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ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1560-1573
作者:  Li, Jiaqi;  Li, Haoran;  Chen, Yaran;  Ding, Zixiang;  Li, Nannan;  Ma, Mingjun;  Duan, Zicheng;  Zhao, Dongbin
收藏  |  浏览/下载：105/0  |  提交时间：2023/12/21
Joint search  model compression  pruning  reinforcement learning  
BViT: Broad Attention-Based Vision Transformer 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1 - 12
作者:  Nannan Li;  Yaran Chen;  Weifan Li;  Zixiang Ding;  Dongbin Zhao;  Shuai Nie
Adobe PDF(2171Kb)  |  收藏  |  浏览/下载：194/52  |  提交时间：2023/06/27
Broad attention  broad connection  image classification  parameter-free attention  vision transformer  
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search 期刊论文
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Zixiang, Ding;  Yaran, Chen;  Nannan, Li;  Dongbin, Zhao
Adobe PDF(7657Kb)  |  收藏  |  浏览/下载：199/49  |  提交时间：2022/01/07
Broad neural architecture search (BNAS), continuous relaxation, confident learning rate, partial channel connections, image classification.  
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Zixiang, Ding;  Yaran, Chen;  Nannan, Li;  Dongbin, Zhao;  C.L.Philip Chen,
Adobe PDF(764Kb)  |  收藏  |  浏览/下载：198/29  |  提交时间：2022/01/07
broad neural architecture search, stacked broad convolutional neural network, knowledge embedding search, image classification.  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：170/41  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
Heuristic rank selection with progressively searching tensor ring network 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 15
作者:  Li, Nannan;  Pan, Yu;  Chen, Yaran;  Ding, Zixiang;  Zhao, Dongbin;  Xu, Zenglin
Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：265/39  |  提交时间：2021/04/27
Tensor ring networks  Rank selection  Progressively search  Image classification  
Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction 期刊论文
ENERGIES, 2018, 卷号: 11, 期号: 1
作者:  Li, Chengdong;  Ding, Zixiang;  Yi, Jianqiang;  Lv, Yisheng;  Zhang, Guiqing
收藏  |  浏览/下载：218/0  |  提交时间：2018/10/10
Building Energy Consumption Prediction  Deep Belief Network  Contrastive Divergence Algorithm  Least Squares Learning  Energy-consuming Pattern  
Data-driven design of the extended fuzzy neural network having linguistic outputs 期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 卷号: 34, 期号: 1, 页码: 349-360
作者:  Li, Chengdong;  Ding, Zixiang;  Qian, Dianwei;  Lv, Yisheng
收藏  |  浏览/下载：168/0  |  提交时间：2018/10/10
Data-driven Method  Fuzzy Neural Network  Multi-objective Optimization  Structure Reduction  
Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：307/48  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine