Chao Wang
About Me
I am a final-year Ph.D. student (CIFRE) at EURECOM, Sorbonne University and HUAWEI Paris Research Center, adviced by Pietro Michiardi, Alessandro Finamore, and Giulio Franzese. Before that, I received my double Master/Engineering degree in Data Science from CentraleSupélec, Paris-Saclay University and in System Engineering from Beihang University, and my bachelor’s degree in Mathematics and Applied Mathematics from Beihang University. I also interned at HUAWEI Paris Research Center and EDF R&D France. My research focuses on:
-
Generative models for multimodality: Generative models (e.g. Diffusion Models, Flow Matching models) for multimodal conditional generation (e.g. Text-to-Image) still face challenges on aligning the generated samples with complex condition signals. I develop generative models-based Multual Information (MI) estimators, and use MI to guide model alignment.
-
Data augmentation for network Traffic Classification (TC): In TC, large-scale datasets with high-quality labeling is expensive. To alleviate this burden, I develop augmentation methods by hand-crafted functions and generative models to boost classifiers’ generalization and robustness in multiple use cases.
News
-
[Jan. 2025] Our paper “Information Theoretic Text-to-Image Alignment” is accepted to International Conference on Learning Representations (ICLR) 2025!
-
[Mar. 2024] Our paper “Data Augmentation for Traffic Classification” is accepted to Passive and Active Measurement Conference (PAM) 2024, and is selected as best paper runner-up!
-
[Oct. 2023] Our paper “Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation” is accepted to Proceedings of ACM on Internet Measurement Conference (IMC) 2023!
Education
-
EURECOM, Sorbonne University & HUAWEI Paris Research Center
Sep. 2022 - Sep. 2025 -
Beihang University
Sep. 2019 - Jun. 2022 -
CentraleSupélec, Paris-Saclay University
Sep. 2018 - Dec. 2021 -
Beihang University
Sep. 2015 - Jun. 2019
Work Experience
-
Hosts: Alessandro Finamore, Massimo Gallo
Sep. 2022 - Sep. 2025 -
Hosts: Alessandro Finamore, Lixuan Yang
Apr. 2021 - Oct. 2021 -
Host: Elliot Butty
Jul. 2020 - Sep. 2020
Publications
-
International Conference on Learning Representations (ICLR) Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, 2025.
-
International Conference on Learning Representations (ICLR), 2025.
-
Passive and Active Measurement Conference (PAM), 2024.Paper Best paper runner-up
-
Conference on emerging Networking EXperiments and Technologies - Student Workshop (CoNEXT-SW), 2023.
-
Proceedings of ACM on Internet Measurement Conference (IMC), 2023.
-
Network Traffic Measurement and Analysis Conference (TMA), 2023.
-
ACM SIGCOMM Computer Communication Review, 2022.
-
IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 2024.
Services
Conference Reviewers
Journal Reviewers
Powered by Jekyll and Minimal Light theme.