WEI ZHANG 张伟

Ph.D, Professor

School of Control Science and Engineering

Shandong University

17923 Jingshi Rd., Lixia Dist., Jinan, Shandong, China

Email: davidzhang@sdu.edu.cn

Overview Education & Work Experience Research Interests Publications Honors & Awards Professional Activities Grants

Overview

• I am currently Changjiang Scholar Distinguished Professor with the School of Control Science and Engineering, Shandong University (SDU), Jinan, China. I studied for my Ph.D in Electrical Engineering at The Chinese University of Hong Kong (CUHK) from August 2006 to December 2010. I previously worked as a Postdoc scholar at University of California, Berkeley (UC Berkeley) from January 2011 to January 2012.
• I served as the chair or steering committee member of many famous international conferences such as CVPR, ICCV, ECCV, ICIP, ROBIO, ICIA, ICAL, etc. I am also the reviewer of top international journals such as TPAMI, TIP, PR, TMM, TCSVT, SPL, SPIC, VCIR, etc. I served as deputy director of China Image and Graphics Youth Working Committee, member of Pattern Recognition and Machine Intelligence Committee and Computer Vision Committee.
• My representative papers have been published in IEEE TPAMI, TRO, TNNLS, TIP, TCYB, NeurIPS, CVPR, ICCV, IJCAI, AAAI, CoRL, ICRA and other authoritative journals and conferences in the field of artificial intelligence and robotics, and more than 20 invention patents have been authorized by China, the United States, Japan and other countries. I won the second prize of Natural Science in Shandong Province and the second prize of Natural Science in China Society of Image and Graphics.

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Education & Work Experience

• 09/2016-now Professor, School of Control Science and Engineering, Shandong University, Jinan, China
• 09/2014-07/2015 Visiting Scholar, Department of Automation, Tsinghua University, Beijing, China
• 01/2013-08/2016 Associate Professor, School of Control Science and Engineering, Shandong University, Jinan, China
• 01/2011-01/2012 Post-doctor, Image Processing and Multimedia, University of California (UC Berkeley), Berkeley, US
• 08/2006-12/2010 Ph.D., Electrical Engineering, Chinese University of Hong Kong (CUHK), Hong Kong, China

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Research Interests

Image Processing and Multimedia, Robots and Intelligent System, Machine Learning and Artificial Intelligence.

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Selected Journal Publications

