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Graph meets probabilistic generation model: A new perspective for graph disentanglement 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:  Peng, Zouzhang;  Zheng, Shuai;  Zhu, Zhenfeng;  Liu, Zhizhe;  Cheng, Jian;  Dong, Honghui;  Zhao, Yao
收藏  |  浏览/下载：42/0  |  提交时间：2024/02/22
Graph representation learning  Graph disentanglement  Probabilistic generation model  
TinyNeRF: Towards 100 times Compression of Volume Radiance Fields 会议论文
, 线上, 2023-02
作者:  Zhao TL(赵天理);  Chen JY(陈嘉园);  Leng C(冷聪);  Cheng J(程健)
Adobe PDF(2855Kb)  |  收藏  |  浏览/下载：153/35  |  提交时间：2023/06/21
Neural Radiance Fields  Discrete Cosine Transformation  Frequency Domain  
TBERT: Dynamic BERT Inference with Top-k Based Predictors 会议论文
, Antwerp, Belgium, 2023-4-17
作者:  Liu, Zejian;  Zhao, Kun;  Cheng, Jian
Adobe PDF(3426Kb)  |  收藏  |  浏览/下载：83/21  |  提交时间：2023/06/19
Transformer  Dynamic Inference  Pruning  
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：154/41  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 2023, 页码: 1-5
作者:  Liu, Zejian;  Li, Gang;  Cheng, Jian
Adobe PDF(1982Kb)  |  收藏  |  浏览/下载：102/32  |  提交时间：2023/06/19
Accelerator/Network Co-Search  Reinforcement Learning  Performance Estimation  Multi-objective Optimization  
Towards Automatic Model Compression via A Unified Two-Stage Framework 期刊论文
Pattern Recognition (PR), 2023, 卷号: 140, 页码: 109527
作者:  Weihan Chen;  Peisong Wang;  Jian Cheng
Adobe PDF(765Kb)  |  收藏  |  浏览/下载：91/26  |  提交时间：2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1798-1809
作者:  Lan, Xing;  Hu, Qinghao;  Cheng, Jian
收藏  |  浏览/下载：50/0  |  提交时间：2023/11/17
Face alignment  multi-task learning  weakly supervised  
Differentially Private Federated Learning with Local Regularization and Sparsification 会议论文
, 线上, 2022-6
作者:  Cheng AD(程安达);  Wang PS(王培松);  Zhang X(张希);  Cheng J(程健)
Adobe PDF(312Kb)  |  收藏  |  浏览/下载：103/38  |  提交时间：2023/06/05
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Wang, Peisong;  He, Xiangyu;  Cheng, Jian
收藏  |  浏览/下载：216/0  |  提交时间：2022/07/25
Quantization (signal)  Deep learning  Convolution  Training  Biological neural networks  Optimization  Neurons  Acceleration  binarized neural networks (BNNs)  compression  fixed-point quantization  
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(4046Kb)  |  收藏  |  浏览/下载：240/22  |  提交时间：2022/06/10
Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer