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An FPGA-Based Transformer Accelerator With Parallel Unstructured Sparsity Handling for Question-Answering Applications Journal article
Cao, Rujian, Zhao, Zhongyu, Un, Ka Fai, Yu, Wei Han, Martins, Rui P., Mak, Pui In. An FPGA-Based Transformer Accelerator With Parallel Unstructured Sparsity Handling for Question-Answering Applications[J]. IEEE Transactions on Circuits and Systems II-Express Briefs, 2024, 71(11), 4688-4692.
Authors:  Cao, Rujian;  Zhao, Zhongyu;  Un, Ka Fai;  Yu, Wei Han;  Martins, Rui P.; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2024/10/10
Sparse Matrices  Computational Modeling  Transformers  Hardware  Energy Efficiency  Circuits  Throughput  Dataflow  Digital Accelerator  Energy-efficient  Field-programmable Gate Array (Fpga)  Sparsity  Transformer  
Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks Conference paper
Lai, Zhixin, Wu, Jing, Chen, Suiyao, Zhou, Yucheng, Hovakimyan, Naira. Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks[C]:IEEE Computer Society, 2024, 5086-5096.
Authors:  Lai, Zhixin;  Wu, Jing;  Chen, Suiyao;  Zhou, Yucheng;  Hovakimyan, Naira
Favorite | TC[Scopus]:3 | Submit date：2024/11/05
Visualization  Three-dimensional Displays  Large Language Models  Conferences  Fasteners  Transformers  Pattern Recognition  Llm  Biomedical Imaging  
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks Conference paper
Han, Kai, Wang, Yunhe, Guo, Jianyuan, Wu, Enhua. ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks[C]:IEEE Computer Society, 2024, 15751-15761.
Authors:  Han, Kai;  Wang, Yunhe;  Guo, Jianyuan;  Wu, Enhua
Favorite | TC[Scopus]:6 | Submit date：2024/11/05
Convolutional Codes  Visualization  Computer Vision  Accuracy  Transformers  Pattern Recognition  
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection Conference paper
Yin, Junbo, Shen, Jianbing, Chen, Runnan, Li, Wei, Yang, Ruigang, Frossard, Pascal, Wang, Wenguan. IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection[C]:IEEE Computer Society, 2024, 14905-14915.
Authors:  Yin, Junbo;  Shen, Jianbing;  Chen, Runnan;  Li, Wei;  Yang, Ruigang; et al.
Favorite | TC[Scopus]:3 | Submit date：2024/11/05
Point Cloud Compression  Computer Vision  Three-dimensional Displays  Collaboration  Object Detection  Benchmark Testing  Transformers  Multimodal  Object Detection  Point Cloud  Autonomous Driving  
Federated Learning-Empowered AI-Generated Content in Wireless Networks Journal article
Huang Xumin, Li Peichun, Du Hongyang, Kang Jiawen, Niyato Dusit, Kim Dong In, Wu Yuan. Federated Learning-Empowered AI-Generated Content in Wireless Networks[J]. IEEE Network, 2024, 38(5), 304-313.
Authors:  Huang Xumin;  Li Peichun;  Du Hongyang;  Kang Jiawen;  Niyato Dusit; et al.
Favorite | TC[WOS]:9 TC[Scopus]:17  IF:6.8/8.5 | Submit date：2024/05/16
Adaptation Models  Aigc  Computational Modeling  Data Models  Deep Learning  Federated Learning  Generative Adversarial Networks  Stable Diffusion  Task Analysis  Training  Transformers  Wireless Networks  
CTNet: Contrastive Transformer Network for Polyp Segmentation Journal article
Xiao, Bin, Hu, Jinwu, Li, Weisheng, Pun, Chi Man, Bi, Xiuli. CTNet: Contrastive Transformer Network for Polyp Segmentation[J]. IEEE Transactions on Cybernetics, 2024.
