| Characterizing quantum supremacy in near-term devices S Boixo, SV Isakov, VN Smelyanskiy, R Babbush, N Ding, Z Jiang, ... Nature Physics 14 (6), 595-600, 2018 | 883 | 2018 |
| Scalable quantum simulation of molecular energies PJJ O’Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ... Physical Review X 6 (3), 031007, 2016 | 865 | 2016 |
| Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning P Sharma, N Ding, S Goodman, R Soricut Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 741 | 2018 |
| Large-scale object classification using label relation graphs J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ... European conference on computer vision, 48-64, 2014 | 453 | 2014 |
| What is the computational value of finite-range tunneling? VS Denchev, S Boixo, SV Isakov, N Ding, R Babbush, V Smelyanskiy, ... Physical Review X 6 (3), 031015, 2016 | 450 | 2016 |
| Bayesian sampling using stochastic gradient thermostats N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H Neven Advances in Neural Information Processing Systems, 3203-3211, 2014 | 220 | 2014 |
| On the convergence of stochastic gradient MCMC algorithms with high-order integrators C Chen, N Ding, L Carin Advances in neural information processing systems 28, 2015 | 162 | 2015 |
| Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts S Changpinyo, P Sharma, N Ding, R Soricut Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 100 | 2021 |
| Robust classification with adiabatic quantum optimization VS Denchev, N Ding, SVN Vishwanathan, H Neven International Conference on Machine Learning, 2012 | 60 | 2012 |
| SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation Y Zhang, N Ding, R Soricut NAACL 2018, 2018 | 49 | 2018 |
| THU and ICRC at TRECVID 2007. J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, D Wang, X Liu, C Liu, ... TRECVID, 2007 | 46 | 2007 |
| Cold-Start Reinforcement Learning with Softmax Policy Gradient N Ding, R Soricut Advances in Neural Information Processing Systems, 2017, 2017 | 38 | 2017 |
| Differential topic models C Chen, W Buntine, N Ding, L Xie, L Du Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 230-242, 2015 | 37 | 2015 |
| Dependent hierarchical normalized random measures for dynamic topic modeling C Chen, N Ding, W Buntine International Conference on Machine Learning, 2012 | 33 | 2012 |
| Histogram-based estimation of distribution algorithm: A competent method for continuous optimization N Ding, SD Zhou, ZQ Sun Journal of computer science and technology 23 (1), 35-43, 2008 | 33 | 2008 |
| Nonparametric Bayesian matrix factorization by Power-EP N Ding, Y Qi, R Xiang, I Molloy, N Li International Conference on Artificial Intelligence and Statistics, 169-176, 2010 | 30 | 2010 |
| Do Transformer Modifications Transfer Across Implementations and Applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... EMNLP 2021, 2021 | 29 | 2021 |
| Probabilistic Label Relation Graphs with Ising Models N Ding, J Deng, K Murphy, H Neven International Conference on Computer Vision, ICCV 2015, 2015 | 29 | 2015 |
| Variational nonparametric Bayesian hidden Markov model N Ding, Z Ou 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 27 | 2010 |
| Stochastic gradient MCMC with stale gradients C Chen, N Ding, C Li, Y Zhang, L Carin Advances in Neural Information Processing Systems 29, 2016 | 24 | 2016 |
Hartmut NevenVP Engineering, Quantum AI, Google在 google.com 的电子邮件经过验证