  1. Lin Zhang, Ran Song, Wenhao Tan, Lin Ma, Wei Zhang*. IGCN: A Provably Informative GCN Embedding for Semi-Supervised Learning with Extremely Limited Labels,  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
  2. Zhiheng Li, Yujie Zhong, Ran Song, Tianjiao Li, Lin Ma, Wei Zhang. DeTAL: Open-Vocabulary Temporal Action Localization with Decoupled Networks,  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
  3. Ran Song , Wei Zhang* ,Yitian zhao , Yonghuai Liu and Rosin Paul L. 3D Visual saliency: an independent perceptual measure or a derivative of 2d image saliency?, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.
  4. Wei Zhang, Bairui Wang, Lin Ma, and Wei Liu. Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.DOI: 10.1109/TPAMI.2019.2920899
  5. Yifan Wang, Lin Zhang, Ran Song, Hongliang Li, Paul L. Rosin, Wei Zhang. Exploiting Inter-Sample Affinity for Knowability-AwareUniversal Domain Adaptation,  International Journal of Computer Vision (IJCV), 2023.
  6. Ran Song, Wei Zhang*, Yitian Zhao, Yonghuai liu. Unsupervised Multi-View CNN for Salient View Selection and 3D Interest Point Detection[J]. International Journal of Computer Vision (IJCV), 2022.
  7. Shikuan Xie, Ran Song, Yuenan Zhao, Xueqin Huang, Yibin Li, Wei Zhang*. Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation, IEEE Transactions on Robotics (T-RO), 2023.
  8. Runmin Cong, Wenyu Yang, Wei Zhang*, Chongyi Li*, Chun-Le Guo, Qingming Huang, and Sam Kwong. PUGAN: Physical model-guided underwater image enhancement using GAN with dual- discriminators,  IEEE Transactions on Image Processing (T-IP), 2023.
  9. Zhiheng Li , Xuyuan Gong, Ran Song, Peng Duan , Jun Liu , and Wei Zhang*. SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition, IEEE Transactions on Image Processing (T-IP), 2023.
  10. Weidong Zhang, Youmei Zhang, Ran Song, Ying Liu and Wei Zhang*. 3D Layout Estimation via Weakly Supervised Learning of Plane Parameters from 2D Segmentation, IEEE Transactions on Image Processing (T-IP), 2021 .
  11. Tianjiao Li, Wei Zhang*, Ran Song, Zhiheng Li, Jun Liu, Xiaolei Li and Shijian Li. PoT-GAN: Pose Transform GAN for Person Image Synthesis, IEEE Transactions on Image Processing (T-IP), 2021 .DOI: 10.1109/TIP.2021.3104183
  12. Wei Zhang, Xuanyu He, Xiaodong Yu, Weizhi Lu, Zhengjun Zha, and Qi Tian. A Multi-scale Spatial-temporal Attention Model for Person Re-identification in Videos, IEEE Transactions on Image Processing (T-IP), 2019.DOI: 10.1109/TIP.2019.2959653
  13. Wei Zhang, B. Ma, K. Liu, R. Huang. Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model, IEEE Transactions on Image Processing (T-IP). vol. 26, no. 4, pp. 2042-2054, 2017.
  14. Wei Zhang，W. K. Cham. Single Image Refocusing and Defocusing, IEEE Transactions on Image Processing (T-IP)，vol. 21, no. 2, pp. 873-882, 2012.
  15. Zhenhuan Rao , Yuechen Wu , Zifei Yang , Wei Zhang* , Shijian Lu , Weizhi Lu , Zheng-Jun Zha. Visual Navigation with Multiple Goals based on Deep Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021 .
  16. Wei Zhang，X.Y. He，W.Z. Lu，Q. Hong，Y.B. Li. Feature Aggregation with Reinforcement Learning for Video-based Person Re-identification, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2019.DOI: 10.1109/TNNLS.2019.2899588
  17. Hao Zhang, Jiaming Chen, Jiyu Cheng, Yibin Li, Simon X. Yang, and Wei Zhang. Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment,  IEEE Transactions on Industrial Electronics (T-IE), 2024.
  18. Runmin Cong, Hang Xiong, Jinpeng Chen, Wei Zhang, Qingming Huang, Yao Zhao. Query-guided Prototype Evolution Network for Few-Shot Segmentation,  IEEE Transactions on Multimedia (T-MM), 2024.
  19. Yunjie Jia, Yong Song, Bo Xiong, Jiyu Cheng, Wei Zhang, Simon X. Yang, and Sam Kwong. Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios,  IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
  20. Lina Zhu, Jiyu Cheng, Hao Zhang, Wei Zhang, and Yuehu Liu. Multi-robot Environmental Coverage with A Two-Stage Coordination Strategy via Deep Reinforcement Learning,  IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
  21. Wenhao Tan, Xing Fang, Wei Zhang*, Ran Song, Teng Chen, Yu Zheng, and Yibin Li. A Hierarchical Framework for Quadruped Omnidirectional Locomotion Based on Reinforcement Learning, IEEE Transactions on Automation Science and Engineering (T-ASE), 2023.
  22. Shuo Yang , Wei Zhang* ,Ran Song , Jiyu Cheng , Hesheng Wang and Yibin Li. Watch and Act: Learning Robotic Manipulation From Visual Demonstration, IEEE Transactions on SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS (T-SMC), 2023.
  23. Shuo Yang , Shuai Song , Shilei Chu, Ran Song, Jiyu Cheng , Yibin Li , and Wei Zhang*. Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing, IEEE Transactions on UTOMATION SCIENCE AND ENGINEERING (T-ASE), 2023.
  24. Qian Zhang , Mingxin Zhang, Jinghe Liu, Xuanyu He , Ran Song, and Wei Zhang* . Unsupervised Maritime Vessel Re-Identification With Multi-Level Contrastive Learning, IEEE Transactions on INTELLIGENT TRANSPORTATION SYSTEMS (T-ITS), 2023.
  25. Hao Zhang, Ran Song, Liping Wang, Lin Zhang, Dawei Wang, Cong Wang, and Wei Zhang. “Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks”, IEEE Transactions on Medical Imaging (T-MI), 2022.
  26. Jiapeng Sheng, Yanyun Chen, Xing Fang , Wei Zhang*, Ran Song, Yu Zheng and Yibin Li . “Bio-Inspired Rhythmic Locomotion for Quadruped Robots”, IEEE Robotics and Automation Letters (RA-L), 2022.
  27. Shuo Yang, Wei Zhang*, Ran Song, Weizhi Lu, Hesheng Wang, and Yibin Li. “Explicit-to-Implicit Robot Imitation Learning by Exploring Visual Content Change”, IEEE/ASME Transactions on Mechatronics (TMECH), 2022.
  28. Hao Zhang, Jiyu Cheng*, Lin Zhang, Wei Zhang, H2GNN: Hierarchical-Hops Graph Neural Networks for Multi-Robot Exploration in Unknown Environments[J]. IEEE Robotics and Automation Letters (RA-L), 2022.10.1109/LRA.2022.3146912
  29. Weidong Zhang, Qian Zhang, Wei Zhang*, Jianjun Gu, and Yibin Li.From Edge to Keypoint: An End-to-End Framework for Indoor Layout Estimation, IEEE Transactions on Multimedia (T-MM), 2020.DOI: 10.1109/TMM.2020.3042669
  30. Ke Song, Wei Zhang, Weizhi Lu, Zhengjun Zha, Xiangyang Ji, and Yinbin Li. Visual Object Tracking via Guessing and Matching, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019.DOI: 10.1109/TCSVT.2019.2948600
  31. Wei Zhang，X.Y. He，W.Z. Lu. Exploring Discriminative Representations for Image Emotion Recognition with CNNs, IEEE Transactions on Multimedia (T-MM), 2019.DOI: 10.1109/TMM.2019.2928998
  32. G.J Zhang，S.J. Lu，Wei Zhang*. CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery, IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2019.DOI: 10.1109/TGRS.2019.2930982
  33. W.D Zhang，Wei Zhang*，J. Gu. Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment, IEEE Transactions on Cybernetics (T-CYB), pp. 2168-2267, 2019. DOI: 10.1109/TCYB.2019.2895837
  34. X.Y. Lan，Wei Zhang*, S.P. Zhang，D.K. Jain, H.Y. Zhou. Robust Multi-modality Anchor Graph-based Label Prediction for RGB-Infrared Tracking, IEEE Transactions on Industrial Informatics (T-II), 2019.DOI: 10.1109/TII.2019.2947293
  35. X.Y. He，Wei Zhang*. Emotion recognition by assisted learning with convolutional neural networks, Neurocomputing, vol. 291, pp. 187-194, 2018.
  36. W.Z. Lu，W.Y. Li，Wei Zhang*，S.T. Xia. Expander Recovery Performance of Bipartite Graphs with Girth Greater than 4, IEEE Transactions on Signal and Information Processing over Networks (T-SIPN), vol. 5, no. 3, pp. 418-427, 2018.
  37. Wei Zhang, K. Song, X.W. Rong, Y.B. Li. Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning, IEEE Transactions on Automation Science and Engineering (T-ASE), vol. 16, no. 4, pp. 1522-1530, 2018.
  38. Wei Zhang, Y.M. Li, W.Z. Lu, X.S. Xu, Z.W. Liu, X.Y. Ji. Learning Intra-video Difference for Person Re-identification, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 29, no. 10, pp. 3028-3036, 2018.
  39. L. Qu, K.X. Liu, B.C. Yao, J. Tang, Wei Zhang*. Real-time Visual Tracking with ELM Augmented Adaptive Correlation Filter, Pattern Recognition Letters (PRL), vol. 127, pp. 138-145, 2018.>
  40. Wei Zhang, S.N. Hu, K. Liu. Compact appearance learning for video-based person re-identification, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 29, no. 8, pp. 2442-2452, 2018.
