师资队伍
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院所:复旦大学工研院智能机器人研究院
姓名:张立华
职称:特聘教授
职务:智能机器人研究院常务副院长、复旦大学元宇宙智慧医疗研究所所长
电子邮箱:lihuazhang@fudan.edu.cn
办公地点:上海市杨浦区国权北路1566弄湾谷科技园二期D2栋
电话:021-65641242
个人网页/课题组主页:
研究方向
招生专业
授课情况
科研项目
代表性论文和著作
教育工作经历
学术兼职
获奖情况
人工智能、元宇宙及其交叉创新,包括:机器直觉等新一代人工智能理论,计算机视觉、情感分析与多模态智能感知,物理仿真与数字孪生、智能机器人与无人系统以及智慧医疗、智能网联汽车等领域创新应用
《智能机器人前沿》工研院研究生课程
科技创新2030-“新一代人工智能”重大项目,项目编号:2021ZD0113500,标准化儿童患者模型关键技术与应用,起止年月:2021-12至2024-11,首席科学家
国家自然科学基金委员会重大项目,项目编号:82090052,肝癌智能化精准外科的共性关键技术体系的建立,起止年月:2021-01至2025-12,项目负责人
上海市人工智能科技重大专项-人工智能前沿基础理论与关键技术,项目编号:2021SHZDZX0103,项目六-“人机物三元协同行为与群智涌现”,起止年月:2020-12至2025-6,项目负责人
上海市“科技创新行动计划”优秀学术/技术带头人计划项目,OpenCL编译框架,项目编号:21XD1430300,2021.09至2024.08,项目负责人
上海市“科技创新行动计划”人工智能科技支撑专项项目,三元空间智能智能基础理论与关键技术前瞻性研究,起止年月:2019-10至2022-09,项目执行负责人
省部级重点实验室开放课题,智能机器人基础性、关键性技术研究,起止年月:2019-07至2023-06,项目负责人
吉林省科技发展计划项目,车联网大数据数字孪生计算分析平台研发,项目编号:20230201012GX,2023.01至2025.12,项目负责人
吉林省科技发展计划技术攻关项目,智能工业摄像头关键技术攻关及应用,项目编号:20190302033GX,2019-01至2021-12,项目负责人
长春市科技创新“双十工程”项目,智擎”人工智能云平台开发,项目编号:18SS013,2018-04至2020-03,项目负责人
中国电子学会-腾讯Robotics X犀牛鸟专项研究计划(2023),面向机器人研发的虚实集成系统工具的若干关键技术研究, 2024,项目负责人
中国电子学会-腾讯Robotics X犀牛鸟专项研究计划(2022),面向机器人研发的虚实集成系统工具的关键技术研究,2023,项目负责人
代表性论著:
1)张立华等(2023). 第八章“人机融合智能”,《2021-2021智能科学与技术学科发展报告》,中国科学技术出版社.
2)甘中学、孙富春、刘立、张立华等(2019),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.
3)张涛主编,张立华等担任编委(2022). 智能无人系统产业发展研究报告(2022版). 清华大学出版社.
代表性论文:
[1]Shi, X., Zuo, Y., Zhai, P., Shen, J., Yang, Y., Gao, Z., ... Zhang, L., … & Peng, H. (2021). Large-area display textiles integrated with functional systems. Nature, 591(7849), 240-245.
[2]Zhang, K., Shi, X., Jiang, H., Zeng, K., Zhou, Z., Zhai, P., Zhang, L., & Peng H. (2024). Design and fabrication of wearable electronic textiles using twisted fiber-based threads. Nature Protocols (2024).
[3]翟鹏,张立华*,董志岩,万森,郭雨晨,甘中学*,戴琼海*.机器直觉.中国科学:信息科学, 2020, 50: 1475–1500. (doi: 10.1360/SSI-2020-0075).
[4]Li, M., Yang, D., Lei, Y., Wang, S., Wang, S., Su, L., ... & Zhang, L*. (2024). A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024) (Vol. 38, No. 9, pp. 10074-10082).
[5]Hou, T., Tu, J., Gao, X., Dong, Z., Zhai, P., & Zhang, L.* (2024). Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped Robots. IEEE International Conference on Robotics and Automation (ICRA 2024) accepted.