Authors:  Xiao, Bin;  Hu, Jinwu;  Li, Weisheng;  Pun, Chi Man;  Bi, Xiuli
Favorite | TC[WOS]:3 TC[Scopus]:7  IF:9.4/10.3 | Submit date：2024/05/16
Camouflaged Object Detection (Cod)  Contrastive Transformer  Defect Detection  Feature Extraction  Image Resolution  Object Detection  Polyp Segmentation  Semantic Segmentation  Semantics  Task Analysis  Transformers  
AGP-Net: Adaptive Graph Prior Network for Image Denoising Journal article
Jiang, Bo, Lu, Yao, Zhang, Bob, Lu, Guangming. AGP-Net: Adaptive Graph Prior Network for Image Denoising[J]. IEEE Transactions on Industrial Informatics, 2024, 20(3), 4753-4764.
Authors:  Jiang, Bo;  Lu, Yao;  Zhang, Bob;  Lu, Guangming
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:11.7/11.4 | Submit date：2024/02/22
Adaptive Graph Prior Network (Agp-net)  Adaptive Systems  Economic Indicators  Graph Convolutional Networks (Gcns)  Graph Noise Prior (Gnp)  Graph Supplementary Prior (Gsp)  Image Denoising  Image Reconstruction  Noise Measurement  Noise Reduction  Transformer  Transformers  
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering Journal article
Xu,Liang, Chen,Tao, Hou,Zhaoxiang, Zhang,Weishan, Hon,Chitin, Wang,Xiao, Wang,Di, Chen,Long, Zhu,Wenyin, Tian,Yunlong, Ning,Huansheng, Wang,Fei Yue. Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1), 1035-1045.
Authors:  Xu,Liang;  Chen,Tao;  Hou,Zhaoxiang;  Zhang,Weishan;  Hon,Chitin; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:4.5/4.6 | Submit date：2023/08/03
Knowledge Graph  Multitask Semantic Parsing [Msp-bidirectional And Auto-regressive Transformers (Bart)]  Prompt Learning  Question And Answering (q&a)  Reinforcement Federated Learning (Rfl)  
A 12.9-to-24 GHz Dual-Mode Multi-Coil VCO Achieving 199.2 dBc/Hz Peak FoMT in 65-nm CMOS Journal article
Zhao, Ya, Fan, Chao, Peng, Yuanxing, Liang, Chenglong, Yin, Jun, Mak, Pui In, Geng, Li. A 12.9-to-24 GHz Dual-Mode Multi-Coil VCO Achieving 199.2 dBc/Hz Peak FoMT in 65-nm CMOS[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2024, 71(5), 2604-2608.
Authors:  Zhao, Ya;  Fan, Chao;  Peng, Yuanxing;  Liang, Chenglong;  Yin, Jun; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:4.0/3.7 | Submit date：2024/05/16
Couplings  Dual-core  Dual-mode  Frequency Tuning Range (Ftr)  Inductance  Layout  Millimeter-wave (Mm-wave)  Mode-switching  Multi-coil  Phase Noise (Pn)  Transformer Cores  Transformers  Tuning  Voltage-controlled Oscillator (Vco)  Voltage-controlled Oscillators  
Power Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trends Journal article
Chen, Junyu, Hu, Haitao, Wang, Minghao, Ge, Yinbo, Wang, Ke, Huang, Yi, Yang, Kai, He, Zhengyou, Xu, Zhao, Li, Yunwei Ryan. Power Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trends[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(7), 6345 - 6365.
Authors:  Chen, Junyu;  Hu, Haitao;  Wang, Minghao;  Ge, Yinbo;  Wang, Ke; et al.
Favorite | TC[WOS]:23 TC[Scopus]:26  IF:7.9/8.3 | Submit date：2024/05/16
Electrified Railways  Energy Efficiency  Energy Efficiency  Load Flow  Load Flow Control  Market Research  Power Flow Control  Rail Transportation  Regenerative Braking Energy  Topology  Transformers