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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  
Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) Journal article
Lam, Mei Ieng, Bai, Wei, Feng, Yuan, Zhang, Qinge, Zhang, Yanbo, Jackson, Todd, Rao, Shu Ying, Ho, Tin Ian, Su, Zhaohui, Cheung, Teris, Lopes Lao, Edmundo Patricio, Sha, Sha, Xiang, Yu Tao. Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)[J]. Journal of Psychosomatic Research, 2024, 187, 111910.
Authors:  Lam, Mei Ieng;  Bai, Wei;  Feng, Yuan;  Zhang, Qinge;  Zhang, Yanbo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.5/3.7 | Submit date：2024/10/10
Anxiety  Depression  Heart Disease  Network Analysis  Older Adults  
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  
City metro network expansion based on multi-objective reinforcement learning Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:  Zhang, Liqing;  U, Leong Hou;  Ni, Shaoquan;  Chen, Dingjun;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/11/05
Actor-critic Network  Metro Expansion  Reinforcement Learning  
Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental trajectories Journal article
Wan, Lin, Li, Yuhang, Zhu, Gang, Yang, Dalin, Li, Fali, Wang, Wen, Chen, Jian, Yang, Guang, Li, Rihui. Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental trajectories[J]. NeuroImage, 2024, 302, 120895.
Authors:  Wan, Lin;  Li, Yuhang;  Zhu, Gang;  Yang, Dalin;  Li, Fali; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.7/6.1 | Submit date：2024/11/05
Asd  Eeg  Fnirs  Dynamic Functional Connectivity  Multimodal Covariance Network  Neurobiology  
Tide level prediction during typhoons based on variable topology in graph convolution recurrent neural networks Journal article
Shi, Xianwu, Chen, Peng, Ye, Zuchao, Zhang, Xinlong, Wang, Weiping. Tide level prediction during typhoons based on variable topology in graph convolution recurrent neural networks[J]. Ocean Engineering, 2024, 312, 119228.
Authors:  Shi, Xianwu;  Chen, Peng;  Ye, Zuchao;  Zhang, Xinlong;  Wang, Weiping
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/4.8 | Submit date：2024/10/10
Graph Convolutional Recurrent Network  Network Topology  Regional Multi-station Forecast  Tide Level Prediction  
The longitudinal relationships between problematic mobile phone use symptoms and negative emotions: a cross-lagged panel network analysis Journal article
Shen, Guanghui, Huang, Guoyong, Wang, Mengting, Jian, Wenqian, Pan, Hong, Dai, Zheru, Wu, Anise M.S., Chen, Li. The longitudinal relationships between problematic mobile phone use symptoms and negative emotions: a cross-lagged panel network analysis[J]. Comprehensive Psychiatry, 2024, 135, 152530.
Authors:  Shen, Guanghui;  Huang, Guoyong;  Wang, Mengting;  Jian, Wenqian;  Pan, Hong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.7 | Submit date：2024/10/10
Academic Burnout  Longitudinal Network  Negative Emotions  Problematic Mobile Phone Use  
Suicidality is most centrally situated within network of depression symptom criteria in unipolar depression patients with mood stabilizer in Asia Journal article
Yoon, Jin Woong, Kim, Eunkyung, Jeong, Narae, Kang, Minseok, Kim, Han Seul, Lee, Seonjae, Yoon, Hyung Jun, Kim, Seung Gon, Na, Euihyeon, Yang, Hyunju, Park, Joon Hyuk, Yang, Shu Yu, Lin, Shih Ku, Zhu, Xiaomin, Xiang, Yu Tao, Sim, Kang, Tan, Chay Hoon, Grover, Sandeep, Avasthi, Ajit, Kallivayalil, Roy Abraham, Maramis, Margarita M., Chee, Kok Yoon, Pariwatcharakul, Pornjira, Oo, Tin, Kato, Takahiro A., Javed, Afzal, Chong, Mian Yoon, Sartorius, Norman, Shinfuku, Naotaka, Park, Jeongsoo, Park, Seon Cheol. Suicidality is most centrally situated within network of depression symptom criteria in unipolar depression patients with mood stabilizer in Asia[J]. Asian Journal of Psychiatry, 2024, 101, 104197.
Authors:  Yoon, Jin Woong;  Kim, Eunkyung;  Jeong, Narae;  Kang, Minseok;  Kim, Han Seul; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.8/4.8 | Submit date：2024/10/10
Asia  Lithium  Mood Stabilizer  Network Analysis  Suicidality  Unipolar Depression  
A 512-nW 0.003-mm2 Forward-Forward Black Box Trainer for an Analog Voice Activity Detector in 28-nm CMOS Journal article
LI JUNDE, XIN GUOQIANG, YU WEI HAN, UN KA FAI, RUI P MARTINS, MAK PUI IN. A 512-nW 0.003-mm2 Forward-Forward Black Box Trainer for an Analog Voice Activity Detector in 28-nm CMOS[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71(11), 4703-4707.
Authors:  LI JUNDE;  XIN GUOQIANG;  YU WEI HAN;  UN KA FAI;  RUI P MARTINS; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2024/08/29
Voice Activity Detection  Convolution Neural Network  Edge Learning  Forward-forward Algorithm  Black Box Training  Back Propagation  
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