Sahil Kumar, Namrateben Patel, Honggang Wang, Youshan Zhang, MambaVoiceCloning: efficient and Expressive Tex-to-Speech via State-Space Modeling and Diffusion Control, The Fourteenth International Conference on Learning Representations (ICLR 2026).

Ashikur Nobel, Jacob Matos, Honggang Wang, Hua Fang, iDT-diet: Toward Personalized Health Forecasting An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories, The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), short paper.

Ashikur Nobel, Honggang Wang, Zhouzhou Li, Hua Fang, Improving Key Randomness in Physical-Layer Wireless Security via Semi-Synchronized RSSI and Cubic Spline Projection, IEEE ICC 2026.

Dengyi Liu, Ming Ma, Hua Fang, Honggang Wang, “Diff-MedSeg: Diffusion Model based Medical Image Segmentation with Multi-Channel Attention,” IEEE Transactions on Multimedia, 2026.

Zhen Hou, Yucheng Xie, Feng Li, Chengyi Liu, Honggang Wang, “DietWatch: Fine-grained and Robust Dietary Monitoring via Smartwatch in Real-World Scenarios,” IEEE Internet of Things Journal, 2026.

A. Beary, L. Xia, Y. Yuan, H. Wang, M. Ma. Medical Text and Image Reasoning for Radiation Oncology via Large Language Model. In IEEE International Symposium on Biomedical Imaging (ISBI 2025), 2025.

M.B. Mollah, H. Wang, M.A. Karim, H. Fang, “Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework,” IEEE Transactions on Vehicular Technology, pp. 1-13, 2026.

Liu Dengyi, Wang Honggang, Fang Hua, “Fuzzy Deep Neural Network for Health Information Prediction in Longitudinal Data,” 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025.

Dengyi Liu, Ming Ma, Hua Fang, Honggang Wang, “PolypSEAG-Net: Enhanced Polyp Segmentation with Attention Gates and Squeeze-and-Excitation,” 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

M.B. Mollah, H. Wang, M.A. Karim, H. Fang, “Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning,” IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 327-341, 2026.

Nobel Ashikur, Honggang Wang, Hua Fang (2025, May). Smart Ring based Digital Twin for Healthcare Application. In IEEE INFOCOM 2025 – Best Poster Award.

Ye Liu, Honggang Wang, and Mikael Gidlund, “Concurrent Wireless Power Transfer in the Internet of Batteryless Things: Experiment and Modeling,” IEEE Transactions on Mobile Computing, 2025.

Ye Liu, Mikael Gidlund, Honggang Wang, and Gerhard Petrus Hancke, “Autonomous Networked Wireless Power Transfer for the Internet of Batteryless Things: Future Vision and Research Opportunities,” IEEE Wireless Communications, 2025.

M.B. Mollah, H. Wang, M.A. Karim, H. Fang, “mmWave Enabled Connected Autonomous Vehicles: A Use Case with V2V Cooperative Perception,” IEEE Network, vol. 38, no. 6, pp. 485-492, Nov. 2024.

Ye Liu, Honggang Wang, Yucheng Xie, and Ashikur Nobel, “When Drone-Vehicle Networks Meets mmWave Communications: Current Status, Challenges, and Future Research Directions,” IEEE Wireless Communications, 2025.

Dengyi Liu, Honggang Wang, Xin Xiang, Hua Fang, “Digital Twin in Healthcare and Medical Field: A Review,” Pattern Recognition and Computer Vision in the New AI Era, 2025, pp. 247-271.

Dengyi Liu, Honggang Wang, Hua Fang, “A Neural Network Model for Autonomous Vehicles Safety Check Using Camera-only/Camera-Lidar Images,” 2025 International Conference on Computing, Networking and Communications (ICNC).

P. Ghasemzadeh*, M. Hempel, H. Wang and H. Sharif, “GGCNN: An Efficiency-Maximizing Gated Graph Convolutional Neural Network Architecture for Automatic Modulation Identification,” IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2023.3239311.

L. Song, W. Valentine, Q. Yang, H. Wang, H. Fang and Y. Liu, “BB-Align: A Lightweight Pose Recovery Framework for Vehicle-to-Vehicle Cooperative Perception,” 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), Jersey City, NJ, USA, 2024, pp. 1016-1026, doi: 10.1109/ICDCS60910.2024.00098.

K. Chen, R. Vinjamuri, H. Wang and S. P. Kadiyala, “Generative AI Based Difficulty Level Design of Serious Games for Stroke Rehabilitation,” IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3450653.