Author

Nan Ding

Google - Cited by 6,298 - Machine Learning - Quantum Computation

Biography

Nan Ding is a CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaTo provide research support work such as translations, data collections, data analysis, conducting interview and interview transcriptions;To make contributions to publish research work;To contribute to research funding applications;To contribute to faculty’s research programme by carrying out specific research, research related, and analytical activities        
Title
Cited by
Year
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
P Sharma, N Ding, S Goodman, R SoricutProceedings of the 56th Annual Meeting of the Association for Computational …, 2018201
2018
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, 2018201
2018
Scalable quantum simulation of molecular energies
PJJ O’Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ...Physical Review X 6 (3), 031007, 2016201
2016
Large-scale object classification using label relation graphs
J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ...Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014201
508
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, 2016201
506
2016
Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts
S Changpinyo, P Sharma, N Ding, R SoricutProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021202
374
2021
Bayesian sampling using stochastic gradient thermostats
N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H NevenAdvances in Neural Information Processing Systems, 3203-3211, 2014201
243
2014
On the convergence of stochastic gradient MCMC algorithms with high-order integrators
C Chen, N Ding, L CarinAdvances in neural information processing systems 28, 2015201
178
2015
Pali: A jointly-scaled multilingual language-image model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...arXiv preprint arXiv:2209.06794, 2022202
136
2022
Do Transformer Modifications Transfer Across Implementations and Applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...EMNLP 2021, 2021202
66
2021
Robust classification with adiabatic quantum optimization
VS Denchev, N Ding, SVN Vishwanathan, H NevenInternational Conference on Machine Learning, 2012201
64
2012
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Y Zhang, N Ding, R SoricutNAACL 2018, 2018201
54
2018
Cold-Start Reinforcement Learning with Softmax Policy Gradient
N Ding, R SoricutAdvances in Neural Information Processing Systems, 2017, 2017201
45
2017
Talking-heads attention
N Shazeer, Z Lan, Y Cheng, N Ding, L HouarXiv preprint arXiv:2003.02436, 2020202
39
2020
Differential topic models
C Chen, W Buntine, N Ding, L Xie, L DuPattern Analysis and Machine Intelligence, IEEE Transactions on (2), 230-242, 2015201
37
2015
Dependent hierarchical normalized random measures for dynamic topic modeling
C Chen, N Ding, W BuntineInternational Conference on Machine Learning, 2012201
34
2012
Probabilistic Label Relation Graphs with Ising Models
N Ding, J Deng, K Murphy, H NevenInternational Conference on Computer Vision, ICCV 2015, 2015201
31
2015
Variational nonparametric Bayesian hidden Markov model
N Ding, Z Ou2010 IEEE international conference on acoustics, speech and signal …, 2010201
29
2010
Stochastic gradient MCMC with stale gradients
C Chen, N Ding, C Li, Y Zhang, L CarinAdvances in Neural Information Processing Systems 29, 2016201
28
2016
All you may need for vqa are image captions
S Changpinyo, D Kukliansky, I Szpektor, X Chen, N Ding, R SoricutarXiv preprint arXiv:2205.01883, 2022202
26
2022