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Jiefeng Peng
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2020 – today
- 2024
- [j2]Guangrun Wang
, Changlin Li
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2722-2740 (2024) - [i8]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 abs/2403.01326 (2024) - 2021
- [c7]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: 1424-1437 - [c6]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: 12261-12271 - [c5]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: 12334-12344 - [c4]Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin:
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME 2021: 1-6 - [i7]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 abs/2103.12424 (2021) - [i6]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 abs/2108.09671 (2021) - [i5]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR abs/2109.07222 (2021) - 2020
- [c3]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: 1986-1995
2010 – 2019
- 2019
- [i4]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - 2018
- [j1]Lili Huang, Jiefeng Peng, Ruimao Zhang
Learning deep representations for semantic image parsing: a comprehensive overview. Frontiers Comput. Sci. 12(5): 840-857 (2018) - [c2]Lingbo Liu, Ruimao Zhang
Attentive Crowd Flow Machines. ACM Multimedia 2018: 1553-1561 - [c1]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS 2018: 21-31 - [i3]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR abs/1802.03133 (2018) - [i2]Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin:
Attentive Crowd Flow Machines. CoRR abs/1809.00101 (2018) - [i1]Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin:
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview. CoRR abs/1810.04377 (2018)
Coauthor Index
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