Weisen JIANG

English | 中文

PhD Student
waysonkong@gmail.com
Department of Computer Science and Engineering
Hong Kong University of Science and Technology (HKUST)

Research Interest: meta learning, bilevel optimization, prompt learning, multi-task learning.

Education

• South China University of Technology, Bachelor of Engineering. 2008 - 2012.

• University of Chinese Academy of Sciences, Master of Science (advisor: Prof. Hai-Tao Fang). 2012 - 2015.

• Hong Kong University of Science and Technology, PhD Student (advisors: Prof. James Kwok and Prof. Yu Zhang). 2020 - now.

Work

• Meituan, Engineer (Recommendation Systems). 2015 - 2017.

• Tencent, Senior Engineer (Recommendation Systems). 2017 - 2019.

Awards

1. National Scholarship (TOP 2%), twice. Ministry of Education of the People's Republic of China.

2. Outstanding Staff with 5 stars (TOP 10%), twice. Tencent.

Publications

1. W. Jiang, H. Fang. Identification for wiener system with discontinuous piece-wise linear function via sparse optimization. Chinese Control Conference (CCC), 2014. PDF

2. W. Jiang, H. Fang. Identification of switched linear systems via sparse optimization. IFAC Symposium on System Identification, 2015. PDF

3. W. Jiang, Y. Zhang, J. Kwok. SEEN: Few-shot classification with SElf-ENsemble. International Joint Conference on Neural Networks (IJCNN), 2021. PDF

4. W. Jiang, J. Kwok, Y. Zhang. Effective meta-regularization by kernelized proximal regularization. Neural Information Processing Systems (NeurIPS), December 2021. PDF | Code

5. W. Jiang, J. Kwok, Y. Zhang. Subspace learning for effective meta-learning. International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 2022. PDF | Code

6. W. Jiang, H. Yang, Y. Zhang, J. Kwok. An adaptive policy to employ sharpness-aware minimization. International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023. PDF | Code

7. W. Jiang, Y. Zhang, J. Kwok. Effective structured prompting by meta-learning and representative verbalizer. International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 2023. PDF | Code

Patents

1. W. Jiang, D. Wu, T. Qiu. Recommendation method, device, equipment, and storage medium. Tencent. PDF

2. W. Jiang, S. Luo, D. Wu, T. Qiu. Systems for personalizing page layout. Tencent. PDF

Teaching

1. COMP 2012(Object-oriented programming and data structures), Teaching assistant. HKUST.

2. COMP 4331(Data mining), Teaching assistant. HKUST.

Software

1. W. Jiang (with team). Meituan. Recommendation systems for booking hotels.

2. W. Jiang, J. Wang. Meituan. Hotel anti-cheat systems.

3. W. Jiang, S. Luo. Tencent. Teppelin platform for data mining.

4. W. Jiang (with team). Tencent. Recommendation systems.