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A GPU-accelerated Neural Networks Approximation Scheme for Heston Option Pricing Model. Conference paper
Shaowei Xu, Huanghao Chen, Yang Wang, Jerome Yen. A GPU-accelerated Neural Networks Approximation Scheme for Heston Option Pricing Model.[C], 2024.
Authors:  Shaowei Xu;  Huanghao Chen;  Yang Wang;  Jerome Yen
Adobe PDF | Favorite |  | Submit date：2024/09/12
Artificial Neural Network  Gpu Acceleration  Heston Model Acceleration  Machine Learning  
The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding Journal article
Quan, Zhibin, Vong, Chi Man, Zeng, Weili, Yang, Wankou. The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding[J]. IEEE/ACM Transactions on Audio Speech and Language Processing, 2024, 32, 1673-1686.
Authors:  Quan, Zhibin;  Vong, Chi Man;  Zeng, Weili;  Yang, Wankou
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.1/4.2 | Submit date：2024/05/16
Addressable Neural Memory  Contextualized Embedding  External Memory  Pre-trained Language Model  Representation Learning  
Physics-Informed Neural Networks for Settlement Analysis of the Immersed Tunnel of the Hong Kong-Zhuhai-Macau Bridge Journal article
He, Shu Yu, Zhou, Wan Huan, Tang, Cong. Physics-Informed Neural Networks for Settlement Analysis of the Immersed Tunnel of the Hong Kong-Zhuhai-Macau Bridge[J]. International Journal of Geomechanics, 2024, 24(1), 04023241.
Authors:  He, Shu Yu;  Zhou, Wan Huan;  Tang, Cong
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:3.3/3.5 | Submit date：2024/02/22
Foundation Modulus  Multibeam Model  Physics-informed Neural Networks  Settlement  Uncertainty Quantification  
Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs Journal article
Yin, Qilin, Lu, Wei, Cao, Xiaochun, Luo, Xiangyang, Zhou, Yicong, Huang, Jiwu. Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs[J]. International Journal of Computer Vision, 2024.
Authors:  Yin, Qilin;  Lu, Wei;  Cao, Xiaochun;  Luo, Xiangyang;  Zhou, Yicong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:11.6/14.5 | Submit date：2024/07/04
Audio-visual Model  Graph Neural Networks  Heterogeneous Graphs  Multimodal Deepfake Classification  
Robust Camera Model Identification Over Online Social Network Shared Images via Multi-Scenario Learning Journal article
Wu, Haiwei, Zhou, Jiantao, Zhang, Xinyu, Tian, Jinyu, Sun, Weiwei. Robust Camera Model Identification Over Online Social Network Shared Images via Multi-Scenario Learning[J]. IEEE Transactions on Information Forensics and Security, 2024, 19, 148-162.
Authors:  Wu, Haiwei;  Zhou, Jiantao;  Zhang, Xinyu;  Tian, Jinyu;  Sun, Weiwei
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:6.3/7.3 | Submit date：2024/05/16
Camera Model Identification  Deep Neural Networks  Online Social Networks  Robustness  
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)  
Combining dimensionality reduction methods with neural networks for realized volatility forecasting Journal article
Andrea Bucci, HE Lidan, Liu Z(劉志). Combining dimensionality reduction methods with neural networks for realized volatility forecasting[J]. Annals of Operations Research, 2023.
Authors:  Andrea Bucci;  HE Lidan;  Liu Z(劉志)
Favorite | TC[WOS]:7 TC[Scopus]:5  IF:4.4/4.4 | Submit date：2023/08/15
Realized Volatility  Artificial Neural Network  Machine-learning  Pca Method  Bayesian Model Averaging  
Neural network-based analytical solver for Fokker–Planck equation Journal article
Zhang,Yang, Zhang,Run Fa, Yuen,Ka Veng. Neural network-based analytical solver for Fokker–Planck equation[J]. Engineering Applications of Artificial Intelligence, 2023, 125, 106721.
Authors:  Zhang,Yang;  Zhang,Run Fa;  Yuen,Ka Veng
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:7.5/7.4 | Submit date：2023/08/03
Analytical Solution  Explicit Model  Fokker–planck  Neural Network  
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 New Framework of Collaborative Learning for Adaptive Metric Distillation Journal article
Liu,Hao, Ye,Mang, Wang,Yan, Zhao,Sanyuan, Li,Ping, Shen,Jianbing. A New Framework of Collaborative Learning for Adaptive Metric Distillation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 35(6), 8266-8277.
Authors:  Liu,Hao;  Ye,Mang;  Wang,Yan;  Zhao,Sanyuan;  Li,Ping; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2023/08/03
Collaborative Learning  Deep Neural Networks  Knowledge Distillation (Kd)  Model Compression