X. Liu, Z. Peng, X. Yi, X. Xie, L. Xiang, Y. Liu, and D. Xu, “ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph”, arXiv preprint: arXiv:2403.00839, 2024. AI/ML
L. Lin, M. Chen, Z. Yang, Y. Wu, and Y. Liu, “A Joint Gradient and Loss Based Clustered Federated Learning Design”, arXiv preprint: arXiv:2311.13665, 2023. AI/ML Networks
B. Xu, Z. Peng, B. Lei, S. Mukherjee, Y. Liu, and D. Xu, “ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models”, arXiv preprint: arXiv:2305.18323, 2023. AI/ML
M. Mushi, Y. Liu, S. Sreenivasa, O. Ozdemir, I. Guvenc, M. Sichitiu, R. Dutta, and R. Gyurek, “On O-RAN Testbeds with Controlled Air Mobility”, arXiv preprint: arXiv:2301.11365, 2023. Networks
Z. Zhang, M. Chen, Z. Yang, and Y. Liu, ‘‘Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning’’, IFIP/IEEE Networking, to appear, 2024. Networks AI/ML
X. Luo, Z. Li, Z. Peng, D. Xu, and Y. Liu, ‘‘RM-Gen: Conditional Diffusion Model-Based Radio Map Generation for Wireless Networks’’, IFIP/IEEE Networking, to appear, 2024. AI/ML Networks
Z. Zhang, M. Fang, J. Huang, and Y. Liu, ‘‘Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction’’, IFIP/IEEE Networking, to appear, 2024. Security AI/ML
M. Fang, Z. Zhang, F. Hairi, P. Khanduri, J. Liu, S. Lu, N. Gong, and Y. Liu, ‘‘Toward Byzantine-Robust Decentralized Federated Learning’’, ACM Conference on Computer and Communications Security (CCS), to appear, 2024. Security
Y. Zhu, M. Chen, S. Wang, Y. Hu, Y. Liu, and C. Yin, ‘‘Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking’’, IEEE Transactions on Mobile Computing (TMC) [J], to appear, 2024. AI/ML Networks Computing
H. Yu, M. Chen, and Y. Liu, ‘‘Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization’’, IEEE Internet of Things Journal (IoTJ) [J], to appear, 2024. AI/ML Networks
Z. Yang, Y. Wang, M. Chen, J. Liu, and Y. Liu, ‘‘GemNet: Analysis and Prediction of Building Materials for Optimizing Indoor Wireless Networks’’, IEEE International Conference on Communications (ICC), to appear, 2024. Networks AI/ML
Z. Li, X. Luo, M. Chen, C. Xu, and Y. Liu, ‘‘Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits’’, IEEE International Conference on Communications (ICC), to appear, 2024. Networks AI/ML
R. Xu, G. Li, Z. Yang, M. Chen, Y. Liu, and J. Li, ‘‘Covert and Reliable Semantic Communication Against Cross-layer Privacy Inference over Wireless Edge Networks’’, IEEE Wireless Communications and Networking Conference (WCNC), to appear, 2024. Networks AI/ML
Z. Yang, M. Chen, Y. Liu, and Z. Zhang, ‘‘A Joint Communication and Computation Framework for Digital Twin over Wireless Networks’’, IEEE Journal of Selected Topics in Signal Processing (JSTSP) [J], to appear, 2024. Networks
Z. Yang, M. Chen, Y. Liu, ‘‘Optimizing Synchronization Delay for Digital Twin over Wireless Networks’’, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), to appear, 2024. Networks
R. Xu, G. Li, Y. Liu, Y. Zhao, J. Kang and J. Li, ‘‘Regulating Covert Communication Capacity with Full-Duplex Receiver Against Location-Uncertain Eavesdropper’’, International Conference on Computing, Networking and Communications (ICNC), CNS Track, to appear, 2024. Networks Security
B. Chen, G. Li, M. Chen, Y. Liu, X. Yi, and J. Li, ‘‘PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning’’, The 25th IEEE International Conference on High Performance Computing and Communications, to appear, 2023. AI/ML Security
Q. Mao, X. Lin, G. Li, L. Chen, Y. Liu, and J. Li, ‘‘Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification’’, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), to appear, 2023. Networks
B. Xu, X. Liu, H. Shen, Z. Han, Y. Li, M. Yue, Z. Peng, Y. Liu, Z. Yao, and D. Xu, “Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs”, System Demonstration Program, The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. AI/ML
J. Chen, S. Zhao, Y. Liu, and Z. Luo, “MMP: A Dynamic Routing Protocol Design to Proactively Defend against Wireless Network Inference Attacks”, ACM Conference on Computer and Communications Security (CCS) Workshop on Moving Target Defense, 2023. Security Networks
