Jiazhen He
Title
Cited by
Cited by
Year
Identifying at-risk students in massive open online courses
J He, J Bailey, B Rubinstein, R Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
1702015
Naive bayes classifier for positive unlabeled learning with uncertainty
J He, Y Zhang, X Li, Y Wang
Proceedings of the 2010 SIAM international conference on data mining, 361-372, 2010
292010
Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty
J He, Y Zhang, X Li, P Shi
International journal of systems science 43 (10), 1805-1825, 2012
222012
Exploiting transitive similarity and temporal dynamics for similarity search in heterogeneous information networks
J He, J Bailey, R Zhang
International Conference on Database Systems for Advanced Applications, 141-155, 2014
192014
MOOCs meet measurement theory: a topic-modelling approach
J He, BIP Rubinstein, J Bailey, R Zhang, S Milligan, J Chan
Thirtieth AAAI Conference on Artificial Intelligence, 2016
122016
Bayesian classifiers for positive unlabeled learning
J He, Y Zhang, X Li, Y Wang
International Conference on Web-Age Information Management, 81-93, 2011
122011
Molecular optimization by capturing chemist’s intuition using deep neural networks
J He, H You, E Sandström, E Nittinger, EJ Bjerrum, C Tyrchan, ...
Journal of cheminformatics 13 (1), 1-17, 2021
82021
Levenshtein Augmentation Improves Performance of SMILES Based Deep-Learning Synthesis Prediction
D Sumner, J He, A Thakkar, O Engkvist, EJ Bjerrum
32020
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums
S Milligan, J He, J Bailey, R Zhang, BIP Rubinstein
proceedings of the sixth international conference on learning analytics …, 2016
32016
Transformer Neural Network for Structure Constrained Molecular Optimization
J He, F Mattsson, M Forsberg, EJ Bjerrum, O Engkvist, C Tyrchan, ...
12021
Chemformer: A Pre-Trained Transformer for Computational Chemistry
R Irwin, S Dimitriadis, J He, E Bjerrum
2021
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs
J He, BIP Rubinstein, J Bailey, R Zhang, S Milligan
arXiv preprint arXiv:1607.08720, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–12