Publications

2022

Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, & Jian Cheng. Optimization-based Post-training Quantization with Bit-split and Stitching. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

Peisong Wang*, Xiangyu He*, & Jian Cheng. Towards Accurate Binarized Neural Networks with Sparsity for Mobile Application. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

Weixiang Xu*, Fanrong Li*, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, & Jian Cheng. Improving Extreme Low-bit Quantization with Soft Threshold. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.

Anda Cheng, Peisong Wang, Xi Sheryl Zhang, & Jian Cheng. Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR, 2022.

Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, & Jian Cheng. Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI, 2022.

Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, & Jian Cheng. Dpnas: Neural architecture search for deep learning with differential privacy. AAAI, 2022.

2021

Peisong Wang*, Fanrong Li*, Gang Li, & Jian Cheng. Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

Weihan Chen, Peisong Wang, & Jian Cheng. Towards mixed-precision quantization of neural networks via constrained optimization. ICCV, 2021.

Zili Liu, Peisong Wang, Zaixing Li. More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering. ICME, 2021.

2020

Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, & Jian Cheng. Unsupervised Network Quantization via Fixed-point Factorization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.

Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, & Jian Cheng. Spatialflow: Bridging all tasks for panoptic segmentation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.

Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, & Jian Cheng. Robust one-stage object detection with location-aware classifiers. Pattern Recognition (PR), 2020.

Peisong Wang, Qiang Chen, Xiangyu He, & Jian Cheng. Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. ICML, 2020.

Peisong Wang*, Xiangyu He*, Gang Li, Tianli Zhao, & Jian Cheng. Sparsity-Inducing Binarized Neural Networks. AAAI, 2020.

Gang Li, Peisong Wang, Zejian Liu, Cong Leng, & Jian Cheng. Hardware acceleration of CNN with one-hot quantization of weights and activations. DATE, 2020.

Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, & Jian Cheng. Soft Threshold Ternary Networks. IJCAI, 2020.

Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, & Jian Cheng. Proxybnn: Learning binarized neural networks via proxy matrices. ECCV, 2020.

Weihan Chen, Peisong Wang, & Jian Cheng. Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. BMVC, 2020.

2019 and before

Xiangyu He, Peisong Wang, & Jian Cheng. K-nearest neighbors hashing. CVPR, 2019.

Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, & Jian Cheng. Ode-inspired network design for single image super-resolution. CVPR, 2019.

Zhe Li, Peisong Wang, Hanqing Lu, & Jian Cheng. Reading selectively via Binary Input Gated Recurrent Unit. IJCAI, 2019.

Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, & Jian Cheng. DeepSearch: A fast image search framework for mobile devices. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2018.

Jian Cheng, Peisong Wang, Gang Li, Qing-hao Hu, & Hanqing Lu. Recent advances in efficient computation of deep convolutional neural networks. Frontiers of Information Technology & Electronic Engineering (FITEE), 2018.

Peisong Wang, Qinghao Hu, Yifang Zhang, Chunjie Zhang, Yang Liu, & Jian Cheng. Two-Step Quantization for Low-bit Neural Networks. CVPR, 2018.

Qinghao Hu, Peisong Wang, & Jian Cheng. From hashing to cnns: Training binary weight networks via hashing. AAAI, 2018.

Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, & Jian Cheng. Training binary weight networks via semi-binary decomposition. ECCV, 2018.

Guibo Zhu, Jinqiao Wang, Peisong Wang, Yi Wu, & Hanqing Lu. Feature distilled tracking. IEEE transactions on cybernetics, 2017.

Peisong Wang, & Jian Cheng. Fixed-point Factorized Networks. CVPR, 2017.

Peisong Wang, Qiang Song, Hua Han, & Jian Cheng. Sequentially supervised long short-term memory for gesture recognition. Cognitive Computation, 2016.

Peisong Wang, & Jian Cheng. Accelerating Convolutional Neural Networks for Mobile Applications. ACM Multimedia, 2016.