Jiazhen He

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 11

Top Topics

Image Enhancement

Homomorphic Filtering

Computational Chemistry

Massive Open Online Courses

Top Venues

J. Cheminformatics

Mach. Learn. Sci. Technol.

Publications

Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist
Evaluation of reinforcement learning in transformer-based molecular design. J. Cheminformatics 16 (1) (2024)
Yumeng Zhang, Janosch Menke, Jiazhen He, Eva Nittinger, Christian Tyrchan, Oliver Koch, Hongtao Zhao
Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification. J. Cheminformatics 15 (1) (2023)
Ross Irwin, Spyridon Dimitriadis, Jiazhen He, Esben Jannik Bjerrum
Chemformer: a pre-trained transformer for computational chemistry. Mach. Learn. Sci. Technol. 3 (1) (2022)
Jiazhen He, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Atanas Patronov, Esben Jannik Bjerrum, Ola Engkvist
Transformer-based molecular optimization beyond matched molecular pairs. J. Cheminformatics 14 (1) (2022)
Jiazhen He, Huifang You, Emil Sandström, Eva Nittinger, Esben Jannik Bjerrum, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist
Molecular optimization by capturing chemist's intuition using deep neural networks. J. Cheminformatics 13 (1) (2021)
Zhan Wang, SongPo Tian, Xin Fu, Jiazhen He
An Effective Image Enhancement Method for Color Fundus Images. ACAI (2021)
Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. AAAI (2016)
Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin I. P. Rubinstein
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. LAK (2016)
Jiazhen He, Rui Zhang, James Bailey, Benjamin I. P. Rubinstein, Sandra Milligan
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. CoRR (2016)
Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. CoRR (2015)
Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang
Identifying At-Risk Students in Massive Open Online Courses. AAAI (2015)
Jiazhen He, James Bailey, Rui Zhang
Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. DASFAA (2) (2014)
Jiazhen He, Yang Zhang, Xue Li, Peng Shi
Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty. Int. J. Syst. Sci. 43 (10) (2012)
Jiazhen He, Yang Zhang, Xue Li, Yong Wang
Bayesian Classifiers for Positive Unlabeled Learning. WAIM (2011)
Jiazhen He, Yang Zhang, Xue Li, Yong Wang
Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty. SDM (2010)