Linshan Jiang - RankMe

73 papers A* 10A 3B 7C 2Misc 3Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model Licensing. WWW Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He
2026	J	`jnl`	FWeb3: A Practical Incentive-Aware Federated Learning Framework. CoRR Peishen Yan, Shuang Liang, Yang Hua, Linshan Jiang, Kuai Yu, Yulin Sun, Yaozhi Zhang, Tao Song, Ningxin Hu, Xinran Liang, Bingsheng He, Haibing Guan
2026	A*	`conf`	MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices. WWW Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng
2026	J	`jnl`	Prior knowledge-guided multimodal deep learning system for biomarker exploration and prognosis prediction of urothelial carcinoma. npj Digit. Medicine Quanhao He, Hao Tan, Bangxin Xiao, Yiwen Tan, Xiang Peng, Canjie Peng, Xiaofeng Yue, Linshan Jiang, Youde Cao, Fajin Lv, Wenlong Zhao, Hongmei Yi, Yingjia Liu, Weiyang He, Mingzhao Xiao
2026	J	`jnl`	SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version). CoRR Shuang Liang, Yang Hua, Linshan Jiang, Peishen Yan, Tao Song, Bin Yao, Haibing Guan
2025	J	`jnl`	A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization. CoRR Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu
2025	J	`jnl`	Automatic Pruning via Structured Lasso with Class-wise Information. CoRR Xiang Liu, Mingchen Li, Xia Li, Leigang Qu, Zifan Peng, Yijun Song, Zemin Liu, Linshan Jiang, Jialin Li
2025	A*	`conf`	Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks. IJCAI Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng
2025	A*	`conf`	ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. IJCAI Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng
2025	J	`jnl`	ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. CoRR Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng
2025	J	`jnl`	Edge Intelligence with Spiking Neural Networks. CoRR Shuiguang Deng, Di Yu, Changze Lv, Xin Du, Linshan Jiang, Xiaofan Zhao, Wentao Tong, Xiaoqing Zheng, Weijia Fang, Peng Zhao, Gang Pan, Schahram Dustdar, Albert Y. Zomaya
2025	A	`conf`	Efficient Partitioning Vision Transformer on Edge Devices for Distributed Inference. ICDCS Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li
2025	A*	`conf`	Exploiting Label Skewness for Spiking Neural Networks in Federated Learning. IJCAI Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng
2025	B	`conf`	FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios. ICPP Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu
2025	J	`jnl`	FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios. CoRR Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu
2025	C	`conf`	GrainSegNet: Towards Effective and Efficient Material Microstructure Segmentation. INDIN Ruoyu Tian, Xuecheng Zhang, Sen Liu, Yingyao Wang, Chaojie Gu, Yuefei Zhang, Linshan Jiang
2025	A*	`conf`	HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system. IJCAI Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu
2025	J	`jnl`	Hypernetworks for Model-Heterogeneous Personalized Federated Learning. CoRR Chen Zhang, Husheng Li, Xiang Liu, Linshan Jiang, Danxin Wang
2025	J	`jnl`	NF-SecRIS: RIS-Assisted Near-Field Physical Layer Security via Secure Location Modulation. CoRR Zhendong Wang, Chenyang Meng, Jun Yang, Jiayuan Wang, Yin Li, Linshan Jiang, Jin Zhang
2025	A*	`conf`	One-shot Federated Learning Methods: A Practical Guide. IJCAI Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025	J	`jnl`	One-shot Federated Learning Methods: A Practical Guide. CoRR Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025	J	`jnl`	POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning. CoRR Kuai Yu, Xiaoyu Wu, Peishen Yan, Qingqian Yang, Linshan Jiang, Hao Wang, Yang Hua, Tao Song, Haibing Guan
2025	J	`jnl`	QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs. IEEE J. Sel. Areas Commun. Dehui Wei, Jiao Zhang, Xiang Liu, Haozhe Li, Zhichen Xue, Tao Huang, Linshan Jiang, Jialin Li
