Huaiyu Dai

Pervej, M. F., Jin, R., Lin, S.-C., & Dai, H. (2024). Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(1), 1129–1145. https://doi.org/10.1109/TVT.2023.3300954

Lee, M., Yu, G., & Dai, H. (2024). Privacy-Preserving Decentralized Inference With Graph Neural Networks in Wireless Networks. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 23(1), 543–558. https://doi.org/10.1109/TWC.2023.3279442

Jin, R., Liu, Y., Huang, Y., He, X., Wu, T., & Dai, H. (2024, January 12). Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 1. https://doi.org/10.1109/TNNLS.2023.3345367

Liu, Z., Zhao, Y., Hosseinalipour, S., Gao, Z., Huang, L., & Dai, H. (2024). TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(3), 4337–4351. https://doi.org/10.1109/TVT.2023.3329141

Maeng, S. J., Chowdhury, M. M. U., Guvenc, I., Bhuyan, A., & Dai, H. (2023). Base Station Antenna Uptilt Optimization for Cellular-Connected Drone Corridors. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 59(4), 4729–4737. https://doi.org/10.1109/TAES.2023.3237994

Zhang, J., He, X., & Dai, H. (2023). Blind Post-Decision State-Based Reinforcement Learning for Intelligent IoT. IEEE INTERNET OF THINGS JOURNAL, 10(12), 10605–10620. https://doi.org/10.1109/JIOT.2023.3242613

Reza, M. F., Rahmati, A., Wu, T., & Dai, H. (2023). CGBA: Curvature-aware Geometric Black-box Attack. 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 124–133. https://doi.org/10.1109/ICCV51070.2023.00018

Ozturk, E., Anjinappa, C. K., Erden, F., Chowdhury, M. M. U., Guvenc, I., Dai, H., & Bhuyan, A. (2023). Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors. 2023 IEEE AEROSPACE CONFERENCE. https://doi.org/10.1109/AERO55745.2023.10115741

Lee, M., Yu, G., & Dai, H. (2023). Decentralized Inference With Graph Neural Networks in Wireless Communication Systems. IEEE TRANSACTIONS ON MOBILE COMPUTING, 22(5), 2582–2598. https://doi.org/10.1109/TMC.2021.3125793

Tian, Z., Zhang, Z., Yang, Z., Jin, R., & Dai, H. (2023). Distributed Learning Over Networks With Graph-Attention-Based Personalization. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 71, 2071–2086. https://doi.org/10.1109/TSP.2023.3282071

Liwang, M., Gao, Z., Hosseinalipour, S., Su, Y., Wang, X., & Dai, H. (2023). Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks. IEEE TRANSACTIONS ON SERVICES COMPUTING, 16(5), 3397–3411. https://doi.org/10.1109/TSC.2023.3270169

Li, Z., Tong, P., Liu, J., Wang, X., Xie, L., & Dai, H. (2023). Learning-Based Data Gathering for Information Freshness in UAV-Assisted IoT Networks. IEEE INTERNET OF THINGS JOURNAL, 10(3), 2557–2573. https://doi.org/10.1109/JIOT.2022.3215521

He, Y., He, X., Jin, R., & Dai, H. (2023). Location Privacy-Aware and Energy-Efficient Offloading for Distributed Edge Computing. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 22(11), 7975–7988. https://doi.org/10.1109/TWC.2023.3257197

Liu, J., Jia, J., Ma, B., Zhou, C., Zhou, J., Zhou, Y., … Dou, D. (2023). Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 34(2), 535–551. https://doi.org/10.1109/TPDS.2022.3224941

Jin, R., Huang, Y., Zhang, Z., & Dai, H. (2023). On the Privacy Guarantees of Gossip Protocols in General Networks. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 10(6), 3114–3130. https://doi.org/10.1109/TNSE.2023.3247626

