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ORCIDJun Jo 0001
Jun Hyung Jo
Person information
- affiliation: Griffith University, School of Information and Communication Technology, Brisbane, Australia
Other persons with the same name
- Jun Jo — disambiguation page
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2020 – today
- 2026
[j25]Minh Hieu Nguyen, Thanh Tam Nguyen
, Jun Jo, Duc Anh Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen:
Handling data sparsity and model poisoning attacks in federated sequential recommender systems. Knowl. Based Syst. 338: 115545 (2026)- 2025
- [j24]Cailen Robertson, Ngoc Anh Tong, Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Jun Jo:
Resource-adaptive and OOD-robust inference of deep neural networks on IoT devices. CAAI Trans. Intell. Technol. 10(1): 115-133 (2025) - [j23]Minh Hieu Nguyen, Thanh Trung Huynh, Thanh Toan Nguyen, Phi Le Nguyen, Hien Thu Pham, Jun Jo, Thanh Tam Nguyen:
On-device diagnostic recommendation with heterogeneous federated BlockNets. Sci. China Inf. Sci. 68(4) (2025) - [j22]Dongjun Wu, Lihui Pu, Jun Hyung Jo, Wendy Moyle:
Technologies and Applications of Robots in Dementia Care: A Systematic Review. J. Intell. Robotic Syst. 111(1): 33 (2025) - [j21]Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew:
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer. IEEE Trans. Knowl. Data Eng. 37(1): 334-350 (2025) - [c43]Khanh Trinh Pham, Thu Huong Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents. ADC 2025: 108-123 - [c42]Minh Tam Pham, Quoc Viet Hung Nguyen, Jun Jo, Thanh Tam Nguyen:
An Extensible Benchmark for Value Ambiguity Resolution in Text-to-SQL. ADC 2025: 124-138 - [i5]Minh Hieu Nguyen, Hien Thu Pham, Hiep Minh Ha, Ngoc Quang Hung Le, Jun Jo:
Technology Mapping with Large Language Models. CoRR abs/2501.15120 (2025) - [i4]Darnbi Sakong, Thanh Trung Huynh, Jun Jo:
Hypergraph Diffusion for High-Order Recommender Systems. CoRR abs/2501.16722 (2025) - [i3]Minh Hieu Nguyen, Viet Hung Doan, Anh Tuan Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Model-Free Counterfactual Subset Selection at Scale. CoRR abs/2502.08326 (2025) - [i2]Khanh Trinh Pham, Thu Huong Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents. CoRR abs/2509.24405 (2025) - 2024
- [j20]Duc Q. Nguyen, Thanh Toan Nguyen, Jun Hyung Jo, Florent Poux, Shikha Anirban, Tho T. Quan:
Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention. IEEE Access 12: 130474-130492 (2024) - [j19]Chien-Lun Cheng, Chen-Chien James Hsu, Saeed Saeedvand, Jun Hyung Jo:
Multi-objective crowd-aware robot navigation system using deep reinforcement learning. Appl. Soft Comput. 151: 111154 (2024) - [j18]Minh Tam Pham, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Thanh Thi Nguyen, Jun Jo, Hongzhi Yin, Quoc Viet Hung Nguyen:
A dual benchmarking study of facial forgery and facial forensics. CAAI Trans. Intell. Technol. 9(6): 1377-1397 (2024) - [j17]Thanh Tam Nguyen, Zhao Ren, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin:
Portable graph-based rumour detection against multi-modal heterophily. Knowl. Based Syst. 284: 111310 (2024) - [j16]Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun Hyung Jo, Quoc Viet Hung Nguyen:
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining. ACM Trans. Intell. Syst. Technol. 15(1): 9:1-9:26 (2024) - [c41]Hien Thu Pham, Minh Hieu Nguyen, Hiep Minh Ha, Ngoc Quang Hung Le, Jun Jo:
