校内登录

个人信息 更多+
  • 教师姓名： 兰旭光
  • 电子邮箱：
  • 所在单位： 人工智能学院
  • 学历： 博士研究生毕业
  • 性别： 男
  • 学位： 博士
  • 职称： 教授
  • 博士生导师： 是
  • 硕士生导师： 是

当前位置： 中文主页 - 基本信息
简介

    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做访问研究；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理事，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，中国人工智能学会“认知系统与信息处理”专委会副主任委员，中国仿真学会“智能无人系统建模仿真”专委会副主任委员，中国电机工程学会副主任委员。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100余篇，获得国家发明专利授权30余项，出版编著2部。主持国家自然科学基金、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30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。获中国自动化学会科学技术进步奖一等奖（排1，2024年），吴文俊人工智能科学技术进步一等奖（排3，20225年），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和ICIRA2024大会主席，IEEE 高级会员。

 

 

introduction

Xuguang Lan is a professor and Ph.D. supervisor.He is a recipient of the National Science Fund for Distinguished Young Scholars and a member of the Discipline Appraisal Group of the Academic Degrees Committee of the State Council.He received his Ph.D. degree in Pattern Recognition and intelligent System from Xi'an Jiaotong University in December 2005.From May to September 2005,he was a visiting researcher at Ecole Centrale de Lyon,France.In December 2005,he began his postdoctoral research at the School of Computer Science,Xi'an Jiaotong University.In February 2010,he was selected into the "Young Backbone Teacher Training Program" of Xi'an Jiaotong University.From September 2013 to October 2014,he was a visiting scholar at Northwestern University,USA.Currently,he is a professor at the College of Artificial Intelligence,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 a Council Member of the Chinese Association of Automation,Director of the Trico-Robot Committee of the Chinese Association of Automation,Council Member and Deputy Secretary-General of the Chinese Society,Vice Director of the "Cognitive Systems and Information Processing" Committee of the Chinese Association for Artificial Intelligence,Vice Director of the "Intelligent Unmanned System Modelling and Simulation" Committee of the Chinese Association for System Simulation,and Vice Director of the Chinese Society for Electrical Engineering.

He has published over 100 papers in renowned journals and conferences in the fields of artificial intelligence and robotics,such as IEEE Transactions,ICML,CVPR,and RSS,and has obtained more than 30 national invention patents.He has published 2 monographs.He has presided more than 30 research projects,including the National Natural Science Foundation of China,National Science and Technology Major Project,and the Innovation 2030 Artificial Intelligence Major Project.

He serves on the editorial board of international journals such as IEEE Transactions on Neural Networks and Learning Systems,IET Cognitive Computation and Systems,Robotics,and Pattern Recognition and Artificial Intelligence.

He received th First Prize of Science and Technology Progress Award from the Chinese Association of Automation(ranked 1st,2024),the First Prize of Wu Wenjun Artificial Intelligence Science and Techonology Progress Award(ranked 3rd,2025),and the First Prize of National Teaching Achievement Award for Graduate Education(ranked 6th of 15).

He has served as the Joint Program Chair of IEEE CYBER 2019 and ICIRA 2021,General Chair of IEEE RCAR 2023 and ICIRA 2024,and is a Senior Member of IEEE.

                         人机协作

  

  

Publication

1） Journal papers

 

  1. Zeyang Liu, Lipeng Wan, Shiguang Sun, Xue Sui, Xingyu Chen, Xuguang Lan*, Nanning Zheng. Enhancing Value Decomposition with Target Transformation in Cooperative Multi-Agent Reinforcement Learning[J]. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
  2. Ziru Wang, Wanli Jiang, Zeyang Liu, Xuguang Lan*. Boosting Extrapolation Capabilities in Model-free Offline Reinforcement Learning[J]. in IEEE Transactions on Cognitive and Developmental Systems  , 2026.
  3. Menghao Pu, Chaoqun Han, Zhiping Chai , Yifan Zhou, Pu Wen, Jihong Zhu, Chao Wang, Han Ding , Xuguang Lan, and Zhigang Wu,D2TriPO-DETR: Dual-Decoder Triple-Parallel-Output Detection Transformer[J], in IEEE Transactions on Industrial Informatics,2026，DOI: 10.1109/TII.2026.3668360.
  4. 罗佳媛, 刘泽阳, 兰旭光*. 基于多模态扩散策略的长时任务规划[J]. 机器人, 2025, 47(4): 548-558. DOI: 10.13973/j.cnki.robot.250192.
  5. Zhan  Lulu, Mankun Li, Meng Yang, Xuguang Lan* and Ce Zhu. Relative depth knowledge distillation for generalizable monocular depth estimation[J].in Neurocomputing ，671,132632，2026,DOI: 10.1016/j.neucom.2026.132632.
  6. Hui Jiang, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Shanling Dong, and Xuguang Lan. ETLight: An Evolution Transformer for Efficient Traffic Signal Control[J], in IEEE Transactions on Intelligent Transportation Systems,2026，27（1）,1328-1337, DOI: 10.1109/TITS.2025.3629415.

  7. Zechen Shi, Xingyu Chen, Zeyang Liu, Xinrui Yang, Chi Zhang, Yimeng Yu, Junbin You, Xuguang Lan*. Flight Mastery in Turbulent Skies: Shared Control and Curriculum Reinforcement Learning for Crosswind Landing[J],  in IEEE Transactions on Intelligent Transportation Systems, 2025, 26(10), 15546-15557,  DOI: 10.1109/TITS.2025.3599932.

