Xuguang Lan, Ph.D.
Professor
Institute of Artificial Intelligence and Robotics
College of Artificial Intelligence
email:xglan@mail.xjtu.edu.cn
兰旭光，博士
教授，杰青
Introduction - 旭光 兰
兰旭光，教授，博士生导师，国家杰出青年科学基金获得者，国务院学位委员会学科评议组成员。于2005年12月在西安交通大学模式识别与智能系统专业获得工学博士学位，2005年5月到法国里昂中央理工大学作访问研究；同年12月进入西安交通大学计算机专业做博士后研究。2010年2月被选入西安交通大学“青年骨干教师培养计划”，2013.9-2014.10月在美国西北大学做访问学者。现为西安交通大学人工智能学院教授。
研究领域或方向：
1) 计算机视觉；
2）统计学习与模式识别；
3）深度强化学习与机器人学习；
4）多智能体博弈与决策；
5）人-机器人共融协作。
担任中国自动化学会共融机器人专委会主任委员，中国认知科学学会理事、副秘书长，人工智能学会“认知系统与信息处理”专委会副主任委员，仿真学会“智能无人系统建模仿真”专委会副主任委员。在人工智能与机器人领域的著名期刊和会议上如IEEE Trans和ICML/CVPR/RSS等发表论文110余篇，获得国家发明专利授权30余项，出版编著1部。主持国家自然科学基金重点、国家科技重大专项、科技创新2030人工智能重大项目等科研项目10余项。担任国际期刊IEEE Transactions on Neural Network Learning System、IET《Cognitive Computation and Systems》、《机器人》和《模式识别与人工智能》等期刊的编委。获2023年度“人工智能高层次人才培养新体系”项目获得高等教育（研究生）国家级教学成果一等奖（6/15）。曾担任IEEE CYBER2019 和ICIRA2021大会联合程序主席，IEEE RCAR2023大会主席，IEEE 高级会员。
Xuguang Lan received Ph.D. degree in Pattern Recognition and Intelligent System from Xi'an Jiaotong University in 2005. He was a visiting scholar of Northwestern University from Sep. 2013 to Oct. 2014, and Ecole Centrale de Lyon from May. 2005 to Sep. 2005. Currently, he is a professor of the College of Artificial Intelligence and Robotics in Xi’an Jiaotong University.
email：xglan@mail.xjtu.edu.cn
Research Interests:
1)Computer vision
2)Statistical Learning and Pattern Recognition
3)Deep Reinforcement Learning and Robot Learning
4) Multi-agent games and decision-making
5) Human-Robot collaboration
He serves as the director of the Trico-Robot Committee of the Chinese Society of Automation, and a member of a council and deputy secretary-general of the Chinese Society of Cognitive Sciences, and vice director of Intelligent Unmanned System Modelling and Simulation Committee of the Simulation Society, etc.. He has published more than 110 papers in famous journals and conferences in the field of artificial intelligence and robotics, such as IEEE Trans and ICML/CVPR/RSS, and has obtained more than 20 national invention patent. We gratefully acknowledge the support of National Natural Science Foundation for Distinguished Young Scholars, etc.. He serves on the editorial board of international journals such as IEEE Transactions on Neural Network Learning System, IET "Cognitive Computation and Systems", "Robotics" and "Pattern Recognition and Artificial Intelligence". He has served as the joint program chair of IEEE CYBER2019 and ICIRA2021 conferences, General Chair of IEEE RCAR2023, and a senior member of IEEE.
Xuguang Lan received Ph.D. degree in Pattern Recognition and Intelligent System from Xi'an Jiaotong University in 2005. He was a visiting scholar of Northwestern University from Sep. 2013 to Oct. 2014, and Ecole Centrale de Lyon from May. 2005 to Sep. 2005. Currently, he is a professor of the College of Artificial Intelligence and Robotics in Xi’an Jiaotong University.
email：xglan@mail.xjtu.edu.cn
Research Interests:
1)Computer vision
2)Statistical Learning and Pattern Recognition
3)Deep Reinforcement Learning and Robot Learning
4) Multi-agent games and decision-making
5) Human-Robot collaboration
He serves as the director of the Trico-Robot Committee of the Chinese Society of Automation, and a member of a council and deputy secretary-general of the Chinese Society of Cognitive Sciences, and vice director of Intelligent Unmanned System Modelling and Simulation Committee of the Simulation Society, etc.. He has published more than 110 papers in famous journals and conferences in the field of artificial intelligence and robotics, such as IEEE Trans and ICML/CVPR/RSS, and has obtained more than 20 national invention patent. We gratefully acknowledge the support of National Natural Science Foundation for Distinguished Young Scholars, etc.. He serves on the editorial board of international journals such as IEEE Transactions on Neural Network Learning System, IET "Cognitive Computation and Systems", "Robotics" and "Pattern Recognition and Artificial Intelligence". He has served as the joint program chair of IEEE CYBER2019 and ICIRA2021 conferences, General Chair of IEEE RCAR2023, and a senior member of IEEE.
1）Journal papers
[43] Mengyuan Ding, Chenjie Yang, Jianyi Liu, Xuguang Lan, Nanning Zheng. Relationship Detection for Manipulation in Object Stacking Scene with Fully Connected CRF[J]. Neurocomputing, 2024.
