Personal Information

Senior Algorithm Engineer Tongyi AI Lab, Alibaba Group

Google Scholar | GitHub

Email: 1115977374@qq.com

Personal page: https://fyabc.github.io/

Building 2, No. 5 DanLing Street, Haidian District, Beijing, China.

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Bio

Yang Fan is a Senior Algorithm Engineer of DAMO Acadamy, Alibaba Group. He has a wide range of research interests in artificial intelligence, including large language models, deep learning, natural language processing, learning to teach, AI for medicine, etc.
You can refer to the personal page: https://fyabc.github.io/.

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Education

• Sep. 2017 - Jun. 2022: School of Computer Science and Technology, University of Science and Technology of China, Doctor of Philosophy (Ph.D.)

• Sep. 2013 - Jun. 2017: School of Computer Science and Technology, University of Science and Technology of China, Bachelor of Science (B.S.)

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Experiences

• Jul. 2022 - Now: Senior Algorithm Engineer, DAMO Academy, Alibaba Group.

• Jul. 2018 - Jun. 2022: Research Intern, Machine Learning Group, Microsoft Research Asia, Mentor: Prof. Tao Qin

• Jul. 2016 - Jun. 2017: Research Intern, Machine Learning Group, Microsoft Research Asia, Mentor: Prof. Tao Qin

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Research Interests

• Large Language Models (LLMs): Training, fine-tuning and data engineering of large language models.

• Learning to Teach: A general meta-learning framework to automatically guide the training of AI tasks with a teacher model.

• Neural Architecture Search: Automatically discover better architectures for AI tasks, especially for natural language processing tasks.

• Neural Machine Translation: Train a deep neural network to translate from on language to another. Focusing more on real-world tasks.

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Honors & Awards

• Jun. 2021, 6th place in the PCQM4M-LSC dataset prediction task
  In the first OGB Large-Scale Challenge (OGB-LSC)
  [Leaderboard]

• Aug. 2019, championship on 8 translation tasks
  In ACL 2019 fourth conference on machine translation (WMT19)
  [PDF] [News] [Leaderboard]

• 2020, Huawei Scholarship

• 2017, Bao Gang Education Scholarship

• 2015, National Scholarship for Encouragement

• 2014, Individual Scholarship

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Publications

1. Qwen Technical Report [PDF]
   Qwen Team

2. Qwen2 Technical Report [PDF]
   Qwen Team

3. Qwen2-VL: Enhancing Vision-Language Model’s Perception of the World at Any Resolution [PDF]
   Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin

4. Qwen2.5-Coder Technical Report [PDF]
   Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Keming Lu, Kai Dang, Yang Fan, Yichang Zhang, An Yang, Rui Men, Fei Huang, Bo Zheng, Yibo Miao, Shanghaoran Quan, Yunlong Feng, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin

5. Qwen2.5-Omni Technical Report [PDF]
   Jin Xu, Zhifang Guo, Jinzheng He, Hangrui Hu, Ting He, Shuai Bai, Keqin Chen, Jialin Wang, Yang Fan, Kai Dang, Bin Zhang, Xiong Wang, Yunfei Chu, Junyang Lin

6. Qwen3 Technical Report [PDF]
   Qwen Team

7. Learning to Reweight with Deep Interactions [PDF]
   Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
   The 35th AAAI Conference on Artificial Intelligence (AAAI-2021)

8. Searching Better Architectures for Neural Machine Translation [PDF]
   Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
   IEEE Transactions on Audio, Speech and Language Processing (TASLP), 18 May 2020, Volume 28, Pages 1574-1585

9. Learning to Teach [PDF]
   Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
   The Sixth International Conference on Learning Representations (ICLR-2018)

10. Multi-branch Attentive Transformer [PDF] [link]
    Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
    arXiv, 2020.

11. Back Translation for Molecule Generation [PDF] [link]
    Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
    Bioinformatics, 1 March 2022, Volume 38, Issue 5, Pages 1244-1251

12. Microsoft Research Asia’s Systems for WMT19 [PDF]
    Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, and Tie-Yan Liu
    The Fourth Conference on Machine Translation (WMT-2019)

13. Learning to Teach with Dynamic Loss Functions [PDF]
    Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu
    Proceedings of the Thirty-second International Conference on Neural Information Processing Systems (NIPS-2018)

14. Sequence Generation with Mixed Representations [PDF]
    Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu
    The Thirty-seventh International Conference on Machine Learning (ICML-2020)

15. End-to-end Entity-Aware Neural Machine Translation [PDF] [link]
    Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin
    Machine Learning 2022 (ML-2022)

16. Learning to Teach for Function Space
    Yang Fan, Fei Tian, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li
    

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Programming Skills

1. Programming Languages: Master user of Python, frequent user of C++ and LaTeX

2. Deep Learning Tools: Master user of PyTorch, frequent user of Tensorflow