  41. Wei Zhang, W.D. Zhang, K. Liu, J. Gu. A Feature Descriptor based on Local Normalized Difference for Real-World Texture Classification, IEEE Transactions on Multimedia (T-MM), vol. 20, no. 4, pp. 880-888, 2018.
  42. Wei Zhang, Q. Chen, W.D. Zhang, X. He. Long-range Terrain Perception using Convolutional Neural Networks, Neurocomputing, vol. 275, pp. 781-787, 2018.
  43. X.Y. He, Wei Zhang*, H.F. Zhang, L. Ma, Y.B. Li. Reversible data hiding for high dynamic range images using edge information， Multimedia Tools and Applications, vol. 78, no. 20, pp. 29137-29160, 2018.
  44. Wei Zhang, X. Yu, X. He. Learning Bidirectional Temporal Cues for Video-based Person Re-Identification, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 28, no. 10, pp. 2768-2776, 2018.
  45. L. Li, J.Yao, H.A. Li, M.H. Xia, Wei Zhang. Optimal seamline detection in dynamic scenes via graph cuts for image mosaicking, Machine Vision and Application (MVA), vol. 28, no. 8, pp. 819-837, 2017.
  46. Wei Zhang, S.N. Hu, K. Liu. Patch-Based Correlation for Deghosting in Exposure Fusion, Information Sciences, vol. 415-416, pp. 19-27, 2017.
  47. M. Xia, J. Yao, R. Xie, L. Li, Wei Zhang. Globally Consistent Alignment for Planar Mosaicking via Topology Analysis, Pattern Recognition, vol. 66, pp. 239-252, 2017.
  48. W.D. Zhang, Wei Zhang*, K. Liu, J. Gu. Learning to Predict High-quality Edge Maps for Room Layout Estimation, IEEE Transactions on Multimedia (T-MM), vol. 19, no. 5, pp. 935-943, 2017.
  49. L. Li, J. Yao, R.P. Xie, M.H. Xia, Wei Zhang. A Unified Framework for Street-View Panorama Stitching, Sensors, pp.1-27, 2016
  50. Wei Zhang, S.N. Hu, K. Liu, J. Yao. Motion-free Exposure Fusion based on Inter-consistency and Intra-consistency, Information Sciences, vol. 376, no. 10, pp. 190-201, 2016.
  51. Wei Zhang, C. Qu, Lin Ma, J. Guan, R. Huang. Learning Structure of Stereoscopic Image for No-Reference Quality Assessment with CNN, Pattern Recognition, vol. 59, no. C, pp. 176-187, 2016.
  52. Wei Zhang, K. Liu, W.D. Zhang, Y. Zhang, J. Gu. Deep Neural Networks for wireless localization in indoor and Outdoor Environments, Neurocomputing, vol. 194, no. 19, pp. 279-287, 2016.
  53. Q. Liu, Wei Zhang, H. Li, K. Ngan. Hybrid Human Detection and Recognition in Surveillance, Neurocomputing, vol. 194, no. 19, pp. 10-23, 2016.
  54. Wei Zhang, Y. Zhang, L. Ma, J. Guan, S. Gong. Multimodal Learning for Facial Expression Recognition, Pattern Recognition, vol. 48, no. 10, pp. 3191-3202, 2015.
  55. J. Guan, Wei Zhang, J. Gu, H. Ren. No-reference Blur Assessment Based on Edge Modeling, Visual Communication and Image Representation，vol. 29, pp. 1-7, 2015.
  56. P. Duan, G. Tian, Wei Zhang. Human localization based on distributed laser range finders, International Journal of Hybrid Information Technology, vol. 7, no. 3, pp. 303-315, 2014.
  57. Y. Fu, Wei Zhang, M. Mandal, Q. Meng. Computer-Aided Bleeding Detection in WCE Video, IEEE Transactions on Information Technology in Biomedicine (T-ITB), vol. 18, no. 2, pp. 636-642, 2014.
  58. H. Cheng, S. Wei, Wei Zhang, C. Zhang. Phase Retrieval in Lens-based Fresnel Wave Propagation Model, Optical Engineering, vol. 52, no. 7, pp. 074102, 2013.
  59. Wei Zhang, W. K. Cham. Reference-guided Exposure Fusion in Dynamic Scenes. Visual Communication and Image Representation (VCIR), vol. 23, no. 3, pp. 467-475, 2012.
  60. Wei Zhang, W. K. Cham. Gradient-directed Multi-exposure Composition,IEEE Transactions on Image Processing (T-IP), vol. 21, no. 4, pp. 2318-2323, 2012.
  61. Wei Zhang, W. K. Cham. Hallucinating Face in the DCT Domain, IEEE Transactions on Image Processing (T-IP), vol. 20, no. 10, pp. 2769-2779, 2011.
  62. Y. Fu, Wei Zhang, Q. Meng. Storyboard of WCE Video Extraction Based on Frame Difference, International Journal of Information Acquisition (IJIA), vol. 8, no. 4, pp. 315-324, 2011.
  63. Wei Zhang, S. Wei. A Simple Method for 3D Reconstruction from Two Views, International Journal on Graphics, Vision and Image Processing (GVIP), vol. 6, pp. 33-37, 2005. [Project]

