Accepted Papers

Oral Paper Sessions

Paper Session 1 - Ethical AI

Session Title : Ethical AI: Interpretability, Privacy-preserving, Fairness and Accountability (5 papers)
Session Chair: Yi Mei (VUW)
Papers (Submission ID, title, authors):
‍
[1] 76,“An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph”, Kosuke Chinone and Atsuyoshi Nakamura. [poster, video]
[2] 8, “An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification”, Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang and Guandong Xu. [poster, video]
[3] 35, “HESIP: a Hybrid System for Explaining Sub-symbolic Predictions”, Abdus Salam, Rolf Schwitter and Mehmet Orgun. [poster, video]
[4] 95, “Knowledge Transfer for Deep Reinforcement Agents in General Game Playing”, Cameron McEwan and Michael Thielscher. [poster, video]
[5] 17, “Privacy-preserving in Double Deep-Q-Network with differential privacy in Continuous Spaces”, Suleiman Abahussein, Steven Cheng, Tianqing Zhu, Dayong Ye and Wanlei Zhou. [poster, video]

Paper Session 2 - Classical AI

Session: Classical AI: Agents, Evolutionary and Optimisation (5 papers)
Session Chair: Hussein Abbass (UNSW Canberra)
Papers (Submission ID, title, authors):

‍[1] 34, “Analysing multiobjective optimization using evolutionary path length correlation”,    Daniel Herring, Dean Pakravan and Michael Kirley. [poster, video]
[2] 40, “Decentralizing Self-organizing Maps”, Md Mohiuddin Khan, Kathryn Kasmarik and Matthew Garratt. [poster, video]
[3] 58, “A heuristic repair algorithm for the maximum stable marriage problem with ties and incomplete lists”, Hoang Huu Viet, Nguyen Thi Uyen, Son Thanh Cao and Taechoong Chung. [poster, video]
[4] 85, “The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements”, Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi and B. John Oommen. [poster, video]
[5] 131, “Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud”, Taiwo Akindele, Boxiong Tan, Yi Mei and Hui Ma. [poster, video]

Paper Session 3 - AI with CV and ML

Session: AI with Computer Vision and Machine Learning (5 papers)
Session Chair: Lu Liu (Google Research)
Papers (Submission ID, title, authors):

[1] 26, “GAN-Assisted YUV Pixel Art Generation”, Zhouyang Jiang and Penny Sweetser. [poster, video]
[2] 74. “Investigating Active Positive-Unlabeled Learning with Deep Networks”, Kun Han, Miao Xu and Weitong Chen. [poster, video]
[3] 80, “UFO RPN: A Region Proposal Network for Ultra Fast Object Detection”, Wenkai Li and Andy Song. [poster, video]
[4] 91, “Accurate New Zealand Wildlife Image Classification- Deep learning approach”, Benjamin Curran, Seyed Mohammad Nekooei and Gang Chen. [poster, video]
[5] 128, “Better Self-training for Image Classification through Self-supervision”, Attaullah Sahito, Eibe Frank and Bernhard Pfahringer. [poster, video]

Paper Session 4 - AI with NLP and DM

Session: AI with NLP and Data Mining (5 papers)
Session Chair: Tao Shen (Microsoft Research)
Papers (Submission ID, title, authors):

[1] 99, “Focus-based Text Summarization with Hybrid Embeddings”, Jingli Shi, Lui Hellesoe, Guan Wang, Weihua Li and Quan Bai. [poster, video]
[2] 125, “SimSCL : A Simple fully-Supervised Contrastive Learning Framework for Text Representation”, Youness Moukafih, Abdelghani Ghanem, Karima Abidi, Nada Sbihi, Mounir Ghogho and Kamel Smaili. [poster, video]
[3] 129, “KPCR: Knowledge graph enhanced Personalized Course Recommendation”,  Heeseok Jung, Yeonju Jang, Seonghun Kim and Hyeoncheol Kim. [poster, video]
[4] 134, “Probabilistic Term Weighting based on Three-Way Decisions for Class Based Feature Selection”, Aisha Albqmi, Yuefeng Li and Yue Xu. [poster, video]
[5] 109, “An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble”,     Zhaoqing Liu, Anjin Liu, Guangquan Zhang and Jie Lu. [poster, video]

Paper Session 5 - AI with Network Analysis

Session: AI with Network Analysis (5 papers)
Session Chair: Miao Xu (The University of Queensland)
Papers (Submission ID, title, authors):

