XLearning

Faculty

Xi Peng

Xi Peng

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 LearningComputer VisionMulti-modal AnalysisNatural Language Processing
Peng Hu

Peng Hu

Associate 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

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

Ph.D.

Research Interests

Image Restoration and Translation
Yunfan Li

Yunfan Li

Ph.D.

Research Interests

Unsupervised LearningAI4Science
Mouxing Yang

Mouxing Yang

Ph.D.
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 modalties and noisy correspondence.

Research Interests

Multi-modal LearningLearning with Noisy Correspondence

Current Students

Yijie Lin
Yijie Lin
Ph.D. · 2020
Multi-modal LearningLearning with Noisy Correspondence
Haiyu Zhao
Haiyu Zhao
Ph.D. · 2022
Image Restoration and Translation
Haobin Li
Haobin Li
Ph.D. · 2022
Multi-modal Learning
Yiding Lu
Yiding Lu
Ph.D. · 2022
Multi-modal Learning
Ruiming Guo
Ruiming Guo
MSc · 2023
Multi-modal Learning
Honglin Liu
Honglin Liu
Ph.D. · 2023
Multi-modal Learning
Ruohong Yang
Ruohong Yang
Ph.D. · 2024
Unsupervised Learning
Guofeng Ding
Guofeng Ding
Ph.D. · 2024
Multi-modal Learning
Kai Guo
Kai Guo
MSc · 2024
Multi-modal Learning

Alumni

Zhenyu Huang
Zhenyu Huang
Ph.D. · 2018 → 2023/12
ANT Group, ANT Star SSP
Multi-modal Learning
Boyun Li
Boyun Li
Ph.D. · 2019 → 2025/06
Postdoc, University of Macau
Image Restoration and Translation
Xinran Ma
Xinran Ma
MSc · 2022 → 2025/06
Multi-modal Learning
Wenxin Wang
Wenxin Wang
MSc · 2022 → 2025/06
Image Restoration and Translation

To Potential Colleagues and Students

如果您有兴趣到四川大学计算机学院(软件学院)攻读学位,并愿意选择我作为您的导师,和我一起从事研究工作,请耐心阅读以下注意事项:

  1. 联系我前,请务必查看我的个人主页或学院主页,且确信您对我的研究方向感兴趣。
  2. 课题组提供舒适的科研环境,每周设有固定的体育活动日(如羽毛球)。我们为每位学生提供一对一的科研指导,并乐于资助学生参与国内外学术交流。
  3. 请将简历(PDF 格式)发送到我的邮箱 pengx.gm [at] gmail.com 。邮件标题格式建议如下:姓名-目前在读学校-博士申请(或硕士申请)。
  4. 我主要关注学生编程、数学及英语(特别是写作和阅读)三方面的能力。
  5. 我一般会 1–3 天内回复邮件,如我觉得您合适且我还有招生名额,需进行如下测试:
    1. 在线代码能力测试(1 天):主要考察代码逻辑、思路清晰度等。如若系统判定未通过,也请邮件回复并附上解题思路。
    2. 面谈:远程或当面均可,请准备您关心的任意问题进行双方交流,不做限制。希望我们在做任何确定前能不做保留的相互了解。
  6. 若申请博士,还需额外完成:
    1. 基础科研能力测试(5–7 天):主要考察英语论文阅读、报告写作、资料查找、数学理解归纳能力,和对科研的洞察力。
  7. 如果您有意申请博士,越早联系越好。
  8. 如果您认识我的亲友或同事,建议您不要通过他们与我联系,最好的方式是直接与我本人联系。