Peisong Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 60

Top Topics

Structured Sparsity

Differentially Private

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD (2024)
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR (2024)
Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng
Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI (2024)
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li
GLBench: A Comprehensive Benchmark for Graph with Large Language Models. CoRR (2024)
Tianqi Chen, Zhe Li, Weixiang Xu, Zeyu Zhu, Dong Li, Lu Tian, Emad Barsoum, Peisong Wang, Jian Cheng
TernaryLLM: Ternarized Large Language Model. CoRR (2024)
Peisong Wang, Xiangyu He, Jian Cheng
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Weihan Chen, Peisong Wang, Jian Cheng
Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognit. 140 (2023)
Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng
Improving Extreme Low-Bit Quantization With Soft Threshold. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng
Optimization-Based Post-Training Quantization With Bit-Split and Stitching. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng
Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS (2023)
Peisong Wang, Fanrong Li, Gang Li, Jian Cheng
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR (2023)
Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng
Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR (2022)
Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng
Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI (2022)
Xiaoran Qin, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng
CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. ECCV Workshops (2) (2022)
Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng
RISPNet: A Network for Reversed Image Signal Processing. ECCV Workshops (2) (2022)
Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR (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)
Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR (2022)
Zhexin Li, Tong Yang, Peisong Wang, Jian Cheng
Q-ViT: Fully Differentiable Quantization for Vision Transformer. CoRR (2022)
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
Soft Threshold Ternary Networks. CoRR (2022)
Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) (2022)
Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng
Generative Zero-shot Network Quantization. CoRR (2021)
Weihan Chen, Peisong Wang, Jian Cheng
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. ICCV (2021)
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR (2021)
Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng
Unsupervised Network Quantization via Fixed-Point Factorization. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Zili Liu, Peisong Wang, Zaixing Li
More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering. ICME (2021)
Yang Qu, Peisong Wang, Wenguang Wang, Hongqiang Wang
Analyses and Optimization of Electrostatic Film Actuators Considering Electrical Breakdown. IEEE Robotics Autom. Lett. 6 (2) (2021)
Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng
Generative Zero-Shot Network Quantization. CVPR Workshops (2021)
Zhenmeng Zuo, Zhexin Li, Peisong Wang, Weihan Chen, Jian Cheng
Towards Binarized MobileNet via Structured Sparsity. ICIG (1) (2021)
Weihan Chen, Peisong Wang, Jian Cheng
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. CoRR (2021)
Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31 (6) (2021)
Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng
Improving Binary Neural Networks through Fully Utilizing Latent Weights. CoRR (2021)
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
Soft Threshold Ternary Networks. IJCAI (2020)
Weihan Chen, Peisong Wang, Jian Cheng
Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. BMVC (2020)
Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng
Robust one-stage object detection with location-aware classifiers. Pattern Recognit. 105 (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)
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)
Xueqin Lü, Lingzheng Meng, Chao Chen, Peisong Wang
Fuzzy Removing Redundancy Restricted Boltzmann Machine: Improving Learning Speed and Classification Accuracy. IEEE Trans. Fuzzy Syst. 28 (10) (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 (3) (2020)
Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
A System-Level Solution for Low-Power Object Detection. CoRR (2019)
Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng
Location-aware Upsampling for Semantic Segmentation. CoRR (2019)
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)
Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng
A System-Level Solution for Low-Power Object Detection. ICCV Workshops (2019)
Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. CoRR (2019)
Guibo Zhu, Jinqiao Wang, Peisong Wang, Yi Wu, Hanqing Lu
Feature Distilled Tracking. IEEE Trans. Cybern. 49 (2) (2019)
Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng
Reading selectively via Binary Input Gated Recurrent Unit. IJCAI (2019)
Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) (2018)
Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR (2018)
Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
Recent advances in efficient computation of deep convolutional neural networks. Frontiers Inf. Technol. Electron. Eng. 19 (1) (2018)
Qinghao Hu, Peisong Wang, Jian Cheng
From Hashing to CNNs: Training BinaryWeight Networks via Hashing. CoRR (2018)
Peisong Wang, Qinghao Hu, Yifan 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)
Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng
DeepSearch: A Fast Image Search Framework for Mobile Devices. ACM Trans. Multim. Comput. Commun. Appl. 14 (1) (2018)
Peisong Wang, Jian Cheng
Fixed-Point Factorized Networks. CVPR (2017)
Peisong Wang, Jian Cheng
Accelerating Convolutional Neural Networks for Mobile Applications. ACM Multimedia (2016)
Peisong Wang, Qiang Song, Hua Han, Jian Cheng
Sequentially Supervised Long Short-Term Memory for Gesture Recognition. Cogn. Comput. 8 (5) (2016)
Peisong Wang, Jian Cheng
Fixed-point Factorized Networks. CoRR (2016)