Jun Jo

69 papers A* 2B 3C 2Misc 12Journal 25Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Handling data sparsity and model poisoning attacks in federated sequential recommender systems.
Knowl. Based Syst.
Minh Hieu Nguyen, Thanh Tam Nguyen, Jun Jo, Duc Anh Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
2025 Misc conf
An Extensible Benchmark for Value Ambiguity Resolution in Text-to-SQL.
ADC
Minh Tam Pham, Quoc Viet Hung Nguyen, Jun Jo, Thanh Tam Nguyen
2025 J jnl
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer.
IEEE Trans. Knowl. Data Eng.
Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew
2025 J jnl
Hypergraph Diffusion for High-Order Recommender Systems.
CoRR
Darnbi Sakong, Thanh Trung Huynh, Jun Jo
2025 J jnl
Model-Free Counterfactual Subset Selection at Scale.
CoRR
Minh Hieu Nguyen, Viet Hung Doan, Anh Tuan Nguyen, Jun Jo, Quoc Viet Hung Nguyen
2025 Misc conf
Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents.
ADC
Khanh Trinh Pham, Thu Huong Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2025 J jnl
Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents.
CoRR
Khanh Trinh Pham, Thu Huong Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2025 J jnl
On-device diagnostic recommendation with heterogeneous federated BlockNets.
Sci. China Inf. Sci.
Minh Hieu Nguyen, Thanh Trung Huynh, Thanh Toan Nguyen, Phi Le Nguyen, Hien Thu Pham, Jun Jo, Thanh Tam Nguyen
2025 J jnl
Resource-adaptive and OOD-robust inference of deep neural networks on IoT devices.
CAAI Trans. Intell. Technol.
Cailen Robertson, Ngoc Anh Tong, Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Jun Jo
2025 J jnl
Technology Mapping with Large Language Models.
CoRR
Minh Hieu Nguyen, Hien Thu Pham, Hiep Minh Ha, Ngoc Quang Hung Le, Jun Jo
2024 J jnl
A dual benchmarking study of facial forgery and facial forensics.
CAAI Trans. Intell. Technol.
Minh Tam Pham, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Thanh Thi Nguyen, Jun Jo, Hongzhi Yin, Quoc Viet Hung Nguyen
2024 Misc conf
High-Order Recommendation with Heterophilic Hypergraph Diffusion.
ADC
Darnbi Sakong, Thanh Trung Huynh, Jun Jo
2024 Misc conf
Knowledge-Assisted Small Object Detection.
ADC
Le Hoang Duong, Nguyen Quoc Viet Hung, Nguyen Thai Viet Huy, Jun Jo
2024 — conf
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs.
ADMA (3)
Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen
2024 J jnl
Portable graph-based rumour detection against multi-modal heterophily.
Knowl. Based Syst.
Thanh Tam Nguyen, Zhao Ren, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 Misc conf
Towards Comprehensive Innovation Landscape: Technology Retrieval Meets Large Language Models.
ADC
Hien Thu Pham, Minh Hieu Nguyen, Hiep Minh Ha, Ngoc Quang Hung Le, Jun Jo
2023 B conf
10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention.
IJCNN
Thanh Toan Nguyen, Quang Duc Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2023 J jnl
Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment.
Int. J. Intell. Syst.
Darnbi Sakong, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen
2023 J jnl
Example-based explanations for streaming fraud detection on graphs.
Inf. Sci.
Thanh Tam Nguyen, Thanh Cong Phan, Hien Thu Pham, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen
2023 J jnl
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.
IEEE Trans. Knowl. Data Eng.
Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung
2023 J jnl
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.
ACM Trans. Inf. Syst.
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
2022 — conf
A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction.
ADMA (1)
Nguyen Duc Khang Quach, Chaoqun Yang, Viet Hung Vu, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo
2022 — conf
A Comparative Study of Question Answering over Knowledge Bases.
ADMA (1)
Khiem Vinh Tran, Hao Phu Phan, Nguyen Duc Khang Quach, Ngan Luu-Thuy Nguyen, Jun Jo, Thanh Tam Nguyen
2022 — conf
Lightweight Branching Self-distillation: Be Your Own Teacher.