[42]Chengzhong Ma, Deyu Yang, Tianyu Wu, Zeyang Liu, Houxue Yang, Xingyu Chen, Xuguang Lan, Nanning Zheng. Improving Offline Reinforcement Learning With In-Sample Advantage Regularization for Robot Manipulation[J], IEEE Transactions on Neural Networks and Learning Systems, ISSN.2162-2388, DOI : 10.1109/TNNLS.2024.3443102, 2024.
[41] Ru Peng，Chao zhao，Xingyu Chen，Ziru Wang， Yaxin Liu，Yulong Liu， Xuguang Lan . A causality guided loss for imbalanced learning in scene graph generation[J]. Neurocomputing, 2024: 128042.
[40]Xingyu Chen, Jiaxu Liu, Zeyang Liu, Lipeng Wan, Xuguang Lan, Nanning Zheng. Knowledge Graph Enhancement for Fine-grained Zero-shot Learning on lma geNet21k[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, ISSN: 1558-2205.
[39] Shiguang Sun, Hanbo Zhang, Zeyang Liu, Xingyu Chen, Xuguang Lan. Optimal Bipartite Graph Matching-Based Goal Selection for Policy-Based Hindsight Learning[J]. Neurocomputing，2024，ISSN: 0925-2312.
[38] Ru Peng, Guoran Tan, Xingyu Chen, Xuguang Lan. Improving small object detection via cross-layer attention[J]. Fundamental Research, 2023, ISSN 2667-3258.
[37] Haotian Wang, Meng Yang, Xuguang Lan, Ce Zhu, and Nanning Zheng, Depth Map Recovery based on a Unified Depth Boundary Distortion Model, IEEE Trans. Image Process. (T-IP), Vol. 31, pp. 7020 - 7035, DOI : 10.1109/TIP.2022.3216768, 2022.
[36] 孙世光，兰旭光，张翰博等，基于模型的机器人强化学习研究综述[J]，模式识别与人工智能，2022(1). DOI:10.16451/j.cnki.issn1003-6059.202201001.
[35] Xingyu Chen, Jin Li, Xuguang Lan, Nanning Zheng, Generalized Zero-shot Learning via Multi-modal Aggregated Posterior Aligning Neural Network, IEEE Transactions on Multimedia, Vol. 24, pp. 177-187, DOI : 10.1109/TMM.2020.3047546, 2022.
[34] Hanbo Zhang, Deyu Yang, Han Wang, Binglei Zhao, Xuguang Lan, Jishiyu Ding, Nanning Zheng, REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter, IEEE Robotics and Automation Letters(RA-L), vol.7, no. 2, pp.2929-2936, DOI : 10.1109/LRA.2022.3142401, 2022.
[33] 丁梦远，兰旭光，彭茹，郑南宁，机器推理的进展与展望，模式识别与人工智能， vol. 34, no.1, pp.1-13,2021,DOI: 10.16451/j.cnki.issn1003-6059.202101001.
[32] Xingyu Chen, Chunyu Wang, Xuguang Lan, Nanning Zheng, Wenjun Zeng, Neighborhood Geometric Structure Preserving Variational Auto-Encoder for Smooth and Bounded Data Sources, IEEE Transactions on Neural Networks and Learning Systems, Vol:33,pp.3598 - 3611,DOI : 10.1109/TNNLS.2021.3053591, 2021.
[31] Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng, Visual Manipulation Relationship Recognition in Object-Stacking Scenes, Pattern Recognition Letters, Vol. 140, pp.34-42, Doi: 10.1016/j.patrec.2020.09.014, 2020.
[30] Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, and Nanning Zheng, A Joint Label Space for Generalized Zero-Shot Classification, IEEE Transactions on Image Processing，vol. 29, pp. 5817 - 5831, DOI：10.1109/TIP.2020.2986892, 2020.
[29] Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng, A Real-time Robotic Grasping Approach with Oriented Anchor Box, IEEE Trans. Syst. Man Cybern. Syst. , vol. 51, no.5, pp.3014-3025, Doi: 10.1109/TSMC. 2019.2917034, 2021.
[28] 万里鹏, 兰旭光, 张翰博, 郑南宁，深度强化学习理论及其应用综述，模式识别与人工智能, Vol.32,no.2, pp: 67-81, 2019.
[27] Guoqiang Liang, Xuguang Lan, Xingyu Chen, Kang Zheng, Song Wang, Nanning Zheng, Cross-View Person Identification based on Confidence-weighted Human Pose Matching. IEEE Trans. Image Processing, vol.28, no.8, pp.3821-3835, Aug. 2019.
[26] Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng, Robotic Grasping in Multi-Object Stacking Scenes based on Visual Reasoning. SCIENTIA SINICA Technologica, Volume 48, Issue 12: 1341-1356, November 2018.
[25] Meng Yang, Ce Zhu, Xuguang Lan, Nanning Zheng, Efficient Estimation of View Synthesis Distortion for Depth Coding Optimization, IEEE Trans. Multimedia, PP(99):1-1, September 2018. DOI:10.1109/TMM.2018.2870540.
[24] Guoqiang Liang, Xuguang Lan, Jiang Wang and Nanning Zheng, A limb-based Graphical Model for Human Pose Estimation. IEEE Trans. Syst. Man Cybern. Syst., vol.48, no.7, July 2018.
