| Bitcoin return volatility forecasting: A comparative study between GARCH and RNN Z Shen, Q Wan, DJ Leatham Journal of Risk and Financial Management 14 (7), 337, 2021 | 29 | 2021 |
| Video face recognition with audio-visual aggregation network Q Li, Q Wan, SH Lee, Y Choe Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 5 | 2021 |
| AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators Q Wan, Y Choe Neural Networks 154, 78-98, 2022 | 4 | 2022 |
| Bitcoin Return Volatility Forecasting: A Comparative Study of GARCH Model and Machine Learning Model Z Shen, Q Wan, DJ Leatham | 3 | 2019 |
| Action recognition and state change prediction in a recipe understanding task using a lightweight neural network model Q Wan, Y Choe arXiv preprint arXiv:2001.08665, 2020 | 2 | 2020 |
| AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit’s activation via adjoint operators Q Wan, SW Cheung, Y Choe Neural Networks 170, 55-71, 2024 | 1 | 2024 |
| Action recognition and state change prediction in a recipe understanding task using a lightweight neural network model (student abstract) Q Wan, Y Choe Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13945 …, 2020 | 1 | 2020 |
| Tail risk of coal futures in China's market Z Shen, M Wang, Q Wan Accounting & Finance 63, 2827-2845, 2023 | | 2023 |
| Reconstructing and Analyzing Effective Hypersurfaces From Convolutional Neural Network Layers Using AdjointBackMap Q Wan | | 2022 |
Yoonsuck ChoeProfessor of Computer Science and Engineering, Texas A&M UniversityVerified email at tamu.edu
Yoonsuck ChoeProfessor of Computer Science and Engineering, Texas A&M UniversityVerified email at tamu.edu