Zhang Lihua

Distinguished Professor, Vice President of the Institute of Engineering and Applied Technology; Artificial Intelligence and Its Applications
  • Title: Distinguished Professor

  • Position: Vice President

  • E-mail: lihuazhang@fudan.edu.cn

  • Office location: Room 507, Xinjinbo Building

  • Tel: 021-65641242


Teaching situation

  • "Frontiers of Intelligent Robots" graduate course of ITRI

  • "Signal and System" Intelligent Science and Technology Major Course for Undergraduates


scientific research project

  • Scientific and technological innovation 2030-"new generation artificial intelligence" major project, project number: 2021ZD0113500, key technology and application of standardized child patient model, start and end date: 2021-12 to 2024-11, chief scientist;

  • Major project of the National Natural Science Foundation of China, project number: 82090052, the establishment of a common key technology system for liver cancer intelligent precision surgery, start and end date: 2021-01 to 2025-12, project leader;

  • Shanghai Major Project of Artificial Intelligence Science and Technology - Frontier Basic Theory and Key Technologies of Artificial Intelligence, Project Number: 2021SHZDZX0103, Project Six - "Human-Machine Object Ternary Collaborative Behavior and the Emergence of Crowd Intelligence", Start and End Date: 2020-12 to 2023-12 ,Project manager;

  • Shanghai "Science and Technology Innovation Action Plan" artificial intelligence technology support special project, forward-looking research on the basic theory and key technologies of ternary space intelligence, start and end dates: 2019-10 to 2022-09, project executive director;

  • Open subject of provincial and ministerial key laboratories, basic and key technology research of intelligent robots, start and end date: 2019-07 to 2022-04, project leader;

  • 2019 Jilin Province Science and Technology Development Plan technical research project, key technology research and application of intelligent industrial cameras, start and end date: 2019-01 to 2021-12, project leader;

  • In 2018, Changchun Science and Technology Innovation "Double Ten Project" project, the development of "Zhiqing" artificial intelligence cloud platform, ended from April 2018 to March 2020, the project leader.


Representative Papers and Books

  • Zhai,P.,Luo,J.,Zhang,LH.etal.Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint. AAAI 2022.Accepted

  • Shi, X., Zuo, Y., Zhai, P., …, Zhang, L. et al. Large-area Display Textiles Integrated with Functional Systems. Nature 591, 240–245 (2021). https://doi. org/10.1038/s41586-021-03295-8.

  • Shunli Wang, Dingkang Yang, Peng Zhai, Chixiao Chen, Lihua Zhang*, 2021. TSA-Net: Tube Self-Attention Network for Action Quality Assessment. In Proceedings of ACM Conference 2021 (ACM MM 2021)

  • Zuoting Song, Tao Fang, Shuang Li, Lan Niu, Yuan Zhang, Song Le, gege zhan, xueze zhang, Hui Li, MIN ZHAO, HAIFENG JIANG, Lihua Zhang, Xiaoyang Kang, Removing EOG Artifacts from the EEG signal of Methamphetamine Addicts, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Accepted

  • Zhai Peng, Zhang Lihua*, Dong Zhiyan, Wan Sen, Guo Yuchen, Gan Zhongxue*, Dai Qionghai*. Machine Intuition. Science in China: Information Science, 2020, 50: 1475–1500, doi: 10.1360/SSI-2020-0075

  • S. Liu, H. Zhu, C. Chen, L. Zhang and C. -J. Richard Shi, "XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping," 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Genova, Italy, 2020, pp. 21-25

  • Haozhe Zhu, Chixiao Chen, Shiwei Liu, Qiaosha Zou, Mingyu Wang, Lihua Zhang, Xiaoyang Zeng and C. -J. Richard Shi, A Communication-Aware DNN Accelerator on ImageNet Using in-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65nm CMOS. In IEEE Journal on Emerging and Selected Topics in Circuits and Systems, doi: 10.1109/JETCAS.2020.3014920.

