Welcome to XLearning Lab
XLearning Lab is affiliated with the School of Computer Science at Sichuan University and the National Key Laboratory for Fundamental Algorithms and Models for Engineering Simulation. Situated on the historic Wangjiang Campus, the lab was founded and is currently led by Prof. Xi Peng.
The name XLearning stands for "Learning for X and Learning with X." While the former reflects our commitment to interdisciplinary research, the latter highlights the innate curiosity of the XLearning community. Currently, our research focuses on unsupervised/self-supervised learning, multi-modal learning, AI4LifeScience, and Physical AI.
Recent Works
CVPR
Bootstrapping Multi-view Learning for Test-time Noisy Correspondence
Changhao He, Di Xue, Shuxian Li, Yanji Hao, Xi Peng, Peng Hu
CVPR
Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising
Yiwen Shan, Haiyu Zhao, Peng Hu, Xi Peng, Yuanbiao Gou
ICLR (Oral, acc rate=1.18%)
Uncover Underlying Correspondence for Robust Multi-view Clustering
Haochen Zhou, Guofeng Ding, Mouxing Yang, Peng Hu, Yijie Lin, Xi Peng
View PaperICLR (Oral, acc rate=1.18%)
Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang, Xi Peng
View PaperTPAMI
Community-aware Multi-view Representation Learning with Incomplete Information
Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang, Xi Peng
View PaperAAAI (Oral)
Robust Semi-paired Multimodal Learning for Cross-modal Retrieval
Yang Qin, Yuan Sun, Xi Peng, Dezhong Peng, Joey Tianyi Zhou, Xiaomin Song, Peng Hu
View Paper