An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition. - Hui Zhu 013; Xianglong Tang; Peng Liu 008 (Int. J. Document Anal. Recognit., 2006)

A NN Image Classification Method Driven by the Mixed Fitness Function. - Shan Gai; Peng Liu 008; Jiafeng Liu; Xianglong Tang (Comput. Inf. Sci., 2009)

Pixel Based Temporal Analysis Using Chromatic Property for Removing Rain from Videos. - Peng Liu 008; Jing Xu; Jiafeng Liu; Xianglong Tang (Comput. Inf. Sci., 2009)

2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints. - Chenguang Liu; Peng Liu 008; Jiafeng Liu; Jianhua Huang; Xianglong Tang (J. Intell. Robotic Syst., 2010)

Adaptive background estimation of outdoor illumination variations for foreground detection. - Xudong Zhao 001; Peng Liu 008; Jiafeng Liu; Xianglong Tang (VCIP, 2011)

A time, space and color-based classification of different weather conditions. - Xudong Zhao 001; Peng Liu 008; Jiafeng Liu; Xianglong Tang (VCIP, 2011)

Banknote Image Retrieval Using Rotated QuaternionWavelet Filters. - Shan Gai; Peng Liu 008; Jiafeng Liu; Xianglong Tang (Int. J. Comput. Intell. Syst., 2011)

An Improved Guidance Image Based Method to Remove Rain and Snow in a Single Image. - Jing Xu; Wei Zhao 008; Peng Liu 008; Xianglong Tang (Comput. Inf. Sci., 2012)

Removal of dynamic weather conditions based on variable time window. - Xudong Zhao 001; Peng Liu 008; Jiafeng Liu; Xianglong Tang (IET Comput. Vis., 2013)

Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model. - Ye Tao; Peng Liu 008; Wei Zhao 008; Xianglong Tang (ICONIP (3), 2014)

Knowledge as action: A cognitive framework for indoor scene classification. - Rui Wu 002; Zhipeng Ye; Peng Liu 008; Xianglong Tang; Wei Zhao 008 (ICIP, 2015)

May the torcher light our way: A negative-accelerated active learning framework for image classification. - Zhipeng Ye; Peng Liu 008; Xianglong Tang; Wei Zhao 008 (ICIP, 2015)

Cognition inspired framework for indoor scene annotation. - Zhipeng Ye; Peng Liu 008; Wei Zhao 008; Xianglong Tang (J. Electronic Imaging, 2015)

Hierarchical abstract semantic model for image classification. - Zhipeng Ye; Peng Liu 008; Wei Zhao 008; Xianglong Tang (J. Electronic Imaging, 2015)

A Survey of Knowledge Hierarchies for Image Analysis. - Zhipeng Ye; Peng Liu 008; Wei Zhao 008; Xianglong Tang (Smart Comput. Rev., 2015)

Semantic middleware: multi-layer abstract semantics inference for object categorization. - Peng Liu 008; Zhipeng Ye; Wei Zhao 008; Xianglong Tang (Int. Arab J. Inf. Technol., 2016)

Practice makes perfect: An adaptive active learning framework for image classification. - Zhipeng Ye; Peng Liu 008; Jiafeng Liu; Xianglong Tang; Wei Zhao 008 (Neurocomputing, 2016)

Hierarchy-associated semantic-rule inference framework for classifying indoor scenes. - Dan Yu; Peng Liu 008; Zhipeng Ye; Xianglong Tang; Wei Zhao 008 (J. Electronic Imaging, 2016)

Making the torch lighter: Areinforced active sampling framework for image classification. - Peng Liu 008; Zhipeng Ye; Xianglong Tang; Wei Zhao 008 (ICIP, 2017)

RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images. - Depeng Gao; Rui Wu 002; Jiafeng Liu; Qingcheng Huang; Xianglong Tang; Peng Liu 008 (ICONIP (6), 2017)

Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection. - Peng Liu 008; Chang Liu 011; Wei Zhao 008; Xianglong Tang (ICTAI, 2017)

A hierarchical inferential method for indoor scene classification. - Jingzhe Jiang; Peng Liu 008; Zhipeng Ye; Wei Zhao 008; Xianglong Tang (Int. J. Appl. Math. Comput. Sci., 2017)

Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model. - Yiran Xue; Peng Liu 008; Ye Tao; Xianglong Tang (Int. J. Appl. Math. Comput. Sci., 2017)

A 3D/2D registration of the coronary arteries based on tree topology consistency matching. - Songbo Liu; Peng Liu 008; Zhixun Li; Yingtao Zhang; Weimin Li 004; Xianglong Tang (Biomed. Signal Process. Control., 2017)

Abnormal crowd motion detection using double sparse representation. - Peng Liu 008; Ye Tao; Wei Zhao 008; Xianglong Tang (Neurocomputing, 2017)

