A Unifying Tensor View for Lightweight CNNs. - Jason Chun Lok Li; Rui Lin; Jiajun Zhou; Edmund Yin Mun Lam; Ngai Wong 001 (ASICON, 2023)

PECAN: A Product-Quantized Content Addressable Memory Network. - Jie Ran; Rui Lin; Jason Chun Lok Li; Jiajun Zhou; Ngai Wong 001 (DATE, 2023)

Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. - Jason Chun Lok Li; Chang Liu 094; Binxiao Huang; Ngai Wong 001 (AAAI, 2024)

ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference. - Jason Chun Lok Li; Steven Tin Sui Luo; Le Xu; Ngai Wong 001 (ICLR, 2024)

Nonparametric Teaching of Implicit Neural Representations. - Chen Zhang; Steven Tin Sui Luo; Jason Chun Lok Li; Yik-Chung Wu; Ngai Wong 001 (ICML, 2024)

Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. - Binxiao Huang; Jason Chun Lok Li; Jie Ran; Boyu Li; Jiajun Zhou; Dahai Yu; Ngai Wong 001 (IJCAI, 2024)

Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. - Binxiao Huang; Jason Chun Lok Li; Chang Liu 094; Ngai Wong 001 (CoRR, 2024)

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-Vocabulary Scene Graph Generation with Enhanced Spatial Relations. - Mingjie Xu; Mengyang Wu; Yuzhi Zhao; Jason Chun Lok Li; Weifeng Ou (WACV, 2025)

Lite It Fly: An All-Deformable-Butterfly Network. - Rui Lin; Jason Chun Lok Li; Jiajun Zhou; Binxiao Huang; Jie Ran; Ngai Wong 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)