Jiefeng Peng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Neural Architecture

Internal Representations

Top Venues

Publications

Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR (2024)
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV (2021)
Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR (2021)
Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR (2021)
Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. EMNLP (Findings) (2021)
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR (2021)
Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME (2021)
Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV (2021)
Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR (2020)
Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR (2019)
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS (2018)
Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin
Attentive Crowd Flow Machines. CoRR (2018)
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR (2018)
Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin
Learning deep representations for semantic image parsing: a comprehensive overview. Frontiers Comput. Sci. 12 (5) (2018)
Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin
Attentive Crowd Flow Machines. ACM Multimedia (2018)
Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview. CoRR (2018)