  • 甘中学、孙富春、刘立、张立华等,2.3.6基于全息数据的通用人工智能发展技术,《中国人工智能2.0发展战略研究》,浙江大学出版社,2019年。

  • Peixian Gong, Chunyu Wang, Lihua Zhang*, MMPoint-GNN: Graph Neural Network with Dynamic Edges for Human Activity Recognition through a Millimeter-wave Radar. In The 31th International Joint Conference on Neural Networks (IJCNN 2021). July 18-22, 2021, Virtual Event, doi: 10.1109/IJCNN52387.2021.9533989

  • Yangtao Du, Dingkang Yang, Peng Zhai, Mingchen Li, Lihua Zhang*, Learning associative representation for facial expression recognition. In Proceedings of 2021 IEEE International Conference on Image Processing. September 19-22, 2021, Virtual Conference

  • Dingkang Yang, Shuai Huang , Shunli Wang Zhai Peng , Yidan Li and Lihua Zhang*, EE-GAN: Facial Expression Recognition Method based on Generative Adversarial Network and Network Integration. In Proceedings of CCF Conference on Artificial Intelligence (CCFAI), July 22- 25, 2021, Yantai, Shanghai, China

  • Jinshan Zhang, Bo Jiao, Yunzhengmao Wang, Haozhe Zhu, Lihua Zhang, Chixiao Chen. 2021. ALPINE: An Agile Processing-in-Memory Macro Compilation Framework. In Proceedings of the Great Lakes Symposium on VLSI 2021 (GLSVLSI '21), June 22–25, 2021, Virtual Event, USA. ACM, New York, NY, USA, pp.333-338, doi: 10.1145/3453688.3461532

  • Bo Jiao, Haozhe Zhu, Jinshan Zhang, Shunli Wang, Xiaoyang Kang, Lhua Zhang, Mingyu Wang, Chixiao Chen. Computing Utilization Enhancement for Chiplet-based Homogeneous Processing-in-Memory Deep Learning Processors. In Proceedings of the Great Lakes Symposium on VLSI 2021 (GLSVLSI '21), June 22–25, 2021, Virtual Event, USA. ACM, New York, NY, USA, 6 pages, doi: 10.1145/3453688.3461499

  • Bo Jiao, Jinshan Zhang, Yuanyuan Xie, Shunli Wang, Haozhe Zhu, Xiaoyang Kang, Zhiyan Dong, Lhua Zhang, Chixiao Chen. A 0.57-GOPS/DSP Object Detection PIM Accelerator on FPGA. In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2021, pp.13-14, doi: 10.1145/3394885.3431659

  • Peixian Gong, Chunyu Wang, Lihua Zhang*, MMG-HCI: A Non-contact Non-intrusive Real-Time Intelligent Human-computer Interaction System. In CAAI International Conference on Artificial Intelligence 2021 (CICAI 2021).

  • Liuzhen Su, Ye Lin, and Lihua Zhang*. "Multi-Camera Joint Self-Calibration from Observations of Pedestrians." In 2021 The 4th International Conference on Image and Graphics Processing, Sanya, China, 2021, pp.120-124, doi :10.1145/3447587.3447604

  • Wang Ziyan, Zhang Lihua, Zhai Peng, Du Yangtao. 3D-SVD-Based Spatiotemporal Behavior Localization Algorithm. Application of Computer Systems, 2021, 30(10): 109-117. http://www.csa.org.cn/1003-3254/ 8122.html

  • Heng Zhou, Zhiyan Dong, Peng Zhai and Lihua Zhang, "Motion Simulation of Flying Quadruped Robot Based on Deep reinforcement Learning," in 2021 Chinese Automation Congress (CAC), Beijing, China, Oct. 2021.