[23] Jin Li, Xuguang Lan, Xiangwei Li, Jiang Wang, Nanning Zheng, Ying Wu, Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval, IEEE Trans. Multimedia, vol. 19, no. 3, pp:559-570, Mar. 2017.
[22] Xingyu Chen, Xuguang Lan, Guoqiang Liang, Jianyi Liu, Nanning Zheng, Pose-and-illumination-invariant Face Representation via a Triplet-loss Trained Deep Reconstruction Model, Multimedia tools and application, vol. 76, no. 21, pp.22043–22058, November 2017.
[21] Xiangwei Li, Xuguang Lan, Meng Yang, Jianru Xue, Nanning Zheng, A New Compressive Sensing Video Coding Framework Based on Gaussian Mixture Model, Signal Processing: Image Communication, vol. 55, pp. 66-79, July 2017.
[20] Jin Li , Xuguang Lan, Jiang Wang , Meng Yang, Nanning Zheng, Fast Additive Quantization for Vector Compression in Nearest Neighbor Search, Multimedia tools and application, 2017, vol. 76, no. 22, pp 23273–23289, November 2017.
[19] Yi Lai, Xuguang Lan, Yuehu Liu, and Nanning Zheng, An efficient depth image-based rendering with depth reliability maps for view synthesis, Journal of Visual Communication and Image Representation, 2016, vol. 41, pp. 176-184, Nov. 2016.
[18] Xiangwei Li, Xuguang Lan, Meng Yang, JianruXue and Nanning Zheng, Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems, Sensors, vol.14, no.12, pp.23398-23418; doi:10.3390/s141223398,2014.
[17] M. Yang, Xuguang Lan, N. Zheng, and P. Cosman, Depth-assisted Temporal Error Concealment for Intra Frame Slices in 3D Video, IEEE Trans. Broadcasting, Vol.60 , no. 2, pp. 385 – 393, Ju. 2014.
[16] Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, Gang Zhou, Video object segmentation with shape cue based on spatiotemporal superpixel neighborhood, IET Computer Vision, Vol.8, no.1,pp.16 – 25, 2014.
[15] Shizhou Zhang, Jinjun Wang, Yihong Gong, Shun Zhang, Xinzi Zhang, Xuguang Lan, Image parsing by loopy dynamic programming. Neurocomputing 145: 240-249, 2014.
[14] Jianji Wang, Xuguang Lan, Nanning Zheng, Fractal image encoding with flexible classification sets, Chinese Science Bulletin, vol.59, no.14, pp.1597–1606, 2014.
[13] Zhiqiang Tian, Jianru Xue, Xuguang Lan, Ce Li, Nanning Zheng, Object Segmentation and Key-Pose based Summarization for Motion Video,Multimedia Tools and Applications, Vol. 72,no.2, pp 1773-1802, 2014.
[12] Meng Yang, Xuguang Lan, Nanning Zheng, Adaptive Multiple Description Coding for Hybrid Networks with Dynamic PLR and BER, Signal Processing: Image Communication, Vol. 28, no. 9, pp. 1132–1142, 2013.
[11] Ce Li, JianruXue, Nanning Zheng,Xuguang Lan, ZhiqiangTian, Spatio-temporal Saliency Perception Via Hypercomplex Frequency, Sensors, 2013.
[10] Xuguang Lan, Meng Yang, Yuan Yuan, Songlin Zhao, Nanning Zheng, Adaptively post-encoding multiple description videocoding, Neurocomputing, 101: 149-160, 2013 .
[9] Xuguang Lan, Nanning Zheng, Wen Ma, Yuanyuan, Arbitrary ROI-based Wavelet VideoCoding, Neurocomputing, vol.74, issue 12-13, pp. 2114-2122, June 2011.
[8] Yi Lai, Xuguang Lan, Xiangwei Li, Yuehu Liu, and Nanning Zheng, An Efficient Region of Interest Support in Scalable Multi-view Video Coding, IEEE Trans. Consumer Electronics, vol.57, no.3, pp. 1271-1279, Aug. 2011.
[7] Wei Hu,Jianru Xue,Xuguang Lan,Nanning Zheng,Local patch based regularized least squares model for compression artifacts removal, IEEE Trans. Consumer Electronics, vol.55, no. 4, pp. 2057 – 2065, 2009.
[6] Xuguang Lan, Nanning Zheng, Jianru Xue, Bin Gao and Xiaoguang Wu. Adaptive VoD Architecture based On Scalable Wavelet Video Coding. IEEE Trans. Consumer Electronics, vol.53, no.4, pp.: 1401-1409, November 2007.
[5] Xuguang Lan, Nanning Zheng and Yuehu Liu. Low-Power and High-Speed VLSI Architecture of 2-D DWT for Forward and Backward Transform. IEEE Trans.Consumer Electronics. vol.51, no. 2, pp.:379-385, May 2005.
[4] 兰旭光,郑南宁,梅魁志,刘跃虎. JPEG2000并行阵列式小波滤波器的VLSI结构设计.电子学报.Vol.32,No.11:1806-1809,2004.
[3] 兰旭光,郑南宁,薛建儒,刘跃虎,梅魁志. 小波滤波器低功耗并行的VLSI结构设计. 计算机研究与发展.vol.42,No.11: 1889-1995, 2005.
