Peisong Wang

According to our database1, Peisong Wang authored at least 47 papers between 2016 and 2024.

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Bibliography

2024
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs.
CoRR, 2024

2023
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Towards Automatic Model Compression via a Unified Two-Stage Framework.
Pattern Recognit., August, 2023

Improving Extreme Low-Bit Quantization With Soft Threshold.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

Optimization-Based Post-Training Quantization With Bit-Split and Stitching.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

A Survey of Graph Meets Large Language Model: Progress and Future Directions.
CoRR, 2023

Towards Efficient and Accurate Winograd Convolution via Full Quantization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Q-ViT: Fully Differentiable Quantization for Vision Transformer.
CoRR, 2022

CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

RISPNet: A Network for Reversed Image Signal Processing.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022


Differentially Private Federated Learning with Local Regularization and Sparsification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Fully Sparse Training: Information Restoration with Spatial Similarity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Unsupervised Network Quantization via Fixed-Point Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2021

SpatialFlow: Bridging All Tasks for Panoptic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Analyses and Optimization of Electrostatic Film Actuators Considering Electrical Breakdown.
IEEE Robotics Autom. Lett., 2021

Improving Binary Neural Networks through Fully Utilizing Latent Weights.
CoRR, 2021

Generative Zero-shot Network Quantization.
CoRR, 2021

More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Towards Binarized MobileNet via Structured Sparsity.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Zero-Shot Network Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Fuzzy Removing Redundancy Restricted Boltzmann Machine: Improving Learning Speed and Classification Accuracy.
IEEE Trans. Fuzzy Syst., 2020

Robust one-stage object detection with location-aware classifiers.
Pattern Recognit., 2020

Soft Threshold Ternary Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Accurate Post-training Network Quantization via Bit-Split and Stitching.
Proceedings of the 37th International Conference on Machine Learning, 2020

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.
Proceedings of the Computer Vision - ECCV 2020, 2020

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Sparsity-Inducing Binarized Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Distilled Tracking.
IEEE Trans. Cybern., 2019

Location-aware Upsampling for Semantic Segmentation.
CoRR, 2019

Reading selectively via Binary Input Gated Recurrent Unit.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A System-Level Solution for Low-Power Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

K-Nearest Neighbors Hashing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ODE-Inspired Network Design for Single Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DeepSearch: A Fast Image Search Framework for Mobile Devices.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Recent advances in efficient computation of deep convolutional neural networks.
Frontiers Inf. Technol. Electron. Eng., 2018

From Hashing to CNNs: Training BinaryWeight Networks via Hashing.
CoRR, 2018

Training Binary Weight Networks via Semi-Binary Decomposition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Two-Step Quantization for Low-Bit Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

From Hashing to CNNs: Training Binary Weight Networks via Hashing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fixed-Point Factorized Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Sequentially Supervised Long Short-Term Memory for Gesture Recognition.
Cogn. Comput., 2016

Accelerating Convolutional Neural Networks for Mobile Applications.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016


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