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Selected Conference Publications

  1. Wentao Zhao†, Jiaming Chen†, Ziyu Meng, Donghui Mao, Ran Song, and Wei Zhang. Vision-Language Model Predictive Control for Robotic Manipulation, in Proceeding of   Robotics: Science and Systems (RSS), 2024.
  2. Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, and Wei Zhang. ESNet: Evolution and succession network for high-resolution salient object detection, in Proceeding of  International Conference on Machine Learning (ICML), 2024.
  3. Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang* and Lin Ma*. "E2E-LOAD: End-to-End Long-form Online Action Detection", in Proceeding of IEEE International Conference on Computer Vision (ICCV), 2023.
  4. Shijie Lian, Hua Li, Runmin Cong, Suqi Li , Wei Zhang, and Sam Kwong. "WaterMask: Instance segmentation for underwater imagery", in Proceeding of IEEE International Conference on Computer Vision (ICCV), 2023.
  5. Runmin Cong, Yuchen Guan, Jinpeng Chen, Wei Zhang, Yao Zhao, and Sam Kwong. "SDDNet: Style-guided dual-layer disentanglement network for shadow detection", in Proceeding of , ACM Multimedia (ACM MM), 2023.
  6. Runmin Cong, Mengyao Sun, Sanyi Zhang, Xiaofei Zhou, Wei Zhang, and Yao Zhao. "Frequency perception network for camouflaged object detection", in Proceeding of , ACM Multimedia (ACM MM), 2023.
  7. Runmin Cong, Hongyu Liu, Chen Zhang, Wei Zhang, Feng Zheng, Ran Song, and Sam Kwong. "Point-aware interaction and CNN-induced refinement network for RGB-D salient object detection", in Proceeding of , ACM Multimedia (ACM MM), 2023.
  8. Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang. "RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking", in Proceeding of 37st AAAI Conference on Artificial Intelligence (AAAI), 2023.
  9. Shuai Song, Shuo Yang, Ran Song, Shilei Chu, Yibin Li, Wei Zhang*. "Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL", in Proceeding of Conference on Robot Learning (CoRL), 2023.
  10. Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma. "Explore Inter-Contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding", in Proceeding of 36st AAAI Conference on Artificial Intelligence (AAAI), 2022.
  11. Shuqiang Cao, Bairui Wang, Wei Zhang, Lin Ma. "Visual Consensus Modeling for Video-Text Retrieval", in Proceeding of 36st AAAI Conference on Artificial Intelligence (AAAI), 2022.
  12. Ran Song, Wei Zhang*, Yonghuai Liu, Paul Rosin. "Mesh Saliency: An Independent Perceptual Measure or A Derivative of Image Saliency?", in Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  13. Tianjiao Li, Jun Liu*, Wei Zhang*, Yun Ni, Wenqian Wang, Zhiheng Li. "UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles", in Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  14. Xueqin Huang, Wei Chen, Wei Zhang*, Ran Song, Jiyu Cheng, and Yibin Li. "Autonomous Multi-View Navigation via Deep Reinforcement Learning", in Proceedings of IEEE The International Conference on Robotics and Automation (ICRA), 2021.
  15. Shuo Yang, Wei Zhang*, Ran Song, Jiyu Cheng and Yibin Li. "Learning Multi-Object Dense Descriptor for Autonomous Goal-Conditioned Grasping", in Proceedings of IEEE The International Conference on Robotics and Automation (ICRA), 2021.
  16. Xueqin Huang, Han Deng, Wei Zhang*, Ran Song, and Yibin Li. "Towards Multi-Modal Perception-Based Navigation: A Deep Reinforcement Learning Method", in Proceedings of IEEE The International Conference on Robotics and Automation (ICRA), 2021.
  17. Zifei Yang, Shuo Yang, Shuai Song, Wei Zhang*, Ran Song, Jiyu Cheng, and Yibin Li. "PackerBot: Variable-Sized Product Packing with Heuristic Deep Reinforcement Learning", 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
  18. Wenhao Tan, Xing Fang, Wei Zhang*, Ran Song, Teng Chen, Yu Zheng, and Yibin Li. "A Hierarchical Framework for Quadruped Locomotion Based on Reinforcement Learning", 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
