Conference Program

(Draft 7)

The 31st Australasian Joint Conference on Artificial Intelligence (AI 2018)

Wellington, New Zealand, December 11-14th, 2018

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AI 2018 Program Overview

Day 1 (Tue, 11 Dec) Day 2 (Wed, 12 Dec) Day 3 (Thu, 13 Dec) Day 4 (Fri, 14 Dec) 8:30am - 5:00pm Registration Registration Registration 8:30 – 8:50am Opening, MCLT01

9:00 - 10:00am Tutorial 1, AM102, by Wei Gao Tutorial 2, AM104, by David Toman and Grant Weddell

Keynote 1, MCLT01, by Jie Lu

Keynote 2, MCLT01, by Toby Walsh

Keynote 4, MCLT01, by Kay Chen Tan

10:00 - 10:30am Morning tea, AM151 Morning tea, AM151 Morning tea, AM151

10:30 - 12:30pm

Morning tea, AM151 (10:30am - 11:00am) Oral Presentation:

Session 1, AM101 Session 2, AM102 Session 3, AM104

Oral Presentation: Session 10, AM102 Session 11, AM104

Oral Presentation: Session 15, AM101 Session 16, AM102 Session 17, AM104

Tutorial 3, AM102, by Zbigniew Michalewicz Tutorial 4, AM104, by Chin-Teng Lin

12:30 - 1:30pm Lunch, AM151 (12:30pm-2pm) Lunch, AM151 Lunch, AM151 Lunch, AM151

1:30 - 3:30pm Oral Presentation: Session 4, AM101 Session 5, AM102 Session 6, AM104

Oral Presentation: Session 12, AM101 Session 13, AM102 Session 14, AM104

Tutorial 5, AM102, by Frank Neumann and Aneta Neumann Tutorial 6, AM104, by Ke Tang Workshop AM101, organised by A. Hussain, A. Rahman, and J. Deng

Keynote 3, MCLT01, by Zbigniew Michalewicz

3:30 - 4:00pm Afternoon tea, AM151 Afternoon tea, AM151 Afternoon tea, AM151

4:00 - 5:30pm

Tutorial 7, AM102, by Grant Dick and Peter Whigham Workshop AM101, organised by A. Hussain, A. Rahman, and J. Deng

Oral Presentation: Session 7, AM101 Session 8, AM102 Session 9, AM104

Industry Panel Session,

MCLT01

Reception (6:00 -- 9:00pm) Conference Dinner

(6:30 -- 10:00pm)

• Information about the rooms can be seen on Page • AI Committee meeting will be CO431 on 11 Dec, 5-6:30PM.

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Details TBA:

- Wifi - Reception - Conference dinner - Adaptor plug information - Conference venue maps - Contact details - Local transportation - Tourism

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Day 1 Tuesday, 11 Dec 2018

Time Room Program

9:00 am –

10:30 am

AM102 Tutorial 1: Methods and Techniques for Combating False Information in Social Media Presenter: Wei Gao Chair: Hoai Bach Nguyen

AM104 Tutorial 2: Managing and Communicating Object Identities in Knowledge Representation and Information Systems Presenters: David Toman and Grant Weddell Chair: Harith Al-Sahaf

11:00 am –

12:30 pm

AM102 Tutorial 3: Academia and Entrepreneurship: How to Start and Run a Technology Company Presenter: Zbigniew Michalewicz Chair: Binh Tran

AM104 Tutorial 4: Computational Intelligence for Brain Computer Interface (CIBCI) Presenter: Chin-Teng (CT) Lin Chair: Cao Truong Tran

2:00 pm –

3:30 pm

AM102 Tutorial 5: Evolutionary Computation for Digital Art Presenters: Frank Neumann and Aneta Neumann Chair: Harith Al-Sahaf

AM104 Tutorial 6: Machine Learning in Uncertain Environments Presenter: Ke Tang Chair: Yanan Sun

AM101 Workshop: The 5th Workshop on Machine Learning for Sensory Data Analytics. Organisers: Amir Hussain, Ashfaqur Rahman, and Jeremiah Deng

4:00 pm –

5:30 pm

AM102 Tutorial 7: Grammar-Guided Genetic Programming Presenters: Grant Dick and Peter Whigham. Chair: Qi Chen

AM101 Workshop: The 5th Workshop on Machine Learning for Sensory Data Analytics. Organisers: Amir Hussain, Ashfaqur Rahman, and Jeremiah Deng

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Day 2 Wednesday, 12 Dec 2018 Time Room

Program

8:30 -8:50am MCLT01

Opening

9:00-10:00am MCLT101

Keynote 1: Concept Drift Detection and Adaptation Speaker: Jie Lu Chair: Tanja Mitrovic

10:30 - 12:30pm AM101

Session 1: Agents and Robotics Chair: Jeremiah D. Deng and Nathaniel du Preez-Wilkinson

