About me

I’m now a Senior Research Engineer at Agency for Science, Technology and Research (A*STAR), Singapore. I’m also currently a part-time PhD candidate at Nanyang Technological University(NTU), Singapore(南洋理工大学), under the supervision of Prof. Weisi Lin(林维斯) in Media and Interactive Computing Lab (MICL). Prior to that, I received my master’s degree in National University of Singapore (NUS)(新加坡国立大学) and bachelor’s degree in Sun-yat-sen University,(SYSU), China(中山大学).

My current research focus lies on Neural Network Compression (Pruning, quantizaiton, etc.) Efficient deep learning, computer vision, etc. I have published many papers in top venues such as ECCV, ICCV, CVPR, TNNLS.

🔥 News

• 03/25, I was awarded with A*STAR Sponsorship Awards!
• 12/2024, I gave a talk in the 2024 International Research Forum of AI+ at Peng Cheng Laboratory (PCL), Shenzhen.
• 09/2024, Codes for our ECCV 2024 paper released!
• 07/2024, 1 paper accepted by ECCV 2024!
• 10/2023, Codes for our ICCV’23 paper is finally released on GitHub!!
• 10/2023, We ranked 26 in “AI+ visual feature coding (AI+视觉特征编码)” Competition in Datafountain.
• 10/2023, 1 paper accepted by ICCV 2023!
• 07/2023, 1 paper accepted by ICIP 2023!

📝 Publications

ECCV 2024

LPViT: Low-Power Semi-structured Pruning for Vision Transformers [Paper] [Code]
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

ICCV 2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks [Paper] [Code]
Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin

ICIP 2023

MetaGrad: Adaptive Gradient Quantization with Hypernetworks [Paper]
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin

ICIP 2022

Object-Aware Self-Supervised Multi-Label Learning [Paper] [Code]
Xu Kaixin, Liu Liyang, Zhao Ziyuan, Zeng Zeng, Bharadwaj Veeravalli

EMBC 20219

Multi-instance multi-label learning for gene mutation prediction in hepatocellular carcinoma [Paper]
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow

Invited Talks

• 12/2024, “Towards Accurate and Efficient Visual Model Pruning”, 2024 International Research Forum of AI+, invited talk by Dr. Chen Zhuo.

🏫 Educations

• 01/2023, started first-year part-time Ph.D. at NTU
• 07/2020, obtained Master of Technology (M.Tech) degree from ISS, NUS, Singapore
• 07/2019, obtained Bachelor of Engineering degree from SYSU, China

Honors and Awards

• 2025
  • A*Star Scholarship Award.
• 2017, 2018
  • Scholarship Award at SEIT School, Sun-yat-sen University.

👔 Work Experiences

• 04/2023, promoted as Senior Research Engineer
• 08/2020, joined I2R, A*STAR as a full-time Research Engineer
• 02/2020, started student attachment in I2R, A*STAR