  19. Ke Song, Wei Zhang*, Ran Song, and Yibin Li. "Online Decision Based Visual Tracking via Reinforcement Learning", in Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020.
  20. Kunyan Zhu†, Wei Chen†, Wei Zhang*, Ran Song, and Yibin Li. “Autonomous Robot Navigation Based on Multi-Camera Perception”, in Proceedings of International Conference on Intelligent Robots and Systems (IROS), 2020.
  21. Yue Fan, Shilei Chu, Wei Zhang*, Ran Song*, Yibin Li. “Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator”, in Proceedings of International Conference on Intelligent Robots and Systems (IROS), 2020.
  22. Tianjiao Li, Jun Liu*, Wei Zhang*, and Lingyu Duan. “HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction”, in Proceedings of European Conference on Computer Vision (ECCV), 2020.
  23. Weidong Zhang, Wei Zhang*, Yinda Zhang. “GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes”, in Proceedings of European Conference on Computer Vision (ECCV), 2020.
  24. Ran Song, Wei Zhang*, Yitian Zhao, Yonghuai Liu. “Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes”, in Proceedings of European Conference on Computer Vision (ECCV), 2020.
  25. Shuo Yang, Wei Zhang*, Weizhi Lu, Hesheng Wang, and Yibin Li. “Cross-context Visual Imitation Learning from Demonstrations”, in Proceedings of IEEE The International Conference on Robotics and Automation (ICRA), 2020.
  26. Junhao Zhang, Wei Zhang*, Ran Song, Lin Ma, and Yibin Li. “Grasp for Stacking via Deep Reinforcement Learning”, in Proceedings of IEEE The International Conference on Robotics and Automation (ICRA), 2020.
  27. S. Yang, Wei Zhang*, W.Z. Lu, H.S. Wang, Y.B. Li. “Learning Actions from Human Demonstration Video for Robotic Manipulation”, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
  28. B.R. Wang, L. Ma, Wei Zhang*, W.H. Jiang, J.W. Wang, W. Liu. “Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network”, in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2019.
  29. Y.C. Wu, Z.H. Rao, Wei Zhang*, S.J. Lu, W.Z. Lu, Z.J. Zha. "Exploring the Task Cooperation in Multi-goal Visual Navigation", in Proceeding of International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  30. C.H. Xue, L.J. Lu, Wei Zhang. "MSR: Multi-Scale Shape Regression for Scene Text Detection", in Proceeding of International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  31. B.R. Wang, L Ma, Wei Zhang*, W.H. Jiang, F Zhang. "Hierarchical Photo-Scene Encoder for Album Storytelling", in Proceeding of 31st AAAI Conference on Artificial Intelligence (AAAI), 2019.
  32. B.W. Wang, L. Ma, Wei Zhang*, W. Liu. “Reconstruction Network for Video Captioning”, in Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  33. T. Sun, Wei Zhang*, Z. Wang, Lin Ma, Z. Jie. “Image-level to Pixel-wise Labeling: From Theory to Practice”, in Proceeding of International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  34. Y. Wu, Wei Zhang* and K. Song. “Master-Slave Curriculum Design for Reinforcement Learning”, in Proceeding of International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  35. K. Song, Wei Zhang* and X. Rong. “UAV Target Tracking with A Boundary-Decision Network”, in Proceeding of International Conference on Pattern Recognition (ICPR), 2018.
  36. K. Zhang, Wei Zhang*. "Loop closure detection based on generative adversarial networks for simultaneous localization and mapping systems", Chinese Automation Congress (CAC), 2017.
  37. Wei Zhang et al. “Exploiting Patch-based Correlation for Ghost Removal in Exposure Fusion”, in Proceeding of International Conference on Multimedia & Expo (ICME), 2017.
  38. X. Lu, J. Yao, Li Li, Y. Liu, and Wei Zhang. “Edge Chain Detection by Applying Helmholtz Principle on Gradient Magnitude Map”, in Proceedings of International Conference on Pattern Recognition (ICPR), 2016.
  39. J. Weng, Wei Zhang, W.D. Zhang and J. Gao, “Pyramid Stereo Matching for Spherical Panoramas”, in Proceedings of IEEE International Conference on Visual Communications and Image Processing (VCIP), 2016.
