I am an associate researcher with the Image & Video Analysis group (IVA) at Institute of Automation, Chinese Academy of Sciences. I received my PhD degree in Computer Application Technology from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, under the supervision of Prof. Jian Cheng, in 2018. My research interests include large-scale multi-model pretraining, efficient neural network computing, distributed optimization, etc. I have published papers on IEEE T-PAMI, T-NNLS, ICML, CVPR, ICCV, etc. I won the Nvidia scholarship in 2018, the first prize of MicroNet Challenge in NeurIPS 2019, been elected for the 2021 StarTrack Program of Microsoft Research Asia.

If you are interested in my work, feel free to contact me peisong.wang@nlpr.ia.ac.cn

Selected Publications

	Optimization-based Post-training Quantization with Bit-split and Stitching Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 Paper Code
	Towards Accurate Binarized Neural Networks with Sparsity for Mobile Application Peisong Wang*, Xiangyu He*, Jian Cheng IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022 Paper
	Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification Peisong Wang*, Fanrong Li*, Gang Li, Jian Cheng IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021 Paper
	Unsupervised Network Quantization via Fixed-point Factorization Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Paper
	DeepSearch: A fast image search framework for mobile devices Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMCCAP), 2018 Paper
	Towards Accurate Post-training Network Quantization via Bit-Split and Stitching Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng International Conference on Machine Learning (ICML), 2020 Paper Code
	Sparsity-Inducing Binarized Neural Networks Peisong Wang*, Xiangyu He*, Gang Li, Tianli Zhao, Jian Cheng AAAI Conference on Artificial Intelligence (AAAI), 2020 Paper
	Two-Step Quantization for Low-bit Neural Networks Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 Paper Code
	Fixed-point Factorized Networks Peisong Wang, Jian Cheng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Paper
	Accelerating Convolutional Neural Networks for Mobile Applications Peisong Wang, Jian Cheng ACM international conference on Multimedia (ACM MM), 2016 Paper