[2] 刘在德，兰旭光，张明新，参数化的Deslauriers-Dubuc插值小波构造及图像编码性能分析，自动化学报，vol.40, no.10, pp.2234-2345, 2014.
[1] 兰旭光，李兴玉，温灏，宏块并行可复用的H.264帧内解码器的VLSI结构设计, 微电子学与计算机, vol.31,no.4,2014.
2）Conference Papers
[70]Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan. Grounded Answers for Multi-agent Decision-making Problem through Generative World Model[C]. Annual Conference On Neural Information Processing Systems. 2024.
[69]Xiuquan Hou, Meiqin Liu, Senlin Zhang, Ping Wei, Badong Chen, Xuguang Lan. Relation DETR: Exploring Explicit Position Relation Prior for Object Detection. European Conference on Computer Vision(ECCV2024), September 29- October4，2024.
[68]Jiayuan Luo, YaXin Liu, Han Wang, Mengyuan Ding, Xuguang Lan*. Grasp Manipulation Relationship Detection based on Graph Sample and Aggregation, IEEE International Conference on Robotics and automation(ICRA2024), May 13- May 17，2024.
[67]Jie Xu, Hanbo Zhang, Qingyi Si, Yifeng Li, Xuguang Lan*, and Tao Kong. Towards Unified Interactive Visual Grounding in The Wild, IEEE International Conference on Robotics and automation(ICRA2024), May 13- May 17，2024.
[66]Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan*. Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks, IEEE International Conference on Robotics and automation(ICRA2024), May 13- May 17，2024.
[65]Zeyang Liu, Lipeng Wan, Xinrui Yang, Zhuoran Chen, Xingyu Chen, Xuguang Lan*. Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning[C] (oral). Proceedings of the AAAI Conference on Artificial Intelligence. February 20-27，2024.
[64]Mingyang Li, Fan Wu, Qian Kou, Long Qian, Xingyu Chen and Xuguang Lan*.Resource Orchestration and Scheduling Algorithms for Enhancing Distributed Reinforcement Learning. The 5th China Symposium on Cognitive Computing and Hybrid Intelligence(CCHI 2023), October 27-29, 2023, Nanjing, China
[63]Zewen Wu, Jian Tang, Xingyu Chen, Chengzhong Ma, Xuguang Lan* and Nanning Zheng. Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
[62]Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan*. Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning, the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), 2023.
[61]Han Wang,Jiayuan Zhang,Lipeng Wan, Xingyu Chen,Xuguang Lan*,Nanning Zheng.MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object- Stacked Scenes,IEEE International Conference on Robotics and automation(ICRA), January 2023.
[60] Haoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan*.Constrained Contrastive Reinforcement Learning.Proceedings of Machine Learing Research, ACML 2022.
[59] Xuwei Song, Lipeng Wan, Xingyu Chen and Xuguang Lan*. Option-based Multi-agent Exploration. 2022 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems， July 27-31, Changbai Mountain, China，2022.
[58] Mengyuan Ding, YaXin Liu, Chenjie Yang, Xuguang Lan*.Visual Manipulation Relationship Detection based on Gated Graph Neural Network for Robotic Grasping.2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
[57] Lipeng Wan, Zeyang liu, Xingyu Chen, Xuguang Lan*, Nanning Zheng. Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning (spotlight). International Conference on Machine Learning (ICML), Baltimore Maryland USA,July 17-23 2022.
[56] Jie Xu, Shihong Wang, Xingyu Chen, Jiahao Zhang, Xuguang Lan*, Nanning Zheng. A Continuous Learning Approach for Probabilistic Human Motion Prediction. IEEE International Conference on Robotics and Automation (ICRA), 2022.
[55] Xun Tan, Xingyu Chen, Guowei Zhang, Jishiyu Ding, Xuguang Lan*, MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection, 1st International Workshop on Multimedia Computing for Urban Data, 2021.
[54] Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan*, Nanning Zheng, INVIGORATE: Interactive Visual Grounding and Grasping in Clutter, RSS, 2021.
[53] Hanbo Zhang, Site Bai, Xuguang Lan*, David Hsu, Nanning Zheng, Hindsight Trust Region Policy Optimization, IJCAI-21(the 30th International Joint Conference on Artificial Intelligence), 2021.
[52] Jie Xu, Xingyu Chen, Xuguang Lan*, Nanning Zheng. Probabilistic Human Motion Prediction via A Bayesian Neural Network. IEEE International Conference on Robotics and Automation (ICRA). 2021.
[51] Binglei Zhao, Hanbo Zhang, Xuguang Lan*, Haoyu Wang, Zhiqiang Tian, Nanning Zheng. REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. 2021 IEEE International Conference on Robotics and Automation(ICRA), March, 2021.
[50] Han Wang, Xingyu Chen, Xuguang Lan*. An exploration of Domain Adaptation Applying to Grasp Detection Algorithm, The China Automation congress(CAC 2020), November, 2020,Shanghai, China
[49] Deyu Yang, Hanbo Zhang, Xuguang Lan*. Research on complex robot manipulation based on hindsight trust region policy optimization, The China Automation congress(CAC 2020), November, 2020,Shanghai, China
[48] Chuzhen Feng, Xuguang Lan*, Lipeng Wan, Zhuo Liang, Haoyu Wang, A Guided Evaluation Method for Robot Dynamic Manipulation, The 13th International Conference on Intelligent Robotics and Applications (ICIRA2020), November 5-7, Kuala Lumpur, Malaysia
[47] Lipeng Wan, Xuguang Lan*, Xuwei Song, Chuzhen Feng, Nanning Zheng, Periodic guidance learning. The 11th IEEE International Conference on Knowledge Graph (ICKG-2020), Nanjing, China, August 9-11 2020.
