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.