Benmahmoud, S., Meftah, E.-H., & Dai, H. (2023). On the outage probability of uplink IRS-aided networks: NOMA and OMA. PHYSICAL COMMUNICATION, 59. https://doi.org/10.1016/j.phycom.2023.102077

Song, Z., An, J., Ding, H., & Dai, H. (2023). Optimal Relay Probing for UAV Millimeter Wave Communications with Beam Training Overhead. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 72(6), 7351–7363. https://doi.org/10.1109/TVT.2023.3236681

Liu, Z., Liwang, M., Hosseinalipour, S., Dai, H., Gao, Z., & Huang, L. (2023). RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 72(9), 12139–12153. https://doi.org/10.1109/TVT.2023.3266582

Pervej, M. F., Jin, R., & Dai, H. (2023). Resource Constrained Vehicular Edge Federated Learning With Highly Mobile Connected Vehicles. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 41(6), 1825–1844. https://doi.org/10.1109/JSAC.2023.3273700

Du, K., Mujumdar, O., Ozdemir, O., Ozturk, E., Guvenc, I., Sichitiu, M. L., … Bhuyan, A. (2022). 60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios. 2022 IEEE RADIO AND WIRELESS SYMPOSIUM (RWS), pp. 156–159. https://doi.org/10.1109/RWS53089.2022.9719957

Lee, M., Hosseinalipour, S., Brinton, C. G. G., Yu, G., & Dai, H. (2022). A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE TRANSACTIONS ON CLOUD COMPUTING, 10(4), 2264–2280. https://doi.org/10.1109/TCC.2020.3046883

Gao, Z., Liwang, M., Hosseinalipour, S., Dai, H., & Wang, X. (2022). A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks. IEEE TRANSACTIONS ON MOBILE COMPUTING, 21(10), 3455–3469. https://doi.org/10.1109/TMC.2021.3059803

Jin, R., He, X., & Dai, H. (2022). Communication Efficient Federated Learning With Energy Awareness Over Wireless Networks. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 21(7), 5204–5219. https://doi.org/10.1109/TWC.2021.3138394

Yue, K., Jin, R., Wong, C.-W., & Dai, H. (2022). Communication-Efficient Federated Learning via Predictive Coding. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 16(3), 369–380. https://doi.org/10.1109/JSTSP.2022.3142678

Rahmati, A., Hosseinalipour, S., Yapici, Y., He, X., Guvenc, I., Dai, H., & Bhuyan, A. (2022). Dynamic Interference Management for UAV-Assisted Wireless Networks. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 21(4), 2637–2653. https://doi.org/10.1109/TWC.2021.3114234

Yue, K., Jin, R., Wong, C.-W., & Dai, H. (2022, December 7). Federated Learning via Plurality Vote. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 12. https://doi.org/10.1109/TNNLS.2022.3225715

Lee, M., Yu, G., Dai, H., & Li, G. Y. (2022). Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. IEEE WIRELESS COMMUNICATIONS, 29(5), 12–19. https://doi.org/10.1109/MWC.001.2200023

Nguyen, N. T., Lee, K., & Dai, H. (2022). Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 71(8), 8739–8755. https://doi.org/10.1109/TVT.2022.3176389

Pervej, M. F., Guo, J., Kim, K. J., Parsons, K., Orlik, P., Di Cairano, S., … Dai, H. (2022). Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles. 2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), pp. 750–757. https://doi.org/10.1109/IV51971.2022.9827190

He, X., Jin, R., & Dai, H. (2022). Multi-Hop Task Offloading With On-the-Fly Computation for Multi-UAV Remote Edge Computing. IEEE TRANSACTIONS ON COMMUNICATIONS, 70(2), 1332–1344. https://doi.org/10.1109/TCOMM.2021.3129902

Hosseinalipour, S., Azam, S. S., Brinton, C. G., Michelusi, N., Aggarwal, V., Love, D. J., & Dai, H. (2022, February 3). Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE-ACM TRANSACTIONS ON NETWORKING. https://doi.org/10.1109/TNET.2022.3143495