Iterative landmark selection and subspace alignment for unsupervised domain adaptation. - Ting Xiao; Peng Liu 008; Wei Zhao 008; Xianglong Tang (J. Electronic Imaging, 2018)

Spatial-temporal adaptive feature weighted correlation filter for visual tracking. - Fei Du; Peng Liu 008; Wei Zhao 008; Xianglong Tang (Signal Process. Image Commun., 2018)

Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context. - Chang Liu 011; Peng Liu 008; Wei Zhao 008; Xianglong Tang (IEEE Trans. Multim., 2018)

An exploratory rollout policy for imagination-augmented agents. - Peng Liu 008; Yingnan Zhao 002; Wei Zhao 008; Xianglong Tang; Zichan Yang (Appl. Intell., 2019)

Guided goal generation for hindsight multi-goal reinforcement learning. - Chenjia Bai; Peng Liu 008; Wei Zhao 008; Xianglong Tang (Neurocomputing, 2019)

Structure preservation and distribution alignment in discriminative transfer subspace learning. - Ting Xiao; Peng Liu 008; Wei Zhao 008; Hongwei Liu 002; Xianglong Tang (Neurocomputing, 2019)

Multi-level context-adaptive correlation tracking. - Peng Liu 008; Chang Liu 011; Wei Zhao 008; Xianglong Tang (Pattern Recognit., 2019)

Correlation-Guided Attention for Corner Detection Based Visual Tracking. - Fei Du; Peng Liu 008; Wei Zhao 008; Xianglong Tang (CVPR, 2020)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Zhaoran Wang 001; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002 (CoRR, 2020)

Importance-weighted conditional adversarial network for unsupervised domain adaptation. - Peng Liu 008; Ting Xiao; Cangning Fan; Wei Zhao 008; Xianglong Tang; Hongwei Liu 002 (Expert Syst. Appl., 2020)

Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks. - Cangning Fan; Peng Liu 008; Ting Xiao; Wei Zhao 008; Xianglong Tang (Neurocomputing, 2020)

深度强化学习中稀疏奖励问题研究综述 (Survey on Sparse Reward in Deep Reinforcement Learning). - Weiyi Ang; Chenjia Bai; Chao Cai; Yingnan Zhao 002; Peng Liu 008 (计算机科学, 2020)

Generating attentive goals for prioritized hindsight reinforcement learning. - Peng Liu 008; Chenjia Bai; Yingnan Zhao 002; Chenyao Bai; Wei Zhao 008; Xianglong Tang (Knowl. Based Syst., 2020)

Obtaining accurate estimated action values in categorical distributional reinforcement learning. - Yingnan Zhao 002; Peng Liu 008; Chenjia Bai; Wei Zhao 008; Xianglong Tang (Knowl. Based Syst., 2020)

Joint Channel Reliability and Correlation Filters Learning for Visual Tracking. - Fei Du; Peng Liu 008; Wei Zhao 008; Xianglong Tang (IEEE Trans. Circuits Syst. Video Technol., 2020)

Visual Tracking by Structurally Optimizing Pre-Trained CNN. - Chang Liu 011; Peng Liu 008; Wei Zhao 008; Xianglong Tang (IEEE Trans. Circuits Syst. Video Technol., 2020)

Principled Exploration via Optimistic Bootstrapping and Backward Induction. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Jianye Hao; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICML, 2021)

Dynamic Bottleneck for Robust Self-Supervised Exploration. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Animesh Garg; Jianye Hao; Peng Liu 008; Zhaoran Wang 001 (NeurIPS, 2021)

Exploration in Deep Reinforcement Learning: A Comprehensive Survey. - Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Jianye Hao; Zhaopeng Meng; Peng Liu 008 (CoRR, 2021)

MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection. - Kailai Sun; Xiaoteng Ma; Qianchuan Zhao; Peng Liu 008 (CoRR, 2021)

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Zhuoran Yang; Zhi-Hong Deng 002; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICLR, 2022)

IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities. - Shijie Han; Peng Liu 008; Siyuan Li 003 (CoRR, 2022)

Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation. - Ting Xiao; Cangning Fan; Peng Liu 008; Hongwei Liu 002 (Entropy, 2022)

Anatomical prior based vertebra modelling for reappearance of human spines. - Qinghua Huang; Hao Luo; Cui Yang; Jianyi Li; Qifeng Deng; Peng Liu 008; Maoqing Fu; Le Li 003; Xuelong Li 001 (Neurocomputing, 2022)

Behavior Contrastive Learning for Unsupervised Skill Discovery. - Rushuai Yang; Chenjia Bai; Hongyi Guo; Siyuan Li 003; Bin Zhao 001; Zhen Wang 004; Peng Liu 008; Xuelong Li 001 (ICML, 2023)

Channel-Weighted Structured Correlation Filters for UAV Tracking. - Peng Liu 008; Gong Li; Wei Zhao 008; Xianglong Tang (IEEE Geosci. Remote. Sens. Lett., 2023)

