Localized random projections with applications to coherent array imaging. - Rakshith Sharma Srinivasa; Mark A. Davenport; Justin Romberg (Allerton, 2018)

Decentralized sketching of low rank matrices. - Rakshith Sharma Srinivasa; Kiryung Lee; Marius Junge; Justin Romberg (NeurIPS, 2019)

Sample complexity bounds for localized sketching. - Rakshith Sharma Srinivasa; Mark A. Davenport; Justin Romberg (AISTATS, 2020)

Localized sketching for matrix multiplication and ridge regression. - Rakshith Sharma Srinivasa; Mark A. Davenport; Justin Romberg (CoRR, 2020)

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. - Rakshith Sharma Srinivasa; Cao Xiao; Lucas Glass; Justin Romberg; Jimeng Sun 001 (CoRR, 2020)

Trading Beams for Bandwidth: Imaging with Randomized Beamforming. - Rakshith Sharma Srinivasa; Mark A. Davenport; Justin Romberg (SIAM J. Imaging Sci., 2020)

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. - Junyi Gao; Rakshith Sharma Srinivasa; Cheng Qian 001; Lucas M. Glass; Jeffrey Spaeder; Justin Romberg; Jimeng Sun 001; Cao Xiao (J. Am. Medical Informatics Assoc., 2021)

Subspace learning by randomized sketching. - Rakshith Sharma Srinivasa (2021)

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. - Cheng Qian 001; Kejun Huang; Lucas Glass; Rakshith Sharma Srinivasa; Jimeng Sun 001 (CoRR, 2022)

Clinical trial site matching with improved diversity using fair policy learning. - Rakshith Sharma Srinivasa; Cheng Qian 001; Brandon Theodorou; Jeffrey Spaeder; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2022)

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2023)

Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. - Chouchang Yang; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Ching Hua Lee; Yilin Shen; Hongxia Jin (INTERSPEECH, 2023)

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. - Rakshith Sharma Srinivasa; Jaejin Cho; Chouchang Yang; Yashas Malur Saidutta; Ching Hua Lee; Yilin Shen; Hongxia Jin (NeurIPS, 2023)

Iterative Broadband Source Localization. - Coleman DeLude; Rakshith Sharma Srinivasa; Santhosh Karnik; Christopher Hood; Mark A. Davenport; Justin Romberg (IEEE J. Sel. Areas Inf. Theory, 2023)

Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming. - Rakshith Sharma Srinivasa; Seonho Kim; Kiryung Lee (IEEE J. Sel. Areas Inf. Theory, 2023)

End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. - Suhas BN; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. - Jaejin Cho; Rakshith Sharma Srinivasa; Ching Hua Lee; Yashas Malur Saidutta; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. - Ching Hua Lee; Chouchang Yang; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Yilin Shen; Hongxia Jin (ICASSP, 2024)

CIFD: Controlled Information Flow to Enhance Knowledge Distillation. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (NeurIPS, 2024)

Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network. - Ching Hua Lee; Chouchang Yang; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (ICASSP, 2025)

MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2025)

RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. - Ching Hua Lee; Chouchang Yang; Jaejin Cho; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (CoRR, 2025)