Maeng, S. J., Yapici, Y., Guvenc, I., Bhuyan, A., & Dai, H. (2022). Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 71(3), 2949–2964. https://doi.org/10.1109/TVT.2022.3141055

Hosseinalipour, S., & Dai, H. (2021). A Two-Stage Auction Mechanism for Cloud Resource Allocation. IEEE TRANSACTIONS ON CLOUD COMPUTING, 9(3), 881–895. https://doi.org/10.1109/TCC.2019.2901785

Lee, M., Ma, N., Yu, G., & Dai, H. (2021). Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(2), 1233–1247. https://doi.org/10.1109/TWC.2020.3031920

Nguyen, N. T., Lee, K., & DaiIEEE, H. (2021). Application of Deep Learning to Sphere Decoding for Large MIMO Systems. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(10), 6787–6803. https://doi.org/10.1109/TWC.2021.3076527

Chattopadhyay, S., Dai, H., & Eun, D. Y. (2021). Controlling Metastable Infection Patterns in Multilayer Networks via Interlink Design. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 8(4), 3242–3256. https://doi.org/10.1109/TNSE.2021.3108075

Tian, Z., Zhang, Z., Wang, J., Chen, X., Wang, W., & Dai, H. (2021, January). Distributed ADMM With Synergetic Communication and Computation. IEEE TRANSACTIONS ON COMMUNICATIONS, Vol. 69, pp. 501–517. https://doi.org/10.1109/TCOMM.2020.3027032

Hosseinalipour, S., Rahmati, A., Eun, D. Y., & Dai, H. (2021). Energy-Aware Stochastic UAV-Assisted Surveillance. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(5), 2820–2837. https://doi.org/10.1109/TWC.2020.3044490

Maeng, S. J., Deshmukh, M. A., Guvenc, I., Bhuyan, A., & Dai, H. (2021). Interference Analysis and Mitigation for Aerial IoT Considering 3D Antenna Patterns. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 70(1), 490–503. https://doi.org/10.1109/TVT.2020.3046121

He, X., Jin, R., & Dai, H. (2021). Joint Service Placement and Resource Allocation for Multi-UAV Collaborative Edge Computing. 2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC). https://doi.org/10.1109/WCNC49053.2021.9417565

Jin, R., He, X., & Dai, H. (2021). Minimizing the Age of Information in the Presence of Location Privacy-Aware Mobile Agents. IEEE TRANSACTIONS ON COMMUNICATIONS, 69(2), 1053–1067. https://doi.org/10.1109/TCOMM.2020.3035394

Su, Y., LiWang, M., Hosseinalipour, S., Huang, L., & Dai, H. (2021). Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021). https://doi.org/10.1109/ICC42927.2021.9500796

Ding, H., Dai, H., Guvenc, I., & Bhuyan, A. (2021). Outage Analysis for Cooperative mmWave UAV Communications With Beam Training Overhead. IEEE WIRELESS COMMUNICATIONS LETTERS, 10(10), 2249–2253. https://doi.org/10.1109/LWC.2021.3098424

Yapici, Y., Rupasinghe, N., Guvenc, I., Dai, H., & Bhuyan, A. (2021). Physical Layer Security for NOMA Transmission in mmWave Drone Networks. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 70(4), 3568–3582. https://doi.org/10.1109/TVT.2021.3066350

Singh, S., Bhattacherjee, U., Ozturk, E., Guvenc, I., Dai, H., Sichitiu, M., & Bhuyan, A. (2021). Placement of mmWave Base Stations for Serving Urban Drone Corridors. 2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING). https://doi.org/10.1109/VTC2021-Spring51267.2021.9448923

Maeng, S. J., Yapici, Y., Guvenc, I., Dai, H., & Bhuyan, A. (2021). Power Allocation for Fingerprint-Based PHY-Layer Authentication with mmWave UAV Networks. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021). https://doi.org/10.1109/ICC42927.2021.9500273