  8. 兰旭光.具身智能：驱动新一轮科技革命和产业变革的核心力量[J].人民论坛,2025,(09):40-44.
  9. Qinru Shi, Meiqin Liu, Senlin Zhang, Xuguang Lan. Reinforcement Learning for Multi-Agent Path Finding in Large-Scale Warehouses via Distributed Policy Evolution[J],in IEEE Robotics and Automation Letters,2025,10(8),7843-7850, DOI: 10.1109/LRA.2025.3579647.
  10. Peng R, Chen X, Xuguang Lan*. Adversarial Mixup-Based Contrast Learning for Data-Driven Predictive Maintenance in Long-Tailed Recognition[J].in IEEE Transactions on Consumer Electronics, 2025,71(2),5249-5258,DOI: 10.1109/TCE.2025.3563895.
  11. Ziru Wang, Wanli Jiang, Ru Peng, Qian Kou, Lipeng Wan, Xuguang Lan*. Improving Sample Efficiency through Stability Enhancement in Deep Reinforcement Learning[J]. in IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2025,55(9),6164-6176,DOI: 10.1109/TSMC.2025.3578050.
  12. Mengyuan Ding, Yaxin Liu, Yaorui Shi, Xuguang Lan*, Nanning Zheng. Dual Graph Attention Networks for Multi-View Visual Manipulation Relationship Detection and Robotic Grasping[J].in  IEEE Transactions on Automation Science and Engineering, 2025,22,13694-13705,DOI: 10.1109/TASE.2025.3555206.
  13. 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], in IEEE  Transactions on Neural Networks and Learning Systems, 2025.36(6), 11215-11227,DOI : 10.1109/TNNLS.2024.3443102.
  14. Mengyuan Ding, Chenjie Yang, Jianyi Liu, Xuguang Lan*, Nanning Zheng. Relationship Detection for Manipulation in Object Stacking Scene with Fully Connected CRF[J]. in Neurocomputing, 2024,611,128661,DOI:10.1016/j.neucom.2024.128661.
  15. 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]. in Neurocomputing, 2024,599,128042,DOI:10.1016/j.neucom.2024.128042.
  16. 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]. in IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10),9090-9101,DOI: 10.1109/TCSVT.2024.3396215.
  17. Shiguang Sun, Hanbo Zhang, Zeyang Liu, Xingyu Chen, Xuguang Lan*. Optimal Bipartite Graph Matching-Based Goal Selection for Policy-Based Hindsight Learning[J]. in Neurocomputing，2024，591,127734,DOI:10.1016/j.neucom.2024.127734.
  18.  Ru Peng, Guoran Tan, Xingyu Chen, Xuguang Lan*. Improving small object detection via cross-layer attention[J].in Fundamental Research, 2025, 5(4),1737-1742,DOI:10.1016/j.fmre.2022.09.037.
  19. Haotian Wang, Meng Yang, Xuguang Lan*, Ce Zhu, and Nanning Zheng, Depth Map Recovery based on a Unified Depth Boundary Distortion Model[J], in IEEE Trans. Image Process. 022,31, 7020 - 7035, DOI : 10.1109/TIP.2022.3216768.
  20. 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，2022,35(1). 1-16,DOI:10.16451/j.cnki.issn1003-6059.202201001.
  21. Xingyu Chen, Jin Li, Xuguang Lan*,  Nanning Zheng, Generalized Zero-shot Learning via Multi-modal Aggregated Posterior Aligning Neural Network[J], in IEEE Transactions on Multimedia, 2022,24, 177-187, DOI : 10.1109/TMM.2020.3047546.
  22. 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[J],in IEEE Robotics and Automation Letters(RA-L), 2022,7(2), 2929-2936, DOI : 10.1109/LRA.2022.3142401.
  23. 丁梦远，兰旭光，彭茹，郑南宁，机器推理的进展与展望[J]，模式识别与人工智能， vol. 34, no.1, 1-13,2021,DOI: 10.16451/j.cnki.issn1003-6059.202101001.
  24. Xingyu Chen, Chunyu Wang, Xuguang Lan, Nanning Zheng, Wenjun Zeng, Neighborhood Geometric Structure Preserving Variational Auto-Encoder for Smooth and Bounded Data Sources[J], in IEEE  Transactions on Neural Networks and Learning Systems, Vol:33,3598 - 3611,DOI : 10.1109/TNNLS.2021.3053591, 2021.
  25. Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng, Visual Manipulation Relationship Recognition in Object-Stacking Scenes[J], in Pattern Recognition Letters,  Vol. 140, 34-42, Doi: 10.1016/j.patrec.2020.09.014, 2020.
  26. Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, and Nanning Zheng, A Joint Label Space for Generalized Zero-Shot Classification[J], in IEEE Transactions on Image Processing，vol.  29, 5817 - 5831, DOI：10.1109/TIP.2020.2986892, 2020.
  27. Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng, A Real-time Robotic Grasping Approach with Oriented Anchor Box[J], in IEEE Trans. Syst. Man Cybern. Syst. , vol. 51,  no.5, 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[J]，模式识别与人工智能, Vol.32,no.2,  67-81, 2019.
  29. Guoqiang Liang, Xuguang Lan, Xingyu Chen, Kang Zheng, Song Wang, Nanning Zheng, Cross-View Person Identification based on Confidence-weighted Human Pose Matching[J]. IEEE Trans.  Image Processing, vol.28, no.8, 3821-3835, Aug. 2019.
  30. Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng, Robotic Grasping in Multi-Object Stacking Scenes based on Visual Reasoning[J]. SCIENTIA SINICA    Technologica, Volume 48, Issue 12: 1341-1356, November 2018.
