Xinyi Tong - researchr alias

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Viewing Publication 1 - 18 from 18

2023

An Information Theoretic Approach for Collaborative Distributed Parameter EstimationXinyi Tong, Tianren Peng, Shao-Lun Huang. isit 2023: 1878-1883 [doi]

Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN ChannelsXinyi Tong, Shao-Lun Huang. allerton 2023: 1-7 [doi]

Robust Transfer Learning Based on Minimax PrincipleXinyi Tong, Xiangxiang Xu 0001, Shao-Lun Huang, Lizhong Zheng. allerton 2023: 1-7 [doi]

On the Optimal Error Exponent of Type-Based Distributed Hypothesis TestingXinyi Tong, Xiangxiang Xu 0001, Shao-Lun Huang. entropy, 25(10):1434, October 2023. [doi]

Robust Deep Joint Source Channel Coding with Time-Varying NoiseWeida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang. globecom 2023: 5665-5670 [doi]

Personalized Federated Learning with Feature Alignment and Classifier CollaborationJian Xu, Xinyi Tong, Shao-Lun Huang. iclr 2023: [doi]

2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural NetworksYufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang. cvpr 2022: 326-335 [doi]

Reducing Information Loss for Spiking Neural NetworksYufei Guo, Yuanpei Chen, Liwen Zhang, Yinglei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma. eccv 2022: 36-52 [doi]

Real Spike: Learning Real-Valued Spikes for Spiking Neural NetworksYufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, Yinglei Wang, Xuhui Huang, Zhe Ma. eccv 2022: 52-68 [doi]

Clustering by centroid drift and boundary shrinkageHui Qv, Tao Ma, Xinyi Tong, Xuhui Huang, Zhe Ma, Jiehong Feng. PR, 129:108745, 2022. [doi]

An Information-theoretic Method for Collaborative Distributed Learning with Limited CommunicationXinyi Tong, Jian Xu, Shao-Lun Huang. itw 2022: 49-54 [doi]

On Sample Complexity of Learning Shared Representations: The Asymptotic RegimeXinyi Tong, Xiangxiang Xu 0001, Shao-Lun Huang. allerton 2022: 1-8 [doi]

Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted WorkersJian Xu, Xinyi Tong, Shao-Lun Huang. icc 2022: 5415-5420 [doi]

Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel InterferenceZiyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu 0001, Shao-Lun Huang. icc 2022: 2609-2614 [doi]

2021

A Mathematical Framework for Quantifying Transferability in Multi-source Transfer LearningXinyi Tong, Xiangxiang Xu 0001, Shao-Lun Huang, Lizhong Zheng. nips 2021: 26103-26116 [doi]

2020

Few-Shot Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image ClassificationXinyi Tong, Jihao Yin, Bingnan Han, Hui Qv. icip 2020: 1686-1690 [doi]

2019

Global Self-Labeled Distribution Analysis for Hyperspectral Band SelectionXinyi Tong, Jihao Yin, Limin Wu, Hui Qv. igarss 2019: 3792-3795 [doi]

2015

A benchmark for scene classification of high spatial resolution remote sensing imageryJingwen Hu, Tianbi Jiang, Xinyi Tong, Gui-Song Xia, Liangpei Zhang. igarss 2015: 5003-5006 [doi]

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