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Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, and Zhaoran Wang. Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. International Conference on Learning Representations (ICLR), 2022
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, and Zhaoran Wang. Dynamic Bottleneck for Robust Self-Supervised Exploration. Neural Information Processing Systems (NeurIPS). 2021 (CCF-A 类会议)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, and Zhaoran Wang. Principled Exploration via Optimistic Bootstrapping and Backward Induction. International Conference on Machine Learning (ICML). 2021 (CCF-A 类会议)
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, and Zhaoran Wang. Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2021 (SCI收录，JCR-1，IF=10.5)
Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai and Peng Liu. Addressing Hindsight Bias in Multi-Goal Reinforcement Learning. IEEE Transactions on Cybernetics. 2021 (SCI 收录，JCR-1，IF=11.4)
Ting Xiao, Han Zheng, Xiaoning Wang, Xinghan Chen, Jianbo Chang, Jianhua Yao, Hong Shang, Peng Liu. Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2021(医学图像顶会)
范苍宁, 刘鹏, 肖婷, 赵巍, 唐降龙. 深度域适应综述: 一般情况与复杂情况. 自动化学报, 2021, 47(3): 515？548（EI收录，DOI = 10.16383）
Fei Du, Peng Liu, Wei Zhao, Xianglong Tang. Correlation-Guided Attention for Corner Detection Based Visual Tracking. Conference on Computer Vision and Pattern Recognition (CVPR). 2020 (CCF-A 类会议)
Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, and Xianglong Tang. Obtaining Accurate Estimated Action Values in Categorical Distributional Reinforcement Learning. Knowledge-based Systems. 2020 (SCI收录，JCR-1，IF=5.1)
Peng Liu, Chenjia Bai, Yingnan Zhao, et al. Generating Attentive Goals for Prioritized Hindsight Reinforcement Learning. Knowledge-based Systems. 2020 (SCI收录，JCR-1，IF=5.1)
Peng Liu, Ting Xiao, Cangning Fan, Wei Zhao, Xianglong Tang, Hongwei Liu. Importance-Weighted Conditional Adversarial Network for Unsupervised Domain Adaptation. Expert System with Applications. 2020 (SCI 收录，JCR-1，IF=4.3)
Cangning Fan, Peng Liu, Ting Xiao, et al. Domain Adaptation Based on Domain-invariant and Class-distinguishable Feature Learning using Multiple Adversarial Networks. Neurocomputing. 2020(SCI 收录，JCR-1，IF=4.0)
Fei Du, Peng Liu, Wei Zhao, and Xianglong Tang. Joint Channel Reliability and Correlation Filters Learning for Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 2019 (SCI收录，JCR-1，CCF-B，IF=3.5)
Chang Liu, Peng Liu, Wei Zhao, and Xianglong Tang. Visual Tracking by Structurally Optimizing Pre-trained CNN. IEEE Transactions on Circuits and Systems for Video Technology. 2019 (SCI收录，JCR-1，CCF-B，IF=3.5)
Ting Xiao, Peng Liu, Wei Zhao, Hongwei Liu and Xianglong Tang, Structure preservation and distribution alignment in discriminative transfer subspace learning. Neurocomputing. 2019. 337: 218-334 (SCI 收录，JCR-1, CCF-C，IF=3.2)
Chenjia Bai, Peng Liu, Wei Zhao and Xianglong Tang, Guided goal generation for hindsight multi-goal reinforcement learning, Neurocomputing, 2019（SCI收录，JCR-1 CCF-C，IF=3.2）
Peng Liu, Yingnan Zhao, Wei Zhao, et al. An exploratory rollout policy for imagination-augmented agents. Applied Intelligence. 2019 (SCI收录，JCR-2, CCF-C, IF=2.0)
Peng Liu, Chang Liu, Wei Zhao*, Xianglong Tang Multi-level Context-Adaptive Correlation Tracking, [J]. Pattern Recognition, 2018-10, DOI: 10.1016/j.patcog.2018.10.013 (SCI收录，IF=3.962)
Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang: Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context [J]. IEEE Trans. Multimedia, 20(4): 889-902(2018). (SCI收录，CCF-B, IF =3.509）
Ting Xiao, Peng Liu, Wei Zhao, Xianglong Tang: Iterative landmark selection and subspace alignment for unsupervised domain adaptation [J]. Journal of Electronic Imaging, 2018,27(03).（SCI收录，IF = 0.78）
Fei Du, Peng Liu, Wei Zhao, Xianglong Tang: Spatial-temporal adaptive feature weighted correlation filter for visual tracking [J]. Signal Processing: Image Communication, 67: 58-70 (2018)（SCI收录，IF = 2.073）
刘畅, 赵巍, 刘鹏,等. 目标跟踪中辅助目标的选择、跟踪与更新[J]. 自动化学报, 2018(7). （EI收录，DOI = 10.16383）
杜飞, 刘鹏, 赵巍, 唐降龙.一种大气湍流环境下的运动目标自适应检测方法[J]. 自动化学报. 2018（EI收录）
白辰甲, 刘鹏, 赵巍, 唐降龙. 基于TD-error自适应校正的深度Q学习主动采样方法[J]. 计算机研究与发展. 2018（EI收录）
赵英男, 刘鹏, 赵巍, 唐降龙. 深度Q学习的二次主动采样方法. 自动化学报[J]. 2018（EI收录）
Yiran Xue, Peng Liu, Ye Tao, Xianglong Tang: Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model [J]. Applied Mathematics and Computer Science, 27(1): 181(2017). (SCI收录，IF = 1.42)
Jingzhe Jiang, Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang: A hierarchical inferential method for indoor scene classification [J]. Applied Mathematics and Computer Science, 27(4): 839-852 (2017). (SCI收录，IF = 1.42)
Songbo Liu, Peng Liu, Zhixun Li, Yingtao Zhang, Weimin Li, Xianglong Tang: A 3D/2D registration of the coronary arteries based on tree topology consistency matching [J]. Biomedical Signal Processing and Control, 38: 191-199 (2017). (SCI收录，IF = 2.214)
Peng Liu, Ye Tao, Wei Zhao, Xianglong Tang: Abnormal crowd motion detection using double sparse representation [J]. Neurocomputing, 269: 3-12 (2017) (SCI收录，IF = 3.317)
Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao: Making the torch lighter: Areinforced active sampling framework for image classification [C]. ICIP 2017: 845-849. (CCF-C)
Depeng Gao, Rui Wu, Jiafeng Liu, Qingcheng Huang, Xianglong Tang, Peng Liu: RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images [C]. ICONIP (6) 2017: 642-651. (CCF-C)
Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang: Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection [C]. ICTAI 2017: 559-565
Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang: Semantic middleware: multi-layer abstract semantics inference for object categorization [J]. IInternational Arab Journal of Information Technology. 13(6A): 938-943 (2016) (SCI收录，IF = 0.519)
Dan Yu, Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao: Hierarchy-associated semantic-rule inference framework for classifying indoor scenes[J]. Journal of Electronic Imaging, 25(2): 023008 (2016). (SCI收录，IF = 0.616)
Zhipeng Ye，Peng Liu，Wei Zhao，Xianglong Tang. Practice makes perfect: An adaptive active learning framework for image classification[J]. Neurocomputing,2016. (SCI 收录，IF=2.392，DOI: 10.1016/j.neucom.2016.01.091)
Zhipeng Ye，Peng Liu，Wei Zhao，Xianglong Tang. Cognition inspired frame-work for indoor scene annotation[J]. Journal of Electronic Imaging, 2015, 4(5). (SCI 收录，IF=0.616，DOI: 10.1117/1.JEI.24.5.053013)
zhipeng Ye，Peng Liu，Wei Zhao，Xianglong. Hierarchical Abstract Seman-tic Model for Image Classification[J]. Journal of Electronic Imaging, 2015, 24(5). (SCI 收录，IF=0.616，DOI: 10.1117/1.JEI.24.5.053022)
Peng Liu，Zhipeng Ye，Wei Zhao，Xianglong Tang. Semantic Middleware: Multi-Layer Abstract Semantics Inference for Object Categorization[J]. Inter-national Arab Journal of Information Technology, 2018, 15(4).