  40. J. Niu and Wei Zhang, “Comparative Analysis of Statistical Models in Rainfall Prediction”, in Proceedings of IEEE International Conference on Information and Automation (ICIA). 2015.
  41. K. Liu, B. Ma, Wei Zhang and R. Huang, “A Spatio-temporal Appearance Representation for Video-based Pedestrian Re-Identification”, in Proceedings of IEEE International Conference on Computer Vision (ICCV). 2015.
  42. Wei Zhang, K. Liu, W.D. Zhang, Y. Zhang, and J. Gu, “Wi-Fi Positioning Based on Deep Learning”, in Proceedings of IEEE International Conference on Information and Automation (ICIA). 2014. （Best paper award）
  43. H. Zhang, F. Zhou, Wei Zhang, Z. Chen and X. Yuan “Real-time Action Recognition based on a Modified Deep Belief Network Model”, in Proceedings of IEEE International Conference on Information and Automation (ICIA). 2014.
  44. C. Chua, H. Ren, and Wei Zhang, “Towards a Touchless Master Console for Natural Interactions in Sterilized and Cognitive Robotic Surgery Environments,” Robot Intelligence Technology and Applications 2, Advances in Intelligent Systems and Computing, vol. 274, pp. 785-795, 2014.
  45. T. Liu, Wei Zhang, J. Gu and H. Ren, “A Laser Radar Based Mobile Robot Localization Method”, in Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO). 2013.
  46. W. Liu, H. Ren, Wei Zhang, and S. Song, “Cognitive Tracking of Surgical Instruments Based on Stereo Vision and Depth Sensing”, in Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO). 2013.（Best paper award）
  47. W. Chi, Wei Zhang, J. Gu and H. Ren, “A Vision-based Mobile Robot Localization Method”, in Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO). 2013.
  48. Y. Fu, T. Yan, Wei Zhang, and Q.-H., Meng, “A Partial Differential Equation Algorithm for Image Enhancement”, in Proceedings of IEEE International Conference on Information and Automation (ICIA). 2012.
  49. H. Liu, T. Yan, Y. Cheng, Wei Zhang, and Q.-H., Meng, “Image Segmentation by Improved Level Set Evolution Algorithm”, in Proceedings of IEEE International Conference on Information and Automation (ICIA). 2012.
  50. Y. Yu, J. Gu, and Wei Zhang, An Automatic Method for Detecting Objects of Interest in Videos Using Surprise Theory, in Proceedings of IEEE International Conference on Information and Automation (ICIA). 2012.
  51. Y. Fu, H. Liu, Wei Zhang, and Q.-H., Meng, “3D Shape Recovery of Luminal Wall from WCE Image”, in Proceedings of IEEE International Conference on Automation and Logistics (ICAL), 2012.
  52. T. Li, Wei Zhang, Y. Fu, and Q.-H., Meng, “Motion Blur Removal for Humanoid Robots”, in Proceedings of IEEE International Conference on Automation and Logistics (ICAL). 2012.
  53. Wei Zhang and W. K. Cham, "Gradient-directed Composition of Multi-exposure Images," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, Jun. 2010.
  54. Wei Zhang and W. K. Cham, "High Quality Artifact-free Super-resolution," to appear in Proceedings of IEEE International Conference on Image Processing (ICIP), Hong Kong, Sep. 2010.
  55. Wei Zhang, J. Yao, and W. K. Cham, “3D Modeling from Multiple Images,” Lecture Notes in Computer Science (LNCS), vol.6064, pp. 97-103, Jun. 2010.
  56. Wei Zhang and W. K. Cham, “Single Image Focus Editing,” in Proceedings of IEEE International Conference on Computer Vision (ICCV-CRICV), Kyoto, Japan, Oct. 2009.
  57. Wei Zhang and W. K. Cham, “A Single Image based Blind Super-resolution Approach,” in Proceedings of IEEE International Conference on Image Processing (ICIP), San Diego, USA, Oct. 2008.
  58. Wei Zhang and W. K. Cham, “Learning-based Face Hallucination in DCT Domain,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognitio (CVPR), Alaska, USA, Jun. 2008.
  59. Wei Zhang and W. K. Cham, “Image-based Modeling from Multiple Views,” in Proceedings of BJ-HK Doctoral Forum, Beijing, China, Dec. 2008.
  60. Wei Zhang, Q. Zhang, L. Qu and S. Wei, “A Stereo Matching Algorithm Based on Multiresolution and Epipolar Constraint,” in Proceedings of International Conference on Image and Graphics (ICIG), pp. 180-183, Hong Kong, Dec. 2004.

