Articles with public access mandates - Rong JinLearn more
Not available anywhere: 2
Reconstructing functional neuronal circuits using dynamic Bayesian networks
S Eldawlatly, Y Zhou, R Jin, K Oweiss
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
Mandates: US National Institutes of Health
Self-supervised learning from untrimmed videos via hierarchical consistency
Z Qing, S Zhang, Z Huang, Y Xu, X Wang, C Gao, R Jin, N Sang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023
Mandates: National Natural Science Foundation of China
Available somewhere: 71
Discriminative semi-supervised feature selection via manifold regularization
Z Xu, I King, MRT Lyu, R Jin
IEEE Transactions on Neural networks 21 (7), 1033-1047, 2010
Mandates: US National Institutes of Health
Semisupervised SVM batch mode active learning with applications to image retrieval
SCH Hoi, R Jin, J Zhu, MR Lyu
ACM Transactions on Information Systems (TOIS) 27 (3), 1-29, 2009
Mandates: US National Institutes of Health
Simple and efficient multiple kernel learning by group lasso
Z Xu, R Jin, H Yang, I King, MR Lyu
Proceedings of the 27th international conference on machine learning (ICML …, 2010
Mandates: US National Institutes of Health
Exclusive lasso for multi-task feature selection
Y Zhou, R Jin, SCH Hoi
Proceedings of the thirteenth international conference on artificial …, 2010
Mandates: US National Institutes of Health
Learning to rank by optimizing ndcg measure
H Valizadegan, R Jin, R Zhang, J Mao
Advances in neural information processing systems 22, 2009
Mandates: US National Institutes of Health
A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval
L Yang, R Jin, L Mummert, R Sukthankar, A Goode, B Zheng, SCH Hoi, ...
IEEE transactions on pattern analysis and machine intelligence 32 (1), 30-44, 2008
Mandates: US National Institutes of Health
Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient
T Yang, L Zhang, R Jin, J Yi
International Conference on Machine Learning, 449-457, 2016
Mandates: US National Science Foundation
First-order stochastic algorithms for escaping from saddle points in almost linear time
Y Xu, R Jin, T Yang
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation
Improved dynamic regret for non-degenerate functions
L Zhang, T Yang, J Yi, R Jin, ZH Zhou
Advances in Neural Information Processing Systems 30, 2017
Mandates: US National Science Foundation, National Natural Science Foundation of China
Dynamic regret of strongly adaptive methods
L Zhang, T Yang, ZH Zhou
International conference on machine learning, 5882-5891, 2018
Mandates: US National Science Foundation, National Natural Science Foundation of China
Batch mode active learning with applications to text categorization and image retrieval
SCH Hoi, R Jin, MR Lyu
IEEE Transactions on knowledge and data engineering 21 (9), 1233-1248, 2009
Mandates: US National Institutes of Health
Top rank optimization in linear time
N Li, R Jin, ZH Zhou
Advances in neural information processing systems 27, 2014
Mandates: National Natural Science Foundation of China
Identifying functional connectivity in large-scale neural ensemble recordings: a multiscale data mining approach
S Eldawlatly, R Jin, KG Oweiss
Neural computation 21 (2), 450-477, 2009
Mandates: US National Institutes of Health
On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles
S Eldawlatly, Y Zhou, R Jin, KG Oweiss
Neural computation 22 (1), 158-189, 2010
Mandates: US National Institutes of Health
Hybrid relation guided set matching for few-shot action recognition
X Wang, S Zhang, Z Qing, M Tang, Z Zuo, C Gao, R Jin, N Sang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Mandates: National Natural Science Foundation of China
Non-monotonic feature selection
Z Xu, R Jin, J Ye, MR Lyu, I King
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Mandates: US National Institutes of Health
Online stochastic linear optimization under one-bit feedback
L Zhang, T Yang, R Jin, Y Xiao, ZH Zhou
International Conference on Machine Learning, 392-401, 2016
Mandates: US National Science Foundation, National Natural Science Foundation of China
Ranking refinement and its application to information retrieval
R Jin, H Valizadegan, H Li
Proceedings of the 17th international conference on World Wide Web, 397-406, 2008
Mandates: US National Institutes of Health
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