RiTA
Cailen Robertson, Duong Le, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo
2022 J jnl
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs.
CoRR
Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2022 J jnl
Model-agnostic and diverse explanations for streaming rumour graphs.
Knowl. Based Syst.
Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2022 J jnl
Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks.
Pattern Recognit. Lett.
Duong Chi Thang, Thanh Dat Hoang, Thanh Tam Nguyen, Jun Jo, Nguyen Quoc Viet Hung, Karl Aberer
2022 J jnl
Optimal Grasping Strategy for Robots With a Parallel Gripper Based on Feature Sensing of 3D Object Model.
IEEE Access
Hsin-Han Chiang, Jiun-Kai You, Chen-Chien James Hsu, Jun Jo
2022 J jnl
Real-time wildfire detection with semantic explanations.
Expert Syst. Appl.
Thanh Cong Phan, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen
2022 A* conf
exRumourLens: Auditable Rumour Detection with Multi-View Explanations.
ICDE
Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2021 C conf
Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings.
ADMA
Xuan Truong Du Chau, Thanh Tam Nguyen, Jun Jo, Quoc Viet Hung Nguyen
2021 J jnl
JUDO: Just-in-time rumour detection in streaming social platforms.
Inf. Sci.
Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Thi Nguyen, Bay Vo, Jun Jo, Quoc Viet Hung Nguyen
2021 Misc conf
ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots.
DICTA
Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Gwangzeen Ko, Jung Ick Moon, Jun Jo, Nguyen Quoc Viet Hung
2020 — conf
Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection.
SSCI
Chau Xuan Truong Du, Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Nguyen Quoc Viet Hung, Jun Jo
2020 J jnl
Monitoring agriculture areas with satellite images and deep learning.
Appl. Soft Comput.
Thanh Tam Nguyen, Thanh Dat Hoang, Minh Tam Pham, Vu Tuyet Trinh, Thanh-Hung Nguyen, Quyet-Thang Huynh, Jun Jo
2020 J jnl
Multi-Scale Bushfire Detection From Multi-Modal Streams of Remote Sensing Data.
IEEE Access
Thanh Cong Phan, Thanh Tam Nguyen, Thanh Dat Hoang, Quoc Viet Hung Nguyen, Jun Jo
2019 — conf
A deep learning approach for early wildfire detection from hyperspectral satellite images.
RiTA
Nguyen Thanh Toan, Thanh Cong Phan, Nguyen Quoc Viet Hung, Jun Jo
2019 Misc conf
Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network.
AusDM
Nguyen Thanh Toan, Orçun Gümüs, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, René Hexel, Jun Jo
2019 C conf
Optimising Deep Learning Split Deployment for IoT Edge Networks.
PDCAT
Cailen Robertson, Jia Li, Ryoma J. Ohira, Quoc Viet Hung Nguyen, Jun Jo
2018 — conf
AMGA: An Adaptive and Modular Genetic Algorithm for the Traveling Salesman Problem.
ISDA (2)
Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic
2018 Misc conf
Combining Deep and Handcrafted Image Features for Vehicle Classification in Drone Imagery.
DICTA
Xuesong Le, Yufei Wang, Jun Jo
2018 Misc conf
LCS Based Diversity Maintenance in Adaptive Genetic Algorithms.
AusDM
Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic
2018 — conf
Multiscale Wavelet Method for Heart Abnormality Detection Within IoTs Environment.
WIMS
Dejan Stantic, Jun Jo
2018 — conf
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification.
WHISPERS
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao
2017 Misc conf
A Drone-Based Building Inspection System Using Software-Agents.
IDC
Jun Jo, Zahra Jadidi, Bela Stantic
2017 — conf
Detection and Classification of Vehicle Types from Moving Backgrounds.
RiTA
Xuesong Le, Jun Jo, Sakong Youngbo, Dejan Stantic
2017 J jnl
Enhanced Monte Carlo localization incorporating a mechanism for preventing premature convergence.
Robotica
Chiang-Heng Chien, Wei-Yen Wang, Jun Jo, Chen-Chien James Hsu
2017 — conf
Reusability Quality Metrics for Agent-Based Robot Systems.
