Guo-Hua Wang (王国华)

	Guo-Hua Wang, Ph.D., LAMDA Group Department of Computer Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Supervisor: Prof. Jianxin Wu e-mail: wangguohua {at} lamda.nju.edu.cn, wangguohuakey {at} gmail.com CV: English version

He has successfully defended his PhD dissertation and here is his new homepage. (Update 2023)

Biography

Guo-Hua Wang received his Ph.D. degree from Department of Computer Science and Technology of Nanjing University in May 2023, and he was a member of LAMDA Group. Before his Ph.D. career, he received the B.Sc. degree in School of Management & Engineering in June 2018 from Nanjing University. In the same year, he was admitted to study for the Ph.D. degree in Nanjing University without entrance examination.

His research interests include Machine Learning and Deep Learning. Currently, he focuses on:

Multi-model Learning: Knowledge Distillation, Model Compression/Acceleration.
Few-label Learning: Semi-Supervised Learning, Few-shot Learning.

Practical Network Acceleration with Tiny Sets
Guo-Hua Wang, Jianxin Wu.
In: Proc. the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 2023, pp. 20331-20340.
[Open Access][arXiv][PDF][poster][code][virtual]
EVC: Towards Real-Time Neural Image Compression with Mask Decay
Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu.
In: Proc. the 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023, pp.1-23.
[openreview][arXiv][PDF][poster][code][virtual]
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning
Guo-Hua Wang, Jianxin Wu.
In: Proc. the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb. 2020, pp. 6170-6177.
[paper][arXiv][PDF][poster][code]

How to Reduce Change Detection to Semantic Segmentation
Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang.
Pattern Recognition (PR), Vol. 138, Article 109384, 2023.
[ScienceDirect][arXiv][PDF][code]
Distilling Knowledge by Mimicking Features
Guo-Hua Wang, Yifan Ge, Jianxin Wu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(11):8183-8195, 2022.
[IEEE Xplore][arXiv][PDF][code]

Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm (His best paper)
Guo-Hua Wang, Jianxin Wu.
In arXiv preprint arXiv:2303.00972, 2023.
[arXiv][PDF][code]
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning
Guo-Hua Wang, Jianxin Wu.
In arXiv preprint arXiv:2202.08955, 2022.
[arXiv][PDF][code]
PENCIL: Deep Learning with Noisy Labels
Kun Yi, Guo-Hua Wang, Jianxin Wu.
In arXiv preprint arXiv:2202.08436, 2022.
[arXiv][PDF][code]

Outstanding Graduate of Nanjing University. 2023
Microsoft Research Asia Stars of Tomorrow (Award of Excellence). 2022
National Scholarship for Doctoral Students. 2021
Excellent Student of Nanjing University. 2020,2021
Honorable mention in the competition of 2020 DIGIX Global AI Challenge. [slides][code]
Scholarship of CFETS Information Technology. 2019
Presidential Special Scholarship for first year Ph.D. Student in Nanjing University. 2018
Outstanding Graduate of Nanjing University. 2018
National Third Prize of the 3rd China Data Mining Competition. 2018
Excellent Student of Nanjing University. 2016,2017
Pacemaker to Excellent Youth League Member. 2016
National Scholarship for Undergraduate Students. 2015

Guo-Hua Wang
State Key Laboratory for Novel Software Technology
Nanjing University
163 Xianlin Avenue, Qixia District
Nanjing 210023, China

912, Building of Computer Science and Technology, Xianlin Campus of Nanjing University