Jiefeng Peng - RankMe

17 papers A* 5A 1Journal 10Unranked 1

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