AI 2023: Advances in Artificial Intelligence

Editors: Tongliang Liu, Geoff Webb, Lin Yue, Dadong Wang

Computer Vision

• Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu
• Short-Term Solar Irradiance Forecasting from Future Sky Images Generation Hoang Chuong Nguyen, Miaomiao Liu
• No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang
• Story Sifting Using Object Detection Techniques Wilkins Leong, Julie Porteous, Jonathan Thangarajah
• SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline Mehala Balamurali, Ehsan Mihankhah
• Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies Lipin Guo, Wei Emma Zhang, Weitong Chen, Ni Yang, Queen Nguyen, Trung Duc Vo
• Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads Yu Zhang, Huaming Chen, Zhongzheng Lai, Zao Zhang, Dong Yuan
• SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement Shenshen Du, Jun Yu, Guochen Xie, Renjie Lu, Pengwei Li, Zhongpeng Cai et al.
• A New Perspective of Weakly Supervised 3D Instance Segmentation via Bounding Boxes Qingtao Yu, Heming Du, Xin Yu
• Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation Yan Hu, Erik Meijering, Yang Song

Deep Learning

• WeightRelay: Efficient Heterogeneous Federated Learning on Time Series Wensi Tang, Guodong Long
• Superpixel Attack Issa Oe, Keiichiro Yamamura, Hiroki Ishikura, Ryo Hamahira, Katsuki Fujisawa
• Cross Domain Pulmonary Nodule Detection Without Source Data Rui Xu, Yong Luo, Yan Xu
• 3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video Liming Ge, David Zhaochen Jiang, Wei Bao
• Neural Networks in Forecasting Financial Volatility Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Hanna Suominen
• CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation Haoqiang Lin, Haokun Wen, Xiaolin Chen, Xuemeng Song
• LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning Muhammad Talha, Aya Hussein, Mohammed Hossny
• A Sampling Method for Performance Predictor Based on Contrastive Learning Jingrong Xie, Yuqi Feng, Yanan Sun
• AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning Nan Yang, Fan Huang, Dong Yuan
• Estimation of Unmasked Face Images Based on Voice and 3DMM Tetsumaru Akatsuka, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga
• Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel Hitt, Yoichiro Kanno, Ryo Futamura et al.
• Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City Hexuan Weng, Yanbin Liu, Ling Chen
• MIDGET: Music Conditioned 3D Dance Generation Jinwu Wang, Wei Mao, Miaomiao Liu

Machine Learning and Data Mining

• Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data Enes Makalic, Daniel F. Schmidt
• Multiple Teacher Model for Continual Test-Time Domain Adaptation Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
• Causal Disentanglement for Adversarial Defense Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li
• Gemini: A Dual-Task Co-training Model for Partial Label Learning Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng
• Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis Hieu Vu Tran, Carolyn McGregor, Paul J. Kennedy
• Mining Label Distribution Drift in Unsupervised Domain Adaptation Peizhao Li, Zhengming Ding, Hongfu Liu
• Automatic Classification of Sensors in Buildings: Learning from Time Series Data Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman
• An Integrated Federated Learning and Meta-Learning Approach for Mining Operations Venkat Munagala, Sankhya Singh, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari, Amit Bhandari et al.
• An Augmented Learning Approach for Multiple Data Streams Under Concept Drift Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
• Sequence Unlearning for Sequential Recommender Systems Shanshan Ye, Jie Lu
• MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-Temporal Patterns of Default Mode Network Hang Yuan, Xiang Li, Benzheng Wei

Optimization

• Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
• Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search Son Thanh Cao, Le Van Thanh, Hoang Huu Viet
• Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework Mitchell Keegan, Mahdi Abolghasemi
• An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Ickjai Lee

