HomeFacultyHanhui Li
黎汉汇
Hanhui Li
Research Scientist
lihanhui@mail3.sysu.edu.cn

教师简介


任职于中山大学智能工程学院,副研究员,合作导师:梁小丹副教授

 

 

研究领域


图像处理,深度学习,计算机视觉,人工智能

 

 

 

教育及研究经历


2008.09 ~ 2012.06: 中山大学,计算机科学与技术专业,理学学士

2017.05 ~ 2017.11: 悉尼科技大学,访问学者,导师:Xiangjian He

2012.09 ~ 2018.06: 中山大学,计算机软件与理论专业,工学博士,导师:罗笑南

2018.06 ~ 2021.06: 桂林电子科技大学,广西图像图形与智能处理重点实验室,成员,导师:罗笑南

2019.05 ~ 2021.04: 南洋理工大学,Institute for Media Innovation, Research Fellow,导师:Xudong Jiang, Nadia Magnenat Thalmann

2021.04 ~ 2021.11: 南洋理工大学,School of Electrical and Electronic Engineering, Research Fellow, 导师:Xudong Jiang,  Zhiping Lin

2021.11 ~ 至今:  中山大学,智能工程学院,副研究员,合作导师:梁小丹

 

 

科研项目


1.    基于深度神经网络的三维可视媒体特征学习与优化方法研究,国家自然科学基金,青年科学基金项目,项目编号: 61902088(2020.01 ~ 2022.12,主持);

2.    几何观点下的深度学习可解释性的关键理论与模型构建,国家自然科学基金,重点项目,项目编号:61936002 (2020.01 ~ 2024.12,参与);

3.    Zygote Morphokinetic Predictor,香港创新科技署,大学科技初创企业资助计划,项目编号:TSU21MED16 (2021.04 ~ 2022.03,主要成员);

4.    A Deep-learning based Semen Analysis Software for Better Screening Male Infertility in Hong Kong,香港中文大学,科技及商业发展资助计划,(2021.08 ~ 2022. 07,主要成员);

5.    智能医疗信息的检索分析及三维重建,国家自然科学基金,合作研究—重大国际(地区)合作研究项目,项目编号:61320106008(2014.01 ~ 2018.12,参与);

6.    形体动作教学中的互动相似性表达与时空关联分析方法,国家自然科学基金,面上项目,项目编号:61772140 (2018.01 ~ 2021.12,参与);

 

 

代表性论著


 

  1. Hanhui Li, Xudong Jiang, Boliang Guan, Ruomei Wang, Nadia Magnenat Thalmann. Multistage Spatio-Temporal Networks for Robust Sketch Recognition. IEEE Transactions on Image Processing. 31: 2683-2694 (2022). (中科院一区,IF 10.856).
  2. Hanhui Li, Xudong Jiang, Boliang Guan, Raymond Tan, Ruomei Wang, Nadia Magnenat Thalmann. Joint Feature Optimization and Fusion for Compressed Action Recognition. IEEE Transactions on Image Processing. 30: 7926-7937 (2021). (中科院一区,IF 10.856).
  3. Hanhui Li, Hefeng Wu, Huifang Zhang, Shujin Lin, Xiaonan Luo, Ruomei Wang. Distortion-Aware Correlation Tracking. IEEE Transactions on Image Processing. 26(11): 5421-5434 (2017). (中科院一区,IF 10.856)
  4. Hanhui Li, Hefeng Wu, Shujin Lin, Xiaonan Luo. Coupling deep correlation filter and online discriminative learning for visual object tracking. Journal of Computational and Applied Mathematics. 329: 191-201 (2018). (中科院二区)
  5. Hanhui Li, Hefeng Wu, Donghui Li, Shujin Lin, Zhuo Su, Xiaonan Luo. PSI: A probabilistic semantic interpretable framework for fine-grained image ranking. Journal of the Association for Information Science and Technology. 69(12): 1488-1501 (2018). (CCF B类期刊)
  6. Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng. BodyGAN: General-purpose Controllable Neural Human Body Generation. IEEE Conference on Computer Vision and Pattern Recognition, 2022: 7733-7742 (CCF-A类会议,共同一作)
  7. Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Xiaodan Liang. Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. Advances in Neural Information Processing Systems. 2022. ( CCF-A类会议,共同一作)
  8. Hanhui Li, Donghui Li, Xiaonan Luo. BAP: Bimodal Attribute Prediction for Zero-Shot Image Categorization. ACM Multimedia 2014: 1013-1016. (CCF A类会议)
  9. Hanhui Li, Xinggan Peng, Huiping Zhuang, Zhiping Lin. Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection. IEEE International Conference on Acoustics, Speech and Signal Processing 2022: 3438-3442 (CCF B类会议)
  10. Hanhui Li, Xudong Jiang, Boliang Guarn, and Nadia Magnenat Thalmann. Efficient Sketch Recognition Via Compact Spatial Embedding Graph Neural Networks. IEEE International Conference on Multimedia & Expo 2021. (CCF B类会议)
  11. Hanhui Li, Hefeng Wu, Xiangjian He, Shujin Lin, Ruomei Wang, Xiaonan Luo. Multi-view pairwise relationship learning for sketch based 3D shape retrieval. IEEE International Conference on Multimedia & Expo 2017: 1434-1439. (CCF B类会议)