[46] Xingyu Chen, Xuguang Lan*, Fuchun Sun, Nanning Zheng. A Boundary Based Out-Of-Distribution Classifier for Generalized Zero-Shot Learning, the European Conference on Computer Vision (ECCV) （ONLINE， virtual confernce）， August 23-28 2020.
[45] Chenjie Yang,Xuguang Lan*, Hanbo Zhang, Nanning Zheng. Autonomous Tool Construction with Gated Graph Neural Network. 2020 IEEE International Conference on Robotics and Automation (ICRA). May. 31-June. 4, 2020. Paris, France.
[44] Jie Xu, Xuguang Lan*, Jin Li, Xingyu, Chen, Nanning Zheng, EAN: Error Attenuation Network for Long-term Human Motion Prediction, Proceedings of 2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019, pp.178-183, Sep. 2019, Xi'an China.
[43] Jieru Mei, Xingyu Chen, Chunyu,Wang, Alan,Yuille, Xuguang Lan*, Wenjun Zeng, Learning to Refine 3D Human Pose Sequences, Proceedings of International Conference on 3D Vision(3DV) 2019, p.358-366, Canada, Sep. 2019.
[42] Yongchao Wang, Xuguang Lan*, Chuzhen Feng, Lipeng Wan, Jin Li, Yuwang Liu and Decai Li, An experience-based policy gradient method for smooth manipulation,The 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems(IEEE-CYBER 2019),July, 2019,Suzhou, China
[41] Wensong Chan,Zhiqiang Tian, Shuai Liu, Jing Ren, Xuguang Lan*, Action recognition with spatial-temporal attention,Proceedings of 12th International Conference of Intelligent Robotics and Applications(ICIRA) 2019, Lecture Notes in Computer Science, v.11742, pp.461-471, Aug.2019, Shenyang China.
[40] Hanbo Zhang, Xuguang Lan*, Site Bai, Lipeng Wan, Chenjie Yang, Nanning Zheng. A Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes.2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Nov. 4-8, 2019. Macau, China.
[39] Chenjie Yang, Xuguang Lan*, Hanbo Zhang, Nanning Zheng. Task-oriented Grasping in Object Stacking Scenes with CRF-based Semantic Model. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Nov. 4-8, 2019. Macau, China.
[38] Hanbo Zhang, Xuguang Lan*, Site Bai, Xinwen Zhou, Zhiqiang Tian, Nanning Zheng. ROI-based Robotic Grasp Detection for Object Overlapping Scenes. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Nov. 4-8, 2019. Macau, China.
[37] Jin Li,Xuguang Lan*, Yang Liu, Le Wang, Nanning Zheng, Compressing Unknown Classes with Product Quantizer for Efficient Zero-Shot Classification, IEEE CVPR 2019, June 16-20, USA, 2019.
[36] Kang Wang, Xuguang Lan, Chuzhen Feng, Distributed Depth Video Coding Based on Compressive Sensing and Gaussian Mixture Models, Chinese Automation Congress, November 30- December 2, Xi'an, China, 2018.
[35] Chenjie Yang, Xuguang Lan*, Hanbo Zhang, Xinwen Zhou, Nanning Zheng. Visual Manipulation Relationship Detection with Fully Connected CRFs for Autonomous Robotic Grasp. IEEE International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur, Malaysia, December 12~15, 2018.
[34] Hanbo Zhang, Xuguang Lan*, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng, Visual Manipulation Relationship Network for Autonomous Robotics, IEEE/RAS 18th International Conference on Humanoids Robots (Humanoids), November, 6-9, Beijing, China, 2018.
[33] Xinwen Zhou, Xuguang Lan*, Hanbo Zhang, Zhiqiang Tian, Yang Zhang and Nanning Zheng, Fully Convolutional Grasp Detection Network with Oriented Anchor Box, IEEE International Conference on Intelligent Robots(IROS 2018), October, 1-5, Madrid, Spain, 2018.
[32] Guoqiang Liang, Xuguang Lan*, Kang Zheng, Song Wang, Nanning Zheng, Cross-View Person Identification by Matching Human Poses Estimated with Confidence on Each Body Joint, In AAAI Conference on Artificial Intelligence 2018, New Orleans, USA, 2018.
[31] Kang Wang, Xuguang Lan*, Xiangwei Li, Meng Yang, Nanning Zheng, Compressive Sensing Depth Video Coding via Gaussian Mixture Models and Object Edges, PCM 2017, Harbin, China, 2017.
[30] Hanbo Zhang, Xuguang Lan*, Xinwen Zhou, Vision-based robotic grasp success determination with convolutional neural network, The 7th Annual IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE CYBER2017), Hawaii, USA, 2017.
[29] Guoqiang Liang, Xuguang Lan*, Hanbo Zhang, Xingyu Chen, Nanning Zheng. Intention-based Human Robot Collaboration.19th International Conference on Intelligent Robotics and Applications (ICIRA 2017), Wuhan, China, 2017.
