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Works (16)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning

IEEE Transactions on Neural Networks and Learning Systems
2025-02 | Journal article
DOI: 10.1109/TNNLS.2024.3358094
Contributors: Yang Tan; Enming Zhang; Yang Li; Shao-Lun Huang; Xiao-Ping Zhang
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Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices

IEEE Journal of Selected Topics in Signal Processing
2025-01 | Journal article
DOI: 10.1109/JSTSP.2024.3497660
Contributors: Jian Xu; Shuo Wan; Yinchuan Li; Sichun Luo; Zhilin Chen; Yunfeng Shao; Zhitang Chen; Shao-Lun Huang; Linqi Song
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Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge

IEEE Journal of Selected Topics in Signal Processing
2025-01 | Journal article
DOI: 10.1109/JSTSP.2024.3434498
Contributors: Jingge Wang; Liyan Xie; Yao Xie; Shao-Lun Huang; Yang Li
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MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2024 | Journal article
DOI: 10.1109/JSTARS.2024.3448430
Contributors: Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu
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On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics

IEEE Journal on Selected Areas in Information Theory
2024 | Journal article
DOI: 10.1109/JSAIT.2024.3409426
Contributors: Xinyi Tong; Jian Xu; Shao-Lun Huang
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On the rate–distortion–perception–semantics tradeoff in low-rate regime for lossy compression

Journal of the Franklin Institute
2024-07 | Journal article
DOI: 10.1016/j.jfranklin.2024.106873
Contributors: Weida Wang; Xinyi Tong; Xinchun Yu; Shao-Lun Huang
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LUNA: Language as Continuing Anchors for Referring Expression Comprehension

2023-10-26 | Conference paper
DOI: 10.1145/3581783.3612584
Contributors: Yaoyuan Liang; Zhao Yang; Yansong Tang; Jiashuo Fan; Ziran Li; Jingang Wang; Philip H.S. Torr; Shao-Lun Huang
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A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning

2023-10-21 | Conference paper
DOI: 10.1145/3583780.3615173
Contributors: Jian Xu; Shao-Lun Huang
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On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing

Entropy
2023-10-10 | Journal article
DOI: 10.3390/e25101434
Contributors: Xinyi Tong; Xiangxiang Xu; Shao-Lun Huang
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Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation

IEEE Transactions on Games
2023-06 | Journal article
DOI: 10.1109/TG.2022.3159704
Contributors: Zelong Yang; Yan Wang; Piji Li; Shaobin Lin; Shuming Shi; Shao-Lun Huang; Wei Bi
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Interpretable Real-Time Win Prediction for Honor of Kings—A Popular Mobile MOBA Esport

IEEE Transactions on Games
2022-12 | Journal article
DOI: 10.1109/TG.2022.3149044
Contributors: Zelong Yang; Zhufeng Pan; Yan Wang; Deng Cai; Shuming Shi; Shao-Lun Huang; Wei Bi; Xiaojiang Liu
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On the Universally Optimal Activation Function for a Class of Residual Neural Networks

AppliedMath
2022-10-16 | Journal article
DOI: 10.3390/appliedmath2040033
Contributors: Feng Zhao; Shao-Lun Huang
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AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning

IEEE Journal on Selected Areas in Communications
2022-09 | Journal article
DOI: 10.1109/JSAC.2022.3192050
Contributors: Guangfeng Yan; Tan Li; Shao-Lun Huang; Tian Lan; Linqi Song
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On Distributed Learning With Constant Communication Bits

IEEE Journal on Selected Areas in Information Theory
2022-03 | Journal article
DOI: 10.1109/JSAIT.2022.3157797
Contributors: Xiangxiang Xu; Shao-Lun Huang
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An Information Theoretic Interpretation to Deep Neural Networks

Entropy
2022-01-17 | Journal article
DOI: 10.3390/e24010135
Contributors: Xiangxiang Xu; Shao-Lun Huang; Lizhong Zheng; Gregory W. Wornell
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An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

IEEE Journal on Selected Areas in Information Theory
2020-05 | Journal article
DOI: 10.1109/JSAIT.2020.2981538
Contributors: Shao-Lun Huang; Xiangxiang Xu; Lizhong Zheng
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