Addressing Hindsight Bias in Multigoal Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Yixin Wang 002; Zhaoran Wang 001; Rui Zhao; Chenyao Bai; Peng Liu 008 (IEEE Trans. Cybern., 2023)

Variational Diversity Maximization for Hierarchical Skill Discovery. - Yingnan Zhao 002; Peng Liu 008; Wei Zhao 008; Xianglong Tang (Neural Process. Lett., 2023)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002; Lei Han 001; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. - Shijie Han; Siyuan Li 003; Bo An 001; Wei Zhao 008; Peng Liu 008 (Auton. Agents Multi Agent Syst., 2023)

Robust Visual Imitation Learning with Inverse Dynamics Representations. - Siyuan Li 003; Xun Wang; Rongchang Zuo; Kewu Sun; Lingfei Cui; Jishiyu Ding; Peng Liu 008; Zhe Ma (AAAI, 2024)

Auxiliary Reward Generation with Transition Distance Representation Learning. - Siyuan Li 003; Shijie Han; Yingnan Zhao 002; By Liang; Peng Liu 008 (CoRR, 2024)

An Imitative Reinforcement Learning Framework for Autonomous Dogfight. - Siyuan Li 003; Rongchang Zuo; Peng Liu 008; Yingnan Zhao 002 (CoRR, 2024)

Radiology Report Generation via Multi-objective Preference Optimization. - Ting Xiao; Lei Shi 004; Peng Liu 008; Zhen Wang 004; Chenjia Bai (CoRR, 2024)

Curriculum adaptation method based on graph neural networks for universal domain adaptation. - Cangning Fan; Peng Liu 008; Wei Zhao 008 (Expert Syst. Appl., 2024)

A coupling method of learning structured support correlation filters for visual tracking. - Peng Liu 008; Gong Li; Wei Zhao 008; Xianglong Tang (Vis. Comput., 2024)

IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. - Siyuan Li 003; Hao Li; Jin Zhang 016; Zhen Wang 004; Peng Liu 008; Chongjie Zhang (Auton. Agents Multi Agent Syst., 2024)

Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. - Chenjia Bai; Ting Xiao; Zhoufan Zhu; Lingxiao Wang 003; Fan Zhou; Animesh Garg; Bin He 003; Peng Liu 008; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. - Jianye Hao; Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Zhaopeng Meng; Peng Liu 008; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Correction: A coupling method of learning structured support correlation filters for visual tracking. - Peng Liu 008; Gong Li; Wei Zhao 008; Xianglong Tang (Vis. Comput., 2024)

A multi-agent learning framework for mixed-integer linear programming. - Yuchen Jing; Binyan Liang; Siyuan Li 003; Feifan Liu; Wei Zhao 008; Peng Liu 008 (INFOR Inf. Syst. Oper. Res., 2024)

Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. - Siyuan Li 003; Feifan Liu; Lingfei Cui; Jiani Lu; Qinqin Xiao; Xirui Yang; Peng Liu 008; Kewu Sun; Zhe Ma; Xun Wang (AAAI, 2025)

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. - Yongyan Wen; Siyuan Li 003; Rongchang Zuo; Lei Yuan; Hangyu Mao; Peng Liu 008 (AAAI, 2025)

Radiology Report Generation via Multi-objective Preference Optimization. - Ting Xiao; Lei Shi 004; Peng Liu 008; Zhe Wang 008; Chenjia Bai (AAAI, 2025)

Learning Adaptive Spatial-temporal Structured Correlation Filters for UAV Object Tracking. - Gong Li; Wei Zhao 008; Peng Liu 008; Xianglong Tang (ICASSP, 2025)

Combining long and short spatiotemporal reasoning for deep reinforcement learning. - Huiling Liu; Peng Liu 008; Chenjia Bai (Neurocomputing, 2025)

Auxiliary Reward Generation With Transition Distance Representation Learning. - Siyuan Li 003; Shijie Han; Yingnan Zhao 002; Yiqin Yang; Qianchuan Zhao; Peng Liu 008 (IEEE Trans Autom. Sci. Eng., 2025)

Unsupervised Skill Discovery through Skill Regions Differentiation. - Ting Xiao; Jiakun Zheng; Rushuai Yang; Kang Xu; Qiaosheng Zhang; Peng Liu 008; Chenjia Bai (CoRR, 2025)

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. - Zhihao Zhang; Siyuan Li 003; Chenxi Li; Feifan Liu; Mengjing Chen; Kai Li 022; Tao Zhong; Bo An 001; Peng Liu 008 (CoRR, 2025)

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. - Siyuan Li 003; Yifan Yu; Yanchen Deng; Zhihao Zhang; Mengjing Chen; Fangzhou Zhu; Tao Zhong 004; Jianye Hao; Peng Liu 008; Bo An 001 (CoRR, 2025)