Zhipeng Ye，Peng Liu，Xianglong Tang，Wei Zhao. May the torcher light our way: a negative-accelerated active learning framework for image classification[C], IEEE International Conference on Image Processing (ICIP), Quebec, 2015: 1658-1662. (EI 收录号：20160601896239)
Zhipeng Ye，Peng Liu，Wei Zhao，Xianglong Tang. A Survey of Knowledge Hierarchies for Image Analysis[J]. Smart Computing Review, 2015, 5(3): 224-237.
刘鹏，叶志鹏，赵巍，唐降龙. 一种多层次抽象语义决策图像分类方法[J]. 自动化学报，2015，41（5）：960-969.（EI 收录号：20152300905109）
叶志鹏, 赵巍, 刘鹏, 唐降龙, 元胞驻留视频群体状态预报方法, 哈尔滨工业大学学报, 2014.5.
叶志鹏，刘鹏，赵巍，唐降龙. 一种特征点格驻留元胞自动机人群场景分析方法[J]. 计算机应用研究，31（10）：3177-3180.
RuiWu，Zhipeng Ye，Peng Liu，Xianglong Tang，Wei Zhao. Knowledge as action: a cognitive framework for indoor scene classification[C]. IEEE International Conference on Image Processing (ICIP), Quebec, 2015: 3141-3144. (EI 收录号：20160601895848)
Dan Yu，Zhipeng Ye，Wei Zhao，Xianglong Tang. Precise image matching: a similarity measure approach[C]. International Conference on Intelligence Science and Big Data Engineering (IScIDE), Suzhou, 2015: 137-144. (EI 收录号：20155301740830)
Dan Yu， Peng Liu， Zhipeng Ye，Wei Zhao， Xianglong Tang. Hierarchy-associated semantic-rule inference framework for classifying indoor scenes[J]. Journal of Electronic Imaging (SCI 收录， IF=0.616， DOI:10.1117/1.JEI.25.2.023008).
Peng liu, Ye Tao, Wei Zhao, Xianglong Tang. Abnormal crowd motion detection using double sparse representation[J]. neurocomputing.
Ye Tao, Duzhou Zhang, Shengjun Cheng and Xianglong Tang. Improving semisupervised self-training with embedded manifold transduction[J].Transactions of the Institute of Measurement and Control, 2016. (已录用，SCI检索，DOI: 10.1177/0142331216658091)
Ye Tao, Peng Liu, Wei Zhao, Xianglong Tang. Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model[C]. International Conference on Neural Information Processing. Springer International Publishing, 2014: 50-57.(EI 收录号：20144700215230)
Ye Tao, Ye Jin, Peng Liu. A High Semantic Representation for Abnormal Events Detection in Crowded Scenes[C]. 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)(已录用，EI检索)
Yiran Xue, Peng Liu, Ye Tao, Xianglong Tang. Abnormal Prediction of Dense Crowd Videos by Purpose-driven Lattice Boltzmann Model[J]. International Journal of Applied Mathematics and Computer Science, 2017, Vol. 27, No. 1.(已录用， SCI检索，IF=1.218)
Jinzhe Jiang, Ye Tao,Wei Zhao, Xianglong Tang. Abnormal Crowd Motion Detection Using Double Sparse Representations[C].International Conference on Intelligent Science and Big Data Engineering. Springer International Publishing, 2015: 249-259.(EI 收录号：20155301740843)
P. Liu, J. Huang, W. Zhao, X. Wang, L. Meng, X. Tang, Asteroid 4179 Size Resolving via Optical Images Observed by Probe Chang’e-2, Int. Conf. on Asteroids, Comets, Meteors, 2014, Helsinki, Finland.
Jiangchuan Huang, Jianghui Ji, Peijian Ye, Xiaolei Wang, Jun Yan, Linzhi Meng, Su Wang, Chunlai Li, Yuan Li, Dong Qiao, Wei Zhao, Yuhui Zhao, Tingxin Zhang, Peng Liu, Yun Jiang, Wei Rao, Sheng Li, Changning Huang, Wing-Huen Ip, Shoucun Hu, Menghua Zhu, Liangliang Yu, Yongliao Zou, Xianglong Tang, et al., The Ginger-shaped Asteroid 4179 Toutatis: New Insights from a Successful Flyby of Chang’e-2, Nature - Scientific Report, www.nature.com/srep/about/press_releases/srep1213.html, 2013.12.
Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang. Background Subtraction Using Semantic-based Hierarchical GMM. IET Electronic Letters, 2012, 48(14): 825-827.
朱海龙, 刘鹏, 刘家锋, 唐降龙. 人群异常状态检测的图分析方法, 自动化学报, 2012, 38(5).
赵旭东, 刘鹏, 唐降龙, 刘家锋, 一种适应户外光超变化的背景建模及目标检测方法, 自动学报, 2011, 37(8): 915-922.
Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang, Feature Extraction for Classification of Different Weather Conditions, Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 339-346.
赵旭东, 刘鹏, 刘家锋, 唐降龙, 一种图像序列平稳性和相关性检验的天气场景分类方法,计算机研究与发展, 2011, 48(11):1973-1982.
Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang.A Time, Space and Color-based Classification of Different Weather Conditions. Visual Communication and Image Processing Conference (VCIP2011), Tainan, 2011.
于雪松, 赵巍, 刘鹏, 唐降龙, 基于混合跟踪模型的室内步行人体3D运动估计, 自动化学报, 2010, 36(6): 773-785.
刘鹏, 徐晶, 刘家锋, 唐降龙, 一种受雨滴污染视频的快速分析方法, 自动化学报, 2010, 36(10): 1371-1378.
Chenguang Liu, Peng Liu, Jiafeng Liu, Jianhua Huang, Xianglong Tang, 2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints, Journal of Intelligent & Robotic Systems, 2010, 58(2): 109-124.
朱海龙, 刘鹏, 刘家锋, 唐降龙, 窗口序列PCA投影降噪的二次前景分割方法. 计算机辅助设计与图形学学报, 2010, 22(9), 1545-1553.
盖杉, 刘鹏, 刘家锋, 唐降龙, 一种新的纸币图像特征提取方法. 通信学报,2010, 4, 128-133.
盖杉, 刘鹏, 刘家锋, 唐降龙. 基于Haar小波和模糊逻辑的纸币图像特征提取方法. 高技术通讯, 2010, 20(11), 95-99.
Gai Shan, Liu Peng, Liu Jiafeng, Tang Xianglong. The Design of HMM-based banknote recognition system. International Conference of Intelligent Computing and Intelligent Systems, 2009.
王玉茹, 刘家锋, 刘国军, 唐降龙, 刘鹏, 基于多区域联合粒子滤波的人体运动跟踪, 自动化学报, 2009, 35(11):1387-1393.
Wang Yuru, Liu Jiafeng, Liu Guojun, Tang Xianglong, Liu Peng, Observation and Analysis of High-speed Human Motion with Frequent Occlusion in a Large Area, Measurement Science & Technology, 2009, 20(12):103-121.
Liu Peng, Zhang Yan, Mao Zhigang. A Gaussian Mixture Model-Based Regularization Method in Adaptive Image Restoration. Journal of Electronics (China). 2007, 24(1).
刘鹏, 张岩, 毛志刚. 基于共生矩阵分析的自适应神经网络图像复原算法. 计算机辅助设计与图形学学报. 2006, 18(8): 1205-1211
刘鹏, 张岩, 毛志刚, 一种脉冲噪声图像复原算法, 计算机研究与发展, 2006, 43(11): 1939-1946.
Hui Zhu, X. L. Tang, Peng Liu. An MLP-orthogonal Gaussian Mixture Model Hybrid Model for Chinese Bank Check Printed Numeral Recognition. International Journal on Document Analysis and Recognition.2006, 8(1): 27-34
Liu Peng, Zhang Yan, Mao Zhigang. Nonlinear Diffusion Driven by Local Features for Image Denoising. IEEE International Conference on Cybernetics & Intelligent Systems. Bangkok. June, 6-9, 2006, 216-221.
刘鹏, 张岩, 毛志刚. 一种基于模糊函数的自适应平滑约束图像复原算法. 中国图像图形学报(A版).2005, 10(9): 1178-1183
徐晶, 刘鹏, 刘家锋, 唐降龙. 一种受雨滴影响的运动目标检测方法. 计算机研究与发展. 2009(46). 11.1885-1892.
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