Xiao, L., Lu, X., Xu, T., Zhuang, W., & Dai, H. (2021). Reinforcement Learning-Based Physical-Layer Authentication for Controller Area Networks. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 16, 2535–2547. https://doi.org/10.1109/TIFS.2021.3056206

Bhuyan, A., Guvenc, I., Dai, H., Sichitiu, M. L., Singh, S., Rahmati, A., & Maeng, S. J. (2021). Secure 5G Network for a Nationwide Drone Corridor. 2021 IEEE AEROSPACE CONFERENCE (AEROCONF 2021). https://doi.org/10.1109/AERO50100.2021.9438162

Zhang, H., He, X., Wu, Q., & Dai, H. (2021). Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing. IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021). https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484578

Zou, R., Wang, W., & Dai, H. (2021). Temporal and Spectral Analysis of Spectrum Hole Distributions in an LTE Cell. 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). https://doi.org/10.1109/GLOBECOM46510.2021.9685339

Xiao, L., Ding, Y., Huang, J., Liu, S., Tang, Y., & Dai, H. (2021). UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach. IEEE TRANSACTIONS ON COMMUNICATIONS, 69(9), 5933–5947. https://doi.org/10.1109/TCOMM.2021.3087787

Liu, J., Tong, P., Wang, X., Bai, B., & Dai, H. (2021). UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(4), 2368–2382. https://doi.org/10.1109/TWC.2020.3041750

LiWang, M., Hosseinalipour, S., Gao, Z., Tang, Y., Huang, L., & Dai, H. (2020). Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV. IEEE INTERNET OF THINGS JOURNAL, 7(1), 311–324. https://doi.org/10.1109/JIOT.2019.2949602

Huang, Y., Jin, R., & Dai, H. (2020). Differential Privacy and Prediction Uncertainty of Gossip Protocols in General Networks. 2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). https://doi.org/10.1109/GLOBECOM42002.2020.9322558

Rahmati, A., Hosseinalipour, S., Yapici, Y., Guvenc, I., Dai, H., & Bhuyan, A. (2020). Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks. 2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). https://doi.org/10.1109/GLOBECOM42002.2020.9348114

Hosseinalipour, S., Brinton, C. G., Aggarwal, V., Dai, H., & Chiang, M. (2020). From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE COMMUNICATIONS MAGAZINE, 58(12), 41–47. https://doi.org/10.1109/MCOM.001.2000410

He, X., Jin, R., & Dai, H. (2020). Joint Power and Deployment Optimization for Multi-UAV Remote Edge Computing. 2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). https://doi.org/10.1109/GLOBECOM42002.2020.9348243

Chattopadhyay, S., Dai, H., & Eun, D. Y. (2020). Maximization of Robustness of Interdependent Networks Under Budget Constraints. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1441–1452. https://doi.org/10.1109/TNSE.2019.2935068

He, X., Jin, R., & Dai, H. (2020). Peace: Privacy-Preserving and Cost-Efficient Task Offloading for Mobile-Edge Computing. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 19(3), 1814–1824. https://doi.org/10.1109/TWC.2019.2958091

He, X., Jin, R., & Dai, H. (2020). Physical-Layer Assisted Secure Offloading in Mobile-Edge Computing. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 19(6), 4054–4066. https://doi.org/10.1109/TWC.2020.2979456

Hosseinalipour, S., Nayak, A., & Dai, H. (2020). Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 31(4), 749–765. https://doi.org/10.1109/TPDS.2019.2943457

Hosseinalipour, S., Mao, J., Eun, D. Y., & Dai, H. (2020). Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1710–1723. https://doi.org/10.1109/TNSE.2019.2951084

Lu, X., Xiao, L., Dai, C., & Dai, H. (2020). UAV-AIDED CELLULAR COMMUNICATIONS WITH DEEP REINFORCEMENT LEARNING AGAINST JAMMING. IEEE WIRELESS COMMUNICATIONS, 27(4), 48–53. https://doi.org/10.1109/MWC.001.1900207