X. Li, M. Chen, Y. Liu, Z. Zhang, D. Liu, and S. Mao, “Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks” [J], IEEE Journal on Selected Areas in Communications (JSAC) [J], 2023. AI/ML Networks
R. Xu, G. Li, and Y. Liu, “Enabling Covert Communication With Full-Duplex Receiver Against Location-Uncertain Eavesdropper”, poster, IEEE Secure Development Conference (SecDev), 2023. Security
Z. Li, M. Chen, G. Li, and Y. Liu “Spatial-Temporal Attention-based mmWave Link Quality Prediction under Dynamic Blockages”, Proc. of IEEE Global Communications Conference (GLOBECOM), to appear, 2023. Networks AI/ML
Y. Zhu, S. Wang, Y. Liu, and C. Yin “Trajectory Design for 3D UAV Localization in UAV Based Network”, Proc. of IEEE Global Communications Conference (GLOBECOM), to appear, 2023. Networks
H. Yu, M. Chen, Z. Yang, and Y. Liu “Complex Neural Networks for Indoor Positioning with Complex-Valued Channel State Information”, Proc. of IEEE Global Communications Conference (GLOBECOM), to appear, 2023. AI/ML Networks
G. Li, Y. Zhao, W. Wei, and Y. Liu, “Few-Shot Multi-Domain Knowledge Rearming for Context-Aware Defence Against Advanced Persistent Threats”, Proc. of IEEE International Conference on Smart Applications, Communications and Networking, to appear, 2023. Security
Y. Liu, M. Chen, D. Xu, Z. Yang and S. Zhao, “E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs”, Proc. of Int’l Conference on Computer Communications and Networks (ICCCN), 2023. (🏆Best Paper Award) Networks
A. Ding, G. Li, X. Yi and Y. Liu, “IVSign: Interpretable Vulnerability Signature via Code Embedding and Static Analysis”, Proc. of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Workshop on Data-Centric Dependability and Security, 2023. Security
X. Li, M. Chen, Z. Zhang, D. Liu, Y. Liu, and S. Mao, “Joint Optimization of Sensing and Communications in Vehicular Networks: A Graph Neural Network-based Approach”, Proc. of IEEE International Conference on Communications (ICC), 2023. Networks AI/ML
Y. Liu and D. Blough, “Environment-Aware Link Quality Prediction for Millimeter-Wave Wireless LANs”, Proc. of ACM International Symposium on Mobility Management and Wireless Access, 2022. (🏆Best Paper Award)
A. Deng, Y. Liu, and D. Blough, “Exploring Performance Limits on Proactive Fair Scheduling for mmWave WLANs”, Proc. of IEEE International Symposium on Local and Metropolitan Area Networks, 2022. (🏆Best Paper Award)
Y. Jian, C. Tai, S. Venkateswaran, M. Agarwal, Y. Liu, D. Blough, R. Sivakumar, “Algorithms for Addressing Line-of-Sight Issues in mmWave Wi-Fi Systems using Access Point Mobility”, Journal of Parallel and Distributed Computing, [J], Elsevier, 2022.
Y. Liu, S. Crisp and D. Blough, “Performance Study of Statistical and Deterministic Channel Models for mmWave Wi-Fi Networks in ns-3”, Proc. of ACM Workshop on ns-3, 2021.
Y. Liu, Y. Jian, R. Sivakumar and D. Blough, “Maximizing Line-of-Sight Coverage for mmWave Wireless LANs with Multiple Access Points”, IEEE/ACM Transactions on Networking (ToN) [J], 2021.
Y. Liu and D. Blough, “Blockage Tolerance in Roadside Millimeter-Wave Backhaul Networks”, Computer Networks [J], Elsevier, 2021.
A. Deng, Y. Liu, and D. Blough, “Maximizing Coverage for mmWave WLANs with Dedicated Reflectors”, Proc. of IEEE International Conference on Communications (ICC), 2021.
Y. Liu and D. Blough, “Joint Link-level and Network-level Reconfiguration for Urban mmWave Wireless Backhaul Networks”, Computer Communications [J], Elsevier, 2020.
Y. Liu and D. Blough, “Blockage Robustness in Access Point Association for mmWave Wireless LANs with Mobility”, Proc. of IEEE International Conference on Local Computer Networks, 2020. (🏆Best Paper Award finalist)
Y. Liu, Y. Jian, R. Sivakumar, and D. Blough, “On the Potential Benefits of Mobile Access Points in mmWave Wireless LANs,” Proc. of IEEE International Symposium on Local and Metropolitan Area Networks, 2020.
