Jiefeng Peng

According to our database, Jiefeng Peng authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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., May, 2024

2021

Unifying Dynamic Optimizer Search and Network Architecture Search.

Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search.

Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation.

Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

CoRR, 2019

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

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

CoRR, 2018

Kalman Normalization: Normalizing Internal Representations Across Network Layers.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Attentive Crowd Flow Machines.

Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018