Xinyi Tong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Spiking Neural Networks

Distributed Learning

Top Venues

Publications

Weida Wang, Xinyi Tong, Xinchun Yu, Shao-Lun Huang
On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression. J. Frankl. Inst. 361 (11) (2024)
Yikai Qian, Tianle Wang, Xinyi Tong, Xin Jin, Duo Xu, Bo Zheng, Tiezheng Ge, Feng Yu, Song-Chun Zhu
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music. CoRR (2024)
Xinyi Tong, Jian Xu, Shao-Lun Huang
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang
Robust Deep Joint Source Channel Coding with Time-Varying Noise. GLOBECOM (2023)
Xinyi Tong, Tianren Peng, Shao-Lun Huang
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. ISIT (2023)
Jian Xu, Xinyi Tong, Shao-Lun Huang
Personalized Federated Learning with Feature Alignment and Classifier Collaboration. ICLR (2023)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
Robust Transfer Learning Based on Minimax Principle. Allerton (2023)
Tao Shi, Xiao Liang, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations. CoRR (2023)
Jian Xu, Xinyi Tong, Shao-Lun Huang
Personalized Federated Learning with Feature Alignment and Classifier Collaboration. CoRR (2023)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. Entropy 25 (10) (2023)
Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma
Reducing Information Loss for Spiking Neural Networks. CoRR (2023)
Xinyi Tong, Shao-Lun Huang
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. Allerton (2023)
Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang
Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. ICC (2022)
Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma
Reducing Information Loss for Spiking Neural Networks. ECCV (11) (2022)
Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. ECCV (12) (2022)
Jian Xu, Xinyi Tong, Shao-Lun Huang
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. ICC (2022)
Hui Qv, Tao Ma, Xinyi Tong, Xuhui Huang, Zhe Ma, Jiehong Feng
Clustering by centroid drift and boundary shrinkage. Pattern Recognit. 129 (2022)
Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks. CoRR (2022)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. Allerton (2022)
Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. CVPR (2022)
Xinyi Tong, Jian Xu, Shao-Lun Huang
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. ITW (2022)
Xinyi Tong, Jian Xu, Shao-Lun Huang
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. CoRR (2022)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. NeurIPS (2021)
Xinyi Tong, Jihao Yin, Bingnan Han, Hui Qv
Few-Shot Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification. ICIP (2020)
Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang
Input Perturbation: A New Paradigm between Central and Local Differential Privacy. CoRR (2020)
Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang
Differentially Private ERM Based on Data Perturbation. CoRR (2020)
Xinyi Tong, Jihao Yin, Limin Wu, Hui Qv
Global Self-Labeled Distribution Analysis for Hyperspectral Band Selection. IGARSS (2019)
Jingwen Hu, Tianbi Jiang, Xinyi Tong, Gui-Song Xia, Liangpei Zhang
A benchmark for scene classification of high spatial resolution remote sensing imagery. IGARSS (2015)