[28] Jin Li, Xuguang Lan*, Nanning Zheng, Iteratively Multiple Projections Optimization for Product Quantization in Nearest Neighbor Search, Int’l. Conf. Big Knowledge (ICBK) 2017, Hefei, China, 2017.
[27] Xiangwei Li, Xuguang Lan*, Meng Yang,Jianru Xue,Nanning Zheng, Efficient Compressive Sensing Video Compression Method Based on Gaussian Mixture Models, VCIP2016, pp. 1-4, 2016.
[26] Jiayi Chen, Xuguang Lan*, Meng Yang, Efficient Detail-enhanced Exposure Correction Based on Auto-fusion for LDR Image, Proceedings of the IEEE 18th Workshop on Multimedia Signal Processing. Montreal, Canada, 2016.
[25] Guoqiang Liang, Xuguang Lan*, Jiang Wang, Nanning Zheng, Human pose estimation based on human limbs, ICPR 2016, Cancun, Mexico, Dec. 2016.
[24] Qiong Xue, Xuguang Lan*, and Meng Yang, Depth Map Coding by Modeling the Locality and Local Correlation of View Synthesis Distortion in 3-D Video, MMM2016, pp.1-12, Miami, Florida, USA, 2016.
[23] Xiangwei Li, Xuguang Lan*, Meng Yang, Jianru Xue, and Nanning Zheng, Optimized Truncation Model for Adaptive Compressive Sensing Acquisition of Images, IEEE VCIP 2015, pp.1-4, Singapore, 2015.
[22] Meng Yang, Ce Zhu, Xuguang Lan*, and Nanning Zheng, Parameter-free View Synthesis Distortion Model with Application to Depth Video Coding, IEEE International Symposium on Circuits and Systems (ISCAS2015), pp.1-4, Portugal, 2015.
[21] Xiangwei Li, Xuguang Lan*, Meng Yang, JianruXue, Nanning Zheng: Universal and low-complexity quantizer design for compressive sensing image coding. IEEE VCIP 2013: 1-5, 2013.
[20] Jin Li, Gang Hua, Xuguang Lan*, Nanning Zheng: An Integrated Model for Bayesian Learning of Sparse Representation and Classifier Training. PCM 2013: 620-628, 2013.
[19] M. Yang, Y. Yang, P. Cosman, Depth-assisted Error Concealment for Intra Frame Slices in 3D Video, in Proc. ICIP 2012, Orlando, FL, USA, pp. 1281-1284, Oct.2012.
[18] Yi Lai, Xuguang Lan*, Yuehu Liu, and Nanning Zheng, Improved view synthesis with depth reliability maps, The IEEE Data Compression Conference (DCC2012). April, 2012, Snowbird, Utah, USA.
[17] Yi Lai, Xuguang Lan*, Yuehu Liu, and Nanning Zheng, Disocclusion using depth reliability map for view synthesis, The 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2012). April, 2012, Japan.
[16] Yi Lai, Xuguang Lan*, e.t., Region of Interest Support in Scalable Multi-View Video Coding, Proc. ICCE 2011, Las Vagas, USA, Jan. 2011.
[15] Meng Yang, Xuguang Lan*, and Nanning Zheng, Explicit Network-Adaptive Robust Multiple Description Coding, Proc. IEEE DCC 2011, Las Vagas, USA, March 2011.
[14] Meng Yang, Xuguang Lan*, and Nanning Zheng, Design of Error-Resilient M-description Codec over Wireless Broadcasting Networks, Proc. 8th Annual IEEE Consumer Communications and Networking Conference (IEEE CCNC2011), Las Vagas, USA, Jan. 2011.
[13] Meng Yang, Xuguang Lan*, and Nanning Zheng, Consecutive Redundancy Control for Robust Multiple Description Coding over Unreliable Networks, Proc. IEEE Wireless Communications and Networking Conference (IEEE WCNC2011), Mar. 2011.
[12] Zhiqiang Tian, Jianru Xue, Ce Li, Xuguang Lan*, Nanning Zheng, Auto-generated Strokes for Motion Segmentation,IEEE International Symposium on Circuits and Systems 2011, May, 2011, Brazil
[11] Zhiqiang Tian, Jianru Xue, Nanning Zheng, Xuguang Lan*, Ce Li, 3D Spatio-temporal Graph Cuts for Video Objects Segmentation, IEEE International Conference on Image Processing (ICIP 2011), Sep. 2011, Belguim
[10] Zhiqiang Tian, Jianru Xue, Xuguang Lan*, Ce Li, Nanning Zheng, Key Object-based Static Video Summarization, ACM Multimedia 2011, Nov. 2011
[9] Xuguang Lan, Nanning Zheng, e.t. Arbitrary ROI-based Wavelet Video Coding, Proc. IEEE Data Compression Conference (DCC 2010) 2010, March, 2010, Snowbird, Utah, USA.
[8] Xuguang Lan, Nanning Zheng, JianruXue, Ce Li, and Songlin Zhao. Joint Network-Source Video Coding based on Lagrangian Rate Allocation, Proc. IEEE Data Compression Conference (DCC 2009) 2009, March, 2009, Snowbird, Utah, USA.
