Many-to-many matching for combinatorial spectrum trading. - Linshan Jiang; Haofan Cai; Yanjiao Chen; Jin Zhang 001; Baochun Li (ICC, 2016)

Multi-seller combinatorial spectrum auction with reserve prices. - Haofan Cai; Linshan Jiang; Yanjiao Chen; Jin Zhang 001; Baochun Li (ICCS, 2016)

Spectrum Matching. - Yanjiao Chen; Linshan Jiang; Haofan Cai; Jin Zhang 001; Baochun Li (ICDCS, 2016)

An Insurance-based Incentive Mechanism for Mobile Crowdsourcing to Improve System Security. - Rong Zhao; Linshan Jiang; Jin Zhang 001 (CSCWD, 2018)

Resilience Bounds of Sensing-Based Network Clock Synchronization. - Rui Tan 001; Linshan Jiang; Arvind Easwaran; Jothi Prasanna Shanmuga Sundaram (ICPADS, 2018)

An Insurance-Based Framework Against Security Threat in Mobile Crowdsourcing Systems. - Rong Zhao; Linshan Jiang; Kaiyue Zhang; Jin Zhang 001 (ICPADS, 2018)

LoRa-Based Localization: Opportunities and Challenges. - Chaojie Gu; Linshan Jiang; Rui Tan 001 (EWSN, 2019)

Differentially Private Collaborative Learning for the IoT Edge. - Linshan Jiang; Xin Lou; Rui Tan 001; Jun Zhao 007 (EWSN, 2019)

On lightweight privacy-preserving collaborative learning for internet-of-things objects. - Linshan Jiang; Rui Tan 001; Xin Lou; Guosheng Lin (IoTDI, 2019)

On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects. - Linshan Jiang; Rui Tan 001; Xin Lou; Guosheng Lin (CoRR, 2019)

Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System. - Yang Zhao 017; Jun Zhao 007; Linshan Jiang; Rui Tan 001; Dusit Niyato (CoRR, 2019)

Challenges of Privacy-Preserving Machine Learning in IoT. - Mengyao Zheng; Dixing Xu; Linshan Jiang; Chaojie Gu; Rui Tan 001; Peng Cheng 001 (CoRR, 2019)

Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation. - Dixing Xu; Mengyao Zheng; Linshan Jiang; Chaojie Gu; Rui Tan 001; Peng Cheng 001 (CoRR, 2019)

Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN. - Chaojie Gu; Linshan Jiang; Rui Tan 001; Mo Li 001; Jun Huang 001 (ICDCS, 2020)

Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference. - Dixing Xu; Mengyao Zheng; Linshan Jiang; Chaojie Gu; Rui Tan 001; Peng Cheng 001 (IEEE Internet Things J., 2020)

Resilience Bounds of Network Clock Synchronization with Fault Correction. - Linshan Jiang; Rui Tan 001; Arvind Easwaran (ACM Trans. Sens. Networks, 2020)

An Electromagnetic Covert Channel based on Neural Network Architecture. - Chaojie Gu; Jiale Chen; Rui Tan 001; Linshan Jiang (ICPADS, 2021)

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. - Yang Zhao 017; Jun Zhao 007; Linshan Jiang; Rui Tan 001; Dusit Niyato; Zengxiang Li; Lingjuan Lyu; Yingbo Liu (IEEE Internet Things J., 2021)

On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections. - Linshan Jiang; Rui Tan 001; Xin Lou; Guosheng Lin (ACM Trans. Internet Things, 2021)

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference. - Linshan Jiang; Qun Song 001; Rui Tan 001; Mo Li 001 (SenSys, 2022)

ILLOC: In-Hall Localization with Standard LoRaWAN Uplink Frames. - Dongfang Guo; Chaojie Gu; Linshan Jiang; Wenjie Luo 001; Rui Tan 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Attack-aware Synchronization-free Data Timestamping in LoRaWAN. - Chaojie Gu; Linshan Jiang; Rui Tan 001; Mo Li 001; Jun Huang 001 (ACM Trans. Sens. Networks, 2022)

Lightweight privacy preservation techniques for deep learning and inference in Internet of Things - Linshan Jiang (2022)

Poster Abstract: CNN-guardian: Secure Neural Network Inference Acceleration on Edge GPU. - Qipeng Xie; Hao Yang 062; Linshan Jiang; Zhihe Zhao; Siyang Jiang; Shiyu Shen 001; Salabat Khan; Zhe Liu 001; Kaishun Wu (SenSys, 2023)

FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Xiang Liu 017; Liangxi Liu; Feiyang Ye 004; Yunheng Shen; Xia Li 005; Linshan Jiang; Jialin Li 001 (CoRR, 2023)

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". - Yang Zhao 017; Jun Zhao 007; Linshan Jiang; Rui Tan 001; Dusit Niyato; Zengxiang Li; Lingjuan Lyu; Yingbo Liu (IEEE Internet Things J., 2023)

High Performance Computing Framework for Variable Selection on Genome-wide Association Studies. - Xiang Liu 017; Xueling Liu; Jing Diao; Mengyao Zheng; Jihe Li; Dehui Wei; Qipeng Xie; Xia Li 005; Linshan Jiang (BIBM, 2024)