Towards Comprehensive Innovation Landscape: Technology Retrieval Meets Large Language Models. ADC 2024: 85-98 - [c40]Darnbi Sakong, Thanh Trung Huynh, Jun Jo:
High-Order Recommendation with Heterophilic Hypergraph Diffusion. ADC 2024: 114-127 - [c39]Le Hoang Duong, Nguyen Quoc Viet Hung, Nguyen Thai Viet Huy, Jun Jo:
Knowledge-Assisted Small Object Detection. ADC 2024: 403-418 - [c38]Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen:
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs. ADMA (3) 2024: 161-177 - 2023
- [j15]Darnbi Sakong, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment. Int. J. Intell. Syst. 2023: 1-17 (2023) - [j14]Thanh Tam Nguyen, Thanh Cong Phan, Hien Thu Pham, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Example-based explanations for streaming fraud detection on graphs. Inf. Sci. 621: 319-340 (2023) - [j13]Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung:
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts. IEEE Trans. Knowl. Data Eng. 35(5): 5002-5016 (2023) - [j12]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:
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks. ACM Trans. Inf. Syst. 41(3): 58:1-58:24 (2023) - [c37]Thanh Toan Nguyen, Quang Duc Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. IJCNN 2023: 1-9 - 2022
- [j11]Hsin-Han Chiang, Jiun-Kai You, Chen-Chien James Hsu, Jun Jo:
Optimal Grasping Strategy for Robots With a Parallel Gripper Based on Feature Sensing of 3D Object Model. IEEE Access 10: 24056-24066 (2022) - [j10]Thanh Cong Phan, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Real-time wildfire detection with semantic explanations. Expert Syst. Appl. 201: 117007 (2022) - [j9]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-agnostic and diverse explanations for streaming rumour graphs. Knowl. Based Syst. 253: 109438 (2022) - [j8]Duong Chi Thang, Thanh Dat Hoang, Thanh Tam Nguyen, Jun Jo, Nguyen Quoc Viet Hung, Karl Aberer:
Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks. Pattern Recognit. Lett. 159: 46-53 (2022) - [c36]Khiem Vinh Tran, Hao Phu Phan, Nguyen Duc Khang Quach, Ngan Luu-Thuy Nguyen, Jun Jo, Thanh Tam Nguyen:
A Comparative Study of Question Answering over Knowledge Bases. ADMA (1) 2022: 259-274 - [c35]Nguyen Duc Khang Quach, Chaoqun Yang, Viet Hung Vu, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo:
A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction. ADMA (1) 2022: 472-488 - [c34]Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
exRumourLens: Auditable Rumour Detection with Multi-View Explanations. ICDE 2022: 3174-3177 - [c33]Cailen Robertson, Duong Le, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo:
Lightweight Branching Self-distillation: Be Your Own Teacher. RiTA 2022: 267-281 - [i1]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs. CoRR abs/2207.08098 (2022) - 2021
- [j7]Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Thi Nguyen, Bay Vo, Jun Jo, Quoc Viet Hung Nguyen:
JUDO: Just-in-time rumour detection in streaming social platforms. Inf. Sci. 570: 70-93 (2021) - [c32]Xuan Truong Du Chau, Thanh Tam Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings. ADMA 2021: 174-189 - [c31]Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Gwangzeen Ko, Jung Ick Moon, Jun Jo, Nguyen Quoc Viet Hung:
ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots. DICTA 2021: 1-8 - 2020
- [j6]Thanh Cong Phan, Thanh Tam Nguyen, Thanh Dat Hoang, Quoc Viet Hung Nguyen, Jun Jo:
