| Gaussian mixture graphical lasso with application to edge detection in brain networks H Yin, X Liu, X Kong 2020 IEEE International Conference on Big Data (Big Data), 1430-1435, 2020 | 7 | 2020 |
| Energy-efficient models for high-dimensional spike train classification using sparse spiking neural networks H Yin, JB Lee, X Kong, T Hartvigsen, S Xie Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 6 | 2021 |
| Coherent graphical lasso for brain network discovery H Yin, X Kong, X Liu 2018 IEEE International Conference on Data Mining (ICDM), 1392-1397, 2018 | 6 | 2018 |
| Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale W Wen, KH Liu, I Fedorov, X Zhang, H Yin, W Chu, K Hassani, M Sun, ... arXiv preprint arXiv:2311.08430, 2023 | 1 | 2023 |
| Multi-State Brain Network Discovery H Yin, Y Su, X Liu, T Hartvigsen, Y Li, X Kong 2023 IEEE International Conference on Big Data (BigData), 453-462, 2023 | | 2023 |
| AutoML for Large Capacity Modeling of Meta Ranking Systems H Yin, KH Liu, M Sun, Y Chen, B Zhang, J Liu, V Sehgal, RR Panchal, ... arXiv preprint arXiv:2311.07870, 2023 | | 2023 |
| Sparse Learning in Brain Networks and Brain-like Artificial Intelligence H Yin Worcester Polytechnic Institute, 2022 | | 2022 |
