李 耀 辉

李 耀 辉 Li Yao Hui

Phd in Computer Science

Nanjing University

Biography

I am a Phd candidate supervised by Assoc. Prof. Jianbing Zhang and Prof. Xinyu Dai at School of Artifical Intelligence in Nanjing University, which is led by Prof. Zhihua Zhou. Besides, I am also a member of NJUNLP group, which is led by Prof. Jiajun Chen. I received my M.Eng. and B.Eng. degree from Nanjing University in 2023 and 2020 respectively, supervised by Prof. Huaxiong Li. Since September 2023, I have been visiting Institute for AI Industry Research (AIR), Tsinghua University, supervised by Yawen Ouyang and Assoc. Prof. Hao Zhou.

Interests
  • Efficient Learning
  • AI for Science
  • Multimodal Learning
Education
  • PhD in Computer Science, 2023-2027

    Nanjing University

  • MEng in Control Science, 2020-2023

    Nanjing University

  • BSc in Control Science, 2016-2020

    Nanjing University

Experience

 
 
 
 
 
Institute for AI Industry Research, Tsinghua University
Joint Research Student
October 2023 – Present Beijing, China
Interested in AI-driven Material Property Prediction and Inverse Design
 
 
 
 
 
School of Artificial Intelligence, Nanjing University
Phd in Computer Science
September 2023 – Present Nanjing, China
Interested in Efficient Learning, AI for Science and Multimodal Learning
 
 
 
 
 
OPPO Research Institute of Shanghai
Research Intern
June 2021 – July 2022 Shanghai, China
Interested in Few-Shot Learning and Affective Computing
 
 
 
 
 
Nanjing University
M.Eng. in Control Science
September 2020 – June 2023 Nanjing, China
Interested in Few-Shot Learning, Affective Computing and Computer Vision
 
 
 
 
 
Nanjing University
B.Eng. in Control Science
September 2016 – June 2020 Nanjing, China
Interested in Robots and UAVs

Accomplishments

 
 
 
 
 
Academic News
January 2022 – Present
  [2023.12] One paper on "Image composition" is accepted to ICASSP 2023 (CCF-B)
  [2023.09] One paper on "Visual text editing” is accepted to NeurIPS 2023 (CCF-A)
  [2023.07] One paper on "Image composition” is accepted to ACM Multimedia 2023 (CCF-A) as oral
  [2023.01] One paper on "Few-shot learning” is accepted to SCIS 2023 (CCF-A)
  [2022.07] One paper on "Affective computing” is accepted to ACM Multimedia 2022 (CCF-A)
 
 
 
 
 
Academic Awards
September 2016 – Present
  🔘 Outstanding Graduates, Nanjing University, 2023
  🔘 National Scholarship, highest Scholarship in China, Ministry of Education, 2022
  🔘 Outstanding Graduate Student, Nanjing University, 2021
  🔘 Industrial Bank Scholarship, Jiangsu Province, 2021
  🔘 1st Prize, Academic Scholarship, Nanjing University, 2020 & 2022
  🔘 National Grand Prize, Educational Robot Competition Of China (ERCC), 2018

Selected Publications

(2023). DiffUTE: Universal Text Editing Diffusion Model. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS).

Cite

(2023). Hierarchical dynamic image harmonization. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM).

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(2023). Sparse spatial transformers for few-shot learning. Science China Information Sciences.

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(2022). Transductive aesthetic preference propagation for personalized image aesthetics assessment. Proceedings of the 30th ACM International Conference on Multimedia (ACM MM).

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Projects

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Example Project
An example of using the in-built project page.
Example Project

Gallery

Contact

Feel free to contact me!