10:30 - 10:55am Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems (Shuyue Hu and Ho-Fung Leung)

10:55 - 11:20am Hierarchical Population Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids (Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis and Maryam Purvis)

11:20 - 11:35am Empowerment-Driven Single Agent Exploration for Locating Multiple Wireless Transmitters (Daniel Barry, Andreas Willig and Graeme Woodward)

11:35 - 11:50am An approach for task execution in dynamic multirobot environment (Amar Nath, A R Arun and Rajdeep Niyogi)

11:50 - 12:05pm Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes (Daniel Ginn, Alexandre Mendes, Stephan Chalup and Jake Fountain)

12:05 - 12:20pm Intra-Task Curriculum Learning for Faster Reinforcement Learning in Video Games (Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu)

10:30 - 12:30pm AM102

Session 2: Constraints and Search Chair: Andy Song and Zheng Yan

10:30 - 10:55am Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling using Niched Genetic Programming (John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie Zhang)

10:55 - 11:20am Diversified Late Acceptance Search (Majid Namazi, Conrad Sanderson, M.A.Hakim Newton, Md Masbaul Alam Polash and Abdul Sattar)

11:20 - 11:45am Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization (Zheng Yan, Jie Lu and Guangquan Zhang)

11:45 - 12:10pm Constraint-Guided Local Search for Single Mixed-Operation Runway (Vahid Riahi, Ma Hakim Newton and Abdul Sattar)

12:10 - 12:25pm Hyper-heuristic based Local Search for Combinatorial Optimisation Problems (Ayad Turky, Nasser Sabar, Simon Dunstall and Andy Song)

10:30 - 12:30pm AM104

Session 3: Machine Learning 1 Chair: Grant Dick and Cao Truong Tran

10:30 - 10:55am Feature Standardisation in Symbolic Regression (Caitlin Owen, Grant Dick and Peter Whigham)

10:55 - 11:20am Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data (Cao Truong Tran, Mengjie Zhang, Bing Xue and Peter Andreae)

11:20 - 11:45am Field-regularised Factorization Machines for Mining the Maintenance Logs of Equipment (Zhibin Li, Jian Zhang, Qiang Wu and Christina Kirsch)

11:45 - 12:10pm Co-Evolution of Novel Tree-like ANNs and Activation Functions: An Observational Study (Damien O'Neill, Bing Xue and Mengjie Zhang)

12:10 - 12:25pm Concept Drift Detector Selection for Hoeffding Adaptive Trees (Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger and Sri Devi Ravana)

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Day 2 Wednesday, 12 Dec 2018 Time Room

Program

1:30 - 3:30pm AM101

Session 4: Text Mining and NLP Chair: Peter Whigham and Xiaoying Gao

1:30 - 1:55pm Towards Compiling Textbooks from Wikipedia (Ditty Mathew and Sutanu Chakraborti)

1:55 - 2:20pm Measuring Language Complexity using Word Embeddings (Peter Whigham, Mansi Chugh and Grant Dick)

2:20 - 2:45pm Enhancing Decision Boundary Setting for Binary Text Classification (Aisha Albqmi, Yuefeng Li and Yue Xu)

2:45 - 3:00pm Stability of Word Embeddings using Word2Vec (Mansi Chugh, Peter Whigham and Grant Dick)

3:00 - 3:15pm Using Word Embeddings with Linear Models for Short Text Classification (Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke and Susanne Schmeidl)

3:15 - 3:30pm Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes (Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh and Jinyan Li)

1:30 - 3:30pm AM102

Session 5: Evolutionary Computation 1 Chair: Tapabrata Ray and Lyndon While

1:30 - 1:55pm An improved Genetic Programming Hyper-heuristic for the Uncertain Capacitated Arc Routing Problem (Jordan MacLachlan, Yi Mei, Juergen Branke and Mengjie Zhang)

1:55 - 2:20pm Uncovering Performance Envelopes Through Optimum Design of Tests (Tapabrata Ray, Ahsanul Habib, Hemant Singh and Michael Ryan)

2:20 - 2:45pm Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm (Chen Wang, Hui Ma, Gang Chen and Sven Hartmann)

2:45 - 3:10pm Genetic Programming with Multi-Tree Representation for Dynamic Flexible Job Shop Scheduling (Fangfang Zhang, Yi Mei and Mengjie Zhang)

3:10 - 3:25pm A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling (Wesley Cox, Tim French, Mark Reynolds and Lyndon While)

1:30 - 3:30pm AM104

Session 6: Machine Learning 2 Chair: Yuefeng Li and Qi Chen

1:30 - 1:55pm Random-Sets for Dealing with Uncertainties in Relevance Feature (Abdullah Alharbi, Md Abul Bashar and Yuefeng Li)

