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A multi-stage stochastic dispatching method for electricity‑hydrogen integrated energy systems driven by model and data Journal article
Yang, Zhixue, Ren, Zhouyang, Li, Hui, Sun, Zhiyuan, Feng, Jianbing, Xia, Weiyi. A multi-stage stochastic dispatching method for electricity‑hydrogen integrated energy systems driven by model and data[J]. Applied Energy, 2024, 371, 123668.
Authors:  Yang, Zhixue;  Ren, Zhouyang;  Li, Hui;  Sun, Zhiyuan;  Feng, Jianbing; et al.
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:10.1/10.4 | Submit date：2024/07/04
Chance-constrained  Electricity‑hydrogen Integrated Energy Systems  Hydrogen Energy  Multi-agent Deep Reinforcement Learning  Uncertainty  
Point Cloud Compression with Implicit Neural Representations: A Unified Framework Conference paper
Ruan, Hongning, Shao, Yulin, Yang, Qianqian, Zhao, Liang, Niyato, Dusit. Point Cloud Compression with Implicit Neural Representations: A Unified Framework[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1709-1714.
Authors:  Ruan, Hongning;  Shao, Yulin;  Yang, Qianqian;  Zhao, Liang;  Niyato, Dusit
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Point Cloud Compression  Geometry  Learning Systems  Three-dimensional Displays  Quantization (Signal)  Neural Networks  Rate-distortion  Point Cloud Compression  Implicit Neural Representation  Neural Network Compression  
A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming Journal article
Bi Suzhi, Chen Haoguo, Li Xian, Wang Shuoyao, Wu Yuan, Qian Liping. A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming[J]. IEEE Transactions on Mobile Computing, 2024, 1-17.
Authors:  Bi Suzhi;  Chen Haoguo;  Li Xian;  Wang Shuoyao;  Wu Yuan; et al.
Favorite | TC[Scopus]:1  IF:7.7/6.5 | Submit date：2024/08/26
Accuracy  Adaptive Streaming  Bit Rate  Deep Reinforcement Learning  Multi-access Edge Computing  Quality Of Experience  Quality Of Experience  Real-time Systems  Resists  Streaming Media  Wireless Communication  
Optimizing job scheduling by using broad learning to predict execution times on HPC clusters Journal article
Hou, Zhengxiong, Shen, Hong, Feng, Qiying, Lv, Zhiqi, Jin, Junwei, Zhou, Xingshe, Gu, Jianhua. Optimizing job scheduling by using broad learning to predict execution times on HPC clusters[J]. CCF Transactions on High Performance Computing, 2024, 6(4), 365-377.
Authors:  Hou, Zhengxiong;  Shen, Hong;  Feng, Qiying;  Lv, Zhiqi;  Jin, Junwei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.3/1.1 | Submit date：2023/08/03
Parallel Systems  Hpc Clusters  Job Scheduling  Runtime Prediction  Broad Learning  
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning Journal article
You, Lizhao, Zhao, Xinbo, Cao, Rui, Shao, Yulin, Fu, Liqun. Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning[J]. IEEE Transactions on Mobile Computing, 2024, 23(5), 5212 - 5228.
Authors:  You, Lizhao;  Zhao, Xinbo;  Cao, Rui;  Shao, Yulin;  Fu, Liqun
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:7.7/6.5 | Submit date：2024/02/23
Atmospheric Modeling  Channel Codes  Data Models  Decoding  Federated Edge Learning  Multiple Access  Ofdm  Over-the-air Computation  Real-time Implementation  Real-time Systems  Servers  Symbols  
A Decision-Making Algorithm for Robotic Breast Ultrasound High-Quality Imaging via Broad Reinforcement Learning From Demonstration Journal article
Yao, Liang, Zhao, Baoliang, Wang, Qiong, Wang, Ziwen, Zhang, Peng, Qi, Xiaozhi, Wong, Pak Kin, Hu, Ying. A Decision-Making Algorithm for Robotic Breast Ultrasound High-Quality Imaging via Broad Reinforcement Learning From Demonstration[J]. IEEE Robotics and Automation Letters, 2024, 9(4), 3886-3893.
Authors:  Yao, Liang;  Zhao, Baoliang;  Wang, Qiong;  Wang, Ziwen;  Zhang, Peng; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:4.6/5.5 | Submit date：2024/05/02
Ai-enabled Robotics  Learning From Demonstration  Medical Robots And Systems  Reinforcement Learning  
Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems Journal article
Hu, Yunfeng, Zhang, Chong, Wang, Bo, Zhao, Jing, Gong, Xun, Gao, Jinwu, Chen, Hong. Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11(2), 344-361.
Authors:  Hu, Yunfeng;  Zhang, Chong;  Wang, Bo;  Zhao, Jing;  Gong, Xun; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:15.3/10.3 | Submit date：2024/02/22
Adaptive Control  Control System Synthesis  Data-driven Iterative Learning Control  Neurocontroller  Nonlinear Discrete Time Systems  
Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression Journal article
Duan, Junwei, Yao, Shiyi, Tan, Jiantao, Liu, Yang, Chen, Long, Zhang, Zhen, Chen, C. L.P.. Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Duan, Junwei;  Yao, Shiyi;  Tan, Jiantao;  Liu, Yang;  Chen, Long; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/05/16
Broad Learning System (Bls)  Classification  Deep Neural Network  Feature Extraction  Frequency Principle  Fuzzy Extreme Learning Machine (Elm)  Learning Systems  Mathematical Models  Neural Networks  Regression  Stacking  Task Analysis  Training  
Camera-aware Differentiated Clustering with Focal Contrastive Learning for Unsupervised Vehicle Re-Identification Journal article
Qiu, Mingkai, Lu, Yuhuan, Li, Xiying, Lu, Qiang. Camera-aware Differentiated Clustering with Focal Contrastive Learning for Unsupervised Vehicle Re-Identification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024.
Authors:  Qiu, Mingkai;  Lu, Yuhuan;  Li, Xiying;  Lu, Qiang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.3/7.1 | Submit date：2024/06/05
Cameras  Circuits And Systems  Differentiated Clustering  Focal Contrastive Learning  Intelligent Systems  Noise  Task Analysis  Training  Unsupervised Learning  Unsupervised Learning  Vehicle Re-identification  
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU Conference paper
Chen, Guanhua, Yao, Yutong, Wong, Derek F., Chao, Lidia S.. A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU[C], 2024, 1778-1788.
Authors:  Chen, Guanhua;  Yao, Yutong;  Wong, Derek F.;  Chao, Lidia S.
Favorite | TC[Scopus]:0 | Submit date：2024/07/04
Conversational Systems  Natural Language Understanding  Prediction-aware Contrastive Learning