Stephan Zheng
Stephan Zheng
Lead Research Scientist, Salesforce Research
Verified email at - Homepage
Cited by
Cited by
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
Long-term forecasting using tensor-train rnns
R Yu, S Zheng, A Anandkumar, Y Yue
Arxiv, 2017
Generating long-term trajectories using deep hierarchical networks
S Zheng, Y Yue, J Hobbs
Advances in Neural Information Processing Systems, 1543-1551, 2016
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
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
Generating multi-agent trajectories using programmatic weak supervision
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
arXiv preprint arXiv:1803.07612, 2018
Generative multi-agent behavioral cloning
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
arXiv, 2018
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
NAOMI: Non-autoregressive multiresolution sequence imputation
Y Liu, R Yu, S Zheng, E Zhan, Y Yue
Advances in Neural Information Processing Systems, 11238-11248, 2019
Long-term forecasting using higher order tensor RNNs
R Yu, S Zheng, A Anandkumar, Y Yue
arXiv preprint arXiv:1711.00073, 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
Learning chaotic dynamics using tensor recurrent neural networks
R Yu, S Zheng, Y Liu
ICML Workshop on Deep Structured Prediction 17, 2017
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, Art. No. 042023, 2018
Keeping your distance: Solving sparse reward tasks using self-balancing shaped rewards
A Trott, S Zheng, C Xiong, R Socher
Advances in Neural Information Processing Systems, 10376-10386, 2019
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
On the generalization gap in reparameterizable reinforcement learning
H Wang, S Zheng, C Xiong, R Socher
arXiv preprint arXiv:1905.12654, 2019
Detecting Adversarial Examples via Neural Fingerprinting
S Dathathri, S Zheng, T Yin, RM Murray, Y Yue
arXiv preprint arXiv:1803.03870, 2018
Multi-agent counterfactual regret minimization for partial-information collaborative games
M Hartley, S Zheng, Y Yue
White paper at CMU, 2017
Measuring the Robustness of Neural Networks via Minimal Adversarial Examples
S Dathathri, S Zheng, S Gao, RM Murray
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
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