XLearning

Faculty

Xi Peng

Xi Peng

彭玺
Professor, Principal Investigator
Leading XLearning Group at the College of Computer Science, Sichuan University. From 2014 to 2017, he was a research scientist at A*STAR Singapore. He received his Ph.D. degree from Sichuan University in 2013.

Research Interests

Machine LearningImage ProcessingMulti-modal LearningClusteringAI4LifeScience
Peng Hu

Peng Hu

胡鹏
Professor, Co-Principal Investigator
Currently an associate researcher at the College of Computer Science, Sichuan University. From 2019 to 2020, he was a research scientist at A*STAR Singapore. He received his Ph.D. degree in computer science from Sichuan University in 2019.

Research Interests

Multi-view LearningCross-modal RetrievalNetwork Compression
Hao Wang

Hao Wang

王浩
Associate Professor, Co-Principal Investigator
Hao Wang is a Research Associate Professor with the College of Computer Science at Sichuan University (SCU). He received his Ph.D. in Computer Science from Southwest Jiaotong University (SWJTU). Before joining SCU, he worked at Zhejiang Lab and was a Research Fellow at Nanyang Technological University (NTU). He was also a Visiting Student at the University of Illinois at Chicago (UIC) for two years and a Visiting Scholar at the University of Regina.
Yuanbiao Gou

Yuanbiao Gou

缑元彪
Postdoctoral Researcher, Co-Principal Investigator
He received his Ph.D. degree in 2025 from the College of Computer Science, Sichuan University, Chengdu, China, under the supervision of Professor Xi Peng. He is currently a postdoctoral researcher at the College of Computer Science, Sichuan University. His research interests include image restoration and enhancement, multi-view analysis, and computational imaging.

Research Interests

Image Restoration and EnhancementMulti-view AnalysisComputational Imaging
Yunfan Li

Yunfan Li

李云帆
Postdoctoral Researcher, Co-Principal Investigator
He received his Ph.D. degree in 2025 from the College of Computer Science, Sichuan University, Chengdu, China, under the supervision of Professor Xi Peng. He is currently a postdoctoral researcher at the College of Computer Science, Sichuan University. His research interests include clustering, unsupervised learning, and AI for Science.

Research Interests

ClusteringUnsupervised LearningAI4LifeScience (AI for Life Science)
Mouxing Yang

Mouxing Yang

杨谋星
Postdoctoral Researcher, Co-Principal Investigator
He received his Ph.D. degree in 2025 from the College of Computer Science, Sichuan University, Chengdu, China, under the supervision of Professor Xi Peng. His research interests mainly focus on Multi-modal Learning and Multi-view Learning, especially the challenges encountered in open scenarios, such as missing modalities, imbalanced modalities and noisy correspondence.

Research Interests

Multi-modal LearningLearning with Noisy Correspondence

Ph.D. Students

Haiyu Zhao

Haiyu Zhao

赵海宇
Ph.D. 2022
His major interests include Image Restoration and Video Restoration. Now, I focus on all-in-one image and video restoration and try to develop light and effective models for all restoration tasks.
Image Restoration and Translation
Haobin Li

Haobin Li

李浩斌
Ph.D. 2022
His major research interests lie in multi-modal learning. Currently, he focuses on enhancing model robustness during both the training and testing phases.
Multi-modal Learning
Yiding Lu

Yiding Lu

鲁一丁
Ph.D. 2022
Multi-modal Learning
Changhao He

Changhao He

何长浩
Ph.D. 2023
He studies multimodal learning & noisy correspondence — making models less fussy about imperfect data. Used to build machines, now he trains them. SCU 2019–∞.
Multi-modal LearningLearning with Noisy Correspondence
Honglin Liu

Honglin Liu

刘泓麟
Ph.D. 2023
He is currently pursuing a PhD at the School of Computer Science, Sichuan University. His research focus on deep clustering and representation learning.
Deep ClusteringRepresentation Learning
Ruohong Yang

Ruohong Yang

杨若弘
Ph.D. 2024
A direct Ph.D. student at the School of Computer Science, Sichuan University. Her research interests lie in the areas of unsupervised learning.
Unsupervised Learning
Yiwen Shan

Yiwen Shan

单义文
Ph.D. 2024
Kaiqi Chen

Kaiqi Chen

陈凯奇
Ph.D. 2025
He is currently studying as a direct Ph.D. student at the College of Computer Science, Sichuan University, majoring in Computer Science and Technology. He previously graduated with a bachelor’s degree from the College of Computer Science, Sichuan University in 2025.
Zhichao Huang

Zhichao Huang

黄智超
Ph.D. 2025
He is currently pursuing the PhD degree with the School of Computer Science, Sichuan University. His research interest includes multi-modal learning.