Multi-Scale Bushfire Detection From Multi-Modal Streams of Remote Sensing Data. IEEE Access 8: 228496-228513 (2020) - [j5]Thanh Tam Nguyen, Thanh Dat Hoang, Minh Tam Pham, Vu Tuyet Trinh, Thanh-Hung Nguyen, Quyet-Thang Huynh, Jun Jo:
Monitoring agriculture areas with satellite images and deep learning. Appl. Soft Comput. 95: 106565 (2020) - [c30]Chau Xuan Truong Du, Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Nguyen Quoc Viet Hung, Jun Jo:
Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection. SSCI 2020: 707-712
2010 – 2019
- 2019
- [c29]Nguyen Thanh Toan, Orçun Gümüs, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, René Hexel, Jun Jo:
Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network. AusDM 2019: 77-90 - [c28]Cailen Robertson, Jia Li, Ryoma J. Ohira, Quoc Viet Hung Nguyen, Jun Jo:
Optimising Deep Learning Split Deployment for IoT Edge Networks. PDCAT 2019: 346-351 - [c27]Nguyen Thanh Toan, Thanh Cong Phan, Nguyen Quoc Viet Hung, Jun Jo:
A deep learning approach for early wildfire detection from hyperspectral satellite images. RiTA 2019: 38-45 - 2018
- [c26]Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic:
LCS Based Diversity Maintenance in Adaptive Genetic Algorithms. AusDM 2018: 56-68 - [c25]Xuesong Le, Yufei Wang, Jun Jo:
Combining Deep and Handcrafted Image Features for Vehicle Classification in Drone Imagery. DICTA 2018: 1-6 - [c24]Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic:
AMGA: An Adaptive and Modular Genetic Algorithm for the Traveling Salesman Problem. ISDA (2) 2018: 1096-1109 - [c23]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao:
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - [c22]Dejan Stantic, Jun Jo:
Multiscale Wavelet Method for Heart Abnormality Detection Within IoTs Environment. WIMS 2018: 50:1-50:11 - 2017
- [j4]Chiang-Heng Chien, Wei-Yen Wang, Jun Jo, Chen-Chien James Hsu:
Enhanced Monte Carlo localization incorporating a mechanism for preventing premature convergence. Robotica 35(7): 1504-1522 (2017) - [c21]Jun Jo, Zahra Jadidi, Bela Stantic:
A Drone-Based Building Inspection System Using Software-Agents. IDC 2017: 115-121 - [c20]Cailen Robertson, Ryoma J. Ohira, Jun Jo, Bela Stantic:
Reusability Quality Metrics for Agent-Based Robot Systems. RiTA 2017: 121-134 - [c19]Hu Li, Zahra Jadidi, Jinyan Chen, Jun Jo:
The Use of Machine Learning for Correlation Analysis of Sentiment and Weather Data. RiTA 2017: 291-298 - [c18]Xuesong Le, Jun Jo, Sakong Youngbo, Dejan Stantic:
Detection and Classification of Vehicle Types from Moving Backgrounds. RiTA 2017: 491-502 - [e2]Jong-Hwan Kim, Fakhri Karray, Jun Jo, Peter Sincak, Hyun Myung:
Robot Intelligence Technology and Applications 4 - Results from the 4th International Conference on Robot Intelligence Technology and Applications, RiTA 2015, Bucheon, Korea, December 14-16, 2015. Advances in Intelligent Systems and Computing 447, Springer 2017, ISBN 978-3-319-31291-0 [contents] - 2015
- [c17]Cik Fazilah Hibadullah, Alan Wee-Chung Liew, Jun Jo:
Colour-emotion association study on abstract art painting. ICMLC 2015: 488-493 - [c16]Jun Jo, Yukito Tsunoda, Bela Stantic, Alan Wee-Chung Liew:
A Likelihood-Based Data Fusion Model for the Integration of Multiple Sensor Data: A Case Study with Vision and Lidar Sensors. RiTA 2015: 489-500 - [c15]Ryoma J. Ohira, Tommi Sullivan, Andrew J. Abotomey, Jun Jo:
