Jun Jo

According to our database, Jun Jo authored at least 67 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Technologies and Applications of Robots in Dementia Care: A Systematic Review.

Dongjun Wu, Lihui Pu, Jun Hyung Jo, Wendy Moyle

J. Intell. Robotic Syst., March, 2025

Model-Free Counterfactual Subset Selection at Scale.

Minh Hieu Nguyen, Viet Hung Doan, Anh Tuan Nguyen, Jun Jo, Quoc Viet Hung Nguyen

CoRR, February, 2025

Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer.

Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew

IEEE Trans. Knowl. Data Eng., January, 2025

Hypergraph Diffusion for High-Order Recommender Systems.

Darnbi Sakong, Thanh Trung Huynh, Jun Jo

CoRR, January, 2025

On-device diagnostic recommendation with heterogeneous federated BlockNets.

Minh Hieu Nguyen, Thanh Trung Huynh, Thanh Toan Nguyen, Phi Le Nguyen, Hien Thu Pham, Jun Jo, Thanh Tam Nguyen

Sci. China Inf. Sci., 2025

Resource-adaptive and OOD-robust inference of deep neural networks on IoT devices.

Cailen Robertson, Ngoc Anh Tong, Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Jun Jo

CAAI Trans. Intell. Technol., 2025

2024

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.

Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun Hyung Jo, Quoc Viet Hung Nguyen

ACM Trans. Intell. Syst. Technol., February, 2024

Multi-objective crowd-aware robot navigation system using deep reinforcement learning.

Chien-Lun Cheng, Chen-Chien James Hsu, Saeed Saeedvand, Jun Hyung Jo

Appl. Soft Comput., January, 2024

Portable graph-based rumour detection against multi-modal heterophily.

Thanh Tam Nguyen, Zhao Ren, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin

Knowl. Based Syst., 2024

A dual benchmarking study of facial forgery and facial forensics.

Minh Tam Pham, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Thanh Thi Nguyen, Jun Jo, Hongzhi Yin, Quoc Viet Hung Nguyen

CAAI Trans. Intell. Technol., 2024

Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention.

Duc Q. Nguyen, Thanh Toan Nguyen, Jun Hyung Jo, Florent Poux, Shikha Anirban, Tho T. Quan

IEEE Access, 2024

Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs.

Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

High-Order Recommendation with Heterophilic Hypergraph Diffusion.

Darnbi Sakong, Thanh Trung Huynh, Jun Jo

Proceedings of the Databases Theory and Applications, 2024

Towards Comprehensive Innovation Landscape: Technology Retrieval Meets Large Language Models.

Hien Thu Pham, Minh Hieu Nguyen, Hiep Minh Ha, Ngoc Quang Hung Le, Jun Jo

Proceedings of the Databases Theory and Applications, 2024

Knowledge-Assisted Small Object Detection.

Le Hoang Duong, Nguyen Quoc Viet Hung, Nguyen Thai Viet Huy, Jun Jo

Proceedings of the Databases Theory and Applications, 2024

2023

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.

Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung

IEEE Trans. Knowl. Data Eng., May, 2023

Example-based explanations for streaming fraud detection on graphs.

Thanh Tam Nguyen, Thanh Cong Phan, Hien Thu Pham, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen

Inf. Sci., April, 2023

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.

Thanh Toan Nguyen, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Trung Huynh, Viet Hung Vu, Phi Le Nguyen, Jun Jo, Quoc Viet Hung Nguyen

ACM Trans. Inf. Syst., 2023

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment.

Darnbi Sakong, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen

Int. J. Intell. Syst., 2023

10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention.

Thanh Toan Nguyen, Quang Duc Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks.

Duong Chi Thang, Thanh Dat Hoang, Thanh Tam Nguyen, Jun Jo, Nguyen Quoc Viet Hung, Karl Aberer

Pattern Recognit. Lett., 2022

Model-agnostic and diverse explanations for streaming rumour graphs.

Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen

Knowl. Based Syst., 2022

Real-time wildfire detection with semantic explanations.

Thanh Cong Phan, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen

Expert Syst. Appl., 2022

Optimal Grasping Strategy for Robots With a Parallel Gripper Based on Feature Sensing of 3D Object Model.