[7] Xuguang Lan, Jianru Xue, A Peer-to-Peer Architecture with DRM, Proc. IEEE CCNC2009, Las Vagas, USA, pp.1-5, Jan. 2009.
[6] Xuguang Lan, Nanning Zheng, Jianru Xue, Songlin Zhao and Weike Chen, Scalable Multiple Description Coding Based On Bitplane And Lagrangian Rate Allocation, Proc. IEEE Consumer Communications & Networking Conference (CCNC 2008), pp. 811-812, Jan. 10 - 12,2008, Las Vegas, Nevada, USA.
[5] Xuguang Lan, Nanning Zheng, Jianru Xue, Weike Chen, Bin Wang and Wen Ma, Songlin Zhao. A Peer-to-Peer Architecture Based on Scalable Video Coding. Proc. IEEE Data Compression Conference (DCC 2008) 2008, pp.529, March 25 - 27, 2008, Snowbird, Utah, USA.
[4] Xuguang Lan, Nanning Zheng, Jianru Xue, Xiaoguang Wu and Bin Gao, Weike Chen, Manageable Peer-to-Peer Architecture for Video-on-Demand, Proc. 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS2008), pp.1-7, April 14-18, 2008, Miami, Florida USA.
[3] Xuguang Lan, Nanning Zheng, Jianru Xue, Xiaoguang Wu and Bin Gao. A Peer-to-Peer Architecture for Efficient Live Scalable Media Streaming on Internet, Proc. ACM Multimedia 2007, pp.783-786, Sep. 24-29, 2007, Augsburg, Germany
[2] Jianru Xue, Shugang Guo and Xuguang Lan. Joint Content and Temporal Correlation Adaptive MCTF, Proc. The 26th Picture Coding Symposium (PCS2007).12-13 November 2007, Lisbon, Portugal.
[1] Xuguang Lan, Nanning Zheng and Yuehu Liu. Low-Power and High-Speed VLSI Architecture of 2-D DWT for JPEG 2000.Proc. IEEE International Symposium on Consumer Electronics Proceedings, pp.110-113.2004 UK.
3)Conference Proceedings
[2] Nanning Zheng, GerogeLoizou, Xiaoyi Jiang, Xuguang Lan and Xuelong Li (Guest Editors), Special Issue: Computer Vision and Pattern Recognition, International Journal of Computer Mathematics, Vol. 84, No. 9, September, 2007. ISSN 0020-7160
[1] Nanning Zheng, Xiaoyi Jiang, Xuguang. Lan (Eds.). Advances in Machine Vision, Image Processing, and Pattern Analysis, IWICPAS2006, Springer LNCS 4153, 2006, ISBN:3-540-37597-x; ISSN:0302-9743.
国家发明专利30余项授权,其余部分在申请中
[35] 一种针对通用夹持器的智能机器人抓取方法及系统.。兰旭光，赵冰蕾，张珈源，郑南宁，专利申请号：2023117889252，中国，2023.12.22
[34] 基于门控图神经网络的机器人操作关系检测方法及系统。兰旭光,丁梦远,刘亚新,杨辰杰,陈星宇，专利申请号：202311816962X，中国，2023.12.26
[33] 基于多视图数据的堆叠场景操作关系检测方法及系统。兰旭光,王涵,张珈源,万里鹏,陈星宇,专利申请号：2023118119550，中国，2023.12.26
[32] 基于近似同步估计的多AGV调度策略评估与优化方法及系统。 兰旭光,万里鹏,宋徐威,专利申请号：2023110992657,中国，2023.08.29（公开日：2023.11.10）
[31] 基于贪婪值表征的多无人搬运车调度方法及系统。兰旭光,万里鹏,刘泽阳,专利申请号：2023111001469,中国，2023.08.29（公开日：2023.12.01）
[30] 一种基于模型强化学习的智能体路径规划方法及系统。兰旭光；刘亚新；王浩宇； 陈星宇， 田智强，齐欧，刘海进，专利申请号：2023106371644 ，中国，2023.05.31（公开日：2023.08.25）
[29] 基于视觉推理的机器人自主抓取系统。兰旭光；张瀚博；丁梦远； 王涵， 著作权号：CR202200251 ，2022年05月
