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PeerSynergy: An Innovative Application Applying Large Language Model to Peer Instruction Conference paper
Sam Ka Lok, Un-San Ieong, Miguel Gomes da Costa Junior. PeerSynergy: An Innovative Application Applying Large Language Model to Peer Instruction[C]:IEEE, 2024.
Authors:  Sam Ka Lok;  Un-San Ieong;  Miguel Gomes da Costa Junior
Favorite |  | Submit date：2025/01/10
Generative Artificial Intelligence  Large Language Models  Active Learning  Peer Instruction Methodology  
Deterministic Policy Gradient based Reinforcement Learning for Current Control of Hybrid Active Power Filter Conference paper
Gong, Cheng, Leong, Chio Hong, Lam, Chi Seng. Deterministic Policy Gradient based Reinforcement Learning for Current Control of Hybrid Active Power Filter[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Gong, Cheng;  Leong, Chio Hong;  Lam, Chi Seng
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Deterministic Policy Gradient  Hybrid Active Power Filter  Power Quality  Reinforcement Learning  
Deep Active Learning with Noise Stability Conference paper
Li, Xingjian, Yang, Pengkun, Gu, Yangcheng, Zhan, Xueying, Wang, Tianyang, Xu, Min, Xu, Chengzhong. Deep Active Learning with Noise Stability[C]:Association for the Advancement of Artificial Intelligence, 2024, 13655-13663.
Authors:  Li, Xingjian;  Yang, Pengkun;  Gu, Yangcheng;  Zhan, Xueying;  Wang, Tianyang; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5 | Submit date：2024/05/16
Ml: Active Learning  Ml: Deep Learning Algorithms  
Active Discovering New Slots for Task-Oriented Conversation Journal article
Wu, Yuxia, Dai, Tianhao, Zheng, Zhedong, Liao, Lizi. Active Discovering New Slots for Task-Oriented Conversation[J]. IEEE-ACM Transactions on Audio Speech and Language Processing, 2024, 32, 2062-2072.
Authors:  Wu, Yuxia;  Dai, Tianhao;  Zheng, Zhedong;  Liao, Lizi
Favorite | TC[WOS]:0 TC[Scopus]:3  IF:4.1/4.2 | Submit date：2024/04/10
New Slot Discovery  Task-oriented Conversation  Active Learning  Language Processing  
Learning from Incorrectness: Active Learning with Negative Pre-Training and Curriculum Querying for Histological Tissue Classification Journal article
Hu, Wentao, Cheng, Lianglun, Huang, Guoheng, Yuan, Xiaochen, Zhong, Guo, Pun, Chi Man, Zhou, Jian, Cai, Muyan. Learning from Incorrectness: Active Learning with Negative Pre-Training and Curriculum Querying for Histological Tissue Classification[J]. IEEE Transactions on Medical Imaging, 2024, 43(2), 625-637.
Authors:  Hu, Wentao;  Cheng, Lianglun;  Huang, Guoheng;  Yuan, Xiaochen;  Zhong, Guo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.9/11.3 | Submit date：2024/02/22
Active Learning  Negative Learning  Curriculum Learning  Histological Tissue Classification  
Efficient constraint learning for data-driven active distribution network operation Journal article
Ge Chen, Hongcai Zhang, Yonghua Song. Efficient constraint learning for data-driven active distribution network operation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1472-1484.
Authors:  Ge Chen;  Hongcai Zhang;  Yonghua Song
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:6.5/7.4 | Submit date：2023/07/12
Active Distribution Networks  Deep Learning  Renewable Generation  Optimal Power Flow  Flexible Sources  
AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets Journal article
Hu, Xikun, Liu, Wenlin, Wen, Hao, Yuen, Ka Veng, Jin, Tian, Junior, Alberto Costa Nogueira, Zhong, Ping. AF-Net: An Active Fire Detection Model Using Improved Object-Contextual Representations on Unbalanced UAV Datasets[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 13558-13569.
Authors:  Hu, Xikun;  Liu, Wenlin;  Wen, Hao;  Yuen, Ka Veng;  Jin, Tian; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:4.7/5.0 | Submit date：2024/07/04
Active Fire (Af) Detection  Deep Learning  Object-contextual Representation (Ocr)  Self-attention  Semantic Segmentation  Very High-resolution (Vhr) Aerial Data  
Active learning aided Bayesian nonparametric general regression for model updating using modal data Journal article
Zhang, Wen Jing, Yuen, Ka Veng, Yan, Wang Ji. Active learning aided Bayesian nonparametric general regression for model updating using modal data[J]. Mechanical Systems and Signal Processing, 2023, 204, 110830.
Authors:  Zhang, Wen Jing;  Yuen, Ka Veng;  Yan, Wang Ji
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.9/8.0 | Submit date：2024/01/02
Active Learning  General Regression  Model Updating  Nonparametric Mapping  Shared Optimal Scaling Parameter  
Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning Conference paper
Estermann, Benjamin, Kramer, Stefan, Wattenhofer, Roger, Wang, Ye. Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning[C], Richland, SC:International Foundation for Autonomous Agents and Multiagent Systems, 2023, 2919 - 2921.
Authors:  Estermann, Benjamin;  Kramer, Stefan;  Wattenhofer, Roger;  Wang, Ye
Favorite | TC[Scopus]:0 | Submit date：2023/08/08
Active Learning For Regression  Deep Learning  Combinatorial Auctions  
CTLE Professional Development Workshop ‘Promoting active learning and student engagement in learning-centered teaching’ Presentation
报告日期: 2023-03-08
Authors:  Katrine K. Wong
Favorite |  | Submit date：2024/08/20
Student Engagement  Active Learning