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2020 – today
- 2025
[i21]Ruotian Ma, Peisong Wang, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li:
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning. CoRR abs/2502.12853 (2025)- 2024
- [j14]Peisong Wang
, Xiangyu He, Jian Cheng:
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. IEEE Trans. Neural Networks Learn. Syst. 35(1): 272-284 (2024) - [c32]Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng:
Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI 2024: 17245-17253 - [c31]Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng:
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. ICML 2024 - [c30]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. IJCAI 2024: 8123-8131 - [c29]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD 2024: 1725-1735 - [c28]Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li:
GLBench: A Comprehensive Benchmark for Graph with Large Language Models. NeurIPS 2024 - [c27]Feixue Liu, Yuqing Miao, Yun Ye, Peisong Wang, Xinglu Liu, Kai Zhang, Wai Kin Chan:
Data-Driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems. WSC 2024: 644-655 - [i20]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR abs/2402.11235 (2024) - [i19]Tianqi Chen, Zhe Li, Weixiang Xu, Zeyu Zhu, Dong Li, Lu Tian, Emad Barsoum, Peisong Wang, Jian Cheng:
TernaryLLM: Ternarized Large Language Model. CoRR abs/2406.07177 (2024) - [i18]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 abs/2407.07457 (2024) - [i17]Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng:
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. CoRR abs/2409.14939 (2024) - [i16]Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang:
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing. CoRR abs/2412.07517 (2024) - 2023
- [j13]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): 2119-2135 (2023) - [j12]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognit. 140: 109527 (2023) - [j11]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): 1549-1563 (2023) - [j10]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): 4167-4180 (2023) - [c26]Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng:
Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS 2023 - [i15]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 abs/2311.12399 (2023) - 2022
- [c25]Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng:
Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI 2022: 2929-2937 - [c24]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: 6358-6366 - [c23]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022: 10112-10121 - [c22]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: 3-26 - [c21]Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng:
RISPNet: A Network for Reversed Image Signal Processing. ECCV Workshops (2) 2022: 445-457 - [c20]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: 458-474 - [i14]Zhexin Li, Tong Yang, Peisong Wang, Jian Cheng:
Q-ViT: Fully Differentiable Quantization for Vision Transformer. CoRR abs/2201.07703 (2022) - [i13]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR abs/2203.03106 (2022) - [i12]Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. CoRR abs/2204.01234 (2022) - [i11]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 abs/2210.11153 (2022) - 2021
- [j9]Yang Qu, Peisong Wang, Wenguang Wang, Hongqiang Wang:
Analyses and Optimization of Electrostatic Film Actuators Considering Electrical Breakdown. IEEE Robotics Autom. Lett. 6(2): 1152-1159 (2021) - [j8]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): 2288-2300 (2021) - [j7]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): 2706-2720 (2021) - [c19]Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-Shot Network Quantization. CVPR Workshops 2021: 3000-3011 - [c18]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. ICCV 2021: 5330-5339 - [c17]Zhenmeng Zuo, Zhexin Li, Peisong Wang, Weihan Chen, Jian Cheng:
Towards Binarized MobileNet via Structured Sparsity. ICIG (1) 2021: 688-699 - [c16]Zili Liu, Peisong Wang, Zaixing Li:
More-Similar-Less-Important: Filter Pruning VIA Kmeans Clustering. ICME 2021: 1-6 - [i10]Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-shot Network Quantization. CoRR abs/2101.08430 (2021) - [i9]Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng:
Improving Binary Neural Networks through Fully Utilizing Latent Weights. CoRR abs/2110.05850 (2021) - [i8]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. CoRR abs/2110.06554 (2021) - [i7]Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR abs/2110.08557 (2021) - 2020
- [j6]Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng:
Robust one-stage object detection with location-aware classifiers. Pattern Recognit. 105: 107334 (2020) - [j5]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): 2495-2509 (2020) - [c15]Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng:
Sparsity-Inducing Binarized Neural Networks. AAAI 2020: 12192-12199 - [c14]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. BMVC 2020 - [c13]Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng:
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020: 971-974 - [c12]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: 223-241 - [c11]Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng:
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. ICML 2020: 9847-9856 - [c10]Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. IJCAI 2020: 2298-2304
2010 – 2019
- 2019
- [j4]Guibo Zhu, Jinqiao Wang, Peisong Wang, Yi Wu, Hanqing Lu:
Feature Distilled Tracking. IEEE Trans. Cybern. 49(2): 440-452 (2019) - [c9]Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng:
ODE-Inspired Network Design for Single Image Super-Resolution. CVPR 2019: 1732-1741 - [c8]Xiangyu He, Peisong Wang, Jian Cheng:
K-Nearest Neighbors Hashing. CVPR 2019: 2839-2848 - [c7]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: 2461-2468 - [c6]Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng:
Reading selectively via Binary Input Gated Recurrent Unit. IJCAI 2019: 5074-5080 - [i6]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 abs/1909.10964 (2019) - [i5]Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng:
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. CoRR abs/1910.08787 (2019) - [i4]Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng:
Location-aware Upsampling for Semantic Segmentation. CoRR abs/1911.05250 (2019) - 2018
- [j3]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): 64-77 (2018) - [j2]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): 6:1-6:22 (2018) - [c5]Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI 2018: 3247-3254 - [c4]Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng:
Two-Step Quantization for Low-Bit Neural Networks. CVPR 2018: 4376-4384 - [c3]Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng:
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) 2018: 657-673 - [i3]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR abs/1802.00939 (2018) - [i2]Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training BinaryWeight Networks via Hashing. CoRR abs/1802.02733 (2018) - 2017
- [c2]Peisong Wang, Jian Cheng:
Fixed-Point Factorized Networks. CVPR 2017: 3966-3974 - 2016
- [j1]Peisong Wang, Qiang Song, Hua Han, Jian Cheng:
Sequentially Supervised Long Short-Term Memory for Gesture Recognition. Cogn. Comput. 8(5): 982-991 (2016) - [c1]Peisong Wang, Jian Cheng:
Accelerating Convolutional Neural Networks for Mobile Applications. ACM Multimedia 2016: 541-545 - [i1]Peisong Wang, Jian Cheng:
Fixed-point Factorized Networks. CoRR abs/1611.01972 (2016)
Coauthor Index
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