[28]一种基于贪婪值表征的多智能体协同决策方法。兰旭光; 万里鹏; 刘泽阳， 专利申请号：XJ2022CN07040, 中国，,2022-8-29
[27]一种基于近似同步估计的多智能体策略评估方法。兰旭光; 万里鹏; 宋徐威, 中国, 专利申请号：XJ2022CN05537，中国,2022-4-8
[26]一种可持续学习的人体运动预测方法。发明人：兰旭光,许杰,王仕鸿,陈星宇,张家豪。专利申请号：202210505137.7,中国，2022.05.10（公开日：2022.07.15）
[25] 基于动态层级通信网络的多智能体强化学习方法。发明人：兰旭光,刘泽阳,万里鹏,睢雪,丁季时雨,董博,杨皙睿。专利申请号：202111216476.5，中国，2021.10.19（公开日：2022.01.11）
[24] 一种基于多模态融合的三维目标检测方法及系统。发明人：兰旭光；谈逊；陈星宇。专利申请号：202111648759.7, 中国，2021.12.29（公开日：2022.05.20）
[23] 基于动态层级通信网络的多智能体强化学习方法及系统。发明人：兰旭光；刘泽阳；万里鹏；睢雪；丁季时雨；董博；杨皙睿。专利申请号：202111216476.5, 中国，2021.10.19（公开日：2022.01.11）
[22] 适用于旋翼无人机的被动式快速抓取机械手。发明人：兰旭光；唐湘毅；刘瑾瑜；雷博书。专利申请号：202011262363.4, 中国，2020.11.12（公开日：2021.03.12）
[21] 基于事后经验的信赖域策略优化方法、装置及相关设备。发明人：兰旭光；张翰博；柏思特；郑南宁。专利申请号：202010713458.7, 中国，2020.07.22（公开日：2020.12.18）
[20] 基于图神经网络的机器人自主工具构建方法、系统及相关设备。发明人：兰旭光；杨辰杰；张翰博；郑南宁。专利申请号：202010652687.2, 中国，2020.07.08（公开日：2020.11.10）
[19] 一种基于外分布样本检测的广义零样本目标分类方法、装置及相关设备。发明人：兰旭光；陈星宇；郑南宁。专利申请号：202010652682X, 中国，2020.07.08（公开日：2020.11.10）
[18] 一种基于三维视觉的智能机器人抓取方法。发明人：兰旭光；赵冰蕾；张翰博；郑南宁。专利申请号：202010652696.1, 中国，2020.07.08（公开日：2020.11.10）
[17] 一种基于端对端网络的机器人视觉推理抓取方法。发明人：兰旭光；张翰博；周欣文；田智强；郑南宁。专利申请号：201910093952.5, 中国，2019.01.30（公开日：2019.06.21）
[16] 一种基于视觉推理的机器人作业方法。发明人：兰旭光；张翰博；周欣文；张扬；田智强；郑南宁。专利申请号：201810924992.5, 中国，2018.08.14（公开日2019.01.08）
[15] 一种基于最优截断模型的自适应压缩感知图像获取方法。发明人：兰旭光，李翔伟，杨勐，薛建儒，郑南宁。专利号：ZL201510368776.3, 中国，2015年10月（2018年12月7日授权）
[14] 一种基于高斯混合模型的压缩感知视频编解码方法。发明人：兰旭光，李翔伟，杨勐，薛建儒，郑南宁。专利申请号：ZL201510944725.0 , 中国，2015年10月(2019-10-11授权)
[13] 并行阵列式帧内预测解码器VLSI结构设计方法，发明人：兰旭光，杨志远，韩骞逸，李兴玉，专利号：ZL201010223353.X，中国，2010.07.09（公开日：2010.12.01）
[12] 并行流水运动补偿滤波器VLSI结构设计方法，发明人：兰旭光，惠苗，郜金金，李兴玉，专利号：ZL201010222854.6，中国，2010.07.09（公开日：2010.11.17）
[11] P2P流媒体网络自适应分级传输结构设计方法，发明人：兰旭光，陈伟科，薛健儒，毕重远，王斌，郑南宁，专利号：ZL200810236553.1，中国，2008.12.31（公开日：2009.07.08）
[10] 可伸缩视频编码的P2P网络传输体系结构设计方法，发明人：兰旭光，薛建儒，郑南宁，吴晓光，高彬，ZL200710017759.0，中国，2007.04.28（公开日：2007.10.17）
[9] 易于管理的实时流媒体P2P网络传输系统设计方法，发明人：兰旭光，薛建儒，郑南宁，吴晓光，高彬，赵松霖，陈伟科，ZL200710017761.8，中国,2007.04.28（公开日：2007.10.24）
[8] 基于码率控制的可伸缩多描述视频编码结构设计方法，发明人：兰旭光，赵松霖，薛健儒，王斌，李策，惠苗，郑南宁，专利：ZL200810236445.4，中国，2008.12.24（公开日：2009.07.08）
[7] 基于感兴趣区域运动补偿时域滤波技术，发明人：兰旭光，马雯，薛健儒，王斌，郑南宁，专利号：ZL200810236531.5，中国，2011.6
[6] 基于感兴趣区域的自适应可伸缩视频编解码结构设计方法，发明人：兰旭光，薛健儒，郑南宁，惠苗，李策，陆硕，ZL200810232550.0，中国，2008.12.02（公开日：2009.04.29）
[5] 一种自适应运动补偿时域滤波的方法，发明人：薛建儒，郭树岗，郑南宁，兰旭光，ZL200710017715.8，中国，2007.04.20（公开日：2007.10.03）
[4] 一种分布式多格式数字视频转码结构设计方法，发明人：薛健儒，杨国安，田智强，胡伟，付强，杨致远，兰旭光，ZL200810232701.2，中国, 2008.12.26（公开日：2009.06.17）
[3] 内在并行的二维离散小波变换的VLSI结构设计方法.发明人：兰旭光，郑南宁，周宁，梅魁志。专利号：ZL031146023，中国，2003.04.07（公开日：2003.10.15）
[2] 可伸缩视频编解码体系结构设计方法,发明人：薛建儒，兰旭光，郑南宁。专利号： ZL200510041909.2，中国
[1] 高性能空域可伸缩的运动估计与运动矢量编码实现方法,发明人：兰旭光，薛建儒，郑南宁。专利申请号：ZL200510041910.5，中国，2005.04.07（公开日：2005.09.07）
