Welcome to my homepage! I am currently a PhD candidate at the College of Computer Science, Sichuan University 
, China, under the supervision of Professor Dezhong Peng (彭德中) and Professor Peng Hu (胡鹏). Our research team focuses on enhancing the robustness and adaptability of multimodal retrieval, recognition, and other systems to meet the challenges of real-world deployment and applications.
My research primarily revolves around machine learning and optimization. I am particularly interested in topics such as multimodal learning, domain generalization, foundation models, and other emerging fields in AI and machine learning. Through my work, I aim to improve the scalability, effectiveness, and robustness of models and systems, ensuring their adaptability across diverse environments and tasks.
In addition to my academic pursuits, I am actively involved in cutting-edge engineering application aimed at bridging the gap between theoretical advancements and practical applications.
🔥 Recent News
- 2025.02: 🎉 One papers is accepted by CVPR (CCF-A) as highlights paper (13.5% accepted rate), celebrate to co-authors!
- 2025.01: 🎉 One papers is accepted by TIFS (CCF-A)
- 2024.11: 🎉 Awarded Doctoral Innovation Scholarship
- 2024.06: 🎉 One papers is accepted by TIP (CCF-A)
- 2024.06: 🎉 One papers is accepted by TKDE (CCF-A), celebrate to co-authors!
📝 Publications
(*equal contribution, #corresponding author)
2025
- A Kernelized Fuzzy Approximation Fusion Model with Granular-ball Computing for Outlier Detection,
Information Fusion,JCR: Q1
Yongxiang Li, Xinyu Su,, Zhong Yuan, Run Ye, Dezhong Peng, Hongmei Chen - Multi-granularity confidence learning for unsupervised text-to-image person re-identification with incomplete modality,
Knowledge-Based Systems (KBS)JCR: Q1
Yongxiang Li, Dezhong Peng, Haixiao Huang, Yizhi Liu, Huiming Zheng, Zheng Liu - ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence,
Conference on Computer Vision and Pattern Recognition (CVPR),CCF-A
Yuan Sun, Yongxiang Li, Zhenwen Ren, Guiduo Duan, Dezhong Peng, Peng Hu - Learning Source-free Domain Adaptation for Infrared Small Target Detection,
IEEE Signal Processing Letters (SPL)JCR: Q2
Hongxu Jin, Baiyang Chen, Qianwen Lu, Qingchuan Tao, and Yongxiang Li# - Outlier detection in mixed-attribute data: a semi-supervised approach with fuzzy approximations and relative entropy,
International Journal of Approximate Reasoning (IJAR),CCF-BJCR: Q3
Baiyang Chen, Zhong Yuan, Zheng Liu, Dezhong Peng, Yongxiang Li, Chang Liu, Guiduo Duan - Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification,
IEEE Transactions on Information Forensics and Security (TIFS),CCF-AJCR: Q1
Yongxiang Li, Yuan Sun, Yang Qin, Dezhong Peng, Xi Peng, Peng Hu
2024
- Underdetermined Blind Signal Separation with Smooth Approximation Function for Insufficiently Sparse Sources,
Circuits, Systems, and Signal Processing (CSSP)JCR: Q3
Yongxiang Li, Dezhong Peng, Yong Xiang, Yingke Chen, Qingchuan Tao - Applicability analysis of comprehensive drought index based on GRACE data in ten major river basins in China,
Journal of Hydrology (JH)JCR: Q1
Rong Wu, Zijun Wang, Chenfeng Cui, Yongxiang Li, Miao Tang, Jiangdong Chu, Renjie Xv, Chenrui Zhu, Shuo Wang, Yuli Li, Chengyuan Zhang, Zhannan Huang - Distribution Consistency Guided Hashing for Cross-Modal Retrieval,
ACM International Conference on Multimedia (ACM MM),CCF-A
Yuan Sun, Kaiming Liu, Yongxiang Li, Zhenwen Ren, Jian Dai, Dezhong Peng - RoMo: Robust Unsupervised Multimodal Learning With Noisy Pseudo Labels,
IEEE Transactions on Image Processing (TIP),CCF-AJCR: Q1
Yongxiang Li, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu - Robust multi-view clustering with noisy correspondence,
IEEE Transactions on Knowledge and Data Engineering (TKDE),CCF-AJCR: Q1
Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu - DEAR: a novel deep-level semantics feature reinforce framework for Infrared Small Object Segmentation,
The Visual Computer (TVC)JCR: Q2
Yihe Nie, Xingbo Zhao, Yongxiang Li#, Qianwen Lu, Qingchuan Tao, Yanmei Yu - Fusing multi-scale fuzzy information to detect outliers,
Information Fusion (InF)JCR: Q1
Baiyang Chen*, Yongxiang Li*, Dezhong Peng, Hongmei Chen, Zhong Yuan
2023
- Assessment of variability and attribution of drought based on GRACE in China from three perspectives: Water storage component, climate change, water balance,
Remote Sensing (RS)JCR: Q1
Rong Wu, Chengyuan Zhang, Yuli Li, Chenrui Zhu, Liang Lu, Chenfeng Cui, Zhitao Zhang, Shuo Wang, Jiangdong Chu, Yongxiang Li - Statistically dependent blind signal separation under relaxed sparsity,
IEEE Signal Processing Letters (SPL)JCR: Q2
Yongxiang Li, Dezhong Peng, Yong Xiang, Qingchuan Tao, Zhong Yuan
2021
- SF-GAN: Face de-identification method without losing facial attribute information,
IEEE Signal Processing Letters (SPL)JCR: Q2
Yongxiang Li, Qianwen Lu, Qingchuan Tao, Xingbo Zhao, Yanmei Yu
💻 Internships
- 2021.12 - 2022.03, Tencent (腾讯), focused on VFX anomaly detection in the game Honor of Kings.
- 2021.08 - 2021.11, Megvii (旷视), focused on HDR algorithm on the mobile phone.
🧑🎨 Academic Service
Members:
- IEEE Student Member;
- Student member of China Society of Image and Graphic;
- Student member of China Computer Society.
Selected Journal Reviewer:
- IEEE Transactions on Image Processing (TIP);
- IEEE Transactions on Multimedia (TMM);
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS);
- IEEE Transactions on Vehicular Technology (TVT);
- Journal of Big Data (JBD).
Selected Conference Reviewer:
- Conference on Computer Vision and Pattern Recognition (CVPR) 2023-;
- European Conference on Computer Vision (ECCV) 2024-;
- International Conference on Computer Vision (ICCV) 2025-;
- Conference on Neural Information Processing Systems (NeurIPS) 2024-;
- International Conference on Machine Learning (ICML) 2024-;
- International Conference on Learning Representations (ICLR) 2024-;
- AAAI Conference on Artificial Intelligence (AAAI) 2025-.
🎖 Honors and Awards
- 2024.11 Doctoral Innovation Scholarship (Top 5%);
- 2024.07 First-class Scholarship for Doctoral Students (Top 5%);
- 2021.11 Huawei Scholarship (Top 5%);
- 2021-2024 Excellent Graduate Student of Sichuan University (Top 20%).