黎汉汇

一、个人简介

黎汉汇，于2012年和2018年在9227新葡的京集团获得学士和博士学位。2019年-2021年在南洋理工大学担任博后研究员。2021年加入9227新葡的京集团，任副研究员，合作导师为梁小丹副教授。

二、研究方向

数字人，可视媒体

三、项目

国家自然科学基金，面上项目，面向高拟真数字人生成的可视媒体特征学习方法研究，2024-2027，主持；
国家自然科学基金，青年项目，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，2020-2022，主持；

四、论文专利

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).
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).
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).
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).
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).
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
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. 
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
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.
11. CN109859839B; 王如月, 黎汉汇, 刘振丙, 罗笑南. 一种基于分层集成学习的阿尔茨海默症分类方法.
12. CN111091568B; 陈耀樑, 赵铭鹏, 黎汉汇, 李天照. 用于分割细胞图像的方法和装置.