Xinyi Tong

According to our database, Xinyi Tong authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics.

Xinyi Tong, Jian Xu, Shao-Lun Huang

IEEE J. Sel. Areas Inf. Theory, 2024

On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression.

Weida Wang, Xinyi Tong, Xinchun Yu, Shao-Lun Huang

J. Frankl. Inst., 2024

Evolutionary Greedy Algorithm for Optimal Sensor Placement Problem in Urban Sewage Surveillance.

Sunyu Wang, Yutong Xia, Huanfa Chen, Xinyi Tong, Yulun Zhou

CoRR, 2024

Global High Categorical Resolution Land Cover Mapping via Weak Supervision.

Xin-Yi Tong, Runmin Dong, Xiao Xiang Zhu

CoRR, 2024

MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music.

Yikai Qian, Tianle Wang, Xinyi Tong, Xin Jin, Duo Xu, Bo Zheng, Tiezheng Ge, Feng Yu, Song-Chun Zhu

CoRR, 2024

CodeSwap: Symmetrically Face Swapping Based on Prior Codebook.

Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space.

Tianren Peng, Xinyi Tong, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang

Entropy, October, 2023

SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations.

Tao Shi, Xiao Liang, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang

CoRR, 2023

Reducing Information Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

CoRR, 2023

An Information Theoretic Approach for Collaborative Distributed Parameter Estimation.

Xinyi Tong, Tianren Peng, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2023

Personalized Federated Learning with Feature Alignment and Classifier Collaboration.

Jian Xu, Xinyi Tong, Shao-Lun Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation.

Runmin Dong, Lichao Mou, Mengxuan Chen, Weijia Li, Xin-Yi Tong, Shuai Yuan, Lixian Zhang, Juepeng Zheng, Xiao Xiang Zhu, Haohuan Fu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robust Deep Joint Source Channel Coding with Time-Varying Noise.

Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang

Proceedings of the IEEE Global Communications Conference, 2023

Robust Transfer Learning Based on Minimax Principle.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels.

Xinyi Tong, Shao-Lun Huang

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images.

Kunping Yang, Xin-Yi Tong, Gui-Song Xia, Weiming Shen, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Clustering by centroid drift and boundary shrinkage.

Hui Qv, Tao Ma, Xinyi Tong, Xuhui Huang, Zhe Ma, Jiehong Feng

Pattern Recognit., 2022

Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery.

Xin-Yi Tong, Gui-Song Xia, Xiao Xiang Zhu

CoRR, 2022

An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication.

Xinyi Tong, Jian Xu, Shao-Lun Huang

Proceedings of the IEEE Information Theory Workshop, 2022

Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference.

Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang

Proceedings of the IEEE International Conference on Communications, 2022

Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers.

Jian Xu, Xinyi Tong, Shao-Lun Huang

Proceedings of the IEEE International Conference on Communications, 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.

Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.

Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On Sample Complexity of Learning Shared Representations: The Asymptotic Regime.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation.

Xin-Yi Tong, Gui-Song Xia, Fan Hu, Yanfei Zhong, Mihai Datcu, Liangpei Zhang

IEEE Trans. Big Data, 2020

Differentially Private ERM Based on Data Perturbation.

Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang

CoRR, 2020

Input Perturbation: A New Paradigm between Central and Local Differential Privacy.

Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang

CoRR, 2020

Few-Shot Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification.

Xinyi Tong, Jihao Yin, Bingnan Han, Hui Qv

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Global Self-Labeled Distribution Analysis for Hyperspectral Band Selection.

Xinyi Tong, Jihao Yin, Limin Wu, Hui Qv

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images.

Xin-Yi Tong, Gui-Song Xia, Qikai Lu, Huanfeng Shen, Shengyang Li, Shucheng You, Liangpei Zhang

CoRR, 2018

Large-Scale Land Cover Classification in Gaofen-2 Satellite Imagery.

Xin-Yi Tong, Qikai Lu, Gui-Song Xia, Liangpei Zhang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2015

A benchmark for scene classification of high spatial resolution remote sensing imagery.

Jingwen Hu, Tianbi Jiang, Xinyi Tong, Gui-Song Xia, Liangpei Zhang

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015