Peisong Wang

Orcid: 0000-0002-6384-0280

According to our database¹, Peisong Wang authored at least 52 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application.

[BibT_eX]

[DOI]

Peisong Wang

Xiangyu He

Jian Cheng

IEEE Trans. Neural Networks Learn. Syst., January, 2024

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale.

[BibT_eX]

[DOI]

CoRR, 2024

GLBench: A Comprehensive Benchmark for Graph with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

TernaryLLM: Ternarized Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Patch-Aware Sample Selection for Efficient Masked Image Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Towards Automatic Model Compression via a Unified Two-Stage Framework.

[BibT_eX]

[DOI]

Weihan Chen

Peisong Wang

Jian Cheng

Pattern Recognit., August, 2023

Improving Extreme Low-Bit Quantization With Soft Threshold.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2023

Optimization-Based Post-Training Quantization With Bit-Split and Stitching.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Towards Efficient and Accurate Winograd Convolution via Full Quantization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

RISPNet: A Network for Reversed Image Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report.

[BibT_eX]

[DOI]

Eduardo Pérez-Pellitero

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Differentially Private Federated Learning with Local Regularization and Sparsification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Fully Sparse Training: Information Restoration with Spatial Similarity.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Network Quantization via Fixed-Point Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

SpatialFlow: Bridging All Tasks for Panoptic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Analyses and Optimization of Electrostatic Film Actuators Considering Electrical Breakdown.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Improving Binary Neural Networks through Fully Utilizing Latent Weights.

[BibT_eX]

[DOI]

CoRR, 2021

Generative Zero-shot Network Quantization.

[BibT_eX]

[DOI]

CoRR, 2021

More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering.

[BibT_eX]

[DOI]

Zili Liu

Peisong Wang

Zaixing Li

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Towards Binarized MobileNet via Structured Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 11th International Conference, 2021

Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization.

[BibT_eX]

[DOI]

Weihan Chen

Peisong Wang

Jian Cheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Zero-Shot Network Quantization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Robust one-stage object detection with location-aware classifiers.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Soft Threshold Ternary Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Accurate Post-training Network Quantization via Bit-Split and Stitching.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization.

[BibT_eX]

[DOI]

Weihan Chen

Peisong Wang

Jian Cheng

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Sparsity-Inducing Binarized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Feature Distilled Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Location-aware Upsampling for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Reading selectively via Binary Input Gated Recurrent Unit.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A System-Level Solution for Low-Power Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

K-Nearest Neighbors Hashing.

[BibT_eX]

[DOI]

Xiangyu He

Peisong Wang

Jian Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ODE-Inspired Network Design for Single Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

DeepSearch: A Fast Image Search Framework for Mobile Devices.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2018

Recent advances in efficient computation of deep convolutional neural networks.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2018

From Hashing to CNNs: Training BinaryWeight Networks via Hashing.

[BibT_eX]

[DOI]

Qinghao Hu

Peisong Wang

Jian Cheng

CoRR, 2018

Training Binary Weight Networks via Semi-Binary Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Two-Step Quantization for Low-Bit Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

From Hashing to CNNs: Training Binary Weight Networks via Hashing.

[BibT_eX]

[DOI]

Qinghao Hu

Peisong Wang

Jian Cheng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Fixed-Point Factorized Networks.

[BibT_eX]

[DOI]

Peisong Wang

Jian Cheng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Sequentially Supervised Long Short-Term Memory for Gesture Recognition.

[BibT_eX]

[DOI]

Cogn. Comput., 2016

Accelerating Convolutional Neural Networks for Mobile Applications.

[BibT_eX]

[DOI]

Peisong Wang

Jian Cheng

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Peisong Wang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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