  31. Meng Yang, Ce Zhu, Xuguang Lan, Nanning Zheng, Efficient Estimation of View Synthesis Distortion for Depth Coding Optimization[J],  IEEE Trans. Multimedia, PP(99):1-1, September 2018. DOI:10.1109/TMM.2018.2870540.
  32. Guoqiang Liang, Xuguang Lan, Jiang Wang and Nanning Zheng, A limb-based Graphical Model for Human Pose Estimation[J]. IEEE Trans. Syst.  Man Cybern. Syst., vol.48, no.7, July 2018.
  33. 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[J], IEEE Trans. Multimedia, vol. 19, no. 3, 559-570, Mar. 2017.
  34. Xingyu Chen, Xuguang Lan, Guoqiang Liang, Jianyi Liu, Nanning Zheng, Pose-and-illumination-invariant Face Representation via a Triplet-loss  Trained Deep Reconstruction Model[J], Multimedia tools and application, vol. 76, no. 21, 22043–22058, November 2017.
  35. Xiangwei Li, Xuguang Lan, Meng Yang, Jianru Xue, Nanning Zheng, A New Compressive Sensing Video Coding Framework Based on Gaussian Mixture Model[J], Signal Processing: Image     Communication, vol. 55, 66-79, July 2017.
  36. Jin Li , Xuguang Lan, Jiang Wang , Meng Yang, Nanning Zheng, Fast Additive Quantization for Vector Compression in Nearest Neighbor Search[J], Multimedia tools and application, 2017, vol. 76,  no. 22, 23273-23289， November 2017.
  37. Yi Lai, Xuguang Lan, Yuehu Liu, and Nanning Zheng, An efficient depth image-based rendering with depth reliability maps for view synthesis[J], Journal of Visual Communication and Image  Representation, 2016, vol. 41, 176-184, Nov. 2016.
  38. Xiangwei Li, Xuguang Lan, Meng Yang, JianruXue and Nanning Zheng, Efficient Lossy Compression for Compressive Sensing  Acquisition of Images  in Compressive Sensing Imaging Systems[J],  Sensors, vol.14, no.12, 23398-23418; doi:10.3390/s141223398,2014.
  39.  M. Yang, Xuguang Lan, N. Zheng, and P. Cosman, Depth-assisted Temporal Error Concealment for Intra Frame Slices in 3D Video[J],  IEEE Trans. Broadcasting, Vol.60 , no. 2, 385 – 393, Ju. 2014.
  40. Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, Gang Zhou, Video object segmentation with shape cue based on spatiotemporal superpixel neighborhood[J], IET Computer Vision,   Vol.8, no.1,16 – 25, 2014.
  41. Shizhou Zhang, Jinjun Wang, Yihong Gong, Shun Zhang, Xinzi Zhang, Xuguang Lan, Image parsing by loopy dynamic programming[J]. Neurocomputing ，145，240-249, 2014.
  42. Jianji Wang, Xuguang Lan, Nanning Zheng, Fractal image encoding with flexible classification sets[J], Chinese Science Bulletin, vol.59, no.14, 1597–1606, 2014.
  43. Zhiqiang Tian, Jianru Xue, Xuguang Lan, Ce Li, Nanning Zheng, Object Segmentation and Key-Pose based Summarization for Motion Video[J],Multimedia Tools and Applications, Vol. 72,no.2, 1773-1802, 2014.
  44. Meng Yang, Xuguang Lan, Nanning Zheng, Adaptive Multiple Description Coding for Hybrid Networks with Dynamic PLR and BER[J], Signal Processing: Image Communication, Vol. 28, no. 9,  1132–1142, 2013.
  45. Ce Li, JianruXue, Nanning Zheng,Xuguang Lan, ZhiqiangTian, Spatio-temporal Saliency Perception Via Hypercomplex Frequency[J], Sensors, 2013.
  46. Xuguang Lan, Meng Yang, Yuan Yuan, Songlin Zhao, Nanning Zheng, Adaptively post-encoding multiple description videocoding[J], Neurocomputing, 101: 149-160, 2013 .
  47. Xuguang Lan, Nanning Zheng, Wen Ma, Yuanyuan, Arbitrary ROI-based Wavelet VideoCoding[J], Neurocomputing, vol.74, issue 12-13, 2114-2122，June 2011.
  48. Yi Lai, Xuguang Lan, Xiangwei Li, Yuehu Liu, and Nanning Zheng, An Efficient Region of Interest Support in Scalable Multi-view Video Coding[J], IEEE Trans.  Consumer Electronics, vol.57, no.3, pp. 1271-1279, Aug. 2011.
  49. Wei Hu,Jianru Xue,Xuguang Lan,Nanning Zheng,Local patch based regularized least squares model for compression artifacts removal[J], IEEE Trans. Consumer Electronics, vol.55, no. 4, 2057 –  2065, 2009.
  50. Xuguang Lan, Nanning Zheng, Jianru Xue, Bin Gao and Xiaoguang Wu. Adaptive VoD Architecture based On Scalable Wavelet Video Coding[J]. IEEE Trans.  Consumer Electronics, vol.53, no.4, 1401-1409, November 2007.
  51. Xuguang Lan, Nanning Zheng and Yuehu Liu. Low-Power and High-Speed VLSI Architecture of 2-D DWT for Forward and Backward Transform[J]. IEEE Trans.Consumer  Electronics. vol.51, no. 2,  379-385, May 2005.
  52. 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[J].电子学报.Vol.32,No.11，1806-1809，2004.
  53. 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[J]. 计算机研究与发展.vol.42,No.11: 1889-1995, 2005.
  54. 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[J]，自动化学报，vol.40, no.10, 2234-2345, 2014.
  55. 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[J], 微电子学与计算机, vol.31,no.4,2014.

