Lingao XIAO 肖凌奥

pronounced as " ling-ow SHEE-yow"

As a second-year Master student (by Research) at the National University of Singapore (NUS), I have the privilege of being co-advised by Dr. Yang He (Research Scientist @ CFAR, A*STAR), and Prof. Xinchao Wang (Presidential Young Professor @ xML Lab, NUS). I obtained my Bachelor degree in Computer Engineering from Nanyang Technological University (NTU), Singapore.

My research interests focus on Efficient Deep Learning and Data-Centric AI. I am actively seeking PhD opportunities for the January/August 2027 intake.

Email  /  CV (Comming)  /  Scholar  /  Github

profile photo

Selected Publications
Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression
Lingao Xiao, , ,
ICML 2026
paper / code / assets
Soft Label Pruning and Quantization for Large-Scale Dataset Distillation
Lingao Xiao,
IEEE TPAMI 2026
paper
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao,
NeurIPS 2024
paper / code / assets
Multisize dataset condensation
, Lingao Xiao, ,
ICLR 2024 (Oral, 1.2%)
paper / code
You Only Condense Once: Two Rules for Pruning Condensed Datasets
, Lingao Xiao,
NeurIPS 2023
paper / code
Structured pruning for deep convolutional neural networks: A survey
, Lingao Xiao
IEEE TPMAI 2023
paper / github / leaderboard

Education
National University of Singapore, Singapore
M.Eng. (by Research) in Electrical and Computer Engineering
Aug. 2024 — Jul. 2026 (expected)
Advisors: Dr. , Prof.
Nanyang Technological University, Singapore
B.Eng. in Computer Engineering
Aug. 2020 — Jul. 2024
Advisor: Dr. (CFAR, A*STAR)

Experiences
Microsoft Research Asia (MSRA), Beijing, China
Research Intern, Engineering and Foundation Group
Apr. 2026 — Present
Advisor: Yangyu Huang
Centre for Frontier AI Research (CFAR), A*STAR, Singapore
Research Intern
Jun. 2022 — Present ()
Advisor: Dr.
PI: Prof.
xML Lab @ ECE, CDE, NUS, Singapore
Research Student
Aug. 2024 — Present
Advisor & PI: Prof.
ATEE-Plan Research Program, Beijing, China
Summer Research Program
Jul. 2019 — Aug. 2019
Advisor: Prof. Francis Steen

Acknowledgements

During my undergraduate studies at Nanyang Technological University, I had the privilege of being supervised by Prof. Hanwang Zhang for my professional internship and Prof. Weichen Liu for my final year project. I am profoundly grateful for their guidance. Additionally, I extend my heartfelt thanks to my family and friends for their unwavering support.


Website source from Jon Barron, inspired by George Cazenavette and Xindi (Cindy) Wu