Zhen He Publications

Kristen Moore, Shenjun Zhong, Zhen He , Torsten Rudolf, Nils Fisher, Brandon Victor, Neha Jindal, A comprehensive solution to retrieval-based chatbot construction, Computer Speech & Language, October, 2023

Emmanuel Kuntsche, Zhen He , Albert Bonela, Benjamin Riordan, Zero-shot learning has the potential to revolutionise research on exposure to alcohol and other drugs in digital media, International Journal of Drug Policy, August, 2023.

Albert Bonela, Aiden Nibali, Zhen He , Benjamin Riordan, Dan Anderson-Luxford, Emmanuel Kuntsche, The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm, scientific reports nature, July, 2023.

Min Luo, Zhen He , Hui Cui, Yi-Peng Phoebe Chen, Phillip Ward, Class activation attention transfer neural networks for MCI conversion prediction,Computers in Biology and Medicine, April, 2023.

Albert Bonela, Zhen He , Aiden Nibali, Thomas Norman, Peter G. Miller and Emmanuel Kuntsche, Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA), Alcohol, Dec, 2022.

Haritha Thilakarathne, Aiden Nibali, Zhen He , Stuart Morgan, Pose is all you need: the pose only group activity recognition system (POGARS), Machine Vision and Applications, Nov, 2022.

Md Sohel Rana, Aiden Nibali, Zhen He , Selection of object detections using overlap map predictions, Neural Computing and Applications, Nov, 2022.

Abraham Albert Bonela, Zhen He , Thomas Norman, Emmanuel Kuntsche , Development and validation of the Alcoholic Beverage Identification Deep Learning Algorithm Version 2 (ABIDLA2) for quantifying alcohol exposure in electronic images, Alcoholism: Clinical and Experimental Research, Oct, 2022.

Tri Huynh, Aiden Nibali and Zhen He , Semi-supervised learning for medical image classification using imbalanced training data, Computer Methods and Programs in Biomedicine, April, 2022.

Thomas William Norman, Abraham Albert Bonela, Zhen He and Daniel Angus, Connected and consuming: applying a deep learning algorithm to quantify alcoholic beverage prevalence in user-generated Instagram images, Drugs: Education, Prevention and Policy, Jan, 2022.

Robert T. Furbank, Viridiana Silva-Perez, John R. Evans, Anthony G. Condon, Gonzalo M. Estavillo, Wennan He, Saul Newman, Richard Poire, Ashley Hall and Zhen He , Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning, Plant Methods, 2021.

Aiden Nibali, Joshua Millward, Zhen He , Stuart Morgan, ASPset: An outdoor sports pose video dataset with 3D Keypoint annotations, Image and Vision Computing, May, 2021.

Brandon Victor, Aiden Nibali, Zhen He , David Carey, Enhancing trajectory prediction using sparse outputs: application to team sports, Neural Computing and Applications, March, 2021.

Ashley Hall, Brandon Victor, Zhen He , Matthias Langer, Marc Elipot, Aiden Nibali, Stuart Morgan The detection, tracking and temporal action localisation of swimmers for automated analysis, Neural Computing and Applications, Jun, 2021.

Jing Meng, Brandon Victor, Zhen He , Hongde Liu and Taijiao Jiang DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network, Accepted to Briefings in Bioinformatics, Jul, 2021.

Md Sohel Rana, Aiden Nibali, Zhen He , Stuart Morgan Automated repair of fragemented tracks with 1D CNNs, Image and Vision Computing, 2020.

Matthias Langer, Zhen He , Wenny Rahayu, Yanbo Xue Distributed Training of Deep Learning Models: A Taxonomic Perspective IEEE Transactions on Parallel and Distributed Systems, 2020.

Emmanuel Kuntsche, Abraham Albert Bonela, Gabriel Caluzzi, Mia Miller, Zhen He Quantifying Exposure to Beer, Wine and Champagne in the Media: Development of a Deep-Learning Computer Algorithm Drug and Alcohol Review, 38(S1), S62, 2020.

Emmanuel Kuntsche, Abraham Albert Bonela, Gabriel Caluzzi, Mia Miller, Zhen He How much are we exposed to alcohol in electronic media? Development of the Alcoholic Beverage Identification Deep Learning Algorithm (ABIDLA). Drug and Alcohol Dependence, vol 208, 2020.

Matthias Langer, Ashley Hall, Zhen He, and Wenny Rahayu, MPCA SGD - A method for distributed training of deep learning models on Spark, IEEE Transactions on Parallel and Distributed System, Vol 29, Issue 11, 2018.

Sheng Xun Yang, Zhen He, and Phoebe Chen, GCOTraj: A Storage Approach for Historical Trajectory Data Sets Using Grid Cells Ordering, Information Sciences, Vol 459, 2018.

Aiden Nibali, Zhen He, and Dennis Wollersheim, Pulmonary nodule classification with deep residual networks, International Journal of Computer Assisted Radiology and Surgery, vol 12, no. 3, 2017.

Saad Aljubayrin, Jianzhong Qi, Christian S. Jenson, Rui Zhang, Zhen He, Yuan Li, Finding Lowest-Cost Paths in Settings with Safe and Preferred Zones, VLDB Journal, vol 26, no. 3, 2017.

Trieu Minh Le, Jinli Cao and Zhen He , Answering skyline queries on probabilistic data using the dominance of probabilistic skyline tuples, Information Sciences, Vols. 340-341, 2016.

Shengxun Yang, Zhen He and Yi-Ping Phoebe Chen, Workload-based Ordering of Multi-dimensional Data, IEEE Tranactions on Data and Knowledge Engineering (TKDE), vol 28, no 3, 2016.

Steven Begley, Zhen He, Yi-Ping Phoebe Chen, PaMeCo Join: A Parallel Main Memory Compact Hash Join, Information Systems, accepted for publication, October 2015.

Aiden Nibali, Zhen He, Trajic: An Effective Compression System for Trajectory Data, IEEE Transactions on Data and Knowledge Engineering (TKDE), vol 27, no. 11, 2015.

Thi Nguyen, Zhen He, Rui Zhang and Philip G. D. Ward, Exploiting velocity distribution skew to speed up moving object indexing, Information Systems, vol 51, 2015.