Attend and diagnose: Clinical time series analysis using attention models H Song, D Rajan, J Thiagarajan, A Spanias Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 527 | 2018 |
Improve unsupervised domain adaptation with mixup training S Yan, H Song, N Li, L Zou, L Ren arXiv preprint arXiv:2001.00677, 2020 | 214 | 2020 |
Optimizing kernel machines using deep learning H Song, JJ Thiagarajan, P Sattigeri, A Spanias IEEE transactions on neural networks and learning systems 29 (11), 5528-5540, 2018 | 62 | 2018 |
Graph neural prompting with large language models Y Tian, H Song, Z Wang, H Wang, Z Hu, F Wang, NV Chawla, P Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19080 …, 2024 | 51 | 2024 |
GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention Models US Shanthamallu, JJ Thiagarajan, H Song, A Spanias IEEE Transactions on Neural Networks and Learning Systems, 2018 | 43 | 2018 |
SliceTeller: A data slice-driven approach for machine learning model validation X Zhang, JP Ono, H Song, L Gou, KL Ma, L Ren IEEE Transactions on Visualization and Computer Graphics 29 (1), 842-852, 2022 | 31 | 2022 |
A Deep Learning Approach to Multiple Kernel Fusion H Song, JJ Thiagarajan, P Sattigeri, KN Ramamurthy, A Spanias Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 28 | 2017 |
Triplet network with attention for speaker diarization H Song, M Willi, JJ Thiagarajan, V Berisha, A Spanias arXiv preprint arXiv:1808.01535, 2018 | 21 | 2018 |
Designing an effective metric learning pipeline for speaker diarization VS Narayanaswamy, JJ Thiagarajan, H Song, A Spanias ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 20 | 2019 |
Development of signal processing online labs using HTML5 and mobile platforms A Dixit, S Katoch, P Spanias, M Banavar, H Song, A Spanias 2017 IEEE Frontiers in Education Conference (FIE), 1-5, 2017 | 16 | 2017 |
Interactive visual pattern search on graph data via graph representation learning H Song, Z Dai, P Xu, L Ren IEEE Transactions on Visualization and Computer Graphics 28 (1), 335-345, 2021 | 9 | 2021 |
Consensus inference on mobile phone sensors for activity recognition H Song, JJ Thiagarajan, KN Ramamurthy, A Spanias, P Turaga Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 9 | 2016 |
Audio source separation via multi-scale learning with dilated dense u-nets VS Narayanaswamy, S Katoch, JJ Thiagarajan, H Song, A Spanias arXiv preprint arXiv:1904.04161, 2019 | 8 | 2019 |
Systems and methods for a triplet network with attention for speaker diartzation H Song, V Berisha, A Spanias, M Willi, J Thiagarajan US Patent 11,152,013, 2021 | 7 | 2021 |
Improved Deep Embeddings for Inferencing with Multi-Layered Networks H Song, JJ Thiagarajan arXiv preprint arXiv:1811.12156, 2018 | 7* | 2018 |
Auto-context modeling using multiple Kernel learning H Song, JJ Thiagarajan, KN Ramamurthy, A Spanias 2016 IEEE International Conference on Image Processing (ICIP), 1868-1872, 2016 | 7 | 2016 |
Attend and diagnose: Clinical time series analysis using attention models. arXiv 2017 H Song, D Rajan, JJ Thiagarajan, A Spanias arXiv preprint arXiv:1711.03905, 0 | 6 | |
Improved deep embeddings for inferencing with multi-layered graphs H Song, JJ Thiagarajan 2019 IEEE International Conference on Big Data (Big Data), 5394-5400, 2019 | 5 | 2019 |
Multidisciplinary modules on sensors and machine learning A Dixit, US Shanthamallu, A Spanias, S Rao, S Katoch, MK Banavar, ... ASEE Annual Conference and Exposition, Conference Proceedings 2018, 2018 | 5 | 2018 |
Systems and methods for a supra-fusion graph attention model for multi-layered embeddings and deep learning applications U Shanthamallu, J Thiagarajan, A Spanias, H Song US Patent 11,526,765, 2022 | 3 | 2022 |