Portrait
Xu Wang
Assistant Professor
School of Intelligent Systems Science and Engineering, Jinan University
About Me

Xu Wang received the Ph.D. from the Department of Computer Science at City University of Hong Kong in 2024, under the supervision of Prof. Chung Chan. Before that, he received the B.Sc. and M.Sc. from the School of Mathematics at the South China University of Technology in 2016 and 2019, respectively.

He is currently an Assistant Professor with the School of Intelligent Systems Science and Engineering at Jinan University. His research interests include information theory and machine learning.

Education
  • City University of Hong Kong
    Department of Computer Science
    Ph.D.
    2019 - 2024
  • South China University of Technology
    School of Mathematics
    M.Sc.
    2016 - 2019
  • South China University of Technology
    School of Mathematics
    B.Sc.
    2012 - 2016
Honors & Awards
  • Research Tuition Scholarship, City University of Hong Kong
    2022
  • Best Poster Award, JTG/IEEE ITSoc Summer School 2022 (IIT Mandi)
    2022
  • National Scholarship for Encouragement, South China University of Technology
    2015
News
2026
2 papers accepted to IEEE Globecom 2026. 2026
Jul 01
2024
Joined Jinan University as an Assistant Professor with the School of Intelligent Systems Science and Engineering.
Sep 01
Received the Ph.D. from the Department of Computer Science, City University of Hong Kong.
Jun 01
2022
Received the Research Tuition Scholarship, City University of Hong Kong. Details
Jun 01
Selected Publications (view all )
Semantic HARQ: Joint source–channel coding-powered reliable retransmissions for IoT networks

Yongkang Li, Xu Wang, Zheng Shi, Di Wang, Yaru Fu

IEEE Internet of Things Journal 2026

Semantic HARQ: Joint source–channel coding-powered reliable retransmissions for IoT networks

Yongkang Li, Xu Wang, Zheng Shi, Di Wang, Yaru Fu

IEEE Internet of Things Journal 2026

Margin restoration for test-time adaptation of vision-language models

Yan Huang, Guowei Wang, Xu Wang, Kangjun Liu, Xin Lin

Proc. ACM Int. Conf. Multimedia (ACM MM) 2026

Margin restoration for test-time adaptation of vision-language models

Yan Huang, Guowei Wang, Xu Wang, Kangjun Liu, Xin Lin

Proc. ACM Int. Conf. Multimedia (ACM MM) 2026

Maximizing channel capacity in semantic communication: A classifier-based mutual information estimation approach

Xu Wang, Di Wang, Zheng Shi, Guanghua Yang

Proc. ICML Workshop Mach. Learn. Wireless Commun. 2025

Maximizing channel capacity in semantic communication: A classifier-based mutual information estimation approach

Xu Wang, Di Wang, Zheng Shi, Guanghua Yang

Proc. ICML Workshop Mach. Learn. Wireless Commun. 2025

Smoothed noise contrastive mutual information neural estimation

Xu Wang, Ali AlBashabsheh, Chao Zhao, Chung Chan

Journal of the Franklin Institute 2023 vol. 60, no. 16, pp. 12415–12435

Smoothed noise contrastive mutual information neural estimation

Xu Wang, Ali AlBashabsheh, Chao Zhao, Chung Chan

Journal of the Franklin Institute 2023 vol. 60, no. 16, pp. 12415–12435

Smoothed InfoNCE: Breaking the log N curse without overshooting

Xu Wang, Ali AlBashabsheh, Chao Zhao, Chung Chan

Proc. IEEE Int. Symp. Inf. Theory (ISIT) 2022 pp. 724–729

Smoothed InfoNCE: Breaking the log N curse without overshooting

Xu Wang, Ali AlBashabsheh, Chao Zhao, Chung Chan

Proc. IEEE Int. Symp. Inf. Theory (ISIT) 2022 pp. 724–729

Adaptive label smoothing for classifier-based mutual information neural estimation

Xu Wang, Ali AlBashabsheh, Chao Zhao, Chung Chan

Proc. IEEE Int. Symp. Inf. Theory (ISIT) 2021 pp. 1035–1040

Adaptive label smoothing for classifier-based mutual information neural estimation

Xu Wang, Ali AlBashabsheh, Chao Zhao, Chung Chan

Proc. IEEE Int. Symp. Inf. Theory (ISIT) 2021 pp. 1035–1040

All publications