John Park

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 11

Top Topics

Job Shop Scheduling

Genetic Programming

Top Venues

GECCO (Companion)

Australasian Conference on Artificial Intelligence

Publications

Andrea Gregg, John Park, Casey Fenton, Dena Lang, Meg Handley
Exploring the "Why" of Micro-Credentials and Digital Badges: Engineering Students' Motivations for and Perceived Utility of Learning Outside of Class. FIE (2022)
Shaolin Wang, Yi Mei, John Park, Mengjie Zhang
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem. SSCI (2019)
Nutta Homdee, Ridwan Alam, James A. Hayes, Tamanna Hamid, John Park, Sean Wolfe, Hilda Goins, Nykesha Fyffe, Temple Newbold, Tonya L. Smith-Jackson, Azziza Bankole, Martha S. Anderson, John C. Lach
Agitation Monitoring and Prevention System for Dementia Caregiver Empowerment. Computer 52 (11) (2019)
Eli Brumbaugh, Atul Kale, Alfredo Luque, Bahador Nooraei, John Park, Krishna Puttaswamy, Kyle Schiller, Evgeny Shapiro, Conglei Shi, Aaron Siegel, Nikhil Simha, Mani Bhushan, Marie Sbrocca, Shi-Jing Yao, Patrick Yoon, Varant Zanoyan, Xiao-Han T. Zeng, Qiang Zhu, Andrew Cheong, Michelle Gu-Qian Du, Jeff Feng, Nick Handel, Andrew Hoh, Jack Hone, Brad Hunter
Bighead: A Framework-Agnostic, End-to-End Machine Learning Platform. DSAA (2019)
Shaolin Wang, Yi Mei, John Park, Mengjie Zhang
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem. SSCI (2019)
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Australasian Conference on Artificial Intelligence (2018)
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. EuroGP (2018)
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Appl. Soft Comput. 63 (2018)
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. ACALCI (2017)
John Park, Yi Mei, Gang Chen, Mengjie Zhang
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. GECCO (Companion) (2016)
John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. EuroGP (2016)
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio
Challenges in representation learning: A report on three machine learning contests. Neural Networks 64 (2015)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling. GECCO (Companion) (2015)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling. EuroGP (2015)
Gary Brist, John Park
A novel approach to IC, package and board co-optimization. ISQED (2015)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. SEAL (2014)
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio
Challenges in Representation Learning: A report on three machine learning contests. CoRR (2013)
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio
Challenges in Representation Learning: A Report on Three Machine Learning Contests. ICONIP (3) (2013)
John Park, Su Nguyen, Mark Johnston, Mengjie Zhang
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. Australasian Conference on Artificial Intelligence (2013)
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
Genetic programming for order acceptance and scheduling. IEEE Congress on Evolutionary Computation (2013)
Vladimir Sierra, Jason Carter, John Park
Building a stereo pipeline from the ground up: a comprehensive study of Disney's "The Secret of The Wings". SIGGRAPH Asia Courses (2012)
John Park, Xiaoying Gao, Peter Andreae
Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links. ADMA (2012)
John Park
Thinking outside of the chip. ISPD (2010)
Liping Wei, Yueyi Liu, Inna Dubchak, John Shon, John Park
Comparative genomics approaches to study organism similarities and differences. J. Biomed. Informatics 35 (2) (2002)