Hsin-Han Chiang, Jiun-Kai You, Chen-Chien James Hsu, Jun Jo

IEEE Access, 2022

Lightweight Branching Self-distillation: Be Your Own Teacher.

Cailen Robertson, Duong Le, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo

Proceedings of the Robot Intelligence Technology and Applications 7, 2022

exRumourLens: Auditable Rumour Detection with Multi-View Explanations.

Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Comparative Study of Question Answering over Knowledge Bases.

Khiem Vinh Tran, Hao Phu Phan, Nguyen Duc Khang Quach, Ngan Luu-Thuy Nguyen, Jun Jo, Thanh Tam Nguyen

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction.

Nguyen Duc Khang Quach, Chaoqun Yang, Viet Hung Vu, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

JUDO: Just-in-time rumour detection in streaming social platforms.

Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Thi Nguyen, Bay Vo, Jun Jo, Quoc Viet Hung Nguyen

Inf. Sci., 2021

ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots.

Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Gwangzeen Ko, Jung Ick Moon, Jun Jo, Nguyen Quoc Viet Hung

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings.

Xuan Truong Du Chau, Thanh Tam Nguyen, Jun Jo, Quoc Viet Hung Nguyen

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

Monitoring agriculture areas with satellite images and deep learning.

Thanh Tam Nguyen, Thanh Dat Hoang, Minh Tam Pham, Vu Tuyet Trinh, Thanh-Hung Nguyen, Quyet-Thang Huynh, Jun Jo

Appl. Soft Comput., 2020

Multi-Scale Bushfire Detection From Multi-Modal Streams of Remote Sensing Data.

Thanh Cong Phan, Thanh Tam Nguyen, Thanh Dat Hoang, Quoc Viet Hung Nguyen, Jun Jo

IEEE Access, 2020

Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection.

Chau Xuan Truong Du, Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Nguyen Quoc Viet Hung, Jun Jo

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

A deep learning approach for early wildfire detection from hyperspectral satellite images.

Nguyen Thanh Toan, Thanh Cong Phan, Nguyen Quoc Viet Hung, Jun Jo

Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019

Optimising Deep Learning Split Deployment for IoT Edge Networks.

Cailen Robertson, Jia Li, Ryoma J. Ohira, Quoc Viet Hung Nguyen, Jun Jo

Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network.

Nguyen Thanh Toan, Orçun Gümüs, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, René Hexel, Jun Jo

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018

Multiscale Wavelet Method for Heart Abnormality Detection Within IoTs Environment.

Dejan Stantic, Jun Jo

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification.

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

AMGA: An Adaptive and Modular Genetic Algorithm for the Traveling Salesman Problem.

Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic

Proceedings of the Intelligent Systems Design and Applications, 2018

Combining Deep and Handcrafted Image Features for Vehicle Classification in Drone Imagery.

Xuesong Le, Yufei Wang, Jun Jo

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

LCS Based Diversity Maintenance in Adaptive Genetic Algorithms.

Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017

Enhanced Monte Carlo localization incorporating a mechanism for preventing premature convergence.

Chiang-Heng Chien, Wei-Yen Wang, Jun Jo, Chen-Chien James Hsu

Robotica, 2017

Reusability Quality Metrics for Agent-Based Robot Systems.

Cailen Robertson, Ryoma J. Ohira, Jun Jo, Bela Stantic

Proceedings of the Robot Intelligence Technology and Applications 5, 2017

The Use of Machine Learning for Correlation Analysis of Sentiment and Weather Data.

Hu Li, Zahra Jadidi, Jinyan Chen, Jun Jo

Proceedings of the Robot Intelligence Technology and Applications 5, 2017

Detection and Classification of Vehicle Types from Moving Backgrounds.

Xuesong Le, Jun Jo, Sakong Youngbo, Dejan Stantic

Proceedings of the Robot Intelligence Technology and Applications 5, 2017

A Drone-Based Building Inspection System Using Software-Agents.

Jun Jo, Zahra Jadidi, Bela Stantic

Proceedings of the Intelligent Distributed Computing XI - Proceedings of the 11th International Symposium on Intelligent Distributed Computing, 2017

2015

A Comparative Study of Wi-Fi and Bluetooth for Signal Strength-Based Localisation.

