqi Huang (IEEE CAA J. Autom. Sinica, 2023)

Direction-aware attention aggregation for single-stage hazy-weather crowd counting. - Weihang Kong; Jienan Shen; He Li; Jiayu Liu; Junge Zhang (Expert Syst. Appl., 2023)

BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. - Jing Cui; Yufei Han; Yuzhe Ma; Jianbin Jiao; Junge Zhang (AAAI, 2024)

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. - Xingzhou Lou; Junge Zhang; Timothy J. Norman; Kaiqi Huang; Yali Du 001 (AAAI, 2024)

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; et al. (AAAI, 2024)

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. - Junge Zhang; Feihu Zhang; Shaochen Kuang; Li Zhang (AAAI, 2024)

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. - Xingzhou Lou; Junge Zhang; Ziyan Wang; Kaiqi Huang; Yali Du 001 (AAMAS, 2024)

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. - Hangyu Mao; Rui Zhao 001; Ziyue Li 002; Zhiwei Xu 005; Hao Chen 103; Yiqun Chen 004; Bin Zhang 052; Zhen Xiao; Junge Zhang; Jiangjin Yin (AAMAS, 2024)

Information Bottleneck Based Data Correction in Continual Learning. - Shuai Chen; Mingyi Zhang 004; Junge Zhang; Kaiqi Huang (ECCV (87), 2024)

Task-Wise Prompt Query Function for Rehearsal-Free Continual Learning. - Shuai Chen; Mingyi Zhang 004; Junge Zhang; Kaiqi Huang (ICASSP, 2024)

Position: Foundation Agents as the Paradigm Shift for Decision Making. - Xiaoqian Liu; Xingzhou Lou; Jianbin Jiao; Junge Zhang (ICML, 2024)

Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent. - Zekeng Zeng; Youzhi Zhang 001; Peipei Yang; Mingyi Zhang; Junge Zhang (ICONIP (4), 2024)

ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Pei Xu; Kaiqi Huang (IJCAI, 2024)

Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. - Pei Xu; Junge Zhang; Kaiqi Huang (IJCAI, 2024)

Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges. - Xiaoqian Liu; Jianbin Jiao; Junge Zhang (CoRR, 2024)

Expanding the Resolution Boundary of Outcome-Based Imperfect-Recall Abstraction in Games with Ordered Signals. - Yanchang Fu; Junge Zhang; Dongdong Bai; Lingyun Zhao; Jialu Song; Kaiqi Huang (CoRR, 2024)

Urban Scene Diffusion through Semantic Occupancy Map. - Junge Zhang; Qihang Zhang; Li Zhang; Ramana Rao Kompella; Gaowen Liu; Bolei Zhou (CoRR, 2024)

SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling. - Xingzhou Lou; Junge Zhang; Jian Xie; Lifeng Liu; Dong Yan; Kaiqi Huang (CoRR, 2024)

Recent Advances in Attack and Defense Approaches of Large Language Models. - Jing Cui; Yishi Xu; Zhewei Huang; Shuchang Zhou 001; Jianbin Jiao; Junge Zhang (CoRR, 2024)

Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown. - Xingzhou Lou; Dong Yan; Wei Shen; Yuzi Yan; Jian Xie; Junge Zhang (CoRR, 2024)

IDEA-Bench: How Far are Generative Models from Professional Designing? - Liang Chen; Lianghua Huang; Jingwu Fang; Huanzhang Dou; Wei Wang 354; Zhi-Fan Wu; Yupeng Shi; Junge Zhang; Xin Zhao 012; Yu Liu 063 (CoRR, 2024)

Cross-modal misalignment-robust feature fusion for crowd counting. - Weihang Kong; Zepeng Yu; He Li; Junge Zhang (Eng. Appl. Artif. Intell., 2024)

Contrastive Correlation Preserving Replay for Online Continual Learning. - Da Yu; Mingyi Zhang 004; Mantian Li; Fusheng Zha; Junge Zhang; Lining Sun; Kaiqi Huang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. - Xingzhou Lou; Junge Zhang; Yali Du 001; Chao Yu 004; Zhaofeng He; Kaiqi Huang (IEEE Trans. Games, 2024)

Exemplar-Based Continual Learning via Contrastive Learning. - Shuai Chen; Mingyi Zhang 004; Junge Zhang; Kaiqi Huang (IEEE Trans. Artif. Intell., 2024)

Softmax-Free Linear Transformers. - Jiachen Lu; Junge Zhang; Xiatian Zhu; Jianfeng Feng; Tao Xiang 002; Li Zhang 040 (Int. J. Comput. Vis., 2024)

Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling. - Xingzhou Lou; Junge Zhang; Jian Xie; Lifeng Liu; Dong Yan; Kaiqi Huang (AAAI, 2025)

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 002; Jianbin Jiao; Junge Zhang (ACL (1), 2025)

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 (CVPR, 2025)

RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games. - Yingzhuo Liu; Shuodi Liu; Hongsong Tang; Yubing Ma; Zikang Li; Junge Zhang; Liuyu Xiang; Zhaofeng He (AAMAS, 2025)

Distribution Optimization Under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation. - Liang Chen; Weihua Chen; Xin Zhao 012; Junyan Wang 001; Lijun Cao; Junge Zhang (WACV, 2025)

Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes. - Sarosij Bose; Arindam Dutta; Sayak Nag; Junge Zhang; Jiachen Li; Konstantinos Karydis; Amit K. Roy-Chowdhury (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. - Zhiwen Fan; Jian Zhang; Renjie Li 003; Junge Zhang; Runjin Chen; Hezhen Hu; Kevin Wang; Huaizhi Qu; Dilin Wang; Zhicheng Yan 001; Hongyu Xu; Justin Theiss; et al. (CoRR, 2025)

Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation. - Chenxu Wang; Yonggang Jin; Cheng Hu; Youpeng Zhao; Zipeng Dai; Jian Zhao 018; Shiyu Huang 001; Liuyu Xiang; Junge Zhang; Zhaofeng He (CoRR, 2025)

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Jiangmeng Li; Zehua Zang; Qirui Ji; Chuxiong Sun; Wenwen Qiang; Junge Zhang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation. - Yurui Chen; Junge Zhang; Ziyang Xie; Wenye Li 002; Feihu Zhang; Jiachen Lu; Li Zhang 040 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Learning Individual Potential-Based Rewards in Multiagent Reinforcement Learning. - Chen Yang; Pei Xu; Junge Zhang (IEEE Trans. Games, 2025)

Relation-Aware Learning for Multitask Multiagent Cooperative Games. - Yang Yu 056; Likun Yang; Zhourui Guo; Yongjian Ren; Qiyue Yin; Junge Zhang; Kaiqi Huang (IEEE Trans. Games, 2025)