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


Sep 16, 2021
Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang

* Findings of EMNLP 2021 

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Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift


Aug 22, 2021
Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin

* Accepted to ICCV 2021 

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


Mar 24, 2021
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

* Our searched hybrid CNN-transformer models achieve up to 82.2% accuracy on ImageNet, surpassing EfficientNet by 2.1% with comparable compute time 

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Blockwisely Supervised Neural Architecture Search with Knowledge Distillation


Nov 29, 2019
Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

* We achieve a state-of-the-art 78.4% top-1 accuracy on ImageNet in a mobile setting, which is about a 2.1% gain over EfficientNet-B0 

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Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview


Oct 10, 2018
Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin


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Attentive Crowd Flow Machines


Sep 01, 2018
Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin

* ACM MM, full paper 

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


Feb 28, 2018
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

* We presented how to improve and accelerate the training of DNNs, particularly under the context of micro-batches. (Submitted to IJCAI 2018) 

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