 

2）Conference Papers

  1. Tianyang Wu, Hanwei Guo, Yuhang Wang, Junshu Yang, Xinyang Sui, Jiayi Xie, Xingyu Chen, Zeyang Liu, and Xuguang Lan*. Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion[C]. International Conference on  Robotics: Science and Systems (RSS)，Sydney, Australia，13-17，Jul. 2026, DOI:10.48550/arXiv.2602.00678.

  2. Shiguang Sun, Haiming Tian, Xingyu Chen, and Xuguang Lan*. GoDeform: Benchmarking Skill Learning for Goal-Conditioned Deformable Object Manipulation[C]. International Conference on  Bio-inspired System and Robotics (ICBSR), Xishuangbanna, China, 26~28, December, 2025.

  3. Fan Li*, Rui Ding, Meng Yang, and Xuguang Lan. Consistent Feature Alignment for Cross-Modal Knowledge Distillation in Monocular 3D Object Detection[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China，19-25， October， 2025，DOI: 10.1109/IROS60139.2025.11247216.

  4. Chengzhong Ma, Houxue Yang, Hanbo Zhang, Zeyang Liu, Chao Zhao, Jian Tang, Xuguang Lan*, and Nanning Zheng. DexDiff:Towards Extrinsic Dexterity Grasping in Unrestricted Environments[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China，19-25， October， 2025，DOI: 10.1109/IROS60139.2025.11246419.