[6]Wang, Y., Yang, D., Chen, Z., Liu, Y., Liu, S., Zhang, W., Zhang, L.* and Qi, L., (2024). De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024).
[7]Yang, D., Yang, K., Li, M., Wang, S., Wang, S., & Zhang, L.* (2024). Robust emotion recognition in context debiasing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024).
[8]Wang, S., Yang, D., Li, M., Kuang, H., Zhao, X., Su, L., Zhai, P., Zhang, L.* (2024). CPR-Coach: Recognizing Composite Error Actions based on Single-class Training. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024).
[9]Li, M., Yang, D., Zhao, X., Wang, S., Wang, Y., Yang, K., ... & Zhang, L*. (2024). Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024).
[10]Liu, L.,Yang, J.,Lin, Y., Zhang, P.,Zhang, L.* (2024). 3D human pose estimation with single image and inertial measurement unit (IMU) sequence, Pattern Recognition,Volume 149, 2024, 110175, ISSN 0031-3203.
[11]Wang, Z., Han, J., Liang, J.,...., Zhang L.*.(2024). Joint interframe separation and gamma correction for asynchronous optical camera communication systems based on high-order statistics, Opt. Express 32, 14808-14825.
[12]Kuang, H., Yang, X., Li, H., Wei, J., & Zhang, L.* (2024). Adaptive Multi-Phase Liver Tumor Segmentation with Multi-Scale Supervision. IEEE Signal Processing Letters (SPL), vol. 31, pp. 426-430.
[13]Han, M., Zhang, X., Yang, D., Liu, T., Kuang, H., Feng, J., & Zhang, L*. (2024). Multi-scale heterogeneity-aware hypergraph representation for histopathology whole slide images. 2024 IEEE International Conference on Multimedia and Expo (ICME 2024), accepted.
[14]Yuan, R., Tang, M., Kou, D., Sun, M., Yang, D., Zhao, X., & Zhang, L*. (2024). IIPC: Intra-inter patch correlations for garment collision handling. 2024 IEEE International Conference on Multimedia and Expo (ICME 2024), accepted.
[15]Yang, D., Yang, K., Wang, Y., Liu, J., Xu, Z., Yin, R., ... & Zhang, L.* (2023). How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception. Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
[16]Zhang, X., Liu, Y., Ali, S., Zhao, X., Sun, M., ... Zhang, L.* (2023). Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science, vol 14222. Springer, Cham.
[17]Yang, D., Chen, Z., Wang, Y., Wang, S., Li, M., Liu, S., ... & Zhang, L.* (2023). Context De-confounded Emotion Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) (pp. 19005-19015).
[18]Yang, D., Liu, Y., Huang, C., Li, M., Zhao, X., Wang, Y., ... & Zhang, L.* (2023). Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences. Knowledge-Based Systems (KBS), 265, 110370.
[19]Yang, D., Huang, S., Xu, Z., Li, Z., Wang, S., Li, M., ... & Zhang, L.* (2023). AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023) (pp. 20459-20470).
[20]Li, M., Yang, D., & Zhang, L*. (2023). Towards robust multimodal sentiment analysis under uncertain signal missing. IEEE Signal Processing Letters (SPL).
[21]Wang, S., Yang, D., Zhai, P., Zhang, L.* (2023). CPR-CLIP: Multimodal Pre-training for Composite Error Recognition in CPR Training. IEEE Signal Processing Letters (SPL), 31, 211-215.
[22]Wang, S., Wang, S., Yang, D., Li, M., Qian, Z., Su, L., & Zhang, L*. (2023). HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images. International Conference on Multimedia and Expo (ICME 2023), 2495-2500.
[23]Long, W., Hou, T., Wei, X., Yan, S., Zhai, P., & Zhang, L.* (2023). A Survey on Population-Based Deep Reinforcement Learning. Mathematics, 11(10), 2234.
[24]Deng, T., Huo, Z., Zhang, L.*, Dong, Z., Niu, L., Kang, X., & Huang, X. (2023). A VR-based BCI interactive system for UAV swarm control. Biomedical Signal Processing and Control, 85, 104944.
