Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. - Si Wu 002; Sihao Lin; Wenhao Wu; Mohamed Azzam; Hau-San Wong (ICCV, 2019)

Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. - Si Wu 002; Wenhao Wu; Shiyao Lei; Sihao Lin; Rui Li 045; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Image Process., 2020)

Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. - Li Liu 031; Qingle Huang; Sihao Lin; Hongwei Xie; Bing Wang 013; Xiaojun Chang; Xiaodan Liang (ICCV, 2021)

Knowledge Distillation via the Target-aware Transformer. - Sihao Lin; Hongwei Xie; Bing Wang 013; Kaicheng Yu; Xiaojun Chang; Xiaodan Liang; Gang Wang (CVPR, 2022)

Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. - Li Liu 031; Qingle Huang; Sihao Lin; Hongwei Xie; Bing Wang 013; Xiaojun Chang; Xiaodan Liang (CoRR, 2022)

Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. - Sihao Lin; Wenhao Wu; Si Wu 002; Yong Xu 007; Hau-San Wong (IEEE Trans. Multim., 2022)

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. - Zhijian Huang; Sihao Lin; Guiyu Liu; Mukun Luo; Chaoqiang Ye; Hang Xu 004; Xiaojun Chang; Xiaodan Liang (ICCV, 2023)

MLP Can Be a Good Transformer Learner. - Sihao Lin; Pumeng Lyu; Dongrui Liu; Tao Tang; Xiaodan Liang; Andy Song; Xiaojun Chang (CVPR, 2024)

Making Large Language Models Better Planners with Reasoning-Decision Alignment. - Zhijian Huang; Tao Tang; Shaoxiang Chen 001; Sihao Lin; Zequn Jie; Lin Ma 002; Guangrun Wang; Xiaodan Liang (ECCV (36), 2024)

Self-Supervised Multi-Frame Neural Scene Flow. - Dongrui Liu; Daqi Liu; Xueqian Li; Sihao Lin; Hongwei Xie; Bing Wang 013; Xiaojun Chang; Lei Chu (CoRR, 2024)

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning. - Changlin Li; Jiawei Zhang; Sihao Lin; Zongxin Yang; Junwei Liang 001; Xiaodan Liang; Xiaojun Chang (CoRR, 2024)

Context Matters: Distilling Knowledge Graph for Enhanced Object Detection. - Aijia Yang; Sihao Lin; Chung-Hsing Yeh; Minglei Shu; Yi Yang 001; Xiaojun Chang (IEEE Trans. Multim., 2024)

TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba. - Xiuwei Chen; Sihao Lin; Xiao Dong; Zisheng Chen; Meng Cao; Jianhua Han; Hang Xu 004; Xiaodan Liang (CoRR, 2025)

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation. - Sihao Lin; Daqi Liu; Ruochong Fu; Dongrui Liu; Andy Song; Hongwei Xie; Zhihui Li 001; Bing Wang 013; Xiaojun Chang (CoRR, 2025)

BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search. - Changlin Li; Sihao Lin; Tang Tao; Guangrun Wang; Mingjie Li 006; Xiaodan Liang; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)