Novel Truncated-rank Graph-structured and Tree-guided Sparse Linear Mixed Models for Variable Selection on Genome-wide Association Studies. - Xiang Liu 017; Xueling Liu; Jing Diao; Mengyao Zheng; Jihe Li; Yongyi Xie; Kang Lai; Xiao Geng; Yijun Song; Linshan Jiang (BIBM, 2024)

FusionFrame: A Fusion Dataflow Scheduling Framework for DNN Accelerators via Analytical Modeling. - Liutao Zheng; Huiying Lan; Xiang Liu 017; Linshan Jiang; Xuehai Zhou (ICA3PP (6), 2024)

LiteCrypt: Enhancing IoMT Security with Optimized HE and Lightweight Dual-Authorization. - Qipeng Xie; Weizheng Wang; Yongzhi Huang 002; Mengyao Zheng; Shuai Shang; Linshan Jiang; Salabat Khan; Kaishun Wu (ICPADS, 2024)

Practical Hybrid Gradient Compression for Federated Learning Systems. - Sixu Hu; Linshan Jiang; Bingsheng He (IJCAI, 2024)

EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices. - Di Yu 001; Xin Du 002; Linshan Jiang; Wentao Tong; Shuiguang Deng (IJCAI, 2024)

Poster Abstract: Threshold Cryptography-based Authentication Protocol for Remote Healthcare. - Qipeng Xie; Zhihe Zhao; Linshan Jiang; Siyang Jiang; Salabat Khan; Weizheng Wang; Kaishun Wu (IPSN, 2024)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Xiang Liu 017; Liangxi Liu; Feiyang Ye 004; Yunheng Shen; Xia Li 005; Linshan Jiang; Jialin Li 001 (NeurIPS, 2024)

ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices. - Xiang Liu 017; Yijun Song; Xia Li 005; Yifei Sun; Huiying Lan; Zemin Liu; Linshan Jiang; Jialin Li 001 (CoRR, 2024)

"They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing. - Moming Duan; Rui Zhao 009; Linshan Jiang; Nigel Shadbolt; Bingsheng He (CoRR, 2024)

FedLEC: Effective Federated Learning Algorithm with Spiking Neural Networks Under Label Skews. - Di Yu 001; Xin Du 002; Linshan Jiang; Shunwen Bai; Wentao Tong; Shuiguang Deng (CoRR, 2024)

Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey. - Qipeng Xie; Siyang Jiang; Linshan Jiang; Yongzhi Huang 002; Zhihe Zhao; Salabat Khan; Wangchen Dai; Zhe Liu 001; Kaishun Wu (IEEE Internet Things J., 2024)

OFL-W3: A One-shot Federated Learning System on Web 3.0. - Linshan Jiang; Moming Duan; Bingsheng He; Yulin Sun; Peishen Yan; Yang Hua 001; Tao Song 003 (Proc. VLDB Endow., 2024)

One-shot Federated Learning Methods: A Practical Guide. - Xiang Liu 017; Zhenheng Tang; Xia Li 005; Yijun Song; Sijie Ji; Zemin Liu; Bo Han 003; Linshan Jiang; Jialin Li 001 (CoRR, 2025)

Automatic Pruning via Structured Lasso with Class-wise Information. - Xiang Liu 017; Mingchen Li; Xia Li 005; Leigang Qu; Zifan Peng; Yijun Song; Zemin Liu; Linshan Jiang; Jialin Li 001 (CoRR, 2025)

QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs. - Dehui Wei; Jiao Zhang 002; Xiang Liu 017; Haozhe Li; Zhichen Xue; Tao Huang 005; Linshan Jiang; Jialin Li 001 (IEEE J. Sel. Areas Commun., 2025)

RoboCam: Model-Based Robotic Visual Sensing for Precise Inspection of Mesh Screens. - Siyuan Zhou; Duc Van Le; Linshan Jiang; Zhuoran Chen; Xiaohua Peng; Daren Ho; Jianmin Zheng; Rui Tan 001 (ACM Trans. Sens. Networks, 2025)

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. - Di Yu 001; Changze Lv; Xin Du 002; Linshan Jiang; Wentao Tong; Zhenyu Liao; Xiaoqing Zheng; Shuiguang Deng (CoRR, 2025)

Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System. - Xiang Liu 017; Zhanpeng Guo; Liangxi Liu; Mengyao Zheng; Yiming Qiu; Linshan Jiang (CoRR, 2025)

Edge Intelligence with Spiking Neural Networks. - Shuiguang Deng; Di Yu 001; Changze Lv; Xin Du 002; Linshan Jiang; Xiaofan Zhao; Wentao Tong; Xiaoqing Zheng; Weijia Fang; Peng Zhao 023; Gang Pan 001; Schahram Dustdar; et al. (CoRR, 2025)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios. - Tianle Li; Yongzhi Huang 002; Linshan Jiang; Qipeng Xie; Chang Liu; Wenfeng Du; Lu Wang 002; Kaishun Wu (CoRR, 2025)

Hypernetworks for Model-Heterogeneous Personalized Federated Learning. - Chen Zhang; Husheng Li; Xiang Liu; Linshan Jiang; Danxin Wang (CoRR, 2025)