  5. Xingyu Chen, Jiayi Xie, Zhijian Xu, Ruixun Liu, Shuai Yang, Zeyang Liu, Lipeng Wan, Xuguang Lan*. State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator[C], The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), Montreal, Canada, 16~22, August, 2025, DOI:10.24963/ijcai.2025/970.
  6. Qian Kou, Mingyang Li, Zeyang Liu, Long Qian, Zhuoran Chen, Lipeng Wan, Xingyu Chen, Xuguang Lan*. Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference Optimization[C]. International Conference on Autonomous Agents and Multiagent Systems. Detroit, USA, 19~23, May, 2025, DOI: https://ifaamas.org/Proceedings/aamas2025/pdfs/p1181.
  7. Han Wang, Yilin Zhao, Dian Li*, Xiaohan Wang, sinbadliu, Xuguang Lan*, Hui Wang. Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps[C], The Thirteenth International Conference on Learning Representations (ICLR2025), Singapore, Singapore, 24~28, April, 2025, DOI: https://openreview.net/forum?id=CGhgB8Kz8i.
  8. Yuhang Wang, Hanwei Guo, Sizhe Wang, Long Qian, Xuguang Lan*. Bootstrapped Model Predictive Control[C], The Thirteenth International Conference on Learning Representations (ICLR2025), Singapore, Singapore, 24~28, April, 2025, DOI: https://openreview.net/forum?id=i7jAYFYDcM.
  9. Sizhe Wang, Long Qian, Cairun Yi, Fan Wu, Qian Kou, Mingyang Li, Xingyug Chen, Xuguang Lan: SADMA: Scalable Asynchronous Distributed Multi-agent Reinforcement Learning Training Framework[C]. In Proceedings of 12th International Workshop on Engineering Multi-Agent Systems Co-located with AAMAS 2024,Auckland, New Zealand, May 6-7, 2024, pp. 31-47. DOI: 10.1007/978-3-031-71152-7_4。
  10. 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.
  11. Xiuquan Hou, Meiqin Liu, Senlin Zhang, Ping Wei, Badong Chen, Xuguang Lan. Relation DETR: Exploring Explicit Position Relation Prior for Object Detection[C]. European Conference on Computer Vision(ECCV2024), September 29- October4，2024.
  12. Jiayuan Luo, YaXin Liu, Han Wang, Mengyuan Ding, Xuguang Lan*. Grasp Manipulation Relationship Detection based on Graph Sample and Aggregation[C], IEEE International Conference on Robotics and automation(ICRA2024), May 13- May 17，2024.
  13. Jie Xu, Hanbo Zhang, Qingyi Si, Yifeng Li, Xuguang Lan*, and Tao Kong. Towards Unified Interactive Visual Grounding in The Wild[C], IEEE International Conference on Robotics and automation(ICRA2024), May 13- May 17，2024.
  14. Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan*. Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks[C], IEEE International Conference on Robotics and automation(ICRA2024), May 13- May 17，2024.
  15. 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.
  16. Mingyang Li, Fan Wu, Qian Kou, Long Qian, Xingyu Chen and Xuguang Lan*.Resource Orchestration and Scheduling Algorithms for Enhancing Distributed Reinforcement Learning[C]. The 5th China Symposium on Cognitive Computing and Hybrid Intelligence(CCHI 2023), October 27-29, 2023, Nanjing, China
  17. Zewen Wu, Jian Tang, Xingyu Chen, Chengzhong Ma, Xuguang Lan* and Nanning Zheng. Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship     Prediction[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
  18. Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan*. Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning[C], the 32nd International Joint     Conference on Artificial Intelligence (IJCAI-23), 2023.
  19. 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[C],IEEE International Conference on Robotics and automation(ICRA), January 2023.
  20. Haoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan*.Constrained Contrastive Reinforcement Learning[C].Proceedings of Machine Learing Research, ACML 2022.
  21. Xuwei Song, Lipeng Wan, Xingyu Chen and Xuguang Lan*. Option-based Multi-agent Exploration[C]. 2022 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems， July 27-31, Changbai Mountain, China，2022.
  22. Mengyuan Ding, YaXin Liu, Chenjie Yang, Xuguang Lan*.Visual Manipulation Relationship Detection based on Gated Graph Neural Network for Robotic Grasping[C].2022 IEEE/RSJ International Conference    on Intelligent Robots and Systems (IROS 2022).
  23. Lipeng Wan, Zeyang liu, Xingyu Chen, Xuguang Lan*, Nanning Zheng. Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning (spotlight)[C]. International Conference on    Machine Learning (ICML), Baltimore Maryland USA,July 17-23 2022.
  24. Jie Xu, Shihong Wang, Xingyu Chen, Jiahao Zhang, Xuguang Lan*, Nanning Zheng. A Continuous Learning Approach for Probabilistic Human Motion Prediction[C]. IEEE International Conference on Robotics   and Automation (ICRA), 2022.
  25. Xun Tan, Xingyu Chen, Guowei Zhang, Jishiyu Ding, Xuguang Lan*, MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection[C], 1st International Workshop on Multimedia   Computing for Urban Data, 2021.
  26. Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan*, Nanning Zheng, INVIGORATE: Interactive Visual Grounding and Grasping in Clutter[C], RSS, 2021.
  27. Hanbo Zhang, Site Bai, Xuguang Lan*, David Hsu, Nanning Zheng, Hindsight Trust Region Policy Optimization[C], IJCAI-21(the 30th International Joint Conference on Artificial     Intelligence), 2021.
  28. Jie Xu, Xingyu Chen, Xuguang Lan*, Nanning Zheng. Probabilistic Human Motion Prediction via A Bayesian Neural Network[C]. IEEE International Conference on Robotics and Automation   (ICRA). 2021.
