代表性研究成果
[1]Zhiqun Zhao, Hengyou Wang, Hao Sun, and Zhihai He. “L1-Norm Low-rank Linear Approximation for Accelerating for Accelerating Deep Neural Networks.”, Neurocomputing 400 (2020): 216-226. （中科院二区期刊）
[2]Zhao, Zhiqun, Hengyou Wang, Hao Sun, Jianhe Yuan, Zhongchao Huang, and Zhihai He. “Removing adversarial noise via low-rank completion of high-sensitivity points.” IEEE Transactions on Image Processing 30 (2021): 6485-6497. （CCF-A 中科院一区期刊 ）
[3]Zhiqun Zhao, Hengyou Wang, Hao Sun, Wenming Cao, Zhihai He. “Structure-Oriented Progressive Low-rank Image Restoration for Defending Adversarial Attacks”, In 2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE, 2021 (oral). （CCF-B 会议）
[4] Hao Sun,Zhiqun Zhao, and Zhihai He. “Reciprocal Learning Networks for Human Trajectory Prediction.”, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7416-7425. 2020. (oral). （CCF-A 会议）
[5] Sun Hao,Zhiqun Zhao, Zhaozheng Yin, and Zhihai He. “Reciprocal twin networks for pedestrian motion learning and future path prediction.” IEEE Transactions on Circuits and Systems for Video Technology 32, no. 3 (2021): 1483-1497.（中科院一区期刊）
[6] Yang Li,Zhiqun Zhao, Hao Sun, Yigang Cen and Zhihai He. “Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets.” IEEE Transactions on Multimedia 23 (2020): 1354-1366.（中科院一区期刊）
[7] Sun Hao,Zhiqun Zhao, Zhaozheng Yin, and Zhihai He. “Reciprocal twin networks for pedestrian motion learning and future path prediction.” IEEE Transactions on Circuits and Systems for Video Technology 32, no. 3 (2021): 1483-1497.（中科院一区期刊）
[8] Liu, Libin,Zhiqun Zhao, Wei Ma, Siyuan Zhang, and Hongbin Zha. “Structured 3D Gaussian Splatting for Novel View Synthesis Based on Single RGB-LiDAR View.” Applied Intelligence 55, no. 7 (2025): 603. https://doi.org/10.1007/s10489-025-06494-2.
