UM

Browse/Search Results:  1-10 of 12 Help

Selected(0)Clear Items/Page:    Sort:
QUART: Latency-Aware FaaS System for Pipelining Large Model Inference Conference paper
Lin, Yanying, Li, Yanbo, Peng, Shijie, Tang, Yingfei, Luo, Shutian, Shen, Haiying, Xu, Chengzhong, Ye, Kejiang. QUART: Latency-Aware FaaS System for Pipelining Large Model Inference[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Lin, Yanying;  Li, Yanbo;  Peng, Shijie;  Tang, Yingfei;  Luo, Shutian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2024/10/10
Processor Scheduling  Computational Modeling  Tail  Position Measurement  Resource Management  Low Latency Communication  Distributed Computing  Pipeline Inference  Large Model  Serverless  Latency Aware  
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  
Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels Journal article
Chi, Yingtian, Hu, Qiang, Lin, Jin, Qiu, Yiwei, Mu, Shujun, Li, Wenying, Song, Yonghua. Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels[J]. Journal of Power Sources, 2023, 553.
Authors:  Chi, Yingtian;  Hu, Qiang;  Lin, Jin;  Qiu, Yiwei;  Mu, Shujun; et al.
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:8.1/8.3 | Submit date:2023/02/08
3d Multiphysics Model  Adaptive Polynomial Approximation  Computational Cost  Data-driven  Flat-chip Solid Oxide Cell  
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution Journal article
Li,Wenjie, Li,Juncheng, Gao,Guangwei, Deng,Weihong, Zhou,Jiantao, Yang,Jian, Qi,Guo Jun. Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution[J]. IEEE Transactions on Multimedia, 2023, 26, 864-877.
Authors:  Li,Wenjie;  Li,Juncheng;  Gao,Guangwei;  Deng,Weihong;  Zhou,Jiantao; et al.
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:8.4/8.0 | Submit date:2023/08/03
Adaptation Models  Computational Modeling  Computed Tomography  Contextual Information  Convolution  Cross-receptive  Efficient Model  Feature Extraction  Sisr  Task Analysis  Transformers  
Parameter-Free Robust Ensemble Framework of Fuzzy Clustering Journal article
Shi,Zhaoyin, Chen,Long, Ding,Weiping, Zhang,Chuanbin, Wang,Yingxu. Parameter-Free Robust Ensemble Framework of Fuzzy Clustering[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(12), 4205-4219.
Authors:  Shi,Zhaoyin;  Chen,Long;  Ding,Weiping;  Zhang,Chuanbin;  Wang,Yingxu
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:10.7/9.7 | Submit date:2023/08/03
Clustering Algorithms  Clustering Ensemble  Computational Efficiency  Costs  Fluctuations  Fuzzy Clustering  Latent Information  Matrix Decomposition  Optimization  Parameter-free Model  Spectral Feature  Tensors  
A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit Journal article
Zhu, Guangyu, Yang, Yubo, Sun, Ranran, Wu, Edmond Q., Law, Rob. A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit[J]. IEEE Transactions on Computational Social Systems, 2022, 11(1), 746-755.
Authors:  Zhu, Guangyu;  Yang, Yubo;  Sun, Ranran;  Wu, Edmond Q.;  Law, Rob
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:4.5/4.6 | Submit date:2023/01/30
Analytical Models  Biological System Modeling  Computational Modeling  Entropy  Mathematical Models  Normal Cloud Model  Numerical Models  Operation State Perception  Similarity Measure  Uncertainty  Urban Rail Transit  Weight Measurement  
Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem Journal article
Li, Ben Zheng, Pun, Sio Hang, Vai, Mang I., Lei, Tim C., Klug, Achim. Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem[J]. Frontiers in Neuroscience, 2022, 16(840983).
Authors:  Li, Ben Zheng;  Pun, Sio Hang;  Vai, Mang I.;  Lei, Tim C.;  Klug, Achim
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date:2022/05/13
Sound Localization  Auditory Brainstem  Medial Superior Olive  Myelin Alteration  Interaural Time Difference  Spiking Neural Network  Computational Model  
Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem Journal article
Ben-Zheng Li, Sio Hang Pun, Mang I Vai, Tim C Lei, Achim Klug. Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem[J]. Front Neurosci, 2022, 16, 840983.
Authors:  Ben-Zheng Li;  Sio Hang Pun;  Mang I Vai;  Tim C Lei;  Achim Klug
Favorite |  | Submit date:2022/08/07
Sound Localization  Auditory Brainstem  Medial Superior Olive  Myelin Alteration  Interaural Time Difference  Spiking Neural Network  Computational Model  
A self-consistent approach to the one-dimensional chain models for the ferro- and antiferro-magnetism of nanotubes Journal article
Zhaosen Liu, Hou Ian. A self-consistent approach to the one-dimensional chain models for the ferro- and antiferro-magnetism of nanotubes[J]. Mesoscale and Nanoscale Physics, 2015.
Authors:  Zhaosen Liu;  Hou Ian
Favorite |  | Submit date:2019/04/16
Nanomagnet  Quantum Simulation Model  Computational Algorithms  Magnetic Properties  Nanotubes  
Secure and efficient proxy signature scheme in the standard model Journal article
Gu K., Jia W., Chen R., Liu X.. Secure and efficient proxy signature scheme in the standard model[J]. Chinese Journal of Electronics, 2013, 22(4), 666-670.
Authors:  Gu K.;  Jia W.;  Chen R.;  Liu X.
Favorite |  | Submit date:2019/02/11
Computational diffle-hellman (cdh) assumption  Efficiency  Provable security  Proxy signature  Security model