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Lingao XIAO 肖凌奥
pronounced as " ling-ow SHEE-yow" As a first-year MPhil student 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 2026 intake. |
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Publications & Preprints |
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Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images
Lingao Xiao, arXiv 2025 paper / code / assets |
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Training-Free Dataset Pruning for Instance Segmentation
ICLR 2025 paper / code |
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Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao, NeurIPS 2024 paper / code / assets |
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Multisize dataset condensation
ICLR 2024 (Oral, 1.2%) paper / code |
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You Only Condense Once: Two Rules for Pruning Condensed Datasets
NeurIPS 2023 paper / code |
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Structured pruning for deep convolutional neural networks: A survey
IEEE TPMAI 2023 paper / github / leaderboard |
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Education |
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Experiences |
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AcknowledgementsDuring 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. |
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Website source from Jon Barron, inspired by George Cazenavette and Xindi (Cindy) Wu |