| A scalable FPGA engine for parallel acceleration of singular value decomposition Y Wang, JJ Lee, Y Ding, P Li 2020 21st International Symposium on Quality Electronic Design (ISQED), 370-376, 2020 | 10 | 2020 |
| Contrastive learning with consistent representations Z Wang, Y Wang, H Hu, P Li TMLR, 2023 | 6 | 2023 |
| A clock interpolation structure using DLL for clock distribution in ADC S Zhu, Y Wang, F Ye, J Xu 2017 IEEE 12th International Conference on ASIC (ASICON), 769-772, 2017 | 3 | 2017 |
| Autonf: Automated architecture optimization of normalizing flows with unconstrained continuous relaxation admitting optimal discrete solution Y Wang, J Drgoňa, J Zhang, KSN Suryanarayana, M Schram, F Liu, P Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10244 …, 2023 | 2 | 2023 |
| High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y Yin, Y Wang, P Li arXiv preprint arXiv:2305.02614, 2023 | 2 | 2023 |
| Algorithm and Hardware Co-Design for FPGA Acceleration of Hamiltonian Monte Carlo Based No-U-Turn Sampler Y Wang, P Li 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 2 | 2021 |
| ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models Y Yin, Y Wang, B Xu, P Li arXiv preprint arXiv:2406.18770, 2024 | 1 | 2024 |
| Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective Y Wang, Y Yin, P Li arXiv preprint arXiv:2409.18316, 2024 | | 2024 |
| Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Y Wang, Y Yin, KS NS, J Drgoňa, M Schram, M Halappanavar, F Liu, P Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15698 …, 2024 | | 2024 |
| Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory KS NS, Y Wang, M Schram, J Drgona, M Halappanavar, F Liu, P Li TMLR, 2023 | | 2023 |