 

 

Hanhui Li
Hanhui Li
Research Scientist
lihanhui@mail3.sysu.edu.cn

教师简介


任职于中山大学智能工程学院,副研究员,合作导师:梁小丹副教授

 

 

研究领域


图像处理,深度学习,计算机视觉,人工智能

 

 

 

教育及研究经历


2008.09 ~ 2012.06: 中山大学,计算机科学与技术专业,理学学士

2017.05 ~ 2017.11: 悉尼科技大学,访问学者,导师:Xiangjian He

2012.09 ~ 2018.06: 中山大学,计算机软件与理论专业,工学博士,导师:罗笑南

2018.06 ~ 2021.06: 桂林电子科技大学,广西图像图形与智能处理重点实验室,成员,导师:罗笑南

2019.05 ~ 2021.04: 南洋理工大学,Institute for Media Innovation, Research Fellow,导师:Xudong Jiang, Nadia Magnenat Thalmann

2021.04 ~ 2021.11: 南洋理工大学,School of Electrical and Electronic Engineering, Research Fellow, 导师:Xudong Jiang,  Zhiping Lin

2021.11 ~ 至今:  中山大学,智能工程学院,副研究员,合作导师:梁小丹

 

 

科研项目


1.    基于深度神经网络的三维可视媒体特征学习与优化方法研究,国家自然科学基金,青年科学基金项目,项目编号: 61902088(2020.01 ~ 2022.12,主持);

2.    几何观点下的深度学习可解释性的关键理论与模型构建,国家自然科学基金,重点项目,项目编号:61936002 (2020.01 ~ 2024.12,参与);

3.    Zygote Morphokinetic Predictor,香港创新科技署,大学科技初创企业资助计划,项目编号:TSU21MED16 (2021.04 ~ 2022.03,主要成员);

4.    A Deep-learning based Semen Analysis Software for Better Screening Male Infertility in Hong Kong,香港中文大学,科技及商业发展资助计划,(2021.08 ~ 2022. 07,主要成员);

5.    智能医疗信息的检索分析及三维重建,国家自然科学基金,合作研究—重大国际(地区)合作研究项目,项目编号:61320106008(2014.01 ~ 2018.12,参与);

6.    形体动作教学中的互动相似性表达与时空关联分析方法,国家自然科学基金,面上项目,项目编号:61772140 (2018.01 ~ 2021.12,参与);

 

 

代表性论著


 

  1. Hanhui Li, Xudong Jiang, Boliang Guan, Ruomei Wang, Nadia Magnenat Thalmann. Multistage Spatio-Temporal Networks for Robust Sketch Recognition. IEEE Transactions on Image Processing. 31: 2683-2694 (2022). (中科院一区,IF 10.856).
  2. Hanhui Li, Xudong Jiang, Boliang Guan, Raymond Tan, Ruomei Wang, Nadia Magnenat Thalmann. Joint Feature Optimization and Fusion for Compressed Action Recognition. IEEE Transactions on Image Processing. 30: 7926-7937 (2021). (中科院一区,IF 10.856).
  3. Hanhui Li, Hefeng Wu, Huifang Zhang, Shujin Lin, Xiaonan Luo, Ruomei Wang. Distortion-Aware Correlation Tracking. IEEE Transactions on Image Processing. 26(11): 5421-5434 (2017). (中科院一区,IF 10.856)
  4. Hanhui Li, Hefeng Wu, Shujin Lin, Xiaonan Luo. Coupling deep correlation filter and online discriminative learning for visual object tracking. Journal of Computational and Applied Mathematics. 329: 191-201 (2018). (中科院二区)
  5. Hanhui Li, Hefeng Wu, Donghui Li, Shujin Lin, Zhuo Su, Xiaonan Luo. PSI: A probabilistic semantic interpretable framework for fine-grained image ranking. Journal of the Association for Information Science and Technology. 69(12): 1488-1501 (2018). (CCF B类期刊)
  6. Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng. BodyGAN: General-purpose Controllable Neural Human Body Generation. IEEE Conference on Computer Vision and Pattern Recognition, 2022: 7733-7742 (CCF-A类会议,共同一作)
  7. Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Xiaodan Liang. Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. Advances in Neural Information Processing Systems. 2022. ( CCF-A类会议,共同一作)
  8. Hanhui Li, Donghui Li, Xiaonan Luo. BAP: Bimodal Attribute Prediction for Zero-Shot Image Categorization. ACM Multimedia 2014: 1013-1016. (CCF A类会议)
  9. Hanhui Li, Xinggan Peng, Huiping Zhuang, Zhiping Lin. Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection. IEEE International Conference on Acoustics, Speech and Signal Processing 2022: 3438-3442 (CCF B类会议)
  10. Hanhui Li, Xudong Jiang, Boliang Guarn, and Nadia Magnenat Thalmann. Efficient Sketch Recognition Via Compact Spatial Embedding Graph Neural Networks. IEEE International Conference on Multimedia & Expo 2021. (CCF B类会议)
  11. Hanhui Li, Hefeng Wu, Xiangjian He, Shujin Lin, Ruomei Wang, Xiaonan Luo. Multi-view pairwise relationship learning for sketch based 3D shape retrieval. IEEE International Conference on Multimedia & Expo 2017: 1434-1439. (CCF B类会议)