  • Wenxiang Shi, Zhiyan Dong and Lihua Zhang, "Graphical Platform of Intelligent Algorithm Development for Object Detection of Educational Drone," in 2021 Chinese Automation Congress (CAC), Beijing, China, Oct. 2021.

  • Zhentang Liao, Lihua Zhang and Zhiyan Dong, "UAV Swarm Exploration With Byzantine Fault Tolerance," in 2021 Chinese Automation Congress (CAC), Beijing, China, Oct. 2021.

  • Y. Zhang, S. Le, J. Guo, Z. Song, T. Fang, X. Zhang, G. Zhan, S. Wang, H. Li, J. Tao, J. Liang, L. Zhang, and X. . Kang, "Removing Artifacts of Invasive Neural Recording Induced by MRI Scanning," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp.224-248, doi:10.1109/BCI51272.2021.9385337

  • X. Zhang, Z. Song, S. Li, Y. Zhang, T. Fang, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, X. Kang, and H. Wang, " Brain Computer Interface for the Hand Function Restoration," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp.247-252, doi: 10.1109/BCI51272.2021.9385348

  • G. Zhan, Z. Song, T. Fang, Y. Zhang, S. Le, X. Zhang, S. Wang, Y. Lin, J. Jia, L. Zhang, and X. Kang, "Applications of Spiking Neural Network in Brain Computer Interface," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp. 288-293, doi: 10.1109/BCI51272.2021.9385361

  • P. Wang, Z. Song, H. Chen, T. Fang, Y. Zhang, X. Zhang, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, and X. Kang, " Application of Combined Brain Computer Interface and Eye Tracking," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp. 258-262, doi: 10.1109/BCI51272.2021.9385344

  • Z. Song, T. Fang, J. Ma, Y. Zhang, S. Le, G. Zhan, X. Zhang, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, and X . Kang, "Evaluation and Diagnosis of Brain Diseases based on Non-invasive BCI," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp. 235-240, doi: 10.1109/BCI51272.2021.9385291

  • S. Le, Y. Zhang, Y. Fu, T. Fang, Z. Song, X. Zang, G. Zhan, S. Wang, H. Li, J. Tao, J. Liang, L. Zhang, and X. . Kang, "Implantable Optoelectronic Neural Interface for Optogenetics," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp. 241-246, doi: 10.1109/BCI51272.2021.9385342

  • T. Fang, Z. Song, L. Niu, S. Le, Y. Zhang, X. Zhang, G. Zhan, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, and X. . Kang, "Recent Advances of P300 Speller Paradigms and Algorithms," in 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 2021, pp. 229-234, doi: 10.1109/BCI51272.2021.9385369

  • Cheng Xiang, Chen Chixiao, Zhai Peng, Zhang Lihua*, Visual SLAM Parallel Computing Architecture and Implementation Oriented to Bundle Adjustment Method. Small Microcomputer System 2021, Accepted.

  • Wu Binghui, Dong Zhiyan, Zhai Peng, Zhang Lihua*, SLAM mapping based on lidar and binocular vision fusion under UAV level flight. Computer Applications and Software 2021, Accepted.

  • Zheng Longshu, Lin Ye, Zhai Peng, Zhang Lihua*, Multi-target Tracking Algorithm Based on Non-local Attention Mechanism. Computer Application and Software 2021, Accepted.

  • Han Shu, Lin Ye, Zheng Longshu, Weng Zheming, Zhang Lihua*, Multi-target tracking algorithm based on motion information and re-matching, Computer System Applications 2021, Accepted.

  • Lihua Zhang and Wenli Xu. Genetic Algorithm for Affine Point Matching. Pattern Recognition Letters, 2003, 24(1-3):9-19.

  • Wenli Xu and Lihua Zhang. A Geometric Reasoning Based Algorithm for Point Pattern Matching. Science in China, Series F, 2001, 44(6):445-452.

  • Xu Wenli, Zhang Lihua. A point pattern matching algorithm based on geometric reasoning. Chinese Science Series E, 2002, 32(4):553~560.