  29. 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[C]. 2021  IEEE  International Conference on Robotics and Automation(ICRA), March, 2021.
  30. Han Wang, Xingyu Chen, Xuguang Lan*. An exploration of Domain Adaptation Applying to Grasp Detection Algorithm[C], The China Automation congress(CAC 2020), November,    2020,Shanghai, China
  31. Deyu  Yang, Hanbo Zhang, Xuguang Lan*. Research on complex robot manipulation based on hindsight trust region policy optimization[C], The China Automation congress(CAC 2020),    November, 2020,Shanghai, China
  32. Chuzhen Feng, Xuguang Lan*, Lipeng Wan, Zhuo Liang, Haoyu Wang, A Guided Evaluation Method for Robot Dynamic Manipulation[C], The 13th International Conference on Intelligent    Robotics and Applications (ICIRA2020), November 5-7, Kuala Lumpur, Malaysia
  33.  Lipeng Wan, Xuguang Lan*, Xuwei Song, Chuzhen Feng, Nanning Zheng, Periodic guidance learning[C].  The 11th IEEE International Conference on Knowledge Graph (ICKG-2020),   Nanjing, China, August 9-11 2020.
  34. Xingyu Chen, Xuguang Lan*, Fuchun Sun, Nanning Zheng. A Boundary Based Out-Of-Distribution Classifier for Generalized Zero-Shot Learning[C], the European Conference on Computer  Vision (ECCV) （ONLINE， virtual confernce）， August 23-28 2020.
  35. Chenjie Yang,Xuguang Lan*, Hanbo Zhang, Nanning Zheng. Autonomous Tool Construction with Gated Graph Neural Network[C]. 2020 IEEE International Conference on Robotics and   Automation (ICRA). May. 31-June. 4, 2020. Paris, France.
  36. Jie Xu, Xuguang Lan*, Jin Li, Xingyu, Chen, Nanning Zheng, EAN: Error Attenuation Network for Long-term Human Motion Prediction[C], Proceedings of 2nd China Symposium on Cognitive  Computing and Hybrid Intelligence, CCHI 2019, pp.178-183, Sep. 2019, Xi'an China.
  37. Jieru Mei, Xingyu Chen, Chunyu,Wang, Alan,Yuille, Xuguang Lan*, Wenjun Zeng, Learning to Refine 3D Human Pose Sequences[C], Proceedings of International Conference on 3D Vision(3DV) 2019, p.358-366, Canada, Sep. 2019.
  38. Yongchao Wang, Xuguang Lan*, Chuzhen Feng, Lipeng Wan, Jin Li, Yuwang Liu and Decai Li, An experience-based policy gradient method for smooth manipulation[C],The 9th IEEE        International Conference on CYBER Technology in Automation, Control, and Intelligent Systems(IEEE-CYBER 2019),July, 2019,Suzhou, China
  39. Wensong Chan,Zhiqiang Tian, Shuai Liu, Jing Ren, Xuguang Lan*, Action recognition with spatial-temporal attention[C],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[C].2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Nov. 4-8, 2019. Macau, China.
  41. Chenjie Yang, Xuguang Lan*, Hanbo Zhang, Nanning Zheng. Task-oriented Grasping in Object Stacking Scenes with CRF-based Semantic Model[C]. 2019 IEEE/RSJ International Conference  on Intelligent Robots and Systems (IROS). Nov. 4-8, 2019. Macau, China.
  42. Hanbo Zhang, Xuguang Lan*, Site Bai, Xinwen Zhou, Zhiqiang Tian, Nanning Zheng. ROI-based Robotic Grasp Detection for Object Overlapping Scenes[C]. 2019 IEEE/RSJ International  Conference on Intelligent Robots and Systems (IROS). Nov. 4-8, 2019. Macau, China.
  43. Jin Li,Xuguang Lan*, Yang Liu, Le Wang, Nanning Zheng, Compressing Unknown Classes with Product Quantizer for Efficient Zero-Shot Classification[C], IEEE CVPR 2019, June 16-20, USA, 2019.
  44. Kang Wang, Xuguang Lan, Chuzhen Feng, Distributed Depth Video Coding Based on Compressive Sensing and Gaussian Mixture Models[C], Chinese Automation Congress, November 30-  December 2, Xi'an, China, 2018.
  45. Chenjie Yang, Xuguang Lan*, Hanbo Zhang, Xinwen Zhou, Nanning Zheng. Visual Manipulation Relationship Detection with Fully Connected  CRFs for Autonomous Robotic Grasp[C]. IEEE        International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur, Malaysia, December 12~15, 2018.
  46. Hanbo Zhang, Xuguang Lan*, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng, Visual Manipulation Relationship Network for Autonomous Robotics[C], IEEE/RAS 18th                       International Conference on Humanoids Robots (Humanoids), November, 6-9, Beijing, China, 2018.
  47. Xinwen Zhou, Xuguang Lan*, Hanbo Zhang, Zhiqiang Tian, Yang Zhang and Nanning Zheng, Fully Convolutional Grasp Detection Network with Oriented Anchor Box[C], IEEE     International Conference on Intelligent Robots(IROS 2018), October, 1-5, Madrid, Spain, 2018.
  48. 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[C], In AAAI   Conference on Artificial Intelligence 2018, New Orleans, USA, 2018.
  49. Kang Wang, Xuguang Lan*, Xiangwei Li, Meng Yang, Nanning Zheng, Compressive Sensing Depth Video Coding via Gaussian Mixture  Models and Object Edges[C], PCM 2017, Harbin, China, 2017.
  50. Hanbo Zhang, Xuguang Lan*, Xinwen Zhou, Vision-based robotic grasp success determination with convolutional neural network[C], The 7th  Annual IEEE Int. Conf. on CYBER Technology   in Automation, Control, and Intelligent Systems (IEEE CYBER2017), Hawaii, USA, 2017.
  51. Guoqiang Liang, Xuguang Lan*, Hanbo Zhang, Xingyu Chen, Nanning Zheng. Intention-based Human Robot Collaboration[C].19th International Conference on Intelligent Robotics and   Applications (ICIRA 2017), Wuhan, China, 2017.
  52. Jin Li, Xuguang Lan*, Nanning Zheng, Iteratively Multiple Projections Optimization for Product Quantization in Nearest Neighbor Search[C], Int’l. Conf. Big Knowledge (ICBK) 2017, Hefei, China, 2017.
