| Improving the robustness of deep neural networks via stability training S Zheng, Y Song, T Leung, I Goodfellow Proceedings of the ieee conference on computer vision and pattern …, 2016 | 331 | 2016 |
| Long-term forecasting using tensor-train rnns R Yu, S Zheng, A Anandkumar, Y Yue Arxiv, 2017 | 69 | 2017 |
| Generating long-term trajectories using deep hierarchical networks S Zheng, Y Yue, P Lucey arXiv preprint arXiv:1706.07138, 2017 | 59 | 2017 |
| Novel deep learning methods for track reconstruction S Farrell, P Calafiura, M Mudigonda, D Anderson, JR Vlimant, S Zheng, ... arXiv preprint arXiv:1810.06111, 2018 | 48 | 2018 |
| The HEP. TrkX Project: deep neural networks for HL-LHC online and offline tracking S Farrell, D Anderson, P Calafiura, G Cerati, L Gray, J Kowalkowski, ... EPJ Web of Conferences 150, 00003, 2017 | 31 | 2017 |
| Generating multi-agent trajectories using programmatic weak supervision E Zhan, S Zheng, Y Yue, L Sha, P Lucey arXiv preprint arXiv:1803.07612, 2018 | 22 | 2018 |
| Generative multi-agent behavioral cloning E Zhan, S Zheng, Y Yue, L Sha, P Lucey arXiv, 2018 | 18 | 2018 |
| Naomi: Non-autoregressive multiresolution sequence imputation Y Liu, R Yu, S Zheng, E Zhan, Y Yue arXiv preprint arXiv:1901.10946, 2019 | 15 | 2019 |
| Screening of heterogeneous surfaces: charge renormalization of Janus particles N Boon, EC Gallardo, S Zheng, E Eggen, M Dijkstra, R Van Roij Journal of Physics: Condensed Matter 22 (10), 104104, 2010 | 14 | 2010 |
| Long-term forecasting using higher order tensor RNNs R Yu, S Zheng, A Anandkumar, Y Yue arXiv preprint arXiv:1711.00073, 2017 | 12 | 2017 |
| Fine-grained retrieval of sports plays using tree-based alignment of trajectories L Sha, P Lucey, S Zheng, T Kim, Y Yue, S Sridharan arXiv preprint arXiv:1710.02255, 2017 | 12 | 2017 |
| Learning chaotic dynamics using tensor recurrent neural networks R Yu, S Zheng, Y Liu Proceedings of the ICML 17, 2017 | 12 | 2017 |
| The ai economist: Improving equality and productivity with ai-driven tax policies S Zheng, A Trott, S Srinivasa, N Naik, M Gruesbeck, DC Parkes, R Socher arXiv preprint arXiv:2004.13332, 2020 | 10 | 2020 |
| Keeping your distance: Solving sparse reward tasks using self-balancing shaped rewards A Trott, S Zheng, C Xiong, R Socher arXiv preprint arXiv:1911.01417, 2019 | 10 | 2019 |
| The HEP. Trkx project: deep learning for particle tracking A Tsaris, D Anderson, J Bendavid, P Calafiura, G Cerati, J Esseiva, ... Journal of Physics: Conference Series 1085 (4), 042023, 2018 | 8 | 2018 |
| Detecting adversarial examples via neural fingerprinting S Dathathri, S Zheng, T Yin, RM Murray, Y Yue arXiv preprint arXiv:1803.03870, 2018 | 8 | 2018 |
| On the generalization gap in reparameterizable reinforcement learning H Wang, S Zheng, C Xiong, R Socher International Conference on Machine Learning, 6648-6658, 2019 | 7 | 2019 |
| Multi-agent counterfactual regret minimization for partial-information collaborative games M Hartley, S Zheng, Y Yue 31st conference on neural information processing systems (NIPS 2017), 2017 | 3 | 2017 |
| ESPRIT: Explaining Solutions to Physical Reasoning Tasks NF Rajani, R Zhang, YC Tan, S Zheng, J Weiss, A Vyas, A Gupta, C Xiong, ... arXiv preprint arXiv:2005.00730, 2020 | 2 | 2020 |
| Learning world graphs to accelerate hierarchical reinforcement learning W Shang, A Trott, S Zheng, C Xiong, R Socher arXiv preprint arXiv:1907.00664, 2019 | 2 | 2019 |
