I am a 4th-year Ph.D. student of artificial intelligence at Xi’an Jiaotong University, advised by Prof. Badong Chen, and I am part of the National Key Laboratory of Human-Machine Hybrid Augmented Intelligenceled by Nanning Zheng (IEEE Fellow, Membership of Chinese Academy of Engineering). During the period from 2023.11.01 to 2024.10.31, I worked in Advanced Intelligence Project (AIP) of RIKEN center for joint IPA project, advised by Prof. Qibin Zhao. Prior to this, I completed a three-month internship in the same team. I was also very glad to have the opportunity to work with Danilo P. Mandic. Previously, I obtained my bachelor’s degree from Shandong University in 2019.

🔭 My research interests lie in causal discovery, generalization in computer vision, adversarial learning, and theology.

✉️ Welcome to contact me for any discussion and cooperation!

💻 I am currently seeking a Postdoctoral position to further advance my research. If you happen to be aware of any relevant opportunities, I would be very grateful if you could let me know.

🔥 News

• [2024/07]: One paper (SPG) on VLM-based domain generalization got accepted by ECCV 2024.
• [2024/05]: One paper (JRNGC) on causal discovery got accepted by ICML 2024.
• [2023/12]: One paper (PDA) on VLM-based unsupervised domain adaptation got accepted by AAAI 2024, and one Paper on cross-domain few-shot classification got accepted by ICASSP 2024.

📝 Publications

PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization

Haoran Zhang*, Shuanghao Bai*, Wanqi Zhou, Jingwen Fu, Badong Chen

arXiv 2024

arXiv | Code

Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Wanqi Zhou, Shuanghao Bai*, Danilo P. Mandic, Qibin Zhao, Badong Chen

arXiv 2024

arXiv | Code

Soft Prompt Generation for Domain Generalization

Shuanghao Bai*, Yuedi Zhang*, Wanqi Zhou, Yicong He, Zhirong Luan, Badong Chen

ECCV 2024

arXiv | Code | Chinese Intro

An Information-Theoretic Approach for Heterogeneous Differentiable Causal Discovery

Wanqi Zhou, Shuanghao Bai, Qibin Zhao, Badong Chen

SSRN 2024

SSRN

Jacobian Regularizer-based Neural Granger Causality

Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen

ICML 2024

Paper | arXiv | Code

Prompt-based Distribution Alignment for Unsupervised Domain Adaptation

Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen

AAAI 2024

Paper | arXiv | Code

Improving Cross-domain Few-shot Classification with Multilayer Perceptron

Shuanghao Bai, Wanqi Zhou, Zhirong Luan, Donglin Wang, Badong Chen

ICASSP 2024

Paper | arXiv | Code

Causality Detection with Matrix-based Transfer Entropy

Wanqi Zhou, Shujian Yu, Badong Chen

INS 2022

Paper | Code

* denotes equal contribution.

🏅 Honors and Awards

• Outstanding Graduate Student, Xi’an Jiaotong University, 2023, 2022
• National First Prize in the BCI Brain-Controlled Robot Competition at the 2021 World Robot Competition, 2021
• Outstanding Graduate Student Cadres, Xi’an Jiaotong University, 2020
• Outstanding Undergraduate Graduates, Shandong University, 2019
• National Scholarship, 2018
• Provincial First Prize in the National Undergraduate Mathematical Modeling Competition
• National Scholarship,2016

📖 Professional services

Conference Reviewer

• CVPR 2025 AAAI 2025 ACML 2024 ICDM 2024 ACM MM 2024

Journal Reviewer

• TNNLS