LiWang, M., Dai, S., Gao, Z., Du, X., Guizani, M., & Dai, H. (2019). A COMPUTATION OFFLOADING INCENTIVE MECHANISM WITH DELAY AND COST CONSTRAINTS UNDER 5G SATELLITE-GROUND IOV ARCHITECTURE. IEEE WIRELESS COMMUNICATIONS, 26(4), 124–132. https://doi.org/10.1109/MWC.2019.1800364

Liwang, M., Dai, S., Gao, Z., Tang, Y., & Dai, H. (2019). A Truthful Reverse-Auction Mechanism for Computation Offloading in Cloud-Enabled Vehicular Network. IEEE INTERNET OF THINGS JOURNAL, 6(3), 4214–4227. https://doi.org/10.1109/JIOT.2018.2875507

Benmahmoud, S., & Dai, H. (2019). A unified framework for the performance evaluation of single-branch dual-hop AF relaying in the presence of transceiver hardware impairments. PHYSICAL COMMUNICATION, 32, 231–241. https://doi.org/10.1016/j.phycom.2018.12.008

He, X., Jin, R., & Dai, H. (2019). Camouflaging Mobile Primary Users in Database-Driven Cognitive Radio Networks. IEEE WIRELESS COMMUNICATIONS LETTERS, 8(1), 21–24. https://doi.org/10.1109/LWC.2018.2846621

He, X., Jin, R., & Dai, H. (2019). Deep PDS-Learning for Privacy-Aware Offloading in MEC-Enabled IoT. IEEE INTERNET OF THINGS JOURNAL, 6(3), 4547–4555. https://doi.org/10.1109/JIOT.2018.2878718

Xiao, L., Sheng, G., Liu, S., Dai, H., Peng, M., & Song, J. (2019). Deep Reinforcement Learning-Enabled Secure Visible Light Communication Against Eavesdropping. IEEE TRANSACTIONS ON COMMUNICATIONS, 67(10), 6994–7005. https://doi.org/10.1109/TCOMM.2019.2930247

Min, M., Wan, X., Xiao, L., Chen, Y., Xia, M., Wu, D., & Dai, H. (2019). Learning-Based Privacy-Aware Offloading for Healthcare IoT With Energy Harvesting. IEEE INTERNET OF THINGS JOURNAL, 6(3), 4307–4316. https://doi.org/10.1109/JIOT.2018.2875926

Huang, Y., & Dai, H. (2019). Multiplex Conductance and Gossip Based Information Spreading in Multiplex Networks. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 6(3), 391–401. https://doi.org/10.1109/TNSE.2018.2838104

Jin, R., He, X., & Dai, H. (2019). On the Security-Privacy Tradeoff in Collaborative Security: A Quantitative Information Flow Game Perspective. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 14(12), 3273–3286. https://doi.org/10.1109/TIFS.2019.2914358

Huang, Y., Dai, H., & Ke, R. (2019). Principles of Effective and Robust Innate Immune Response to Viral Infections: A Multiplex Network Analysis. FRONTIERS IN IMMUNOLOGY, 10. https://doi.org/10.3389/fimmu.2019.01736

Nguyen, N. T., Lee, K., & Dai, H. (2019). QR-Decomposition-Aided Tabu Search Detection for Large MIMO Systems. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 68(5), 4857–4870. https://doi.org/10.1109/TVT.2019.2905642

Xiao, L., Li, Y., Han, G., Dai, H., & Poor, H. V. (2018). A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning. IEEE Transactions on Information Forensics and Security, 13(1), 35–47. https://doi.org/10.1109/tifs.2017.2737968

Parvez, I., Rahmati, A., Guvenc, I., Sarwat, A. I., & Dai, H. (2018). A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 20(4), 3098–3130. https://doi.org/10.1109/COMST.2018.2841349

