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Temporal RoI Align for Video Object Recognition


Sep 11, 2021
Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

* Accpeted by AAAI 2021 

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Group Fisher Pruning for Practical Network Compression


Aug 02, 2021
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

* ICML2021; Code: https://github.com/jshilong/FisherPruning 

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WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection


May 21, 2021
Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang


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Understanding the wiring evolution in differentiable neural architecture search


Sep 07, 2020
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin


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Scale-Equalizing Pyramid Convolution for Object Detection


May 06, 2020
Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang

* Accepted by CVPR2020 

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AdaX: Adaptive Gradient Descent with Exponential Long Term Memory


May 04, 2020
Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo


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Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning


Apr 24, 2020
Zhongzhan Huang, Xinjiang Wang, Ping Luo


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How Does BN Increase Collapsed Neural Network Filters?


Jan 31, 2020
Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang


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Towards Understanding Regularization in Batch Normalization


Sep 30, 2018
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng

* Preprint. Work in progress. 17 pages 

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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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