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Hao Song

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A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures

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Mar 24, 2024
Hao Song, Jiacheng Yao, Zhengxi Li, Shaocong Xu, Shibo Jin, Jiajun Zhou, Chenbo Fu, Qi Xuan, Shanqing Yu

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EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning

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Mar 24, 2024
Lijin Wu, Shanshan Lei, Feilong Liao, Yuanjun Zheng, Yuxin Liu, Wentao Fu, Hao Song, Jiajun Zhou

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Target Recognition Algorithm for Monitoring Images in Electric Power Construction Process

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Feb 09, 2024
Hao Song, Wei Lin, Wei Song, Man Wang

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Classifier Calibration: How to assess and improve predicted class probabilities: a survey

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Dec 20, 2021
Telmo Silva Filho, Hao Song, Miquel Perello-Nieto, Raul Santos-Rodriguez, Meelis Kull, Peter Flach

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Turbulence-Resilient Coherent Free-Space Optical Communications using Automatic Power-Efficient Pilot-Assisted Optoelectronic Beam Mixing of Many Modes

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Jan 25, 2021
Runzhou Zhang, Nanzhe Hu, Huibin Zhou, Kaiheng Zou, Xinzhou Su, Yiyu Zhou, Haoqian Song, Kai Pang, Hao Song, Amir Minoofar, Zhe Zhao, Cong Liu, Karapet Manukyan, Ahmed Almaiman, Brittany Lynn, Robert W. Boyd, Moshe Tur, Alan E. Willner

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A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection

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Jan 06, 2020
Pei Xu, Shan Huang, Hongzhen Wang, Hao Song, Shen Huang, Qi Ju

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Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

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Oct 28, 2019
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach

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HyperStream: a Workflow Engine for Streaming Data

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Aug 07, 2019
Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perello-Nieto, Emma Tonkin, Peter Flach

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Distribution Calibration for Regression

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May 15, 2019
Hao Song, Tom Diethe, Meelis Kull, Peter Flach

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Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach

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Oct 28, 2018
Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu

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