Ryoma J. Ohira, Tommi Sullivan, Andrew J. Abotomey, Jun Jo

Proceedings of the Robot Intelligence Technology and Applications 4, 2015

A Likelihood-Based Data Fusion Model for the Integration of Multiple Sensor Data: A Case Study with Vision and Lidar Sensors.

Jun Jo, Yukito Tsunoda, Bela Stantic, Alan Wee-Chung Liew

Proceedings of the Robot Intelligence Technology and Applications 4, 2015

Colour-emotion association study on abstract art painting.

Cik Fazilah Hibadullah, Alan Wee-Chung Liew, Jun Jo

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

A Usability Study for Signal Strength Based Localisation.

Tommi Sullivan, Jun Jo, Michael Lennon

Proceedings of the Robot Intelligence Technology and Applications 3, 2014

An Efficient Ego-Lane Detection Model to Avoid False-Positives Detection of Guardrails.

Vitor S. Bottazzi, Jun Jo, Bela Stantic, Paulo Vinicius Koerich Borges

Proceedings of the Robot Intelligence Technology and Applications 3, 2014

Automatic Bridge Crack Detection - A Texture Analysis-Based Approach.

Sukalpa Chanda, Guoping Bu, Hong Guan, Jun Jo, Umapada Pal, Yew-Chaye Loo, Michael Blumenstein

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013

Adaptive Regions of Interest Based on HSV Histograms for Lane Marks Detection.

Vitor S. Bottazzi, Paulo Vinicius Koerich Borges, Bela Stantic, Jun Jo

Proceedings of the Robot Intelligence Technology and Applications 2, 2013

A vision-based lane detection system combining appearance segmentation and tracking of salient points.

Vitor S. Bottazzi, Paulo Vinicius Koerich Borges, Jun Jo

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

2012

A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning.

Jun Jo, Ann Stevens, Clarence Tan

Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

Image enhancement by wavelet multi-scale edge statistics.

Alan Wee-Chung Liew, Jun Jo, Yong-Sik Chun, Tae-Hong Ahn, Tae Byong Chae

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2009

A Research of Physical Activity's Influence on Heart Rate Using Feedforward Neural Network.

Feng Xiao, Ming Yuchi, Jun Jo, Mingyue Ding, Wenguang Hou

Proceedings of the Advances in Neural Networks, 2009

A multi-step heart rate prediction method based on physical activity using Adams-Bashforth technique.

Feng Xiao, Ming Yuchi, Mingyue Ding, Jun Jo, Jong-Hwan Kim

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

2008

Comparative Study on the Educational Use of Home Robots for Children.

Jeonghye Han, Miheon Jo, Vicki Jones, Jun Hyung Jo

J. Inf. Process. Syst., 2008

An intelligent system in healthcare using fuzzy measures.

Amol S. Wagholikar, Jun Jo

Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

2007

A population ecology inspired parent selection strategy for numerical constrained optimization problems.

Ming Yuchi, Jong-Hwan Kim, Jun Jo

Appl. Math. Comput., 2007

A Novel Human Computer Interaction Paradigm for Volume Visualization in Projection-Based Virtual Environments.

Changming He, Andrew Lewis, Jun Jo

Proceedings of the Smart Graphics, 7th International Symposium, 2007

Ubiquitous Robot: A New Paradigm for Integrated Services.

Jong-Hwan Kim, Kang-Hee Lee, Yong-Duk Kim, Naveen Suresh Kuppuswamy, Jun Jo

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Defining a Set of Features Using Histogram Analysis for Content Based Image Retrieval.

Jong-An Park, Nishat Ahmad, Gwangwon Kang, Jun Hyung Jo, Pankoo Kim, Seungjin Park

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2006

The Analysis of Game Playing Experiences: Focusing on Massively Multiplayer Online Role-Playing Game.

Seungkeun Song, Joohyeon Lee, Jun Jo

Proceedings of the Advances in Hybrid Information Technology, 2006

2000

Academic Directions of Multimedia Education.

Ruben Gonzalez, Greg Cranitch, Jun Jo

Commun. ACM, 2000