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A Low-Order Steady-State Model of Electric Springs for Conservation Voltage Reduction in Active Distribution Networks with Renewables Journal article
Wang, Jian, Lao, Keng Weng, Dai, Ningyi, Liu, Haoming, Chi, Yuan, Wang, Qianggang, Song, Yonghua. A Low-Order Steady-State Model of Electric Springs for Conservation Voltage Reduction in Active Distribution Networks with Renewables[J]. IEEE Transactions on Power Delivery, 2024, 39(1), 363-377.
Authors:  Wang, Jian;  Lao, Keng Weng;  Dai, Ningyi;  Liu, Haoming;  Chi, Yuan; et al.
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:3.8/4.2 | Submit date：2023/01/30
Electric Spring  Conservation Voltage Reduction  Active Distribution Networks  Low-order Steady-state Model  
A 47-nW Voice Activity Detector (VAD) Featuring a Short-Time CNN Feature Extractor and an RNN-Based Classifier with a Non-Volatile CAP-ROM Journal article
Jinhai Lin, Ka-Fai Un, Wei-Han Yu, Rui P. Martins, Pui-In Mak. A 47-nW Voice Activity Detector (VAD) Featuring a Short-Time CNN Feature Extractor and an RNN-Based Classifier with a Non-Volatile CAP-ROM[J]. IEEE Journal of Solid State Circuits, 2023, 58(11), 3020 - 3029.
Authors:  Jinhai Lin;  Ka-Fai Un;  Wei-Han Yu;  Rui P. Martins;  Pui-In Mak
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:4.6/5.6 | Submit date：2023/08/03
Capacitor-rom (Cap-rom)  Edge Computing  Feature Extraction  Model Reduction  Non-volatile Memory  Switched-capacitor Circuits  Voice Activity Detector (Vad)  Receptive Field  Recurrent Neural Network (Rnn)  
Nessy: A Neuro-Symbolic System for Label Noise Reduction Journal article
Smirnova, Alisa, Yang, Jie, Yang, Dingqi, Cudre-Mauroux, Philippe. Nessy: A Neuro-Symbolic System for Label Noise Reduction[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8), 8300 - 8311.
Authors:  Smirnova, Alisa;  Yang, Jie;  Yang, Dingqi;  Cudre-Mauroux, Philippe
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:8.9/8.8 | Submit date：2022/08/30
Noise Reduction  Neuro-symbolic Systems  Deep Probabilistic Model  Relation Extraction  Distant Supervision  
Hierarchical Services of Convolutional Neural Networks via Probabilistic Selective Encryption Journal article
Tian, Jinyu, Zhou, Jiantao, Duan, Jia. Hierarchical Services of Convolutional Neural Networks via Probabilistic Selective Encryption[J]. IEEE Transactions on Services Computing, 2023, 16(1), 343 - 355.
Authors:  Tian, Jinyu;  Zhou, Jiantao;  Duan, Jia
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:5.5/5.9 | Submit date：2022/05/13
Cnn  Computational Modeling  Convolutional Neural Networks  Encryption  Hierarchical Service  Model Protection  Noise Reduction  Selective Encryption  Task Analysis  Training  Watermarking  
Comparative metabolic modeling of multiple sulfate-reducing prokaryotes reveals versatile energy conservation mechanisms Journal article
Tang, Wen Tao, Hao, Tian Wei, Chen, Guang Hao. Comparative metabolic modeling of multiple sulfate-reducing prokaryotes reveals versatile energy conservation mechanisms[J]. Biotechnology and Bioengineering, 2021, 118(7), 2676-2693.
Authors:  Tang, Wen Tao;  Hao, Tian Wei;  Chen, Guang Hao
Favorite | TC[WOS]:7 TC[Scopus]:3  IF:3.5/4.0 | Submit date：2021/12/08
Comparative Genomics  Dissimilatory Sulfate Reduction  Energy Metabolism  Genome-scale Metabolic Model  Metabolic Modeling  
Policies and predictions for a low-carbon transition by 2050 in passenger vehicles in East Asia: Based on an analysis using the E3ME-FTT model Journal article
Lam,Aileen, Lee,Soocheol, Mercure,Jean François, Cho,Yongsung, Lin,Chun Hsu, Pollitt,Hector, Chewpreecha,Unnada, Billington,Sophie. Policies and predictions for a low-carbon transition by 2050 in passenger vehicles in East Asia: Based on an analysis using the E3ME-FTT model[J]. Sustainability (Switzerland), 2019, 10(5).
Authors:  Lam,Aileen;  Lee,Soocheol;  Mercure,Jean François;  Cho,Yongsung;  Lin,Chun Hsu; et al.
Favorite | TC[WOS]:12 TC[Scopus]:16 | Submit date：2019/06/26
Co2 Emission Reduction  E3me  East Asian Countries  Ftt: Transport Model  The Diffusion Of Electric Vehicle  Transport Sectors  Transportation Policies  
Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau Journal article
X. Li, D. Lopes, K. M. Mok, A. I. Miranda, K. V. Yuen, K. I. Hoi. Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau[J]. Environmental Monitoring and Assessment, 2019, 191(4).
Authors:  X. Li;  D. Lopes;  K. M. Mok;  A. I. Miranda;  K. V. Yuen; et al.
Favorite | TC[WOS]:17 TC[Scopus]:20  IF:2.9/3.1 | Submit date：2021/03/09
Emission Reduction Scenarios  Macau Sar  Road Traffic Model  Road Transport Emissions  Emission Inventory  High Resolution  
Vibration-based damage detection for structural connections using incomplete modal data by Bayesian approach and model reduction technique Journal article
Tao Yin, Qing-Hui Jiang, Ka-Veng Yuen. Vibration-based damage detection for structural connections using incomplete modal data by Bayesian approach and model reduction technique[J]. ENGINEERING STRUCTURES, 2016, 132, 260-277.
Authors:  Tao Yin;  Qing-Hui Jiang;  Ka-Veng Yuen
Favorite | TC[WOS]:100 TC[Scopus]:112  IF:5.6/5.8 | Submit date：2018/10/30
Structural Connection  Damage Detection  Bayesian Probabilistic Approach  Finite Element Model Reduction  System Modal Parameters  
A robust bi-sparsity model with non-local regularization for mixed noise reduction Journal article
Chen L., Liu L., Philip Chen C.L.. A robust bi-sparsity model with non-local regularization for mixed noise reduction[J]. Information Sciences, 2016, 354, 101-111.
Authors:  Chen L.;  Liu L.;  Philip Chen C.L.
Favorite | TC[WOS]:22 TC[Scopus]:24 | Submit date：2019/02/11
Bi-sparsity Model  Mixed Noise Reduction  Non-local Regularization  Sparse Representation  
A fast adaptive model reduction method based on Takenaka-Malmquist systems Journal article
Mi W., Qian T., Wan F.. A fast adaptive model reduction method based on Takenaka-Malmquist systems[J]. Systems and Control Letters, 2012, 61(1), 223.
Authors:  Mi W.;  Qian T.;  Wan F.
Favorite | TC[WOS]:56 TC[Scopus]:61  IF:2.1/2.5 | Submit date：2018/10/30
Best Approximation  Impulse Response Energy  Model Order Reduction  Rational Approximation  Takenakamalmquist Basis