  • Zhang Lihua, Xu Wenli. Point pattern matching. Journal of Computer Science, 1999,22(7):740~745

  • Zhang Lihua, Xu Wenli, Chang Cheng, etc. A new recursive DFT algorithm suitable for microcomputer protection. Automation of Electric Power Systems, 2000, 24(5): 28~31.

  • Lihua Zhang and Wenli Xu, Point-Pattern Matching Using Irreducible Matrix and Relative Invariant. Tsinghua Science and Technology, 1999, 4(4): 1602-1605.

  • Zhang Lihua, Xu Wenli. An Algorithm for Single-phase Ground Fault Line Selection in Small Ground Current Systems. Journal of Tsinghua University (Natural Science Edition), 1998, 38(9): 74~76, 81.

  • Zhang Lihua, Xu Wenli. Point Pattern Matching Method Based on Genetic Algorithm. Acta Electronics, 2000,28(10):47-51

  • Zhang Lihua, Xu Wenli. Point pattern matching method under perspective transformation based on convex hull. Acta Automatica Sinica, 2002,28(2):306-309.

  • Zhang Lihua, Xu Wenli. Point pattern matching method based on invariant perspective transformation. Chinese Journal of Image and Graphics, 2000, 5(11): 948-952.

  • Wenli Xu and Lihua Zhang. Perspective-N-Point Problem in Computer Vision. Proceedings of the Second Conference on Automatic Control of Universities of Beijing, Beijing, China, 1992: 30-36.

  • Wenli Xu and Lihua Zhang. Pose Estimation Problem in Computer Vision, in IEEE TENCON'93, 1993, Beijing, China, Vol2, pp.1138-1141.

  • Wenli Xu and Lihua Zhang. New algorithms for Point Pattern Matching Using Index Matrix, in the Third Asian Control Conference (ASCC), Shanghai, July, 2000, pp.84-88


Education work experience

  • September 1989-July 1994 Bachelor's Degree in Automatic Control, Tsinghua University

  • September 1994-June 2000 Master's degree and Ph.D. in Control Theory and Control Engineering, Tsinghua University


Academic

  • Chairman of the Human-Machine Fusion Intelligence Professional Committee of the Chinese Association for Artificial Intelligence (CAAI)

  • Deputy Director of Engineering Research Center of Intelligent Robot Ministry of Education

  • Director of Joint Key Laboratory of Intelligent Science and Engineering of Jilin Province

  • Director of Jilin Province Artificial Intelligence and Unmanned Systems Engineering Research Center

  • Scientific and technological innovation 2030-"new generation artificial intelligence" major project responsibility expert and chief review expert

  • Member of the National Beacon Committee's Biometric Identification Subcommittee (TC28/SC37) and leader of the Behavior Identification Working Group

  • Deputy leader of the Medical and Engineering Technology Transformation and Application Group of the Management Branch of the China Medical Equipment Association

  • Vice President of Jilin Robotics Society

  • Leader of Biology and Information Team, Jilin Province Applied Mathematics and Interdisciplinary Science Center

  • Deputy Director of the Expert Committee of the School of Artificial Intelligence, Changchun University of Science and Technology

  • Regular member of the State Key Laboratory of Integrated Circuits and Systems


Awards

  • In 2019, Jilin Provincial People's Government, the seventh batch of top innovative talents in Jilin Province

  • In 2021, the Chinese Association for Artificial Intelligence, outstanding scientific and technological worker

  • 2021, Shanghai Municipal Science and Technology Commission, Outstanding Academic/Technical Leader of Shanghai "Science and Technology Innovation Action Plan"

  • In 2021, Chinese Association for Artificial Intelligence, Outstanding Scientific and Technological Achievement Award, winning project: Real-time Visual Analysis Platform for Big Data Digital Twins of Intelligent Connected Vehicles