Career Profile
I am Xinli Yue, currently working as an Algorithm Engineer at WeChat. I graduated from Wuhan University, where I was a master student at the NIS&P Lab, supervised by Qian Wang. My research focuses on adversarial training and video quality assessment. I have also served as a reviewer for TNNLS, TIP, TPAMI, and NeurIPS.
Publications
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025
[Paper]
Revisiting Adversarial Training under Long-Tailed Distributions
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
Advances in Neural Information Processing Systems (NeurIPS), 2023
Fairness is Essential for Robustness: Fair Adversarial Training by Identifying and Augmenting Hard Examples
Frontiers of Computer Science (FCS)
[Paper]
Advancing Video Quality Assessment for AIGC
[Paper]
Experiences
Research on Video Quality Assessment for WeChat Channels.
Education & Awards
- Outstanding graduate student of Wuhan University, 2025
- National Scholarship, 2024
- Graduate Study Scholarship, 2023
- “China Optics Valley·Huawei Cup” 19th China Graduate Mathematics Modeling Competition, National Third Prize, 2022
- Outstanding undergraduate graduate of Wuhan University, 2022
- Luoge-Tianyou Scholarship (top 1%), Wuhan University, 2021
- The 12th National College Student Mathematics Competition (Non-mathematics Category), Third Prize, 2020
- National College Students’ Mathematical Modeling Contest, Hubei Provincial Second Prize, 2020
- The 11th National College Student Mathematics Competition (Non-mathematics Category), Third Prize, 2019