Hi, I'm Xin Wang, a Ph.D. Candidate of FVL Lab in the School of Computer Science at Fudan University, advised by Prof. Xingjun Ma and Prof. Yu-Gang Jiang. Prior to this, I worked as a computer vision algorithm engineer at iFLYTEK.

Recently, my research interest lies at the intersection of trustworthy machine learning, AI safety in multimodal LLM, and deep generative models. Feel free to reach me at xinwang22 [at] m [dot] fudan [dot] edu [dot] cn, or take my CV.

Publications

TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma
arxiv, 2024

Adversarial Prompt Distillation for Vision-Language Models
Lin Luo, Xin Wang, Bojia Zi, Shihao Zhao, Xingjun Ma
arxiv, 2024

AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
Xin Wang, Kai Chen, Xingjun Ma, Zhineng Chen, Jingjing Chen, Yu-Gang Jiang
ACM MM, 2024

Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang
ECCV, 2024

Lossless Medical Image Compression Based on Anatomical Information and Deep Neural Networks
Qiusha Min, Xin Wang, Bo Huang, Zhongwei Zhou
Biomedical Signal Processing and Control, 2022

Web-Based Technology for Remote Viewing of Radiological Images: App Validation
Qiusha Min*, Xin Wang*, Bo Huang, Liangzhou Xu (*these authors contributed equally)
Journal of Medical Internet Research, 2020

Experiences

Computer Vision Research Algorithm Engineer
Turing Group, iFLYTEK, CN
2021.07 ~ 2022.01
Topic: Computer Vision and Federated Learning

Awards and Honors

  • iDash Privacy & Security Challenge Track 3: Confidential Computing, Ranked 1st, 2021.
  • Outstanding Graduate Award, Central China Normal University, 2021.
  • Outstanding Master's Thesis Award, Central China Normal University, 2021.