| 2024 | Object Tracking Incorporating Transfer Learning into an Unscented Kalman Filter. | Omar Alotaibi, Brian L. Mark |
| 2023 | C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. | Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa |
| 2023 | Distributed Policy Gradient with Heterogeneous Computations for Federated Reinforcement Learning. | Ye Zhu, Xiaowen Gong |
| 2023 | Improving Particle Thompson Sampling through Regenerative Particles. | Zeyu Zhou, Bruce E. Hajek |
| 2023 | Particle Thompson Sampling with Static Particles. | Zeyu Zhou, Bruce E. Hajek |
| 2023 | Optimal Decision Making with Rational Inattention Using Noisy Data. | Yuan Zhao, Atah Abdi, Mark Dean, Ali Abdi |
| 2023 | Heterogeneous Statistical QoS Provisioning for Scalable Software-Defined 6G Mobile Networks. | Xi Zhang, Qixuan Zhu, H. Vincent Poor |
| 2023 | Massive-MIMO Based RSMA Under Nakagami-m Channel Over 6G mURLLC Wireless Networks. | Xi Zhang, Qixuan Zhu, H. Vincent Poor |
| 2023 | The ε-Effective Capacity for Statistical Delay and Error-Rate Bounded QoS Provisioning Over 6G CF M-MIMO Wireless Networks Using HARQ-IR. | Xi Zhang, Jingqing Wang, H. Vincent Poor |
| 2023 | Multi-armed Bandit Learning on a Graph. | Tianpeng Zhang, Kasper Johansson, Na Li |
| 2023 | Teaching Reinforcement Learning Agents via Reinforcement Learning. | Kun Yang, Chengshuai Shi, Cong Shen |
| 2023 | Greedy Centroid Initialization for Federated K-means. | Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni |
| 2023 | An Overview of Quantum-Safe Approaches: Quantum Key Distribution and Post-Quantum Cryptography. | Guobin Xu, Jianzhou Mao, Eric Sakk, Shuangbao Paul Wang |
| 2023 | Offline Reinforcement Learning for Price-Based Demand Response Program Design. | Ce Xu, Bo Liu, Yue Zhao |
| 2023 | Maximum Zero-Outage Secrecy Capacity of Fading Wiretap Channels with Finite Alphabets. | Xiaoyang Xu, Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck |
| 2023 | Impedance Estimation at Multi-Antenna Receivers. | Shaohan Wu, Brian L. Hughes |
| 2023 | Learning of Doppler Tolerant Radar Detectors for Noise Waveforms. | Kyle P. Wensell, James Zhou, Alexander M. Haimovich, Evan A. Young, Lam T. Vo |
| 2023 | Strategic multi-task coordination over regular networks of robots with limited computation and communication capabilities. | Yi Wei, Marcos M. Vasconcelos |
| 2023 | Piecewise Linear and Stochastic Models for the Analysis of Cyber Resilience. | Michael J. Weisman, Alexander Kott, Joachim Vandekerckhove |
| 2023 | Active-IRS-Enabled Energy-Efficiency Optimizations for UAV-Based 6G Mobile Wireless Networks. | Fei Wang, Xi Zhang |
| 2023 | Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification. | Sajani Vithana, Sennur Ulukus |
| 2023 | Real-time Fitness Activity Recognition and Correction using Deep Neural Networks. | Michelle Mary Varghese, Sahana Ramesh, Sonali Kadham, V. M. Dhruthi, Preet Kanwal |
| 2023 | Near-optimal Sampling to Optimize Communication Over Discrete Memoryless Channels. | Michael A. Tope, Joel M. Morris |
| 2023 | A Novel Feature Selection Technique for Intrusion Detection System Using RF-RFE and Bio-inspired Optimization. | Zinia Anzum Tonni, Rashed Mazumder |
| 2023 | Towards Equalization of Mixed Multi-user OFDM Signals Over a Doubly-Dispersive Channel. | Kirsten Toland, Peter O. Taiwo, Arlene A. Cole-Rhodes |