1:55 - 2:20pm Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches (Yi Liu, Will Browne and Bing Xue)

2:20 - 2:45pm Twin Bounded Large Margin Distribution Machine (Haitao Xu, Brendan McCane and Lech Szymanski)

2:45 - 3:10pm Link Prediction via Factorization Machines (Lile Li and Wei Liu)

3:10 - 3:25pm A Gaussian Filter-based Feature Learning Approach Using Genetic Programming to Image Classification (Ying Bi, Bing Xue and Mengjie Zhang)

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Day 2 Wednesday, 12 Dec 2018 Time Room

Program

4:00 - 5:30pm AM101

Session 7: Reasoning Chair: Ang Yang,and Marcel Gehrke

4:00 - 4:25pm Adaptive Inference on Probabilistic Relational Models (Tanya Braun and Ralf Möller)

4:25 - 4:50pm Sparse Approximation for Gaussian Process with Derivative Observations (Ang Yang, Cheng Li, Santu Rana, Sunil Gupta and Svetha Venkatesh)

4:50 - 5:15pm Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm (Marcel Gehrke, Tanya Braun and Ralf Möller)

5:15 - 5:30pm Reinterpretation with Systems of Spheres (Özgür Lütfü Özcep)

4:00 - 5:30pm AM102

Session 8: Neural Networks Chair: Nabin Sharma and Yanan Sun

4:00 - 4:25pm Shark Detection from Aerial Imagery using Region-based CNN, A Study (Nabin Sharma, Paul Scully-Power and Michael Blumenstein)

4:25 - 4:50pm Cyclist Trajectory Prediction using Bidirectional Recurrent Neural Networks (Khaled Saleh, Mohammed Hossny and Saeid Nahavandi)

4:50 - 5:15pm A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification (Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang)

5:15 - 5:30pm Distinction between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks (Xiaocai Zhang, Yuansheng Liu, Yi Zheng, Zhixun Zhao, Jinyan Li and Yang Liu)

4:00 - 5:30pm AM104

Session 9: Classification Chair: Lin Shang and Izaro Goienetxea

4:00 - 4:25pm A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions using Autoencoders and Swarm Optimization (Maisa Daoud and Michael Mayo)

4:25 - 4:50pm Genetic Programming based on granular Computing for High-dimensional data in Classification (Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang)

4:50 - 5:15pm Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification (Sweta Sharma and Reshma Rastogi Née Khemchandani)

5:15 - 5:30pm On the Use of Matrix Based Representation to Deal with Automatic Composer Recognition (Izaro Goienetxea, Iñigo Mendialdua and Basilio Sierra)

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Day 3 Thursday, 13 Dec 2018

Time Room

Program

9:00-10:00am MCLT101

Keynote 2: AI for Good Speaker: Toby Walsh Chair: Mengjie Zhang

10:30 - 12:30pm AM102

Session 10: Generative Adversarial Network Chair: Ancheng Lin and Aaron Chen

10:30 - 10:55am Multiple-task Learning and Knowledge Transfer using Generative Adversarial Capsule Nets (Ancheng Lin, Jun Li, Lujuan Zhang, Zhenyuan Ma and Weiqi Luo)

10:55 - 11:20am Counterfactual Inference with Hidden Confounders using Implicit Generative Models (Fujin Zhu, Adi Lin, Guangquan Zhang and Jie Lu)

11:20 - 11:45am A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions (Ancheng Lin, Jun Li, Lujuan Zhang, Lei Shi and Zhenyuan Ma)

11:45 - 12:10pm Image Up-sampling for Super Resolution with Generative Adversarial Network (Shohei Tsunekawa, Katsufumi Inoue and Michifumi Yoshioka)

12:10 - 12:25pm Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm (Marcel Gehrke, Tanya Braun and Ralf Möller)

10:30 - 12:30pm AM104

Session 11: Evolutionary Computation 2 Chair: Kourosh Neshatian and Harith Al-Sahaf

10:30 - 10:55am Adaptive Reference Point Generation for Many-Objective Optimization using NSGA-III (Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang)

10:55 - 11:20am Improving Representation in Benchmarking of Binary PSO Algorithms (Shinichi Yamada and Kourosh Neshatian)

11:20 - 11:45am Particle swarm optimization for feature selection with adaptive mechanism and new updating strategy (Ke Chen, Fengyu Zhou and Bing Xue)

11:45 - 12:10pm Investigation of a simple distance based ranking metric for decomposition-based multi/many-objective evolutionary algorithms (Hemant Singh, Kalyan Bhattacharjee, Tapabrata Ray and Sanaz Mostaghim)

12:10 - 12:25pm A Genetic Programming approach for Constructing Foreground and Background Saliency Features for Salient Object Detection (Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt and Mengjie Zhang)

