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EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless Conference paper
Peng, Shijie, Lin, Yanying, Chen, Wenyan, Tang, Yingfei, Duan, Xu, Ye, Kejiang. EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1376-1381.
Authors:  Peng, Shijie;  Lin, Yanying;  Chen, Wenyan;  Tang, Yingfei;  Duan, Xu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Edge-cloud Collaborative  Network-efficiency  Serverless Inference  
Robust wireless sensor network configuration design for structural health monitoring with optimal information-energy tradeoff Journal article
Hao, Xiao Han, Kuok, Sin Chi, Yuen, Ka Veng. Robust wireless sensor network configuration design for structural health monitoring with optimal information-energy tradeoff[J]. Smart Structures and Systems, 2024, 33(6), 465-482.
Authors:  Hao, Xiao Han;  Kuok, Sin Chi;  Yuen, Ka Veng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.1/2.8 | Submit date：2024/10/10
Bayesian Inference  Energy Efficiency  Multi-type Sensing Devices  Parameter Identification  Robust Wireless Sensor Network  Sensor Failure  
A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity Journal article
Wu, Hao, Chen, Yong, Yuan, Yiyang, Yue, Jinshan, Wang, Xinghua, Li, Xiaoran, Zhang, Feng. A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity[J]. IEEE Journal of Solid-State Circuits, 2024.
Authors:  Wu, Hao;  Chen, Yong;  Yuan, Yiyang;  Yue, Jinshan;  Wang, Xinghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/07/04
Accuracy  Artificial Intelligence  Artificial Intelligence (Ai)  Circuits  Cmos  Computing-in-memory (Cim)  Energy Efficiency  Energy Efficiency  Look-up Table (Lut)  Multiply-accumulation (Mac)  Neural Network (Nn)  Power Demand  Radix16  Table Lookup  Throughput  Unstructured Sparsity  Winograd Convolution  
A method and device for training classification models and data classification Patent
专利类型: 发明专利Invention,
Authors:  Kafeng Wang;  Chengzhong Xu;  Haoyi Xiong;  Xingjian Li;  Dejing Dou
Favorite |  | Submit date：2022/08/29
Deep Learning  Efficiency  Neural Network  Compression  Dynamic Computing  
Energy Efficiency Prediction Model of Suction Hopper Dredger Based on Correlation Analysis and Convolutional Neural Network Conference paper
Zhang, Jinyue, Chen, Liheng, Qin, Daqing. Energy Efficiency Prediction Model of Suction Hopper Dredger Based on Correlation Analysis and Convolutional Neural Network[C], 2023, 216-221.
Authors:  Zhang, Jinyue;  Chen, Liheng;  Qin, Daqing
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
Convolutional Neural Network  Correlation Analysis  Efficiency Prediction  Suction Hopper Dredger  
Cost-Efficient Sharing Algorithms for DNN Model Serving in Mobile Edge Networks Journal article
Dai,Hao, Wu,Jiashu, Wang,Yang, Yen,Jerome, Zhang,Yong, Xu,Chengzhong. Cost-Efficient Sharing Algorithms for DNN Model Serving in Mobile Edge Networks[J]. IEEE Transactions on Services Computing, 2023, 16(4), 2517-2531.
Authors:  Dai,Hao;  Wu,Jiashu;  Wang,Yang;  Yen,Jerome;  Zhang,Yong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:5.5/5.9 | Submit date：2023/08/03
Cost Efficiency  Deep Neural Network  Mobile Edge Computing  Model Sharing  Online Algorithm  
A 4.5-W, 18.5–24.5-GHz GaN Power Amplifier Employing Chebyshev Matching Technique Journal article
Yujia, Wang, Jincheng, Zhang, Yong, Chen, Junyan, Ren, Shunli, Ma. A 4.5-W, 18.5–24.5-GHz GaN Power Amplifier Employing Chebyshev Matching Technique[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023, 31(2), 233-242.
Authors:  Yujia, Wang;  Jincheng, Zhang;  Yong, Chen;  Junyan, Ren;  Shunli, Ma
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:2.8/2.8 | Submit date：2023/01/30
Chebyshev Matching Technique  Gallium Nitride (Gan)  Power Added Efficiency (Pae)  Power Amplifier (Pa)  Satellite Communication  Wideband Matching Network  
An FPGA-Based Energy-Efficient Reconfigurable Depthwise Separable Convolution Accelerator for Image Recognition Journal article
Lei Xuan, Ka-Fai Un, Chi-Seng Lam, Rui P. Martins. An FPGA-Based Energy-Efficient Reconfigurable Depthwise Separable Convolution Accelerator for Image Recognition[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(10), 4003-4007.
Authors:  Lei Xuan;  Ka-Fai Un;  Chi-Seng Lam;  Rui P. Martins
Favorite | TC[WOS]:30 TC[Scopus]:32  IF:4.0/3.7 | Submit date：2022/06/14
Frequency Modulation  Field Programmable Gate Arrays  Energy Efficiency  Memory Management  Random Access Memory  Arrays  Computational Cost  Convolutional Neural Network (Cnn)  Field-programmable Gate Array (Fpga)  Mobilenetv2  Neural Network  Quantization  
Miniaturized Broadband Doherty Power Amplifier Using Simplified Output Matching Topology Journal article
Chen, Hang, Xu, Jin Xu, Zhang, Xiu Yin. Miniaturized Broadband Doherty Power Amplifier Using Simplified Output Matching Topology[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2022, 69(8), 3083-3092.
Authors:  Chen, Hang;  Xu, Jin Xu;  Zhang, Xiu Yin
Favorite | TC[WOS]:11 TC[Scopus]:12  IF:5.2/4.5 | Submit date：2022/08/05
Bandwidth  Broadband Doherty Power Amplifier  Circuit Faults  High Efficiency  Impedance  Impedance Matching  Inductors  Network Topology  Norton Transformation  Simple Structure  Simplified Output Matching Topology  Topology  Without Post-matching Network.  
An FPGA-Based Energy-Efficient Reconfigurable Convolutional Neural Network Accelerator for Object Recognition Applications Journal article
Li, Jixuan, Un, Ka Fai, Yu, Wei Han, Mak, Pui In, Martins, Rui P.. An FPGA-Based Energy-Efficient Reconfigurable Convolutional Neural Network Accelerator for Object Recognition Applications[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(9), 3143-3147.
Authors:  Li, Jixuan;  Un, Ka Fai;  Yu, Wei Han;  Mak, Pui In;  Martins, Rui P.
Favorite | TC[WOS]:43 TC[Scopus]:56  IF:4.0/3.7 | Submit date：2021/09/20
Computation Efficiency  Convolutional Neural Network (Cnn)  Fpga  Object Recognition  Reconfigurability