‍[1] 61, “Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks”, Xiaoxue Liu, Fenghui Ren, Guoxin Su and Minjie Zhang. [poster, video]
[2] 72, “A Network-based Rating Mechanism Against False-Name Attack”, Xinyuan Lian and Dengji Zhao. [poster, video]
[3] 94, “Modular Construction Planning using Graph Neural Network Heuristic Search”, Philip Hawkins, Frederic Maire, Simon Denman and Mahsa Baktashmotlagh. [poster, video]
[4] 113, “Priority-based Traffic Management Protocol for Autonomous Vehicles on Road Network”, Jianglin Qiao, Dongmo Zhang and Dave De Jonge. [poster, video]
[5] 132, “Improving Traffic Load Prediction with Multi-Modality: A Case Study of Brisbane”, Khai Tran, Weitong Chen and Miao Xu. [poster, video]

Paper Session 6 - AI Applications (1)

Session: AI Applications (1) (5 papers)
Session Chair: Beyong Kang (University of Tasmania)
Papers (Submission ID, title, authors):

[1] 54, “Predicting Geological Material Types with Ground Penetrating Radar”, Oliver Fleming, Adrian Ball and Rami Khushaba. [poster, video]
[2] 78, “A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples”, Chen Liu, Hui Song, Mahdi Jalili and Peter McTaggart. [poster, video]
[3] 115, “User-Defined Smart Contracts using Answer Set Programming”, Kevin Purnell and Rolf Schwitter. [poster, video]
[4] 116, “Predicting Financial Literacy via Semi-supervised Learning”, David Hason Rudd, Huan Huo and Guandong Xu. [poster, video]
[5] 15, “Machine Teaching-based Efficient Labelling for Cross-unit Healthcare Data” Modelling”, Yang Wang, Xueping Peng, Allison Clarke, Clement Schlegel and Jing Jiang. [poster, video]

Paper Session 7 - AI Applications (2)

Session: AI Applications (2) - Healthcare (5 papers)
Session Chair: Xueping Peng (University of Technology Sydney)
Papers (Submission ID, title, authors):

[1] 118, “Predicting Outcomes for Cancer Patients with Transformer-based Multi-task Learning”, Leah Gerrard, Xueping Peng, Allison Clarke, Clement Schlegel and Jing Jiang. [poster, video] 
[2] 69, “Predicting COVID-19 Patient Shielding: A Comprehensive Study", Vithya Yogarajan, Bernhard Pfahringer, Tony Smith and Jacob Montiel. [poster, video]
[3] 87, “Identifying the effective restriction and vaccination policies during the COVID-19 crisis in Sydney: A machine learning approach“, Seunghyeon Lee and Fang Chen. [poster, video]
[4] 84, “Machine learning algorithms in application to COVID-19 severity prediction in patients”, Alisher Ikramov, Khikmat Anvarov, Visolat Sharipova, Nurbek Iskhakov, Abdusalom Abdurakhmonov and Azamat Alimov. [poster, video]
[5] 92, “Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences”,     Adrian Caruana, Madhushi Bandara, Daniel Catchpoole and Paul J. Kennedy. [poster, video]

Paper Session 8 - AI Applications (3)

Session: AI Applications (3) - Biology and Medical (5 papers)
Session Chair: Mark Reynolds (University of Western Australia)
Papers (Submission ID, title, authors):

[1] 25, “De Novo Molecular Generation with SBiAAE”, Yuansan Liu and James Bailey. [poster, video]
[2] 43, “Tailoring Contact Based Scoring Functions for Protein Structure Prediction”, Rianon Zaman, M.A. Hakim Newton, Fereshteh Mataeimoghadam and Abdul Sattar. [poster, video]
[3] 68, “Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset”, Mark Rodrigues, Michael Mayo and Panos Patros. [poster, video]
[4] 96, “Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification”, Ahmed A. Al Taee, Rami N. Khushaba, Tanveer Zia and Adel Al-Jumaily. [poster, video]
[5] 133, “Modelling Eye-gaze Movement using Gaussian Auto-regression Hidden Markov”, Beinan Xu and Andy Song. [poster, video]