  53. Xiangwei Li, Xuguang Lan*, Meng Yang,Jianru Xue,Nanning Zheng, Efficient Compressive Sensing Video Compression Method Based on Gaussian Mixture Models[C], VCIP2016, pp. 1-4,   2016.
  54. Jiayi Chen, Xuguang Lan*, Meng Yang, Efficient Detail-enhanced Exposure Correction Based on Auto-fusion for LDR Image[C], Proceedings of the IEEE 18th Workshop on Multimedia Signal  Processing. Montreal, Canada, 2016.
  55. Guoqiang Liang, Xuguang Lan*, Jiang Wang, Nanning Zheng, Human pose estimation based on human limbs[C], ICPR 2016, Cancun, Mexico, Dec. 2016.
  56. 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[C], MMM2016, pp.1-12, Miami,     Florida, USA, 2016.
  57. Xiangwei Li, Xuguang Lan*, Meng Yang, Jianru Xue, and Nanning Zheng, Optimized Truncation Model for Adaptive Compressive Sensing  Acquisition of Images[C], IEEE VCIP 2015, pp.1-4,  Singapore,  2015.
  58. Meng Yang, Ce Zhu, Xuguang Lan*, and Nanning Zheng, Parameter-free View Synthesis Distortion Model with Application to Depth Video Coding[C], IEEE International Symposium on Circuits  and Systems (ISCAS2015), pp.1-4, Portugal, 2015.
  59. Xiangwei Li, Xuguang Lan*, Meng Yang, JianruXue, Nanning Zheng: Universal and low-complexity quantizer design for compressive sensing image coding[C]. IEEE VCIP 2013: 1-5, 2013.
  60. Jin Li, Gang Hua, Xuguang Lan*, Nanning Zheng: An Integrated Model for Bayesian Learning of Sparse Representation and Classifier Training[C]. PCM 2013: 620-628, 2013.
  61. M. Yang, Y. Yang, P. Cosman, Depth-assisted Error Concealment for Intra Frame Slices in 3D Video[C], in Proc. ICIP 2012, Orlando, FL, USA, pp. 1281-1284, Oct.2012.
  62. Yi Lai, Xuguang Lan*, Yuehu Liu, and Nanning Zheng, Improved view synthesis with depth reliability maps[C], The IEEE Data Compression Conference (DCC2012). April, 2012, Snowbird, Utah, USA.
  63. Yi Lai, Xuguang Lan*, Yuehu Liu, and Nanning Zheng, Disocclusion using depth reliability map for view synthesis[C], The 37th IEEE International Conference on Acoustics, Speech, and Signal  Processing (ICASSP2012). April, 2012, Japan.
  64. Yi Lai, Xuguang Lan*, e.t., Region of Interest Support in Scalable Multi-View Video Coding[C], Proc. ICCE 2011, Las Vagas, USA, Jan. 2011.
  65. Meng Yang, Xuguang Lan*, and Nanning Zheng, Explicit Network-Adaptive Robust Multiple Description Coding[C], Proc. IEEE DCC 2011, Las Vagas, USA, March 2011.
  66. Meng Yang, Xuguang Lan*, and Nanning Zheng, Design of Error-Resilient M-description Codec over Wireless Broadcasting Networks[C],  Proc. 8th Annual IEEE Consumer Communications   and  Networking Conference (IEEE CCNC2011), Las Vagas, USA, Jan. 2011.
  67. Meng Yang, Xuguang Lan*, and Nanning Zheng, Consecutive Redundancy Control for Robust Multiple Description Coding over Unreliable Networks[C], Proc. IEEE Wireless Communications   and Networking Conference (IEEE WCNC2011), Mar. 2011.
  68. Zhiqiang Tian, Jianru Xue, Ce Li, Xuguang Lan*, Nanning Zheng, Auto-generated Strokes for Motion Segmentation[C],IEEE International Symposium on Circuits and Systems 2011, May,      2011, Brazil
  69. Zhiqiang Tian, Jianru Xue, Nanning Zheng, Xuguang Lan*, Ce Li, 3D Spatio-temporal Graph Cuts for Video Objects Segmentation[C], IEEE International Conference on Image Processing   (ICIP 2011),  Sep. 2011, Belguim
  70. Zhiqiang Tian, Jianru Xue, Xuguang Lan*, Ce Li, Nanning Zheng, Key Object-based Static Video Summarization[C], ACM Multimedia 2011, Nov. 2011
  71. Xuguang Lan, Nanning Zheng, e.t. Arbitrary ROI-based Wavelet Video Coding[C], Proc. IEEE Data Compression Conference (DCC 2010) 2010, March, 2010, Snowbird, Utah, USA.
  72. Xuguang Lan, Nanning Zheng, JianruXue, Ce Li, and Songlin Zhao. Joint Network-Source Video Coding based on Lagrangian Rate Allocation[C], Proc. IEEE Data Compression Conference  (DCC 2009) 2009, March, 2009, Snowbird, Utah, USA.
  73. Xuguang Lan, Jianru Xue, A Peer-to-Peer Architecture with DRM[C], Proc. IEEE CCNC2009, Las Vagas, USA, pp.1-5, Jan. 2009.
  74. Xuguang Lan, Nanning Zheng, Jianru Xue, Songlin Zhao and Weike Chen, Scalable Multiple Description Coding Based On Bitplane And Lagrangian Rate Allocation[C], Proc. IEEE   Consumer Communications & Networking Conference (CCNC 2008), pp. 811-812, Jan. 10 - 12,2008, Las Vegas, Nevada, USA.
  75. 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[C]. Proc. IEEE Data        Compression Conference (DCC 2008) 2008, pp.529, March 25 - 27, 2008, Snowbird, Utah, USA.
  76. Xuguang Lan, Nanning Zheng, Jianru Xue, Xiaoguang Wu and Bin Gao, Weike Chen, Manageable Peer-to-Peer Architecture for Video-on-Demand[C], Proc. 22nd IEEE International Parallel  and Distributed Processing Symposium (IPDPS2008), pp.1-7, April 14-18, 2008, Miami, Florida USA.
  77. Xuguang Lan, Nanning Zheng, Jianru Xue, Xiaoguang Wu and Bin Gao. A Peer-to-Peer Architecture for Efficient Live Scalable Media Streaming on Internet[C], Proc. ACM Multimedia 2007,   pp.783-786, Sep. 24-29, 2007, Augsburg, Germany
  78. Jianru Xue, Shugang Guo and Xuguang Lan. Joint Content and Temporal Correlation Adaptive MCTF[C], Proc. The 26th Picture Coding Symposium (PCS2007).12-13 November 2007, Lisbon, Portugal.
  79. Xuguang Lan, Nanning Zheng and Yuehu Liu. Low-Power and High-Speed VLSI Architecture of 2-D DWT  for JPEG 2000[C].Proc. IEEE International Symposium on Consumer Electronics  Proceedings, pp.110-113.2004 UK.

