Jiazhen He

According to our database, Jiazhen He authored at least 15 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluation of reinforcement learning in transformer-based molecular design.

Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist

J. Cheminformatics, December, 2024

PepINVENT: Generative peptide design beyond the natural amino acids.

Gökçe Geylan, Jon Paul Janet, Alessandro Tibo, Jiazhen He, Atanas Patronov, Mikhail Kabeshov, Florian David, Werngard Czechtizky, Ola Engkvist, Leonardo De Maria

CoRR, 2024

2023

Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification.

Yumeng Zhang, Janosch Menke, Jiazhen He, Eva Nittinger, Christian Tyrchan, Oliver Koch, Hongtao Zhao

J. Cheminformatics, December, 2023

2022

Chemformer: a pre-trained transformer for computational chemistry.

Ross Irwin, Spyridon Dimitriadis, Jiazhen He, Esben Jannik Bjerrum

Mach. Learn. Sci. Technol., 2022

Transformer-based molecular optimization beyond matched molecular pairs.

Jiazhen He, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Atanas Patronov, Esben Jannik Bjerrum, Ola Engkvist

J. Cheminformatics, 2022

2021

Molecular optimization by capturing chemist's intuition using deep neural networks.

Jiazhen He, Huifang You, Emil Sandström, Eva Nittinger, Esben Jannik Bjerrum, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist

J. Cheminformatics, 2021

An Effective Image Enhancement Method for Color Fundus Images.

Zhan Wang, SongPo Tian, Xin Fu, Jiazhen He

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2016

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs.

Jiazhen He, Rui Zhang, James Bailey, Benjamin I. P. Rubinstein, Sandra Milligan

CoRR, 2016

Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums.

Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin I. P. Rubinstein

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

MOOCs Meet Measurement Theory: A Topic-Modelling Approach.

Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Identifying At-Risk Students in Massive Open Online Courses.

Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks.

Jiazhen He, James Bailey, Rui Zhang

Proceedings of the Database Systems for Advanced Applications, 2014

2012

Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty.

Jiazhen He, Yang Zhang, Xue Li, Peng Shi

Int. J. Syst. Sci., 2012

2011

Bayesian Classifiers for Positive Unlabeled Learning.

Jiazhen He, Yang Zhang, Xue Li, Yong Wang

Proceedings of the Web-Age Information Management - 12th International Conference, 2011

2010

Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty.

Jiazhen He, Yang Zhang, Xue Li, Yong Wang

Proceedings of the SIAM International Conference on Data Mining, 2010