| Towards k-means-friendly spaces: Simultaneous deep learning and clustering B Yang, X Fu, ND Sidiropoulos, M Hong international conference on machine learning, 3861-3870, 2017 | 1170 | 2017 |
| Robust volume minimization-based matrix factorization for remote sensing and document clustering X Fu, K Huang, B Yang, WK Ma, ND Sidiropoulos IEEE Transactions on Signal Processing 64 (23), 6254-6268, 2016 | 131 | 2016 |
| Contrastive unsupervised learning for speech emotion recognition M Li, B Yang, J Levy, A Stolcke, V Rozgic, S Matsoukas, C Papayiannis, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 69 | 2021 |
| Learning from hidden traits: Joint factor analysis and latent clustering B Yang, X Fu, ND Sidiropoulos IEEE Transactions on Signal Processing 65 (1), 256-269, 2016 | 53 | 2016 |
| Driving in real life with inverse reinforcement learning T Phan-Minh, F Howington, TS Chu, SU Lee, MS Tomov, N Li, C Dicle, ... arXiv preprint arXiv:2206.03004, 2022 | 34 | 2022 |
| Sentiment-aware automatic speech recognition pre-training for enhanced speech emotion recognition A Ghriss, B Yang, V Rozgic, E Shriberg, C Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 29 | 2022 |
| Parasketch: Parallel tensor factorization via sketching B Yang, A Zamzam, ND Sidiropoulos Proceedings of the 2018 SIAM International Conference on Data Mining, 396-404, 2018 | 29 | 2018 |
| Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems S Lu, M Razaviyayn, B Yang, K Huang, M Hong Advances in Neural Information Processing Systems 33, 2811-2822, 2020 | 27 | 2020 |
| Driveirl: Drive in real life with inverse reinforcement learning T Phan-Minh, F Howington, TS Chu, MS Tomov, RE Beaudoin, SU Lee, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 1544-1550, 2023 | 25 | 2023 |
| Learning nonlinear mixtures: Identifiability and algorithm B Yang, X Fu, ND Sidiropoulos, K Huang IEEE Transactions on Signal Processing 68, 2857-2869, 2020 | 17 | 2020 |
| Energy storage management via deep Q-networks AS Zamzam, B Yang, ND Sidiropoulos 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 15 | 2019 |
| Snap: Finding approximate second-order stationary solutions efficiently for non-convex linearly constrained problems S Lu, M Razaviyayn, B Yang, K Huang, M Hong arXiv preprint arXiv:1907.04450, 2019 | 13 | 2019 |
| Adcnet: End-to-end perception with raw radar adc data B Yang, I Khatri, M Happold, C Chen arXiv preprint arXiv:2303.11420, 69, 2023 | 10 | 2023 |
| Tensor completion via group-sparse regularization B Yang, G Wang, ND Sidiropoulos 2016 50th Asilomar Conference on Signals, Systems and Computers, 1750-1754, 2016 | 10 | 2016 |
| On the degrees of freedom region of general MIMO broadcast channel with mixed CSIT B Yang, D Wang, J Sun, Y Liu 2013 IEEE International Symposium on Information Theory, 937-941, 2013 | 9 | 2013 |
| Towards k-means-friendly spaces: simultaneous deep learning and clustering (2016) B Yang, X Fu, ND Sidiropoulos, M Hong arXiv preprint arXiv:1610.04794, 0 | 9 | |
| Large scale tensor factorization via parallel sketches B Yang, AS Zamzam, ND Sidiropoulos IEEE Transactions on Knowledge and Data Engineering 34 (1), 365-378, 2020 | 8 | 2020 |
| Joint factor analysis and latent clustering B Yang, X Fu, ND Sidiropoulos 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 7 | 2015 |
| Xpl-cf: Explainable embeddings for feature-based collaborative filtering FM Almutairi, ND Sidiropoulos, B Yang Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| ADCNet: Learning from Raw Radar Data via Distillation B Yang, I Khatri, M Happold, C Chen arXiv preprint arXiv:2303.11420, 2023 | 2 | 2023 |
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of Virginia確認したメール アドレス: virginia.edu