 

3)Conference Proceedings

  1. 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
  2. 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.

 

(2.)Positions

 国家发明专利40余项授权,其余部分在申请中

  1. 一种基于强化学习的大规模异构多智能体协同博弈与决策方法。兰旭光，卢旭阳，万里鹏，陈卓然，马俊杰，专利申请号：XJD2024CN00389，中国（公开日：2026.03.20）

  2. 一种基于物流仓储环境的多智能体路径规划方法及系统,刘妹琴,施沁汝,兰旭光,魏平,陈霸东,专利申请号：2024100638800，公开号：CN117908542A，中国 （公开日：2024.04.19）

  3. 一种面向柔性装配任务切换的工序迁移控制方法和装置，刘泽阳，顾泽辰，赵超，任雪，兰旭光，陈星宇，专利申请号：2026101194153，中国
  4. 一种交通信号灯策略评估演化方法及系统。刘妹琴，姜辉，兰旭光，魏平，陈霸东，专利申请号：CN202410198858.7，公开号：CN118015860A，中国（公开日：2024.05.10）
  5. 模型训练方法、机器人控制方法、装置、设备及介质。兰旭光，郑身彤，刘泽阳，孙世光，陈星宇，张冲，专利申请号：CN202311237385.9，公开号：CN117207185A，中国（公开日：2023.12.12）
  6. 模型训练方法、机器人控制方法、装置、设备及介质。兰旭光，孙世光，杨德宇，陈星宇，张冲，专利申请号：CN202311247749.1，公开号：CN117226842A，中国（公开日：2023.12.15）
  7. 基于轨迹分支生成的机器人操作数据增强方法。兰旭光，刘志宏，钱龙，王宇航，卢旭阳，专利申请号：XJD2024CN00388，中国
  8. 一种基于虚实数据融合的三指机器人控制方法。兰旭光，万里鹏，王思哲，徐志坚，专利申请号：XJD2024CN00391，中国
  9. 一种基于自举模型预测控制的高维机器人运动控制方法。兰旭光，王宇航，郭涵伟，王思哲，顾建徽，专利申请号：XJD2024CN00390，中国
  10. 一种基于华为NPU加速训练深度强化学习模型并部署在低功耗嵌入式DSP芯片上的实现方法。兰旭光，顾建徽，李胜鹏，吴天阳，郭涵伟，专利申请号：XJD2024CN00387，中国
  11. 一种可控弯曲的软体探测装置。李海红，兰旭光，沈海鸣，张小栋，专利申请号：XJ2026CN00018，中国

  12. 一种面向未知环境的机器人自主目标搜索方法。陈星宇，徐志坚，谢嘉翌，田海铭，任思华，胡亦铭，任雪，刘泽阳，兰旭光， 专利申请号：2026100609582，中国

  13. 一种双足轮式机器人的控制策略学习方法、系统及介质。陈星宇，谢嘉翌，徐志坚，田海铭，胡亦铭，刘泽阳，兰旭光，专利申请号：202511955437.5，公开号：CN121704197A，中国

  14. 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 （公开日：2024.03.12）

  15. 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 （公开日：2024.05.03）

  16. 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 （公开日：2024.03.29）

  17. 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）

  18. 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）

  19. 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）

  20. 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

  21. 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

  22. 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

  23. 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）

  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）

  25. 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）

  26. 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）

  27. 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）

  28. 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）

  29. 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）

  30. 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）

  31. 一种基于轨迹匹配的多源目标融合方法。孙宏滨，史菊旺，王文秀，冯超，兰旭光，辛景民，郑南宁，专利申请号：CN201810138573.9，公开号：CN108280442A，中国（公开日：2020.07.28）

  32. 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）

  33. 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）

  34. 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）

  35. 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)

  36. 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）

  37. 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）

  38. 流媒体分布式数字水印体系结构设计方法。薛建儒，田丽华，兰旭光，田智强，郑南宁，专利申请号：CN200810236421.9，公开号：CN101442657A，中国（公开日：2010.11.10）

  39. 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）

  40. 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）

  41. 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）

  42. 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）

  43. 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

  44. 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）

  45. 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）

  46. 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）

  47. 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）

  48. 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

  49. 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）

  50. 一种面向稀疏奖励机器人的操作轨迹规划方法及系统，发明人：陈星宇，孙浩文，黄立琦，李明洋，任思华，陈鑫哲，马承重，刘泽阳，兰旭光。专利申请号：202610908055.5，中国，2026.6.23（公开日：2026.07）

  51. 一种机器人操作策略从仿真到现实的迁移方法，发明人：陈星宇，孙浩文，马承重，王涵，钱龙，叶嘉伟，刘泽阳，兰旭光。专利申请号：202610908035.8，中国，2026.6.23

  52. 一种机器人操作策略生成方法及系统，发明人：陈星宇，唐鉴，庞普，孙浩文，马承重，刘泽阳，兰旭光。专利申请号：202610908060.6，中国，2026.6.23

Contact

西安交通大学人工智能学院

陕西省西安市碑林区咸宁西路28 号，710049

办公室：兴庆校区科学馆307，创新港校区4号巨构2169 ,  西安交通大学曲江校区西一楼431

email：xglan@mail.xjtu.edu.cn

 

 

  • 总访问量

  • 今日访问量

  • 月访问量

版权所有：西安交通大学 陕ICP备05001571号