Y. Jian, M. Agarwal, S. Venkateswaran, Y. Liu, R. Sivakumar and D. Blough, “WiMove: Toward Infrastructure Mobility in mmWave WiFi”, Proc. of ACM International Symposium on Mobility Management and Wireless Access (MobiWac), 2020.
Y. Jian, Y. Liu, S. Venkateswaran, D. Blough, and R. Sivakumar, “A Quantitative Exploration of Access Point Mobility for mmWave WiFi Networks”, Proc. of IEEE International Conference on Communications (ICC), 2020.
Y. Liu, Q. Hu and D. Blough, “Joint Link-level and Network-level Reconfiguration for mmWave Backhaul Survivability in Urban Environments”, Proc. of Modeling, Analysis and Simulation of Wireless and Mobile Systems, ACM, 2019. (🏆Best Paper Award finalist)
Y. Liu, Y. Jian, R. Sivakumar and D. Blough, “Optimal Access Point Placement in Multi-AP mmWave WLANs”, Proc. of Modeling, Analysis and Simulation of Wireless and Mobile Systems, ACM, 2019.
Y. Jian, M. Agarwal, Y. Liu, D. Blough and R. Sivakumar, “Poster: Hawkeye - Predictive Positioning of a Ceiling-Mounted Mobile AP in mmWave WLANs for Maximizing Line-of-sight”, ACM International Conference on Mobile Computing and Networking (MobiCom), 2019.
Y. Liu and D. Blough, “Analysis of Blockage Effects on Roadside Relay-assisted mmWave Backhaul Networks”, Proc. of IEEE International Conference on Communications (ICC), 2019.
Q. Hu, Y. Liu, Y. Yan, and D. Blough, “End-to-end Simulation of mmWave Out-of-band Backhaul Networks in ns-3” Proc. of the Workshop on Next-Generation Wireless with ns-3, 2019.
Y. Liu, Q. Hu, and D. Blough, “Blockage Avoidance in Relay Paths for Roadside mmWave Backhaul Networks”, Proc. of IEEE Int’l Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2018.
Y. Liu, A. Zhang, S. Li, J. Tang, and J. Li, “A Lightweight Authentication Scheme based on Self-updating Strategy for Space Information Network”, International Journal of Satellite Communications & Networking, 2017.
Y. Liu, A. Zhang, J. Li, and J. Wu, “An Anonymous Distributed Key Management System based on CL-PKC for Space Information Network”, Proc. of IEEE International Conference on Communications (ICC), 2016.
W. Zhao, A. Zhang, J. Li, X. Wu, and Y. Liu, “Analysis and Design of an Authentication Protocol for Space Information Network”, Proc. of IEEE Military Communications Conference (MilCom), 2016.
X. Wu, A. Zhang, J. Li, W. Zhao, and Y. Liu, “A Lightweight Authentication and Key Agreement Scheme for Mobile Satellite Communication Systems”, Proc. of International Conference on Information Security and Cryptology, Springer, 2016.
J. Wen, W. Liu, Y. Huang, Y. Liu, Y. Luo, G. Peng, and T. Wang, “Spun-Related Effects on Optical Properties of Spun Silica Optical Fibers”, Journal of Lightwave Technology (JLT) [J], 2015.
Q. Hu, Y. Liu, Y. Yan, M. Liu, J. Zheng, and D. Blough, “An Efficient Distributed Scheduling Algorithm for Relay-Assisted mmWave Backhaul Networks”, arXiv preprint: arXiv:2202.07872, 2022.
Q. Hu, Y. Liu, Y. Yan, M. Liu, J. Zheng, and D. Blough, “Towards the Maximum Traffic Demand and Throughput Supported by Relay-Assisted mmWave Backhaul Networks”, arXiv preprint: arXiv:2202.05908, 2022.
Y. Liu and D. Blough, “Analysis of Secondary Effects in Roadside mmWave Backhaul Networks”, arXiv preprint: arXiv:2010.10479 [eess.SY], 2020.
Y. Liu, Q. Hu and D. Blough, “Blockage Type Detection Process in Triangular-wave Topology for mmWave Wireless Backhaul”, arXiv preprint: arXiv:2010.08430 [cs.NI], 2018.
(You can get the full publication list here)
“A Secure Data Collection Method for Internet of Vehicles”, issued May. 2019, (CN Patent No.: CN105978883B).
“Smart USB-Key Detection System based on Sandbox Mechanism”, issued Dec. 2017, (CN Patent No.: CN104700028B).
“Selection Method of P2P Sensor Network Security Service in Social Networks”, (Appication Patent No.: 201610080457.7)
“A Lightweight Synchronization Method in Smart Sensor Networks”, (Application Patent No.: 201510703427.2).