2025	J	`jnl`	RoboCam: Model-Based Robotic Visual Sensing for Precise Inspection of Mesh Screens. ACM Trans. Sens. Networks Siyuan Zhou, Duc Van Le, Linshan Jiang, Zhuoran Chen, Xiaohua Peng, Daren Ho, Jianmin Zheng, Rui Tan
2025	J	`jnl`	SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network. CoRR Huijing Zhang, Muyang Cao, Linshan Jiang, Xin Du, Di Yu, Changze Lv, Shuiguang Deng
2025	J	`jnl`	SNN-IoT: Efficient Partitioning and Enabling of Deep Spiking Neural Networks in IoT Services. IEEE Trans. Serv. Comput. Xin Du, Wentao Tong, Linshan Jiang, Di Yu, Zhiliang Wu, Qiang Duan, Shuiguang Deng
2025	J	`jnl`	Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System. CoRR Xiang Liu, Zhanpeng Guo, Liangxi Liu, Mengyao Zheng, Yiming Qiu, Linshan Jiang
2024	J	`jnl`	"They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing. CoRR Moming Duan, Rui Zhao, Linshan Jiang, Nigel Shadbolt, Bingsheng He
2024	A*	`conf`	EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices. IJCAI Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng
2024	J	`jnl`	ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices. CoRR Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li
2024	J	`jnl`	Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey. IEEE Internet Things J. Qipeng Xie, Siyang Jiang, Linshan Jiang, Yongzhi Huang, Zhihe Zhao, Salabat Khan, Wangchen Dai, Zhe Liu, Kaishun Wu
2024	J	`jnl`	FedLEC: Effective Federated Learning Algorithm with Spiking Neural Networks Under Label Skews. CoRR Di Yu, Xin Du, Linshan Jiang, Shunwen Bai, Wentao Tong, Shuiguang Deng
2024	A*	`conf`	FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. NeurIPS Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
2024	—	`conf`	FusionFrame: A Fusion Dataflow Scheduling Framework for DNN Accelerators via Analytical Modeling. ICA3PP (6) Liutao Zheng, Huiying Lan, Xiang Liu, Linshan Jiang, Xuehai Zhou
2024	—	`conf`	High Performance Computing Framework for Variable Selection on Genome-wide Association Studies. BIBM Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Dehui Wei, Qipeng Xie, Xia Li, Linshan Jiang
2024	B	`conf`	LiteCrypt: Enhancing IoMT Security with Optimized HE and Lightweight Dual-Authorization. ICPADS Qipeng Xie, Weizheng Wang, Yongzhi Huang, Mengyao Zheng, Shuai Shang, Linshan Jiang, Salabat Khan, Kaishun Wu
2024	—	`conf`	Novel Truncated-rank Graph-structured and Tree-guided Sparse Linear Mixed Models for Variable Selection on Genome-wide Association Studies. BIBM Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Yongyi Xie, Kang Lai, Xiao Geng, Yijun Song, Linshan Jiang
2024	J	`jnl`	OFL-W3: A One-shot Federated Learning System on Web 3.0. CoRR Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song
2024	J	`jnl`	OFL-W3: A One-shot Federated Learning System on Web 3.0. Proc. VLDB Endow. Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song
2024	—	`conf`	Poster Abstract: Threshold Cryptography-based Authentication Protocol for Remote Healthcare. IPSN Qipeng Xie, Zhihe Zhao, Linshan Jiang, Siyang Jiang, Salabat Khan, Weizheng Wang, Kaishun Wu
2024	A*	`conf`	Practical Hybrid Gradient Compression for Federated Learning Systems. IJCAI Sixu Hu, Linshan Jiang, Bingsheng He
2023	J	`jnl`	Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". IEEE Internet Things J. Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu
2023	J	`jnl`	FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. CoRR Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
2023	Misc	`conf`	Poster Abstract: CNN-guardian: Secure Neural Network Inference Acceleration on Edge GPU. SenSys Qipeng Xie, Hao Yang, Linshan Jiang, Zhihe Zhao, Siyang Jiang, Shiyu Shen, Salabat Khan, Zhe Liu, Kaishun Wu
2022	J	`jnl`	Attack-aware Synchronization-free Data Timestamping in LoRaWAN. ACM Trans. Sens. Networks Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang
