Yulei Qin received his B.E. in Automation in 2016 from SouthEast University, Ph.D. in Traitement du Signal et de l’Image in 2021 from INSA de Lyon, and Ph.D. in Control Science and Engineering from Shanghai Jiao Tong University in 2022. He was a joint-doctoral student of the Institute of Image Processing and Pattern Recognition and the CREATIS. Since 2022, he has been at Tencent YouTu Lab where he is currently a senior researcher.

Research Interest

• Large Language Models
• Learning with Noisy Labels
• Medical Image Analysis

News

• 06/2025: Our paper on 🤔Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models is online!
• 02/2025: One paper on dataset distillation via optimal transport is accepted by CVPR 2025 (Highlight).
• 02/2025: Our report about the reproduction of open-source projects on DeepSeek R1 training is available at 1 and 2. Thanks for the open-source community.
• 01/2025: I am invited to serve as an area chair for MICCAI 2025.
• 01/2025: Our survey on data assessment and selection for instruction tuning is accepted to TMLR with a survey certificate.
• 12/2024: One paper on Cross-Tokenizer Distillation on Large Language Models is accepted by AAAI 2025 (Oral).
• 11/2024: One paper on Sinkhorn Distillation is accepted by IEEE TNNLS as an extension to our COLING conference paper.
• 08/2024: Our latest survey on 🌊Data Assessment and Selection for Instruction Tuning of Large Language Models is online!
• 07/2024: Checkout our reading list for Fantastic Data Engineering for Large Language Models.
• 06/2024: I will be serving as a reviewer for EMNLP 2024.
• 02/2024: One paper on sinkhorn distillation of large language models (LLMs) is accepted by COLING 2024.
• 11/2023: I will be serving as a reviewer for CVPR 2024.
• 10/2023: I will be serving as a reviewer for IPCAI 2024.
• 10/2023: I receive the certificate of distinction as an IEEE TMI distinguished reviewer (2nd time).
• 09/2023: One paper on webly supervised learning (WSL) is accepted by NeurIPS 2023.