[25]Kuang, H., Yang, D., Wang, S., Wang, X., & Zhang, L.* (2023, June). Towards Simultaneous Segmentation Of Liver Tumors And Intrahepatic Vessels Via Cross-Attention Mechanism. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[26]Zhao, X., Su, L., Zhang, X., Yang, D., Sun, M., Wang, S., ... & Zhang, L.* (2023, June). D-CONFORMER: Deformable Sparse Transformer Augmented Convolution for Voxel-Based 3D Object Detection. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[27]Zhai, P., Luo, J., Dong, Z., Zhang, L.*, Wang, S., & Yang, D. (2022). Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint.(2022). In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022). AAAI Press.
[28]Zhai, P., Hou, T., Ji, X., Dong, Z., & Zhang, L.* (2022). Robust adaptive ensemble adversary reinforcement learning. IEEE Robotics and Automation Letters (RAL), 7(4), 12562-12568.
[29]Yang, D., Huang, S., Kuang, H., Du, Y., & Zhang, L.* (2022, October). Disentangled representation learning for multimodal emotion recognition. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM) (pp. 1642-1651).
[30]Yang, D., Kuang, H., Huang, S., & Zhang, L.* (2022, October). Learning modality-specific and-agnostic representations for asynchronous multimodal language sequences. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM) (pp. 1708-1717).
[31]Yang, D., Huang, S., Wang, S., Liu, Y., Zhai, P., Su, L., ... & Zhang, L.* (2022, October). Emotion recognition for multiple context awareness. In European Conference on Computer Vision (ECCV) (pp. 144-162). Cham: Springer Nature Switzerland.
[32]Wang, S., Wang, S., Jiao, B., Yang, D., Su, L., Zhai, P., ... & Zhang, L.* (2022, October). CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 10627-10634). IEEE.
[33]Yang, D., Huang, S., Liu, Y., & Zhang, L.* (2022). Contextual and cross-modal interaction for multi-modal speech emotion recognition. IEEE Signal Processing Letters (SPL), 29, 2093-2097.
[34]Wang, C., Gong, P., & Zhang, L.* (2022, May). Stpointgcn: Spatial temporal graph convolutional network for multiple people recognition using millimeter-wave radar. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3433-3437). IEEE.
[35]Wang, S., Yang, D., Zhai, P., Chen, C., & Zhang, L.* (2021, October). Tsa-net: Tube self-attention network for action quality assessment. In Proceedings of the 29th ACM international conference on multimedia (ACM MM) (pp. 4902-4910).
[36]Kuang, H., Yang, Z., Zhang, X., Tan, J., Wang, X., & Zhang, L.* (2022). Hepatic vein and arterial vessel segmentation in liver tumor patients. Computational Intelligence and Neuroscience, 2022.
[37]Du, Y., Yang, D., Zhai, P., Li, M., & Zhang, L.* (2021, September). Learning associative representation for facial expression recognition. In 2021 IEEE International Conference on Image Processing (ICIP) (pp. 889-893). IEEE.
[38]Gong, P., Wang, C., & Zhang, L.* (2021, July). Mmpoint-gnn: Graph neural network with dynamic edges for human activity recognition through a millimeter-wave radar. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-7). IEEE.
[39]Zhu, H., Jiao, B., Zhang, J., Jia, X., Wang, Y., Guan, T., ... Zhang, L., & Liu, M. (2022, February). COMB-MCM: Computing-on-memory-boundary NN processor with bipolar bitwise sparsity optimization for scalable multi-chiplet-module edge machine learning. In 2022 IEEE International Solid-State Circuits Conference (ISSCC) (Vol. 65, pp. 1-3). IEEE.
[40]Zhang, J., Jiao, B., Wang, Y., Zhu, H., Zhang, L., … & Chen, C. (2021, June). ALPINE: An Agile Processing-in-Memory Macro Compilation Framework. In Proceedings of the 2021 on Great Lakes Symposium on VLSI (pp. 333-338).
[41]Jiao, B., Zhang, J., Xie, Y., Wang, S., Zhu, H., Kang, X., ... Zhang, L., & Chen, C. (2021, January). A 0.57-gops/dsp object detection pim accelerator on fpga. In Proceedings of the 26th Asia and South Pacific Design Automation Conference (pp. 13-14).
[42]Jiao, B., Zhu, H., Zhang, J., Wang, S., Kang, X., Zhang, L., ... & Chen, C. (2021, June). Computing Utilization Enhancement for Chiplet-based Homogeneous Processing-in-Memory Deep Learning Processors. In Proceedings of the 2021 on Great Lakes Symposium on VLSI (pp. 241-246).
