Dr. Yang Zhang
Associate Professor
Contact Information:13811623553
Email:yang_zh @mail.buct.edu.cn
Introduction
Associate Professor and Master's Supervisor at Beijing University of Chemical Technology. He graduated with a Bachelor's degree from the School of Computer Science and Engineering at Beihang University (Beijing University of Aeronautics and Astronautics) in 2014, and obtained a Ph.D. from the same institution in 2020, receiving the Outstanding Doctoral Graduate Award. He has been engaged in theoretical research and application system development in the fields of smart cities, artificial intelligence, and machine vision, publishing over 20 papers in top-tier journals and conferences in related areas. He is currently a board member of the Beijing Automation Society and a reviewer for prestigious journals such as IEEE TIP, IEEE TCSVT, IEEE TII, IEEE JIOT, IEEE PR, and IJCV. He was awarded the 2021-2023 Young Talent Support Program by the Beijing Association for Science and Technology and recognized as a 2020 Young Reserve Talent at Beijing University of Chemical Technology. He is the principal investigator of one National Natural Science Foundation of China (NSFC) Youth Science Fund project and one sub-project of the National Key R&D Program, and has participated in two NSFC Key Projects and three National Key R&D Program projects.
Education
Bachelor's Degree: Beijing University of Aeronautics and Astronautics, China, 09/2010–07/2014, School of Computer Science and Engineering, Major: Computer Science and Technology
Ph.D.: Beijing University of Aeronautics and Astronautics), China, 09/2014 – 08/2020, School of Computer Science and Engineering, Major: Computer Applications Technology Advisors: Prof. Zhang Xiong, Prof. Sheng Hao
Work Experience
Associate Professor: Beijing University of Chemical Technology, China, 09/2020 – Present, School of Information Science and Technology
Awards and Honors
2024: Beijing University of Chemical Technology, "Top 100 Young Talents"
2023: Beijing University of Chemical Technology, "Top 10 Teachers"
2021: Beijing Association for Science and Technology, "Young Talent Support Program"
2021: Beihang University (Beijing University of Aeronautics and Astronautics), "Top 10 Graduate Academic Papers Award"
2020: Beijing University of Chemical Technology, "Young Reserve Talent"
2020: Beihang University, "Outstanding Doctoral Graduate"
2019: International Multi-Object Tracking Challenge (MOT Challenge 2019, IEEE Conference on Computer Vision and Pattern Recognition Workshops), Second Place
2018: CCF C-Class Conference, 30th International Conference on Tools with Artificial Intelligence (ICTAI), Best Student Paper Award
2017: International Multi-Object Tracking Challenge (MOT Challenge 2017, IEEE Conference on Computer Vision and Pattern Recognition Workshops), Third Place
Paper
Yang Zhang, Hao Bai, Yuan Xu*, Yanlin He, Qunxiong Zhu, Hao Sheng. Single-stage Related Object Detection for Intelligent Industrial Surveillance [J]. IEEE Transactions on Industrial Informatics, 2024, 20(4): 5539-5549.
Yang Zhang, Hao Bai, Yuan Xu*, Yanlin He, Qunxiong Zhu, Hao Sheng. A Dual Relation Extractor for Object Detection [C]. The 35th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023: 986-990.
Yang Zhang, Zhizhen Wang, Yuan Xu*, Yanlin He, Qunxiong Zhu, Hao Sheng. Local Adaptive Clustering Based Image Matching for Automatic Visual Identification [C]. 2023 China Automation Congress (CAC), 2023.
Yuan Xu, Xue Jiang, Wei Ke, Qunxiong Zhu, Yanlin He, Yang Zhang*, Zixu Wang*. A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis [J]. Process Safety and Environmental Protection, 2023, 171: 299-311.
Shuai Wang, Hao Sheng, Yang Zhang#, Da Yang, Jiahao Shen, Rongshan Chen. Blockchain-empowered distributed multi-camera multi-target tracking in edge computing[J]. IEEE Transactions on Industrial Informatics, 2023, 20(1): 369-379.
Yuan Xu, Yichao Jin, Yang Zhang*, Qunxiong Zhu, Yanlin He, Hao Sheng, 3D Zebrafish Tracking with Topology Association[J]. IET Image Processing, 2023, 17(4): 1044-1059.
Yuan Xu, Youyuan Chen, Yang Zhang*, Qunxiong Zhu, Yanlin He, Hao Sheng. Bilateral Association Tracking with Parzen Window Density Estimation[J]. IET Image Processing, 2023, 17(1): 274-290.
Yuan Xu, Yang Zhao, Wei Ke, Yan-Lin He, Qunxiong Zhu, Yang Zhang*, Xiaoqian Cheng*. A Multi-Fault Diagnosis Method Based on Improved SMOTE for Class-Imbalanced Data[J]. The Canadian Journal of Chemical Engineering, 2023, 101(4): 1986-2001.
Hao Sheng, Yang Zhang*, Wei Wang, Zhiguang Shan, Yufei Fang, Weifeng Lyu, Zhang Xiong. High confident evaluation for smart city services[J]. Frontiers in Environmental Science, 2022: 1103.
Shuai Wang, Hao Sheng, Da Yang, Yang Zhang, Yubin Wu, Sizhe Wang. Extendable Multiple Nodes Recurrent Tracking Framework with RTU++, in IEEE Transactions on Image Processing, 2022, 31: 5257-5271.
Hao Sheng, Shuai Wang, Yang Zhang, Dongxiao Yu, Xiuzhen Cheng, Weifeng Lyu, Zhang Xiong. Near-online Tracking with Co-occurrence Constraints in Blockchain-based Edge Computing[J]. IEEE Internet of Things Journal, 2021, 8(4):2193-2207.
Yubin Wu, Hao Sheng, Yang Zhang#, Shuai Wang, Zhang Xiong, Wei Ke. Hybrid Motion Model for Multiple Object Tracking in Mobile Devices, IEEE Internet of Things Journal, 2022, 10(6): 4735-4748.
Hao Sheng, Shuai Wang, Yang Zhang, Dongxiao Yu, Xiuzhen Cheng, Weifeng Lyu, Zhang Xiong, "Near-Online Tracking With Co-Occurrence Constraints in Blockchain-Based Edge Computing," in IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2193-2207, 15 Feb.15, 2021.
Shuai Wang, Hao Sheng, Yang Zhang, Yubin Wu, Zhang Xiong. A General Recurrent Tracking Framework without Real Data[C]. IEEE International Conference on Computer Vision (ICCV), 2021.
Yuan Xu, Kaiduo Cong, Yang Zhang, Qunxiong zhu*, Yanlin He*. Research and Application of a Novel RPCA-SVME based Multiple Faults Recognition[C]. 2021 IEEE 10th Data Driven Control and Learning Systems Conference, 2021, 484-488 (EI) May 14-16, 2021.
Yuan Xu, Changchao Xi, Yang Zhang, Qunxiong Zhu*, Yanlin He*. A novel interval prediction method based on long short-term memory networks with adaptive dropout. 2021 IEEE 10th Data Driven Control and Learning Systems Conference, 2021, 679-684 (EI) May 14-16, 2021.
Yang Zhang, Hao Sheng, Yubin Wu, Shuai Wang, Weifeng Lyu, Wei Ke and Zhang Xiong. Long-term Tracking with Deep Tracklet Association[J]. IEEE Transactions on Image Processing, 2020, 29:6694 – 6706.
Yang Zhang, Hao Sheng, Yubin Wu, Shuai Wang, Wei Ke and Zhang Xiong. Multiplex Labeling Graph for Near Online Tracking in Crowded Scenes[J]. IEEE Internet of Things Journal, 2020, 7(9):7892-7902.
Hao Sheng, Yang Zhang*, Zhijie Zhong, Yubin Wu, Shuai Wang, Weifeng Lyu, Wei Ke and Zhang Xiong. Hypothesis Testing Based Tracking with Spatio-Temporal Joint Interaction Modeling[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(9):2971-2983.
Hao Sheng, Yang Zhang*, Jiahui Chen, Zhang Xiong. Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(11):3269-3280.
Research Projects
Pedestrian Trajectory Association Technology in Dense Scenes, National Natural Science Foundation of China (Youth Science Fund), 01/2022–12/2024
Principal Investigator
Key Technologies for Intelligent Perception, Analysis, and Decision Making in Urban Operations, National Key R&D Program (Sub-project), 10/202–09/2023
Principal Investigator
Urban Multi-Scale Comprehensive Perception Technology and System, National Key R&D Program (Sub-project), 07/2019–06/2022
Key Technical Staff
Open Learning Theory and Methods for Human-like Vision, National Natural Science Foundation of China (Key Project, International Collaboration), 01/2019–12/2021
Key Technical Staff
Intelligent Integrated Software Interoperability Platform for Smart Cities, National Key R&D Program, 07/2017–12/2020
Key Technical Staff
Urban-level Safety Supervision Video Deep Analysis Technology, Macau Science and Technology Development Fund, 06/2017–12/2020
Key Technical Staff
Active Defense Police Robot Practical Application Technology Research, National Key R&D Program, 07/2017–06/2020
Key Technical Staff