Lingao Xiao
Scholar

Lingao Xiao

Google Scholar ID: MlNI5YYAAAAJ
National University of Singapore
Efficient Deep Learning
Citations & Impact
All-time
Citations
397
 
H-index
4
 
i10-index
4
 
Publications
6
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • 1. Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images - Lingao Xiao, Songhua Liu, Yang He, Xinchao Wang - arXiv 2025
  • 2. Training-Free Dataset Pruning for Instance Segmentation - Yalun Dai, Lingao Xiao, Ivor W Tsang, Yang He - ICLR 2025
  • 3. Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? - Lingao Xiao, Yang He - NeurIPS 2024
  • 4. Multisize dataset condensation - Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor W Tsang - ICLR 2024 (Oral, 1.2%)
  • 5. You Only Condense Once: Two Rules for Pruning Condensed Datasets - Yang He, Lingao Xiao, Joey Tianyi Zhou - NeurIPS 2023
  • 6. Structured pruning for deep convolutional neural networks: A survey - Yang He, Lingao Xiao - IEEE TPMAI 2023
Research Experience
  • 1. Centre for Frontier AI Research (CFAR), A*STAR, Singapore - Research Intern - Jun. 2022 to Now, Advisor: Dr. Yang He, PI: Prof. Joey Tianyi Zhou
  • 2. xML Lab @ ECE, CDE, NUS, Singapore - Research Student, Aug. 2024 to Now, Advisor & PI: Prof. Xinchao Wang
  • 3. ATEE-Plan Research Program, Beijing, China - Summer Research Program, Jul. 2019 to Aug. 2019, Advisor: Prof. Francis Steen
Education
  • 1. National University of Singapore, MPhil in Electrical Engineering - Aug. 2024 to Now, Advisors: Dr. Yang He, Prof. Xinchao Wang
  • 2. Nanyang Technological University, B.Eng. in Computer Engineering - 2020 to 2024, Advisor: Dr. Yang He (CFAR, A*STAR)
Background
  • Research interests: Efficient Deep Learning and Data-Centric AI. Currently a first-year MPhil student at the National University of Singapore, co-advised by Dr. Yang He and Prof. Xinchao Wang.
Miscellany
  • During undergraduate studies at Nanyang Technological University, supervised by Prof. Hanwang Zhang for professional internship and Prof. Weichen Liu for final year project. Grateful for the guidance and support from family and friends.