Songyang Zhang

60 papers A* 2B 5Misc 1Journal 42Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. IEEE Commun. Mag. Xiaobing Chen, Boyang Zhang, Xiangwei Zhou, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Geoffrey Ye Li
2026	J	`jnl`	FM-RME: Foundation Model Empowered Radio Map Estimation. CoRR Dong Yang, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai, Zhi Tian
2026	J	`jnl`	LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency. IEEE Trans. Neural Networks Learn. Syst. Achintha Wijesinghe, Suchinthaka Wanninayaka, Weiwei Wang, Yu-Chieh Chao, Songyang Zhang, Zhi Ding
2025	B	`conf`	DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission. GLOBECOM Fupei Guo, Hao Zheng, Xiang Zhang, Li Chen, Yue Wang, Songyang Zhang
2025	J	`jnl`	DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission. CoRR Fupei Guo, Hao Zheng, Xiang Zhang, Li Chen, Yue Wang, Songyang Zhang
2025	—	`conf`	Diff-GO ICC Suchinthaka Wanninayaka, Achintha Wijesinghe, Weiwei Wang, Yu-Chieh Chao, Songyang Zhang, Zhi Ding
2025	J	`jnl`	Diff-GO+: An Efficient Diffusion Goal-Oriented Communication System With Local Feedback. IEEE Trans. Wirel. Commun. Achintha Wijesinghe, Songyang Zhang, Suchinthaka Wanninayaka, Weiwei Wang, Zhi Ding
2025	J	`jnl`	Dual-GRE: Dual-Phase Enhancement in Radiomap Estimation Based on Graph Attention. IEEE Wirel. Commun. Lett. Yibo Ma, Yueling Zhou, Songyang Zhang, Zhi Ding
2025	A*	`conf`	DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. AAAI Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun
2025	—	`conf`	Efficient Multi-Worker Selection Based Distributed Swarm Learning via Analog Aggregation. IEEECONF Zhuoyu Yao, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai, Zhi Tian
2025	J	`jnl`	Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation. CoRR Zhuoyu Yao, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai, Zhi Tian
2025	J	`jnl`	Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. CoRR Xiaobing Chen, Boyang Zhang, Xiangwei Zhou, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Geoffrey Ye Li
2025	—	`conf`	Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications. ICC Yueling Zhou, Achintha Wijesinghe, Yue Wang, Songyang Zhang, Zhipeng Cai
2025	J	`jnl`	FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment. CoRR Boyang Zhang, Xiaobing Chen, Songyang Zhang, Shuai Zhang, Xiangwei Zhou, Mingxuan Sun
2025	—	`conf`	Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. ICC Workshops Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang, Chuan Huang
2025	J	`jnl`	Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. CoRR Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang, Chuan Huang
2025	B	`conf`	Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data. GLOBECOM Zhuoyu Yao, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai, Zhi Tian
2025	J	`jnl`	Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data. CoRR Zhuoyu Yao, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai, Zhi Tian
2025	—	`conf`	Physics-Inspired Distributed Radio Map Estimation. ICC Dong Yang, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai
2025	J	`jnl`	Physics-Inspired Distributed Radio Map Estimation. CoRR Dong Yang, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai
2025	B	`conf`	TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding. GLOBECOM Achintha Wijesinghe, Weiwei Wang, Suchinthaka Wanninayaka, Songyang Zhang, Zhi Ding
2025	J	`jnl`	TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding. CoRR Achintha Wijesinghe, Weiwei Wang, Suchinthaka Wanninayaka, Songyang Zhang, Zhi Ding
2025	J	`jnl`	Task-Adaptive Semantic Communications with Controllable Diffusion-based Data Regeneration. CoRR Fupei Guo, Achintha Wijesinghe, Songyang Zhang, Zhi Ding
2025	—	`conf`	Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications. ICC Yu-Chieh Chao, Yubei Chen, Weiwei Wang, Achintha Wijesinghe, Suchinthaka Wanninayaka, Songyang Zhang, Zhi Ding
2025	J	`jnl`	Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications. CoRR Yu-Chieh Chao, Yubei Chen, Weiwei Wang, Achintha Wijesinghe, Suchinthaka Wanninayaka, Songyang Zhang, Zhi Ding
2025	J	`jnl`	TiRE-GAN: Task-Incentivized Generative Learning for Radiomap Estimation. IEEE Wirel. Commun. Lett. Yueling Zhou, Achintha Wijesinghe, Yibo Ma, Songyang Zhang, Zhi Ding
2025	J	`jnl`	Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing. CoRR Song Gao, Shusen Jing, Shuai Zhang, Yue Wang, Xiangwei Zhou, Songyang Zhang
2024	—	`conf`	Diff-GO: Diffusion Goal-Oriented Communications with Ultra-High Spectrum Efficiency. ICC Workshops Achintha Wijesinghe, Songyang Zhang, Suchinthaka Wanninayaka, Weiwei Wang, Zhi Ding
2024	J	`jnl`	DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. CoRR Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun
2024	J	`jnl`	Efficient Eigen-Decomposition for Low-Rank Symmetric Matrices in Graph Signal Processing: An Incremental Approach. IEEE Trans. Signal Process. Qinwen Deng, Yangwen Zhang, Mo Li, Songyang Zhang, Zhi Ding
2024	A*	`conf`	FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. ICML Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang
2024	J	`jnl`	FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. CoRR Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang
2024	J	`jnl`	LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency. CoRR Achintha Wijesinghe, Suchinthaka Wanninayaka, Weiwei Wang, Yu-Chieh Chao, Songyang Zhang, Zhi Ding
2024	J	`jnl`	PS-FedGAN: An Efficient Federated Learning Framework With Strong Data Privacy. IEEE Internet Things J. Achintha Wijesinghe, Songyang Zhang, Zhi Ding
2024	J	`jnl`	Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence. IEEE Commun. Mag. Songyang Zhang, Brian Choi, Feng Ouyang, Zhi Ding
2024	J	`jnl`	RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks. IEEE Trans. Wirel. Commun. Xiaojie Li, Songyang Zhang, Hang Li, Xiaoyang Li, Lexi Xu, Haigao Xu, Hui Mei, Guangxu Zhu, Nan Qi, Ming Xiao
2024	J	`jnl`	RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks. CoRR Xiaojie Li, Songyang Zhang, Hang Li, Xiaoyang Li, Lexi Xu, Haigao Xu, Hui Mei, Guangxu Zhu, Nan Qi, Ming Xiao
2024	J	`jnl`	Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map. IEEE Trans. Wirel. Commun. Songyang Zhang, Tianhang Yu, Brian Choi, Feng Ouyang, Zhi Ding
2024	J	`jnl`	Signal Processing Over Multilayer Graphs: Theoretical Foundations and Practical Applications. IEEE Internet Things J. Songyang Zhang, Qinwen Deng, Zhi Ding
2024	—	`conf`	Split-FL: An Efficient Online Federated Learning Framework with Constrained Computation and Streaming Data. ICC Workshops Xiao Liu, Lianming Xu, Xin Wu, Songyang Zhang, Li Wang
2024	—	`conf`	UFed-GAN: Secure Federated Learning over Wireless Sensor Networks with Unlabeled Data. ICC Workshops Achintha Wijesinghe, Songyang Zhang, Siyu Qi, Zhi Ding
2023	J	`jnl`	Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency. CoRR Achintha Wijesinghe, Songyang Zhang, Suchinthaka Wanninayaka, Weiwei Wang, Zhi Ding
2023	J	`jnl`	PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning. CoRR Achintha Wijesinghe, Songyang Zhang, Zhi Ding
2023	J	`jnl`	PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy. CoRR Achintha Wijesinghe, Songyang Zhang, Zhi Ding
2023	J	`jnl`	RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network. IEEE Internet Things J. Songyang Zhang, Achintha Wijesinghe, Zhi Ding
2023	J	`jnl`	UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data. CoRR Achintha Wijesinghe, Songyang Zhang, Siyu Qi, Zhi Ding
2022	J	`jnl`	An Efficient Hypergraph Approach to Robust Point Cloud Resampling. IEEE Trans. Image Process. Qinwen Deng, Songyang Zhang, Zhi Ding
2022	B	`conf`	Exemplar-Based Radio Map Reconstruction of Missing Areas Using Propagation Priority. GLOBECOM Songyang Zhang, Tianhang Yu, Jonathan Tivald, Brian Choi, Feng Ouyang, Zhi Ding
2022	J	`jnl`	Multilayer graph spectral analysis for hyperspectral images. EURASIP J. Adv. Signal Process. Songyang Zhang, Qinwen Deng, Zhi Ding
2021	J	`jnl`	An Efficient Hypergraph Approach to Robust Point Cloud Resampling. CoRR Qinwen Deng, Songyang Zhang, Zhi Ding
2021	J	`jnl`	Hypergraph Spectral Analysis and Processing in 3D Point Cloud. IEEE Trans. Image Process. Songyang Zhang, Shuguang Cui, Zhi Ding
2021	J	`jnl`	Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks. CoRR Songyang Zhang, Qinwen Deng, Zhi Ding
2021	J	`jnl`	Point Cloud Resampling via Hypergraph Signal Processing. IEEE Signal Process. Lett. Qinwen Deng, Songyang Zhang, Zhi Ding
2020	J	`jnl`	From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation. CoRR Songyang Zhang, Han Zhang, Shuguang Cui, Zhi Ding
2020	J	`jnl`	Hypergraph Spectral Analysis and Processing in 3D Point Cloud. CoRR Songyang Zhang, Shuguang Cui, Zhi Ding
2020	J	`jnl`	Hypergraph Spectral Clustering for Point Cloud Segmentation. IEEE Signal Process. Lett. Songyang Zhang, Shuguang Cui, Zhi Ding
2020	B	`conf`	Hypergraph-Based Image Processing. ICIP Songyang Zhang, Shuguang Cui, Zhi Ding
2020	J	`jnl`	Introducing Hypergraph Signal Processing: Theoretical Foundation and Practical Applications. IEEE Internet Things J. Songyang Zhang, Zhi Ding, Shuguang Cui
2020	Misc	`conf`	Point Cloud Segmentation based on Hypergraph Spectral Clustering. ITA Songyang Zhang, Shuguang Cui, Zhi Ding
2018	—	`conf`	Tensor-based Spectral Analysis of Cascading Failures over Multilayer Complex Systems. Allerton Songyang Zhang, Han Zhang, Hang Li, Shuguang Cui