Attentive Crowd Flow Machines. - Lingbo Liu; Ruimao Zhang; Jiefeng Peng; Guanbin Li; Bowen Du 001; Liang Lin (ACM Multimedia, 2018)

Kalman Normalization: Normalizing Internal Representations Across Network Layers. - Guangrun Wang; Jiefeng Peng; Ping Luo 002; Xinjiang Wang; Liang Lin (NeurIPS, 2018)

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. - Guangrun Wang; Jiefeng Peng; Ping Luo 002; Xinjiang Wang; Liang Lin (CoRR, 2018)

Learning deep representations for semantic image parsing: a comprehensive overview. - Lili Huang; Jiefeng Peng; Ruimao Zhang; Guanbin Li; Liang Lin (Frontiers Comput. Sci., 2018)

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. - Changlin Li; Jiefeng Peng; Liuchun Yuan; Guangrun Wang; Xiaodan Liang; Liang Lin; Xiaojun Chang (CoRR, 2019)

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. - Changlin Li; Jiefeng Peng; Liuchun Yuan; Guangrun Wang; Xiaodan Liang; Liang Lin; Xiaojun Chang (CVPR, 2020)

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. - Chenhe Dong; Guangrun Wang; Hang Xu 004; Jiefeng Peng; Xiaozhe Ren; Xiaodan Liang (EMNLP (Findings), 2021)

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. - Changlin Li; Tao Tang; Guangrun Wang; Jiefeng Peng; Bing Wang 013; Xiaodan Liang; Xiaojun Chang (ICCV, 2021)

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. - Jiefeng Peng; Jiqi Zhang; Changlin Li; Guangrun Wang; Xiaodan Liang; Liang Lin (ICCV, 2021)

Unifying Dynamic Optimizer Search and Network Architecture Search. - Binbin Yang; Xiaodan Liang; Junhao Zhong; Jiefeng Peng; Guangrun Wang; Liang Lin (ICME, 2021)

DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. - Guangrun Wang; Changlin Li; Liuchun Yuan; Jiefeng Peng; Xiaoyu Xian; Xiaodan Liang; Xiaojun Chang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2024)