Faculty
Xi Peng
彭玺Professor | Distinguished Professor of the Changjiang (Cheung Kong) Scholars Program
Xi Peng (彭玺) is leading XLearning Group at the College of Computer Science, Sichuan University as a Cheung Kong Professor. From 2014 to 2017, he was a research scientist at the Institute for Infocomm, Research Agency for Science, Technology, and Research (A*STAR) Singapore. He got his Ph.D. degree from Sichuan University in 2013. His current interests mainly focus on machine learning and its applications in image processing, computer vision, multi-modal analysis, and natural language processing.
Research Interests
Machine Learning
Image Processing
Computer Vision
Multi-modal Analysis
Natural Language Processing
AI4LifeScience
Peng Hu
胡鹏Professor | Young Scholar of the Changjiang (Cheung Kong) Scholars Program
Currently an professor 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 Learning
Cross-modal Retrieval
Network Compression
Hao Wang
王浩Associate Professor
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
缑元彪Postdoctoral Researcher
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 Enhancement
Multi-view Analysis
Computational Imaging
Yunfan Li
李云帆Postdoctoral Researcher
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
Clustering
Unsupervised Learning
AI4LifeScience (AI for Life Science)
Mouxing Yang
杨谋星Postdoctoral Researcher
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 Learning
Learning with Noisy Correspondence
Ph.D. Students
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
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
鲁一丁Ph.D. 2022
Multi-modal Learning
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 Learning
Learning with Noisy Correspondence
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 Clustering
Representation Learning
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
Shuxian Li
李书贤Ph.D. 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.
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
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
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.
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
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
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
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
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
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
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
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
Zhenyu Huang is currently a Senior Algorithm Expert at Ant Group. He received his B.Eng. (2018) and Ph.D. (2023) in Computer Science from Sichuan University, under the supervision of Prof. Xi Peng. His research interests include robust multimodal learning and reasoning-focused large language models, with contributions to Ling models. He has published more than 10 papers in leading venues including TPAMI, IJCV, NeurIPS, CVPR, etc.
Multi-modal Learning
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
林义杰Ph.D. 2020 to 2025
Postdoc, The Hong Kong University of Science and Technology (HKUST)
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 Learning
Learning with Noisy Correspondence
