Peng Liu - RankMe

90 papers A* 10B 4C 2Misc 1Journal 70Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions. ACM Trans. Auton. Adapt. Syst. Siyuan Li, Rongchang Zuo, Bofei Liu, Yaoyu He, Peng Liu, Yingnan Zhao
2026	J	`jnl`	Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation. CoRR Siyuan Li, Jiani Lu, Yu Song, Xianren Li, Bo An, Peng Liu
2026	J	`jnl`	PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning. CoRR Huanyu Li, Dewei Wang, Xinmiao Wang, Xinzhe Liu, Peng Liu, Chenjia Bai, Xuelong Li
2026	A*	`conf`	Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning. AAAI Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2026	J	`jnl`	Unsupervised Skill Discovery Through Skill Regions Differentiation. IEEE Trans. Neural Networks Learn. Syst. Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Zhe Wang, Chenjia Bai
2025	J	`jnl`	Auxiliary Reward Generation With Transition Distance Representation Learning. IEEE Trans Autom. Sci. Eng. Siyuan Li, Shijie Han, Yingnan Zhao, Yiqin Yang, Qianchuan Zhao, Peng Liu
2025	J	`jnl`	Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. CoRR Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An
2025	J	`jnl`	Combining long and short spatiotemporal reasoning for deep reinforcement learning. Neurocomputing Huiling Liu, Peng Liu, Chenjia Bai
2025	J	`jnl`	DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. CoRR Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu
2025	Misc	`conf`	Learning Adaptive Spatial-temporal Structured Correlation Filters for UAV Object Tracking. ICASSP Gong Li, Wei Zhao, Peng Liu, Xianglong Tang
2025	—	`conf`	ML-NC-TTT: Multi-layer Noise Contrastive Learning for Test-Time Training. PRCV (1) Cangning Fan, Peng Liu, Wei Zhao, Qiquan Quan
2025	A*	`conf`	Radiology Report Generation via Multi-objective Preference Optimization. AAAI Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai
2025	A*	`conf`	Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. AAAI Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang
2025	A*	`conf`	SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. AAAI Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu
2025	J	`jnl`	Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning. CoRR Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2025	J	`jnl`	Unsupervised Skill Discovery through Skill Regions Differentiation. CoRR Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Chenjia Bai
2024	J	`jnl`	A coupling method of learning structured support correlation filters for visual tracking. Vis. Comput. Peng Liu, Gong Li, Wei Zhao, Xianglong Tang
2024	J	`jnl`	A multi-agent learning framework for mixed-integer linear programming. INFOR Inf. Syst. Oper. Res. Yuchen Jing, Binyan Liang, Siyuan Li, Feifan Liu, Wei Zhao, Peng Liu
2024	J	`jnl`	An Imitative Reinforcement Learning Framework for Autonomous Dogfight. CoRR Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao
2024	J	`jnl`	Auxiliary Reward Generation with Transition Distance Representation Learning. CoRR Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu
2024	J	`jnl`	Correction: A coupling method of learning structured support correlation filters for visual tracking. Vis. Comput. Peng Liu, Gong Li, Wei Zhao, Xianglong Tang
2024	J	`jnl`	Curriculum adaptation method based on graph neural networks for universal domain adaptation. Expert Syst. Appl. Cangning Fan, Peng Liu, Wei Zhao
2024	J	`jnl`	Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
2024	J	`jnl`	IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
2024	J	`jnl`	Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
2024	J	`jnl`	Radiology Report Generation via Multi-objective Preference Optimization. CoRR Ting Xiao, Lei Shi, Peng Liu, Zhen Wang, Chenjia Bai
2024	A*	`conf`	Robust Visual Imitation Learning with Inverse Dynamics Representations. AAAI Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma
2024	J	`jnl`	Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. CoRR Siyuan Li, Zhe Ma, Feifan Liu, Jiani Lu, Qinqin Xiao, Kewu Sun, Lingfei Cui, Xirui Yang, Peng Liu, Xun Wang
2024	J	`jnl`	SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. CoRR Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu
2023	J	`jnl`	Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
2023	A*	`conf`	Behavior Contrastive Learning for Unsupervised Skill Discovery. ICML Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
2023	J	`jnl`	Behavior Contrastive Learning for Unsupervised Skill Discovery. CoRR Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
2023	J	`jnl`	Channel-Weighted Structured Correlation Filters for UAV Tracking. IEEE Geosci. Remote. Sens. Lett. Peng Liu, Gong Li, Wei Zhao, Xianglong Tang
2023	J	`jnl`	Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu
2023	J	`jnl`	IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
2023	J	`jnl`	Robust Visual Imitation Learning with Inverse Dynamics Representations. CoRR Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma
2023	J	`jnl`	Variational Diversity Maximization for Hierarchical Skill Discovery. Neural Process. Lett. Yingnan Zhao, Peng Liu, Wei Zhao, Xianglong Tang
2023	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
2022	J	`jnl`	Anatomical prior based vertebra modelling for reappearance of human spines. Neurocomputing Qinghua Huang, Hao Luo, Cui Yang, Jianyi Li, Qifeng Deng, Peng Liu, Maoqing Fu, Le Li, Xuelong Li
2022	J	`jnl`	IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities. CoRR Shijie Han, Peng Liu, Siyuan Li
2022	A*	`conf`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	J	`jnl`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	J	`jnl`	Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation. Entropy Ting Xiao, Cangning Fan, Peng Liu, Hongwei Liu
2021	A*	`conf`	Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
2021	J	`jnl`	MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection. CoRR Kailai Sun, Xiaoteng Ma, Qianchuan Zhao, Peng Liu
2021	A*	`conf`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2020	A*	`conf`	Correlation-Guided Attention for Corner Detection Based Visual Tracking. CVPR Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
2020	J	`jnl`	Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks. Neurocomputing Cangning Fan, Peng Liu, Ting Xiao, Wei Zhao, Xianglong Tang
2020	J	`jnl`	Generating attentive goals for prioritized hindsight reinforcement learning. Knowl. Based Syst. Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang
2020	J	`jnl`	Importance-weighted conditional adversarial network for unsupervised domain adaptation. Expert Syst. Appl. Peng Liu, Ting Xiao, Cangning Fan, Wei Zhao, Xianglong Tang, Hongwei Liu
2020	J	`jnl`	Joint Channel Reliability and Correlation Filters Learning for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
2020	J	`jnl`	Obtaining accurate estimated action values in categorical distributional reinforcement learning. Knowl. Based Syst. Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang
2020	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
2020	J	`jnl`	Visual Tracking by Structurally Optimizing Pre-Trained CNN. IEEE Trans. Circuits Syst. Video Technol. Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang
2020	J	`jnl`	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). 计算机科学 Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu
2019	J	`jnl`	An exploratory rollout policy for imagination-augmented agents. Appl. Intell. Peng Liu, Yingnan Zhao, Wei Zhao, Xianglong Tang, Zichan Yang
2019	J	`jnl`	Guided goal generation for hindsight multi-goal reinforcement learning. Neurocomputing Chenjia Bai, Peng Liu, Wei Zhao, Xianglong Tang
2019	J	`jnl`	Multi-level context-adaptive correlation tracking. Pattern Recognit. Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang
2019	J	`jnl`	Structure preservation and distribution alignment in discriminative transfer subspace learning. Neurocomputing Ting Xiao, Peng Liu, Wei Zhao, Hongwei Liu, Xianglong Tang
2018	J	`jnl`	Iterative landmark selection and subspace alignment for unsupervised domain adaptation. J. Electronic Imaging Ting Xiao, Peng Liu, Wei Zhao, Xianglong Tang
2018	J	`jnl`	Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context. IEEE Trans. Multim. Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang
2018	J	`jnl`	Spatial-temporal adaptive feature weighted correlation filter for visual tracking. Signal Process. Image Commun. Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
2017	J	`jnl`	A 3D/2D registration of the coronary arteries based on tree topology consistency matching. Biomed. Signal Process. Control. Songbo Liu, Peng Liu, Zhixun Li, Yingtao Zhang, Weimin Li, Xianglong Tang
2017	J	`jnl`	A hierarchical inferential method for indoor scene classification. Int. J. Appl. Math. Comput. Sci. Jingzhe Jiang, Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang
2017	J	`jnl`	Abnormal crowd motion detection using double sparse representation. Neurocomputing Peng Liu, Ye Tao, Wei Zhao, Xianglong Tang
2017	J	`jnl`	Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model. Int. J. Appl. Math. Comput. Sci. Yiran Xue, Peng Liu, Ye Tao, Xianglong Tang
2017	B	`conf`	Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection. ICTAI Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang
2017	B	`conf`	Making the torch lighter: Areinforced active sampling framework for image classification. ICIP Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao
2017	—	`conf`	RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images. ICONIP (6) Depeng Gao, Rui Wu, Jiafeng Liu, Qingcheng Huang, Xianglong Tang, Peng Liu
2016	J	`jnl`	Hierarchy-associated semantic-rule inference framework for classifying indoor scenes. J. Electronic Imaging Dan Yu, Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao
2016	J	`jnl`	Practice makes perfect: An adaptive active learning framework for image classification. Neurocomputing Zhipeng Ye, Peng Liu, Jiafeng Liu, Xianglong Tang, Wei Zhao
2016	J	`jnl`	Semantic middleware: multi-layer abstract semantics inference for object categorization. Int. Arab J. Inf. Technol. Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang
2015	J	`jnl`	A Survey of Knowledge Hierarchies for Image Analysis. Smart Comput. Rev. Zhipeng Ye, Peng Liu, Wei Zhao, Xianglong Tang
2015	J	`jnl`	Cognition inspired framework for indoor scene annotation. J. Electronic Imaging Zhipeng Ye, Peng Liu, Wei Zhao, Xianglong Tang
2015	J	`jnl`	Hierarchical abstract semantic model for image classification. J. Electronic Imaging Zhipeng Ye, Peng Liu, Wei Zhao, Xianglong Tang
2015	B	`conf`	Knowledge as action: A cognitive framework for indoor scene classification. ICIP Rui Wu, Zhipeng Ye, Peng Liu, Xianglong Tang, Wei Zhao
2015	B	`conf`	May the torcher light our way: A negative-accelerated active learning framework for image classification. ICIP Zhipeng Ye, Peng Liu, Xianglong Tang, Wei Zhao
2014	—	`conf`	Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model. ICONIP (3) Ye Tao, Peng Liu, Wei Zhao, Xianglong Tang
2013	J	`jnl`	Removal of dynamic weather conditions based on variable time window. IET Comput. Vis. Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang
2012	J	`jnl`	An Improved Guidance Image Based Method to Remove Rain and Snow in a Single Image. Comput. Inf. Sci. Jing Xu, Wei Zhao, Peng Liu, Xianglong Tang
2011	C	`conf`	A time, space and color-based classification of different weather conditions. VCIP Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang
2011	C	`conf`	Adaptive background estimation of outdoor illumination variations for foreground detection. VCIP Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang
2011	J	`jnl`	Banknote Image Retrieval Using Rotated QuaternionWavelet Filters. Int. J. Comput. Intell. Syst. Shan Gai, Peng Liu, Jiafeng Liu, Xianglong Tang
2010	J	`jnl`	2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints. J. Intell. Robotic Syst. Chenguang Liu, Peng Liu, Jiafeng Liu, Jianhua Huang, Xianglong Tang
2009	J	`jnl`	A NN Image Classification Method Driven by the Mixed Fitness Function. Comput. Inf. Sci. Shan Gai, Peng Liu, Jiafeng Liu, Xianglong Tang
2009	J	`jnl`	Pixel Based Temporal Analysis Using Chromatic Property for Removing Rain from Videos. Comput. Inf. Sci. Peng Liu, Jing Xu, Jiafeng Liu, Xianglong Tang
2006	J	`jnl`	An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition. Int. J. Document Anal. Recognit. Hui Zhu, Xianglong Tang, Peng Liu