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Honors and Awards

2023 Changjiang (Yangtze River) Scholar Award
2023 Second-class Prize of Shandong Province Technology Invention Award
2023 AI 2000 Most Influential Scholars
2023 Winner of the SoccerNet Challenge for Action Spotting at CVPR 2023
2023 Best Paper Finalist Award at the IEEE International Conference on Mechatronics and Automation (ICMA)
2023 Best Paper Finalist Award at the IEEE International Conference on Real-time Computing and Robotics (RCAR)
2022 World’s Top 2% Scientists
2022 Winner of the ScanRefer Challenge for 3D Object Localization at ECCV 2022
2021 Second-class Prize of Shandong Province Natural Science Award
2020 Xiong Youlun Zhihu Outstanding Young Scholar Award
2018 Young Changjiang (Yangtze River) Scholar Award
2016 Winner of the Large-Scale Scene Understanding Challenge at CVPR 2016
2014 Best Paper Award at the IEEE International Conference on Information and Automation (ICIA)
2013 Best Paper Award at the IEEE International Conference on Robotics and Biomimetics (ROBIO)
2010 Hong Kong Young Scientist Horalable Mention Award
2010 Excellent Paper Award in IEEE Signal Processing Area

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Professional Activities

Editor Board:

IEEE Transactions on Automation Science and Engineering, Associate Editor

Pattern Recognition Letters, Associate Editor

Cognitive Computation and Systems, Associate Editor

Remote Sensing, Special Issue Editor

Journal of Applied Sciences（应用科学学报）, Editorial Board Member

Membership:

IEEE Senior Member

CSIG Senior Member

Program Committee Member：

CVPR, ICCV, ECCV, ICIP, ROBIO, ICIA, ICAL...

Regular Reviewer：

IEEE T-PAMI, IEEE T-IP, PR, IEEE T-MM, IEEE T-CSVT, SPL, SPIC, VCIR...

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Grants

“Research on visual perception method”, Outstanding Youth Fund Project of Shandong Province , 2021/01-2023/12

“Research on intelligent perception of Marine environment under complex sea conditions”, Major Program of the National Natural Science Foundation of China (NSFC), 2020/01-2024/12

“Research on Key Technologies of autonomous security robot based on multi-mode environment interaction”, Joint Program of the National Natural Science Foundation of China (NSFC), 2020/01-2023/12

“Autonomous reinforcement learning and decision making model based on brain-like multimodal perception and its intelligent application”, The Key Research & Development Plan of Shandong Province, 2018/01-2020/12

“Key technologies of intelligent development verification platform for autonomous mobile robots”, The Key Research & Development Plan of Ministry of National Science and Technique, 2017/12-2021/05

“Research on large field of view and large range scene perception in complex outdoor environment”, National Natural Science Foundation of China (NSFC) (General Program), 2016/08-2019/06

“Research on free and unconstrained multi-exposure fusion”, National Natural Science Foundation of China (NSFC) (General Program), 2013/01-2015/12

...

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