A Comparative Study of Wi-Fi and Bluetooth for Signal Strength-Based Localisation. RiTA 2015: 589-597 - [e1]Jong-Hwan Kim, Weimin Yang, Jun Jo, Peter Sincak, Hyun Myung:
Robot Intelligence Technology and Applications 3 - Results from the 3rd International Conference on Robot Intelligence Technology and Applications, RiTA 2014, Beijing, China, November 6-8, 2014. Advances in Intelligent Systems and Computing 345, Springer 2015, ISBN 978-3-319-16840-1 [contents] - 2014
- [c14]Sukalpa Chanda, Guoping Bu, Hong Guan, Jun Jo, Umapada Pal, Yew-Chaye Loo, Michael Blumenstein:
Automatic Bridge Crack Detection - A Texture Analysis-Based Approach. ANNPR 2014: 193-203 - [c13]Tommi Sullivan, Jun Jo, Michael Lennon:
A Usability Study for Signal Strength Based Localisation. RiTA 2014: 35-44 - [c12]Vitor S. Bottazzi, Jun Jo, Bela Stantic, Paulo Vinicius Koerich Borges:
An Efficient Ego-Lane Detection Model to Avoid False-Positives Detection of Guardrails. RiTA 2014: 741-751 - 2013
- [c11]Vitor S. Bottazzi, Paulo Vinicius Koerich Borges, Jun Jo:
A vision-based lane detection system combining appearance segmentation and tracking of salient points. Intelligent Vehicles Symposium 2013: 443-448 - [c10]Vitor S. Bottazzi, Paulo Vinicius Koerich Borges, Bela Stantic, Jun Jo:
Adaptive Regions of Interest Based on HSV Histograms for Lane Marks Detection. RiTA 2013: 677-687 - 2012
- [c9]Alan Wee-Chung Liew, Jun Jo, Yong-Sik Chun, Tae-Hong Ahn, Tae Byong Chae:
Image enhancement by wavelet multi-scale edge statistics. ICPR 2012: 2025-2028 - [c8]Jun Jo, Ann Stevens, Clarence Tan:
A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning. RiTA 2012: 85-90
2000 – 2009
- 2009
- [c7]Feng Xiao, Ming Yuchi, Mingyue Ding, Jun Jo, Jong-Hwan Kim:
A multi-step heart rate prediction method based on physical activity using Adams-Bashforth technique. CIRA 2009: 355-359 - [c6]Feng Xiao, Ming Yuchi, Jun Jo, Mingyue Ding, Wenguang Hou:
A Research of Physical Activity's Influence on Heart Rate Using Feedforward Neural Network. ISNN (3) 2009: 1089-1096 - 2008
- [j3]Jeonghye Han, Miheon Jo, Vicki Jones, Jun Hyung Jo:
Comparative Study on the Educational Use of Home Robots for Children. J. Inf. Process. Syst. 4(4): 159-168 (2008) - [c5]Amol S. Wagholikar, Jun Jo:
An intelligent system in healthcare using fuzzy measures. ISKE 2008: 446-449 - 2007
- [j2]Ming Yuchi, Jong-Hwan Kim, Jun Jo:
A population ecology inspired parent selection strategy for numerical constrained optimization problems. Appl. Math. Comput. 190(1): 292-304 (2007) - [c4]Jong-An Park, Nishat Ahmad, Gwangwon Kang, Jun Hyung Jo, Pankoo Kim, Seungjin Park:
Defining a Set of Features Using Histogram Analysis for Content Based Image Retrieval. ICIC (2) 2007: 408-417 - [c3]Jong-Hwan Kim, Kang-Hee Lee, Yong-Duk Kim, Naveen Suresh Kuppuswamy, Jun Jo:
Ubiquitous Robot: A New Paradigm for Integrated Services. ICRA 2007: 2853-2858 - [c2]Changming He, Andrew Lewis, Jun Jo:
A Novel Human Computer Interaction Paradigm for Volume Visualization in Projection-Based Virtual Environments. Smart Graphics 2007: 49-60 - 2006
- [c1]Seungkeun Song, Joohyeon Lee, Jun Jo:
The Analysis of Game Playing Experiences: Focusing on Massively Multiplayer Online Role-Playing Game. ICHIT 2006: 333-343 - 2000
- [j1]Ruben Gonzalez, Greg Cranitch, Jun Jo:
Academic Directions of Multimedia Education. Commun. ACM 43(1): 89-95 (2000)
Coauthor Index
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