| A reinforced topic-aware convolutional sequence-to-sequence model for abstractive text summarization L Wang, J Yao, Y Tao, L Zhong, W Liu, Q Du Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 183 | 2018 |
| DeepRacer: Autonomous racing platform for experimentation with sim2real reinforcement learning B Balaji, S Mallya, S Genc, S Gupta, L Dirac, V Khare, G Roy, T Sun, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 2746--2754, 2020 | 139* | 2020 |
| Robust Multi-Agent Reinforcement Learning with Model Uncertainty K Zhang, T Sun, Y Tao, S Genc, S Mallya, T Basar Advances in Neural Information Processing Systems, 2020 | 108 | 2020 |
| Dgrec: Graph neural network for recommendation with diversified embedding generation L Yang, S Wang, Y Tao, J Sun, X Liu, PS Yu, T Wang Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 102 | 2023 |
| Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function CH Liu, Y Tao, D Hsu, Q Du, SJL Billinge Foundations of Crystallography 75 (4), 633-643, 2019 | 78 | 2019 |
| Nonlocal diffusion and peridynamic models with Neumann type constraints and their numerical approximations Y Tao, X Tian, Q Du Applied Mathematics and Computation 305, 282-298, 2017 | 72 | 2017 |
| A peridynamic model of fracture mechanics with bond-breaking Q Du, Y Tao, X Tian Journal of Elasticity 132, 197-218, 2018 | 59 | 2018 |
| Explaining deep learning models-a bayesian non-parametric approach W Guo, S Huang, Y Tao, X Xing, L Lin Advances in Neural Information Processing Systems 2018, 4514--4524, 2018 | 59 | 2018 |
| Gated transformer for decoding human brain EEG signals Y Tao, T Sun, A Muhamed, S Genc, D Jackson, A Arsanjani, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 55 | 2021 |
| Nonlocal neural networks, nonlocal diffusion and nonlocal modeling Y Tao, Q Sun, Q Du, W Liu Advances in Neural Information Processing Systems (NIPS 2018) 2018, 2018 | 46 | 2018 |
| Hierarchical attention-based recurrent highway networks for time series prediction Y Tao, L Ma, W Zhang, J Liu, W Liu, Q Du arXiv preprint arXiv:1806.00685, 2018 | 41 | 2018 |
| Asymptotically compatible discretization of multidimensional nonlocal diffusion models and approximation of nonlocal Green’s functions Q Du, Y Tao, X Tian, J Yang IMA Journal of numerical analysis 39 (2), 607-625, 2019 | 38 | 2019 |
| Repaint: Knowledge transfer in deep reinforcement learning Y Tao, S Genc, J Chung, T Sun, S Mallya International conference on machine learning, 10141-10152, 2021 | 34 | 2021 |
| Robust a posteriori stress analysis for quadrature collocation approximations of nonlocal models via nonlocal gradients Q Du, Y Tao, X Tian, J Yang Computer Methods in Applied Mechanics and Engineering 310, 605-627, 2016 | 34 | 2016 |
| Nonlocal models with heterogeneous localization and their application to seamless local-nonlocal coupling Y Tao, X Tian, Q Du Multiscale Modeling & Simulation 17 (3), 1052-1075, 2019 | 33 | 2019 |
| Stochastic training of residual networks: a differential equation viewpoint Q Sun, Y Tao, Q Du arXiv preprint arXiv:1812.00174, 2018 | 27 | 2018 |
| A template-guided hybrid pointer network for knowledge-basedtask-oriented dialogue systems D Wang, Z Chen, W He, L Zhong, Y Tao, M Yang arXiv preprint arXiv:2106.05830, 2021 | 12 | 2021 |
| Zero-shot reinforcement learning with deep attention convolutional neural networks S Genc, S Mallya, S Bodapati, T Sun, Y Tao arXiv preprint arXiv:2001.00605, 2020 | 12 | 2020 |
| Video-teller: Enhancing cross-modal generation with fusion and decoupling H Liu, Q Fan, T Liu, L Yang, Y Tao, H Huang, R He, H Yang arXiv preprint arXiv:2310.04991, 2023 | 10 | 2023 |
| Vitar: Vision transformer with any resolution Q Fan, Q You, X Han, Y Liu, Y Tao, H Huang, R He, H Yang arXiv preprint arXiv:2403.18361, 2024 | 8 | 2024 |
Qiang DuFu Foundation Professor of Applied Mathematics, Columbia UniversityEmail confirmado em columbia.edu