Active learning from crowds Y Yan, GM Fung, R Rosales, JG Dy
Proceedings of the 28th international conference on machine learning (ICML …, 2011
424 2011 Modeling annotator expertise: Learning when everybody knows a bit of something Y Yan, R Rosales, G Fung, M Schmidt, G Hermosillo, L Bogoni, L Moy, ...
Proceedings of the thirteenth international conference on artificial …, 2010
261 2010 Learning from multiple annotators with varying expertise Y Yan, R Rosales, G Fung, R Subramanian, J Dy
Machine learning 95, 291-327, 2014
238 2014 Dynamic alteration of weights of ideal candidate search ranking model X Wu, Y Xu, SP Kanduri, V Dialani, Y Yan, VT Ha, A Gupta, SD Sinha
US Patent App. 15/169,413, 2017
123 2017 Medical coding classification by leveraging inter-code relationships Y Yan, G Fung, JG Dy, R Rosales
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
69 2010 Convex principal feature selection M Masaeli, Y Yan, Y Cui, G Fung, JG Dy
Proceedings of the 2010 SIAM international conference on data mining, 619-628, 2010
69 2010 LSTM Y Yan, Y Wang, WC Gao, BW Zhang, C Yang, XC Yin
Neural Processing Letters 47, 117-138, 2018
60 2018 Topochemical Synthesis of 2D Carbon Hybrids through Self‐Boosting Catalytic Carbonization of a Metal–Polymer Framework Q Zhang, Y Zhou, F Xu, H Lin, Y Yan, K Rui, C Zhang, Q Wang, Z Ma, ...
Angewandte Chemie International Edition 57 (50), 16436-16441, 2018
58 2018 Flexible phosphorus doped carbon nanosheets/nanofibers: electrospun preparation and enhanced Li-storage properties as free-standing anodes for lithium ion batteries D Li, D Wang, K Rui, Z Ma, L Xie, J Liu, Y Zhang, R Chen, Y Yan, H Lin, ...
Journal of Power Sources 384, 27-33, 2018
53 2018 Hydrogel self-templated synthesis of Na3V2 (PO4) 3@ C@ CNT porous network as ultrastable cathode for sodium-ion batteries Y Yan, Z Ma, H Lin, K Rui, Q Zhang, Q Wang, M Du, D Li, Y Zhang, J Zhu, ...
Composites Communications 13, 97-102, 2019
47 2019 Modeling multiple annotator expertise in the semi-supervised learning scenario Y Yan, R Rosales, G Fung, J Dy
arXiv preprint arXiv:1203.3529, 2012
47 2012 Active learning from multiple knowledge sources Y Yan, R Rosales, G Fung, F Farooq, B Rao, J Dy
Artificial Intelligence and Statistics, 1350-1357, 2012
39 2012 search by ideal candidates: next generation of talent search at linkedin V Ha-Thuc, Y Xu, S Kanduri, X Wu, V Dialani, Y Yan, A Gupta, S Sinha
25th international world wide web conference, 2016
36 2016 Generation of training data for ideal candidate search ranking model Y Yan, VT Ha, X Wu, SP Kanduri, V Dialani, Y Xu, A Gupta, SD Sinha
US Patent 10,606,847, 2020
32 2020 Using log data to train for automated sourcing V Dialani, SC Geyik, Y Yan, A Gupta
US Patent 10,628,506, 2020
30 2020 Biomedical literature classification with a CNNs-based hybrid learning network Y Yan, XC Yin, C Yang, S Li, BW Zhang
PloS one 13 (7), e0197933, 2018
29 2018 Learning document semantic representation with hybrid deep belief network Y Yan, XC Yin, S Li, M Yang, HW Hao
Computational intelligence and neuroscience 2015 (1), 650527, 2015
28 2015 Query building for search by ideal candidates Y Xu, VT Ha, X Wu, SP Kanduri, V Dialani, Y Yan, A Gupta, SD Sinha
US Patent 10,984,385, 2021
25 2021 Smart suggestions for query refinements X Wu, SP Kanduri, V Dialani, Y Xu, Y Yan, VT Ha, A Gupta, SD Sinha
US Patent 10,373,075, 2019
21 2019 A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic Z Liu, Y Yan, M Hauskrecht
SIGIR '18 The 41st International ACM SIGIR Conference on Research …, 2018
20 2018 
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityVerifisert e-postadresse på ece.neu.edu