1:30 - 2:30pm AM101

Session 12: Games Chair: Dongmo Zhang and Michael Thielscher

1:30 - 1:55pm General Language Evolution in General Game Playing (Armin Chitizadeh and Michael Thielscher)

1:55 - 2:20pm A logic for reasoning about game descriptions (Dongmo Zhang)

1:30 - 2:30pm AM102

Session 13: Representation Learning Chair: Jun Li and Harith Al-Sahaf

1:30 - 1:55pm Discovering Granger-causal Features from Deep Learning Networks (Aneesh Chivukula, Jun Li and Wei Liu)

2:55 - 2:20pm A Multi-Tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features (Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie Zhang)

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Day 3 Thursday, 13 Dec 2018

Time Room

Program

1:30 – 2:30pm AM104

Session 14: AI Applications and Innovations 1 Chair: Saurabh Garg and Gang Chen

1:30 – 1:55pm Investigation of Unsupervised Models for Biodiversity Assessment (Kvsn Rama Rao, Saurabh Garg and James Montgomery)

1:55 – 2:10pm Multi-Objective Container Consolidation in Cloud Data Centers (Tao Shi, Hui Ma and Gang Chen)

2:30 - 3:30pm MCLT101

Keynote 3: Adaptive Business Intelligence, Global Optimisation, and Increasing Sales Speaker: Zbigniew Michalewicz Chair: KC Tan

4:00 – 4:45pm MCLT101

Session: Industry Session Chair: Ben Rein, Dongmo Zhang, and Peter Andreae Presentations:

4:45 – 5:30pm MCLT101

Session: Industry Panel Discussions Chair: Ben Rein, Dongmo Zhang, and Peter Andreae

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Day 4 Friday, 14 Dec 2018 Time Room

Program

9:00-10:00am MCLT101

Keynote 4: Applications of Artificial Intelligence to Condition-Based Maintenance Speaker: KC Tan Chair: Bing Xue

10:30 - 12:30pm AM101

Session 15: AI Applications and Innovations 2 Chair: Jakub Kowalski and Yun Sing Koh

10:30 - 10:55am Implementing Propositional Networks on FPGA (Cezary Siwek, Jakub Kowalski, Chiara F. Sironi and Mark H. M. Winands)

10:55 - 11:20am OHC: Uncovering Overlapping Heterogeneous Communities (Ranran Bian, Yun Sing Koh, Gillian Dobbie and Anna Divoli)

11:20 - 11:35am Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning (Zhi Zhuang, Guohua Zhang, Wei Dong, Xinya Sun and Chuanjiang Wang)

11:35 - 11:50am Real-Time Collusive Shill Bidding Detection in Online Auctions (Nazia Majadi, Jarrod Trevathan and Neil Bergmann)

11:50 - 12:15pm Impact of compression ratio and reconstruction methods on ECG classification for E-Health gadgets: A preliminary study (Sophie Zareei and Jeremiah D. Deng)

12:15 - 12:30pm A Computational Framework for Autonomous Self-Repair Systems (Tran Nguyen Minh-Thai, Jagannath Aryal, Sandhya Samarasinghe and Michael Levin)

10:30 - 12:30pm AM102

Session 16: Machine Learning 3 Chair: Nanpeng Yu and Qi Chen

10:30 - 10:55am A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values (Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang)

10:55 - 11:20am Lift-per-drift: an evaluation metric for classification frameworks with concept drift detection (Robert Anderson, Yun Sing Koh and Gillian Dobbie)

11:20 - 11:45am A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks (Xiaogang Yan, Alistair Knott and Steven Mills)

11:45 - 12:00am Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking (Nathaniel du Preez-Wilkinson, Marcus Gallagher and Xuelei Hu)

12:00 - 12:15pm Impacts of Climate Change and Socioeconomic Development on Electric Load in California (Jie Shi and Nanpeng Yu)

12:15 - 12:30pm A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of its Parts from a Single Demonstration (Ahmed Abbas, Frederic Maire, Sareh Shirazi, Feras Dayoub and Markus Eich)

10:30 - 12:30pm AM104

Session 17: Planning and Scheduling Chair: Dongmo Zhang and Asanka Nuwanpriya Kekirigoda Mudiyanselage

10:30 - 10:45am Virtual Roundabout Protocol for Autonomous Vehicles (Jianglin Qiao, Dongmo Zhang and Dave de Jonge)

10:45 - 11:00am A Genetic Programming Hyper-Heuristic Approach for online Resource Allocation in Container-based Clouds (Boxiong Tan, Hui Ma and Yi Mei)

11:00 - 11:15am Autonomous Vehicle Constrained Path Planning using Opal for Dynamic Networks (Kin-Ping Hui, Damien Phillips, Asanka Nuwanpriya Kekirigoda Mudiyanselage and Alan Allwright)

11:15 - 11:30am Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling (Fangfang Zhang, Yi Mei and Mengjie Zhang)

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