Advances in Mechanics of Microstructured Media and Structures. (2018). In ADVANCES IN MECHANICS OF MICROSTRUCTURED MEDIA AND STRUCTURES (Vol. 87, pp. 1–369). https://doi.org/10.1007/978-3-319-73694-5

He, X., Dai, H., He, X., & Dai, H. (2018). Adversary Detection For Cognitive Radio Networks. In SpringerBriefs in Electrical and Computer Engineering. https://doi.org/10.1007/978-3-319-75868-8

He, X., Dai, H., He, X., & Dai, H. (2018). Adversary Detection For Cognitive Radio Networks Conclusion and FutureWork. ADVERSARY DETECTION FOR COGNITIVE RADIO NETWORKS, pp. 73–74. https://doi.org/10.1007/978-3-319-75868-8_7

He, X., Dai, H., He, X., & Dai, H. (2018). Adversary Detection For Cognitive Radio Networks Introduction. ADVERSARY DETECTION FOR COGNITIVE RADIO NETWORKS, pp. 1–6. https://doi.org/10.1007/978-3-319-75868-8_1

He, X., Dai, H., He, X., & Dai, H. (2018). Case Study I: Link Signature Assisted PUE Attack Detection. ADVERSARY DETECTION FOR COGNITIVE RADIO NETWORKS, pp. 45–50. https://doi.org/10.1007/978-3-319-75868-8_4

He, X., Dai, H., He, X., & Dai, H. (2018). Case Study II: HMM-Based Byzantine Attack Detection. ADVERSARY DETECTION FOR COGNITIVE RADIO NETWORKS, pp. 51–62. https://doi.org/10.1007/978-3-319-75868-8_5

He, X., Dai, H., He, X., & Dai, H. (2018). Case Study III: CFC-Based Byzantine Attack Detection. ADVERSARY DETECTION FOR COGNITIVE RADIO NETWORKS, pp. 63–72. https://doi.org/10.1007/978-3-319-75868-8_6

Jin, R., He, X., & Dai, H. (2018). Collaborative IDS Configuration: A Two-Layer Game-Theoretic Approach. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 4(4), 803–815. https://doi.org/10.1109/TCCN.2018.2856207

He, X., & Dai, H. (2018). Dynamic Games for Network Security. In SpringerBriefs in Electrical and Computer Engineering (pp. 1–74). https://doi.org/10.1007/978-3-319-75871-8

He, X., Dai, H., He, X., & Dai, H. (2018). Dynamic Games for Network Security Conclusion and Future Work. DYNAMIC GAMES FOR NETWORK SECURITY, pp. 73–74. https://doi.org/10.1007/978-3-319-75871-8_6

He, X., Dai, H., He, X., & Dai, H. (2018). Dynamic Security Games with Deception. DYNAMIC GAMES FOR NETWORK SECURITY, pp. 61–71. https://doi.org/10.1007/978-3-319-75871-8_5

He, X., Dai, H., He, X., & Dai, H. (2018). Dynamic Security Games with Extra Information. DYNAMIC GAMES FOR NETWORK SECURITY, pp. 25–42. https://doi.org/10.1007/978-3-319-75871-8_3

He, X., Dai, H., He, X., & Dai, H. (2018). Dynamic Security Games with Incomplete Information. DYNAMIC GAMES FOR NETWORK SECURITY, pp. 43–60. https://doi.org/10.1007/978-3-319-75871-8_4

He, X., Jin, R., & Dai, H. (2018). Leveraging Spatial Diversity for Privacy-Aware Location-Based Services in Mobile Networks. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 13(6), 1524–1534. https://doi.org/10.1109/tifs.2018.2797023

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Zhang, Z., Cai, X., Li, C., Zhong, C., & Dai, H. (2018). One-Bit Quantized Massive MIMO Detection Based on Variational Approximate Message Passing. IEEE Transactions on Signal Processing, 66(9), 2358–2373. https://doi.org/10.1109/tsp.2017.2786256

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