[43]Zhu, H., Chen, C., Liu, S., Zou, Q., Wang, M., Zhang, L., & Shi, C. J. R. (2020). A communication-aware dnn accelerator on imagenet using in-memory entry-counting based algorithm-circuit-architecture co-design in 65-nm cmos. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(3), 283-294.
[44]杨鼎康, 黄帅, 王顺利, 翟鹏, 李一丹, & 张立华*.(2022). 基于生成对抗网络和网络集成的面部表情识别方法ee-gan. 计算机应用, 42(3), 750-756. (doi:CNKI:SUN:JSJY.0.2022-03-014).
[45]成祥,陈迟晓,翟鹏,张立华*.(2022). 面向光束平差法的视觉SLAM并行计算架构与实现. 小型微型计算机系统. 2022, 43(9): 1931-1938. (doi:10.20009/j.cnki.21-1106/TP.2021-0170).
[46]王紫烟, 张立华*, 翟鹏, 杜洋涛.(2021). 基于3D-SVD的时空行为定位算法. 计算机系统应用, 2021, 30(10): 109-117 (doi:10.15888/j.cnki.csa.008122).
[47]吴秉慧,董志岩,翟鹏,张立华*.(2021).无人机平飞下激光雷达和双目视觉融合的SLAM建图.计算机应用与软件.
[48]郑龙澍,林野,翟鹏,张立华*. (2021). 基于非局部注意力机制的多目标跟踪算法. 计算机应用与软件.
[49]Zhang, L., Xu, W., & Chang, C. (2003). Genetic algorithm for affine point pattern matching. Pattern Recognition Letters, 24(1-3), 9-19.
[50]Xu, W., & Zhang, L. (2001). A geometric reasoning based algorithm for point pattern matching. Science in China Series: Information Sciences, 44, 445-452.
1989年9月-1994年7月,清华大学,自动控制专业,学士
1994年9月-2000年6月,清华大学,控制理论与控制工程专业,硕士、博士
智能机器人教育部工程研究中心 副主任
吉林省智能科学与工程联合重点实验室 主任
吉林省人工智能与无人系统(智能无人系统)工程研究中心 主任
中国人工智能学会(CAAI)人机融合智能专业委员会 主任委员
中国人工智能学会(CAAI)脑与AI决策咨询专家团队 核心专家
复旦大学电子信息专业学位研究生教育指导委员会 副主任
复旦大学工程与应用技术研究院 学术委员会委员
复旦大学工程与应用技术研究院 教学指导委员会委员
复旦大学工程与应用技术研究院 高级专业技术职务评审委员会委员
科技创新2030-“新一代人工智能”重大项目责任专家、主审专家
全国信标委生物特征识别分委会(TC28/SC37)委员兼行为识别工作组组长
国际电工委员会生物数字融合标准化评估组 (IEC / SEG 12) 国内专家组专家
中国医学装备协会管理分会医学与工程技术转化应用学组 副组长
中国仿真学会(CSF)第一届智能无人系统建模与仿真专业委员会 委员
吉林省机器人学会 副理事长
吉林省院士专家联合会 常务理事
吉林国家应用数学中心 学术委员会委员
长春理工大学人工智能学院专家委员会 副主任
集成芯片与系统国家重点实验室 固定成员
吉林大学唐敖庆讲座教授、长春大学客座教授、东北电力大学客座教授
2024年,2023年中国产学研合作创新奖
2023年,全国归侨侨眷先进个人
2023年,2023中国元宇宙产业领军人物
2023年,2023中国元宇宙产业发展推动奖
2023年,《科学中国人》2022年度“影响力科学家”
2022年,中国人工智能学会会士(CAAI Fellow)
2022年,全国最美科技工作者候选人(中国人工智能学会推荐)
2022年,2021中国光学十大进展(应用研究类)
2022年,吉林省拔尖创新人才(第一层次)
2021年,中国人工智能学会优秀科技工作者
2021年,中国人工智能学会优秀科技成果奖
2021年,上海市“科技创新行动计划”优秀学术/技术带头人
2020年,中国人工智能学会优秀会员
2017年,国家级特聘专家
2015年,国侨办重点华侨华人创业团队