| 2024 | Variational Covariance Smoothing for Dynamic Functional Connectivity Analysis. | Ruwanthi Abeysekara, Jonathan Z. Simon, Behtash Babadi |
| 2024 | SRS Compression for Cloud RAN Massive MIMO. | Javad Abdoli, Avik Sengupta, Daewon Lee, Bishwarup Mondal, Thushara Hewavithana |
| 2024 | Temporal Analysis of Infectious Diseases. | Lavanya Shri S. A., Mahesh K. Banavar |
| 2023 | Random Orthogonalization for Private Wireless Federated Learning. | Sadaf ul Zuhra, Mohamed Seif, Karim Banawan, H. Vincent Poor |
| 2023 | Esprit for Time-Delay Estimation for Radar Employing Stretch Processing with a Linear FM Chirp. | Michael D. Zoltowski, Mark R. Bell, Steve Rausch |
| 2023 | Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks. | Matthew R. Ziemann, Christopher A. Metzler |
| 2023 | Mode Connectivity in Federated Learning with Data Heterogeneity. | Tailin Zhou, Jun Zhang, Danny H. K. Tsang |
| 2023 | Privacy-Preserving Clustered Peer-to-Peer Learning. | Xue Zheng, Aylin Yener |
| 2023 | 4D Automotive Radar Exploiting Sparse Array Optimization and Compressive Sensing. | Ruxin Zheng, Shunqiao Sun, Wesley Kuo, Theagenis J. Abatzoglou, Matthew Markel |
| 2023 | Bethe Free Energy and Extrinsics in Approximate Message Passing. | Zilu Zhao, Dirk Slock |
| 2023 | A Novel Scheme for Cache-Aided Multiuser Private Information Retrieval with User-to-User Privacy. | Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire |
| 2023 | An Efficient Hardware Accelerator of High-Speed NTT for CRYSTALS-Kyber Post-Quantum Cryptography. | Zhuoyao Zhang, Yijun Cui, Ziying Ni, Chenghua Wang, Weiqiang Liu |
| 2023 | URLLC in IRS-Aided MIMO Systems: Finite Blocklength Analysis and Design. | Xin Zhang, Shenghui Song |
| 2023 | Trust, but Verify: Robust Image Segmentation using Deep Learning. | Fahim Ahmed Zaman, Xiaodong Wu, Weiyu Xu, Milan Sonka, Raghuraman Mudumbai |
| 2023 | Semantic-aware Real-time Tracking of a Markov Source under Sampling and Transmission Costs. | Abolfazl Zakeri, Mohammad Moltafet, Marian Codreanu |
| 2023 | Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. | Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani |
| 2023 | Streaming Low-Rank Matrix Data Assimilation and Change Identification. | Henry Shaowu Yuchi, Matthew Repasky, Terry Ma, Yao Xie |
| 2023 | Integration of Index and Differential Modulation for Non-coherent Grant-free NOMA. | Eiji Yoshimura, Takanori Hara, Kenichi Higuchi |
| 2023 | Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability. | Jirong Yi, Myung Cho, Jingchao Gao, Xiaodong Wu, Weiyu Xu, Raghu Mudumbai |
| 2023 | Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. | Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussire, Stphane Paquelet, Olav Tirkkonen, Luc Le Magoarou |
| 2023 | Reward Attack on Stochastic Bandits with Non-Stationary Rewards. | Chenye Yang, Guanlin Liu, Lifeng Lai |
| 2023 | Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. | Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir |
| 2023 | Federated Learning for Massive MIMO Power Allocation. | Yushu Yan, Xiangyu Chang, Basak Guler, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Ananthram Swami |
| 2023 | An Iterative 2-D DOA Estimation Approach for L-shaped Nested Array. | Feng Xu, Sergiy A. Vorobyov |
| 2023 | Generalized Optimization of Sparse Antenna Arrays for High-Resolution Automotive Radar Imaging. | Lifan Xu, Shunqiao Sun, Ryan We, Dongyin Ren, Jun Li |