MSc. Students

Qihong Song

Qihong Song

宋奇鸿
MSc. 2023
Currently a postgraduate student at the School of Computer Science, Sichuan University. From 2019 to 2023, he completed his undergraduate studies in Electronic Information Engineering at University of Electronic Science and Technology of China.
Ruiming Guo

Ruiming Guo

郭睿明
MSc. 2023
Multi-modal Learning

Guofeng Ding

丁国峰
MSc. 2024
Multi-modal Learning
Kai Guo

Kai Guo

郭凯
MSc. 2024
His research interests lie in the areas of multi-modal learning and continual learning, with a focus on disentangling and enhancing the robustness of multi-view representations, as well as developing methods for multi-modal continual learning.
Multi-modal Learning
Shuxian Li

Shuxian Li

李书贤
MSc. 2024
A postgraduate student at the School of Computer Science, Sichuan University. He completed his undergraduate studies at the School of Computer Science, Sichuan University, from 2020 to 2024.
Haochen Zhou

Haochen Zhou

周昊晨
MSc. 2025
He is a postgraduate student at the College of Computer Science, Sichuan University, where he also earned his bachelor's degree in Computer Science and Technology in 2025. His current research focuses on multimodal learning.
Jiajin Li

Jiajin Li

李佳进
MSc. 2025
He is an undergraduate graduate of the School of Computer Science, Sichuan University, and obtained a degree in Artificial Intelligence in 2025.
Jun Fu

Jun Fu

付均
MSc. 2025
He is currently pursuing a master's degree at the School of Computer Science, Sichuan University. His research interests lie in the areas of unsupervised learning.
Shuhao Yan

Shuhao Yan

鄢书豪
MSc. 2025
A postgraduate student majoring in Electronic and Information Engineering at Sichuan University. His research interests lie in the areas of Agents.
Tianxing Zhu

Tianxing Zhu

朱天行
MSc. 2025
A postgraduate student at the School of Computer Science, Sichuan University. He completed his undergraduate studies in Artificial Intelligence at Northeastern University of China from 2021 to 2025.
Yunmiao Zheng

Yunmiao Zheng

郑云淼
MSc. 2025
He is a postgraduate student at the College of Computer Science, Sichuan University. His current research focuses on continual learning and multimodal learning.
Yutong Yang

Yutong Yang

杨羽彤
MSc. 2025
She is pursuing her Master's degree in Computer Science at Sichuan University, where she previously received her Bachelor's degree in Computer Science and Technology in 2025.

Alumni

Zhenyu Huang

黄振宇
Ph.D. 2018 to 2023
Ant Star SSP, Ant Group
Multi-modal Learning
Boyun Li

Boyun Li

李伯运
Ph.D. 2019 to 2025
Postdoc, University of Macau
Boyun Li is currently a Postdoctoral Fellow at University of Macau. He received his B.E. and Ph.D. degrees from College of Computer Science, Sichuan University in 2019 and 2025, respectively, supervised by Prof. Xi Peng. His research focuses on Computer Vision and Deep Learning, particularly on the all-in-one image restoration and representation learning.
Image Restoration and Translation
Yijie Lin

Yijie Lin

林义杰
Ph.D. 2020 to 2025
Postdoc
Yijie Lin received the bachelor's (2020) and PhD (2025) degrees from the School of Computer Science, Sichuan University, Chengdu, China. His research interest includes multi-modal learning and AI4LifeScience. On these areas, he has authored more than 10 articles in the top-tier conferences and journals.
Multi-modal LearningLearning with Noisy Correspondence

Wenxin Wang

王文昕
MSc. 2022 to 2025
Huawei
Image Restoration and Translation

Xinran Ma

马鑫然
MSc. 2022 to 2025
BYD Company Ltd.
Multi-modal Learning