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Deep learning model for solar and wind energy forecasting considering Northwest China as an example Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:  Li, Pengyu;  Yang, Huiyu;  Wu, Han;  Wang, Yujia;  Su, Hao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/5.6 | Submit date：2024/10/10
Attention-based Spatial-temporal Graph Neural Network  Deep Learning  Long Short-term Memory  Solar Energy  Wind Energy  
SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism Journal article
Chen, Huaqiang, Tan, Weiqiang, Guo, Jiajia, Yang, Feiran. SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism[J]. Physical Communication, 2024, 67, 102516.
Authors:  Chen, Huaqiang;  Tan, Weiqiang;  Guo, Jiajia;  Yang, Feiran
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.0/1.7 | Submit date：2024/11/05
Massive Mimo  Csi Feedback  Deep Learning  Neural Network  Attention Mechanism  
A 28-nm 18.7 TOPS/mm 2 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh Journal article
Zhan, Yi, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. A 28-nm 18.7 TOPS/mm 2 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh[J]. IEEE Journal of Solid-State Circuits, 2024, 59(11), 3866-3876.
Authors:  Zhan, Yi;  Yu, Wei Han;  Un, Ka Fai;  Martins, Rui P.;  Mak, Pui In
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/05/16
Compute-in-memory (Cim)  Deep Neural Network (Dnn)  Embedded Dynamic Random Access Memory (Edram)  Input-sparsity  Single-finger (Sf)  Weight Update/refresh  
DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training Journal article
Zhou, Haoran, Rang, Wei, Chen, Hongyang, Zhou, Xiaobo, Cheng, Dazhao. DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1920-1935.
Authors:  Zhou, Haoran;  Rang, Wei;  Chen, Hongyang;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Deep Neural Network Training  Heterogeneous Memory  Memory Management  Performance Optimization  
Contrastive semi-supervised adversarial training method for hyperspectral image classification networks 面向高光谱图像分类网络的对比半监督对抗训练方法 Journal article
Cheng, Shi, Ying, Liu, Minghua, Zhao, Qiguang, Miao, Chi-Man, Pun. Contrastive semi-supervised adversarial training method for hyperspectral image classification networks 面向高光谱图像分类网络的对比半监督对抗训练方法[J]. Journal of Image and Graphics, 2024, 29(7), 1861-1874.
Authors:  Cheng, Shi;  Ying, Liu;  Minghua, Zhao;  Qiguang, Miao;  Chi-Man, Pun
Favorite | TC[Scopus]:0 | Submit date：2024/09/03
Adversarial Attack  Adversarial Defense  Deep Neural Network  Hyperspectral Image Classification  Semi-supervised Learning  
Value creation in wine tourism – an exploration through deep neural networks Journal article
Gao, Daniel, Xia, Haiyang, Deng, Weiling, Muskat, Birgit, Li, Gang, Law, Rob. Value creation in wine tourism – an exploration through deep neural networks[J]. Journal of Vacation Marketing, 2024, 30(3), 376-391.
Authors:  Gao, Daniel;  Xia, Haiyang;  Deng, Weiling;  Muskat, Birgit;  Li, Gang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:4  IF:4.5/4.5 | Submit date：2024/07/04
Deep Neural Network  Exploratory Design  Online Review Data  Tourist Decision-making  Value Creation  Wine Tourism  
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Cui, Wenjing;  Gao, Junbin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Convolutional Neural Network (Cnn)  Deep High-order Tensor Sparse Representation (Sr)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
A 90.7-nW Vibration-Based Condition Monitoring Chip Featuring a Digital Compute-in-Memory-Based DNN Accelerator Using an Ultra-Low-Power 13T-SRAM Cell Journal article
Zhang, Haochen, Yu, Wei Han, Yang, Zhizhan, Un, Ka Fai, Yin, Jun, Martins, Rui P., Mak, Pui In. A 90.7-nW Vibration-Based Condition Monitoring Chip Featuring a Digital Compute-in-Memory-Based DNN Accelerator Using an Ultra-Low-Power 13T-SRAM Cell[J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2024.
Authors:  Zhang, Haochen;  Yu, Wei Han;  Yang, Zhizhan;  Un, Ka Fai;  Yin, Jun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/08/05
13t-sram  Accelerometer Sensor  Compute-in-memory (Cim)  Deep Neural Network (Dnn)  Feature Extractor  Internet-of-things  Ultra-low Power (Ulp)  Vibration-based Condition Monitoring (Vbcm)  
Improving BOTDA Performance Based on Differential Pulsewidth Pair and FFDNet Journal article
Ge, Xiaopeng, Wang, Tao, Zhang, Qian, Peng, Jiaxin, Zhu, Yaqi, Zhang, Yongqi, Zhang, Jianzhong, Qiao, Lijun, Zhang, Mingjiang. Improving BOTDA Performance Based on Differential Pulsewidth Pair and FFDNet[J]. IEEE Sensors Journal, 2024, 24(10), 16137-16144.
Authors:  Ge, Xiaopeng;  Wang, Tao;  Zhang, Qian;  Peng, Jiaxin;  Zhu, Yaqi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.2 | Submit date：2024/06/05
Brillouin Optical Time Domain Analysis (Botda)  Deep Learning  Differential Pulsewidth Pair (Dpp)  Fast And Flexible Denoising Convolutional Neural Network (Ffdnet)  
Surface wave inversion with unknown number of soil layers based on a hybrid learning procedure of deep learning and genetic algorithm Journal article
Zhou, Zan, Lok, Thomas Man Hoi, Zhou, Wan Huan. Surface wave inversion with unknown number of soil layers based on a hybrid learning procedure of deep learning and genetic algorithm[J]. Earthquake Engineering and Engineering Vibration, 2024, 23(2), 345-358.
Authors:  Zhou, Zan;  Lok, Thomas Man Hoi;  Zhou, Wan Huan
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/2.6 | Submit date：2024/05/02
Deep Neural Network  Genetic Algorithm  Inversion Analysis  Shear-wave Velocity Profile  Surface Wave