2022	J	`jnl`	ILLOC: In-Hall Localization with Standard LoRaWAN Uplink Frames. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Dongfang Guo, Chaojie Gu, Linshan Jiang, Wenjie Luo, Rui Tan
2022	—	`—`	Lightweight privacy preservation techniques for deep learning and inference in Internet of Things Linshan Jiang
2022	Misc	`conf`	PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference. SenSys Linshan Jiang, Qun Song, Rui Tan, Mo Li
2022	J	`jnl`	PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference. CoRR Linshan Jiang, Qun Song, Rui Tan, Mo Li
2021	B	`conf`	An Electromagnetic Covert Channel based on Neural Network Architecture. ICPADS Chaojie Gu, JiaLe Chen, Rui Tan, Linshan Jiang
2021	J	`jnl`	Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN. CoRR Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang
2021	J	`jnl`	On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections. ACM Trans. Internet Things Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin
2021	J	`jnl`	Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu
2020	A	`conf`	Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN. ICDCS Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang
2020	J	`jnl`	Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference. IEEE Internet Things J. Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng
2020	J	`jnl`	On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections. CoRR Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin
2020	J	`jnl`	Resilience Bounds of Network Clock Synchronization with Fault Correction. CoRR Linshan Jiang, Rui Tan, Arvind Easwaran
2020	J	`jnl`	Resilience Bounds of Network Clock Synchronization with Fault Correction. ACM Trans. Sens. Networks Linshan Jiang, Rui Tan, Arvind Easwaran
2019	J	`jnl`	Challenges of Privacy-Preserving Machine Learning in IoT. CoRR Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng
2019	B	`conf`	Differentially Private Collaborative Learning for the IoT Edge. EWSN Linshan Jiang, Xin Lou, Rui Tan, Jun Zhao
2019	J	`jnl`	Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation. CoRR Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng
2019	B	`conf`	LoRa-Based Localization: Opportunities and Challenges. EWSN Chaojie Gu, Linshan Jiang, Rui Tan
2019	J	`jnl`	Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System. CoRR Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato
2019	J	`jnl`	On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects. CoRR Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin
2019	—	`conf`	On lightweight privacy-preserving collaborative learning for internet-of-things objects. IoTDI Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin
2018	B	`conf`	An Insurance-Based Framework Against Security Threat in Mobile Crowdsourcing Systems. ICPADS Rong Zhao, Linshan Jiang, Kaiyue Zhang, Jin Zhang
2018	C	`conf`	An Insurance-based Incentive Mechanism for Mobile Crowdsourcing to Improve System Security. CSCWD Rong Zhao, Linshan Jiang, Jin Zhang
2018	J	`jnl`	LoRa-Based Localization: Opportunities and Challenges. CoRR Chaojie Gu, Linshan Jiang, Rui Tan
2018	B	`conf`	Resilience Bounds of Sensing-Based Network Clock Synchronization. ICPADS Rui Tan, Linshan Jiang, Arvind Easwaran, Jothi Prasanna Shanmuga Sundaram
2018	J	`jnl`	Resilience Bounds of Sensing-Based Network Clock Synchronization. CoRR Rui Tan, Linshan Jiang, Arvind Easwaran, Jothi Prasanna Shanmuga Sundaram
2016	—	`conf`	Many-to-many matching for combinatorial spectrum trading. ICC Linshan Jiang, Haofan Cai, Yanjiao Chen, Jin Zhang, Baochun Li
2016	Misc	`conf`	Multi-seller combinatorial spectrum auction with reserve prices. ICCS Haofan Cai, Linshan Jiang, Yanjiao Chen, Jin Zhang, Baochun Li
2016	A	`conf`	Spectrum Matching. ICDCS Yanjiao Chen, Linshan Jiang, Haofan Cai, Jin Zhang, Baochun Li