Poster Papers with Category

[1] 10, “Contextual Importance and Utility: a Theoretical Foundation”, Kary Främling (in the category - Ethical AI). [poster, video]
[2] 21, “Deeper Insights into Neural Nets with Random Weights”, Ming Li, Giorgio Gnecco and Marcello Sanguineti  (in the category - Ethical AI). [poster, video]
[3] 29, “Automated Image Classification in the Diagnosis of Knee MRI”, John Haddadian and Mehala Balamurali (in the category - AI Applications 2). [poster, video]
[4] 31, “Improvement of Arc Consistency in Asynchronous Forward Bounding algorithm”,    Rachid Adrdor and Lahcen Koutti (in the category - Classical AI). [poster, video]
[5] 33, “Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs”, Shadi Abpeikar, Kathryn Kasmarik, Phi Vu Tran and Matt Garratt (in the category - Classical AI). [poster, video]
[6] 36, “GSMI: A Gradient Sign Optimization Based Model Inversion Method”, Zhiyi Tian, Chenhan Zhang, Lei Cui and Shui Yu (in the category - Ethical AI). [poster, video]
[7] 41, “Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models”, Nils Finke, Ralf Möller and Marisa Mohr  (in the category - Classical AI). [poster, video]
[8] 48, “LTWNN: A Novel Approach using Sentence Embeddings for Extracting Diverse Concepts in MOOCs”, Zhijie Wu, Jia Zhu, Shi Xu, Zhiwen Yan and Wanying Liang (in the category - AI with NLP and DM). [poster, video]
[9] 50, “ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery”, Junfeng Wu, Guangyan Huang and Roozbeh Zarei (in the category - AI with NLP and DM). [poster, video]
[10] 56, “A Hybrid Multiagent-based Rescheduling Mechanism for Open and Stochastic Environments Concerning the Execution Stage”, Yikun Yang, Fenghui Ren and Minjie Zhang (in the category - Classical AI). [poster, video]
[11] 64, “BiES: Adaptive Policy Optimization for Model-based Offline Reinforcement Learning”,  Yijun Yang, Jing Jiang, Zhuowei Wang, Qiqi Duan and Yuhui Shi (in the category - Classical AI). [poster, video]
[12] 79, “Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment”, May Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang and Salil Kanhere (in the category - AI Applications 1). [poster, video]
[13] 82, “A Self-Learning Approach for Baggiatoa Coverage Estimation in Aquaculture”,  Yanyu Chen, Yunjue Zhou, Son Tran, Mira Park, Scott Hadley, Myriam Lacharite and Quan Bai (in the category - AI Applications 1). [poster, video]
[14] 83, “Multicollinearity Correction and Combined Feature Effect in Shapley Values”, Indranil Basu and Subhadip Maji (in the category - Ethical AI). [poster, video]
[15] 89, “Real-time prediction of the lane-based delay for group-based adaptive traffic operations using Long Short-Term Memory”, Seunghyeon Lee, Dong Ngoduy and Fang Chen (in the category - AI Applications 1). [poster, video]
[16] 90, “Does a Face Mask Protect my Privacy? Using Deep Learning to Predict Protected Attributes from Masked Face Images”, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi and Ridwan Shariffdeen (in the category - Ethical AI). [poster, video]
[17] 97, “Representation-Induced Algorithmic Bias: An empirical assessment of behavioural equivalence over 14 reinforcement learning algorithms across 4 isomorphic gameform representations”, Simon C. Stanton, Julian Dermoudy and Robert Ollington (in the category - Ethical AI). [poster, video]
[18] 100, “Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators”, Li Yang Liu, Mehala Balamurali, Katherine Silversides and Rami Khushaba (in the category - AI with Network Analysis). [poster, video]
[19] 102, “Exploring Transformers for Intruder Detection in Complex Maritime Environment”, Mrunalini Nalamati, Muhammad Saqib, Nabin Sharma and Michael Blumenstein (in the category - AI Applications 1). [poster, video]
[20] 107, “Video-based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning”, Khaled Saleh, Kun Yu and Fang Chen (in the category - AI with CV and ML). [poster, video]
[21] 117, “Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning”, Liuchun Yao, Mira Park, Saurabh Garg and Quan Bai (in the category - AI with CV and ML). [poster, video]
[22] 122, “Vehicle Detection Based on Cascade Deep Learning Method Using Deformed Oriented Bounding Box”, Wenli Yang, Mira Park, Xianghui Song, Sun Ling, Yameng Li and Xiaotong Gu (in the category - AI with CV and ML). [poster, video]
[23] 127, “Improving Evolutionary Generative Adversarial Networks”, Zheping Liu, Nasser Sabar and Andy Song (in the category - AI with CV and ML). [poster, video]
[24] 135, “Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing”, Kirita-Rose Escott, Hui Ma and Gang Chen (in the category - AI Applications 1). [poster, video]