Medical AI

• Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
• Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising Brenda Wang, Chirath Hettiarachchi, Hanna Suominen, Elena Daskalaki
• COVID-19 Fake News Detection Using Cross-Domain Classification Techniques Arnav Sharma, Subhanjali Sharma, Utkarsh Bhardwaj, Sajib Mistry, Novarun Deb, Aneesh Krishna
• Context-Based Masking for Spontaneous Venous Pulsations Detection Hongwei Sheng, Xin Yu, Xue Li, Mojtaba Golzan
• Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification Richard Wainwright, Danny Wang, Harrison Layton, Alina Bialkowski
• Enhance Reading Comprehension from EEG-Based Brain-Computer Interface Xinping Liu, Zehong Cao

Knowledge Representation and NLP

• Collaborative Qualitative Environment Mapping Adeline Secolo, Paulo E. Santos, Patrick Doherty, Zoran Sjanic
• Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured Events Ruiqi Li, Patrik Haslum, Leyang Cui
• The Difficulty of Novelty Detection and Adaptation in Physical Environments Vimukthini Pinto, Chathura Gamage, Matthew Stephenson, Jochen Renz
• Lateral AI: Simulating Diversity in Virtual Communities Fedja Hadzic, Maya Krayneva
• Reports, Observations, and Belief Change Aaron Hunter
• A Prompting Framework to Enhance Language Model Output Himath Ratnayake, Can Wang
• Epistemic Reasoning in Computational Machine Ethics Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam
• Using Social Sensing to Validate Flood Risk Modelling in England Joshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski, Hywel Williams
• Symbolic Data Analysis to Improve Completeness of Model Combination Methods Pedro Strecht, João Mendes-Moreira, Carlos Soares
• CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs Ziyu Zhao, Wei Liu, Tim French, Michael Stewart
• S5TR: Simple Single Stage Sequencer for Scene Text Recognition Zhijian Wu, Jun Li, Jianhua Xu

Explainable AI

• Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
• Concept-Guided Interpretable Federated Learning Jianan Yang, Guodong Long
• Systematic Analysis of the Impact of Label Noise Correction on ML Fairness Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
• Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain Liangping Li, Xun Gong, Chenzhong Wang, Weiji Kong
• Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based Models Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai
• Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust Bo Wang, Jianlong Zhou, Yiqiao Li, Fang Chen
• Interpretable Drawing Psychoanalysis via House-Tree-Person Test Yaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu
• A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection TrungTin Nguyen, Dung Ngoc Nguyen, Hien Duy Nguyen, Faicel Chamroukhi

Reinforcement Learning

• Auction-Based Allocation of Location-Specific Tasks Fahimeh Ramezani, Brendan Sims, Haris Aziz
• Generalized Bargaining Protocols Yasser Mohammad
• SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah
• Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual Environments Dale Grant, Jaime Garcia, William Raffe
• Transformed Successor Features for Transfer Reinforcement Learning Kiyoshige Garces, Junyu Xuan, Hua Zuo
• Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach Helani Wickramaarachchi, Michael Kirley, Nicholas Geard
• Competitive Collaboration for Complex Task Learning in Agent Systems Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
• Limiting Inequalities in Repeated House and Task Allocation Martin Aleksandrov
• Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring Maryem Hussein, Marwa Keshk, Aya Hussein
• Toward a Unified Framework for RGB and RGB-D Visual Navigation Heming Du, Zi Huang, Scott Chapman, Xin Yu
• Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering Liang Ou, Thomas Do, Xuan-The Tran, Daniel Leong, Yu-Cheng Chang, Yu-Kai Wang et al.
• Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma

Genetic Algorithm

• A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang
• XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei
• Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming Mohamad Rimas, Qi Chen, Mengjie Zhang
• Generating Collective Motion Behaviour Libraries Using Developmental Evolution Md Khan, Kathryn Kasmarik, Michael Barlow, Shadi Abpeikar, Huanneng Qiu, Essam Debie et al.
• A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann
• Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
• A Study of Fitness Gains in Evolving Finite State Machines Gábor Zoltai, Yue Xie, Frank Neumann