Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs AE Ghassami, A Yang, N Kiyavash, K Zhang 37th International Conference on Machine Learning (ICML), 2020 | 27 | 2020 |
Causal Inference with Hidden Mediators AE Ghassami, A Yang, I Shpitser, ET Tchetgen arXiv preprint arXiv:2111.02927, 2023 | 11 | 2023 |
Machine learning for circuit aging simulation E Rosenbaum, J Xiong, A Yang, Z Chen, M Raginsky 2020 IEEE International Electron Devices Meeting (IEDM), 39.1. 1-39.1. 4, 2020 | 11 | 2020 |
Combining experimental and observational data for identification and estimation of long-term causal effects AE Ghassami, A Yang, D Richardson, I Shpitser, ET Tchetgen arXiv preprint arXiv:2201.10743, 2022 | 10 | 2022 |
Input-to-state stable neural ordinary differential equations with applications to transient modeling of circuits A Yang, J Xiong, M Raginsky, E Rosenbaum Learning for Dynamics and Control Conference, 663-675, 2022 | 6 | 2022 |
Neural networks for transient modeling of circuits J Xiong, AS Yang, M Raginsky, E Rosenbaum 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD), 1-7, 2021 | 6 | 2021 |
Binary sequence set optimization for CDMA applications via mixed-integer quadratic programming A Yang, T Mina, G Gao ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
Model-Augmented Estimation of Conditional Mutual Information for Feature Selection A Yang, AE Ghassami, M Raginsky, N Kiyavash, E Rosenbaum 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020 | 5* | 2020 |
An interpretable predictive model for early detection of hardware failure A Balakir, A Yang, E Rosenbaum 2020 IEEE International Reliability Physics Symposium (IRPS), 1-5, 2020 | 4 | 2020 |
Spreading code sequence design via mixed-integer convex optimization A Yang, T Mina, G Gao Proceedings of the 36th International Technical Meeting of the Satellite …, 2023 | 2 | 2023 |
Designing long gps memory codes using the cross entropy method T Mina, A Yang, G Gao Proceedings of the 36th International Technical Meeting of the Satellite …, 2023 | 2 | 2023 |
Input-to-state stable continuous time recurrent neural networks for transient circuit simulation A Yang University of Illinois at Urbana-Champaign, 2021 | 2 | 2021 |
Fast Spreading Code Optimization Under Doppler Effects A Yang, T Mina, G Gao Proceedings of the 2024 International Technical Meeting of The Institute of …, 2024 | 1 | 2024 |
Data-Driven Compact Modeling of Bipolar Junction Transistors with Recurrent Neural Networks. B Paskaleva, V Shitole, E Rosenbaum, J Hanson, A Yang, P Kuberry Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 1 | 2021 |
Spreading Code Optimization for Low-Earth Orbit Satellites via Mixed-Integer Convex Programming A Yang, T Mina, G Gao arXiv preprint arXiv:2404.12629, 2024 | | 2024 |
Value-gradient iteration with quadratic approximate value functions A Yang, S Boyd Annual Reviews in Control 56, 100917, 2023 | | 2023 |
Neural Ordinary Differential Equation Models of Circuits: Capabilities and Pitfalls J Xiong, A Yang, M Raginsky, E Rosenbaum IEEE Transactions on Microwave Theory and Techniques 70 (11), 4869-4884, 2022 | | 2022 |
Non-Convex Follow the Perturbed Leader ECE 543 Final Project A Yang | | 2019 |
Data-driven Reliability for Datacenter Hard Disk Drives A Yang, AE Ghassami, E Rosenbaum, N Kiyavash EDFA Technical Articles 21 (2), 16-20, 2019 | | 2019 |
Adaptive wavelet stochastic collocation for resonant transmission line circuits AS Yang, X Chen, JE Schutt-Ainé, AC Cangellaris 2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging …, 2017 | | 2017 |