RiTA
Cailen Robertson, Ryoma J. Ohira, Jun Jo, Bela Stantic
2017 — ed.
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.
RiTA
Jong-Hwan Kim, Fakhri Karray, Jun Jo, Peter Sincak, Hyun Myung
2017 — conf
The Use of Machine Learning for Correlation Analysis of Sentiment and Weather Data.
RiTA
Hu Li, Zahra Jadidi, Jinyan Chen, Jun Jo
2015 — conf
A Comparative Study of Wi-Fi and Bluetooth for Signal Strength-Based Localisation.
RiTA
Ryoma J. Ohira, Tommi Sullivan, Andrew J. Abotomey, Jun Jo
2015 — conf
A Likelihood-Based Data Fusion Model for the Integration of Multiple Sensor Data: A Case Study with Vision and Lidar Sensors.
RiTA
Jun Jo, Yukito Tsunoda, Bela Stantic, Alan Wee-Chung Liew
2015 Misc conf
Colour-emotion association study on abstract art painting.
ICMLC
Cik Fazilah Hibadullah, Alan Wee-Chung Liew, Jun Jo
2015 — ed.
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
RiTA
Jong-Hwan Kim, Weimin Yang, Jun Jo, Peter Sincak, Hyun Myung
2014 — conf
A Usability Study for Signal Strength Based Localisation.
RiTA
Tommi Sullivan, Jun Jo, Michael Lennon
2014 — conf
An Efficient Ego-Lane Detection Model to Avoid False-Positives Detection of Guardrails.
RiTA
Vitor S. Bottazzi, Jun Jo, Bela Stantic, Paulo Vinicius Koerich Borges
2014 — conf
Automatic Bridge Crack Detection - A Texture Analysis-Based Approach.
ANNPR
Sukalpa Chanda, Guoping Bu, Hong Guan, Jun Jo, Umapada Pal, Yew-Chaye Loo, Michael Blumenstein
2013 B conf
A vision-based lane detection system combining appearance segmentation and tracking of salient points.
Intelligent Vehicles Symposium
Vitor S. Bottazzi, Paulo Vinicius Koerich Borges, Jun Jo
2013 — conf
Adaptive Regions of Interest Based on HSV Histograms for Lane Marks Detection.
RiTA
Vitor S. Bottazzi, Paulo Vinicius Koerich Borges, Bela Stantic, Jun Jo
2012 — conf
A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning.
RiTA
Jun Jo, Ann Stevens, Clarence Tan
2012 B conf
Image enhancement by wavelet multi-scale edge statistics.
ICPR
Alan Wee-Chung Liew, Jun Jo, Yong-Sik Chun, Tae-Hong Ahn, Tae Byong Chae
2009 — conf
A Research of Physical Activity's Influence on Heart Rate Using Feedforward Neural Network.
ISNN (3)
Feng Xiao, Ming Yuchi, Jun Jo, Mingyue Ding, Wenguang Hou
2009 — conf
A multi-step heart rate prediction method based on physical activity using Adams-Bashforth technique.
CIRA
Feng Xiao, Ming Yuchi, Mingyue Ding, Jun Jo, Jong-Hwan Kim
2008 Misc conf
An intelligent system in healthcare using fuzzy measures.
ISKE
Amol S. Wagholikar, Jun Jo
2007 — conf
A Novel Human Computer Interaction Paradigm for Volume Visualization in Projection-Based Virtual Environments.
Smart Graphics
Changming He, Andrew Lewis, Jun Jo
2007 J jnl
A population ecology inspired parent selection strategy for numerical constrained optimization problems.
Appl. Math. Comput.
Ming Yuchi, Jong-Hwan Kim, Jun Jo
2007 A* conf
Ubiquitous Robot: A New Paradigm for Integrated Services.
ICRA
Jong-Hwan Kim, Kang-Hee Lee, Yong-Duk Kim, Naveen Suresh Kuppuswamy, Jun Jo
2006 — conf
The Analysis of Game Playing Experiences: Focusing on Massively Multiplayer Online Role-Playing Game.
ICHIT
Seungkeun Song, Joohyeon Lee, Jun Jo
2000 J jnl
Academic Directions of Multimedia Education.
Commun. ACM
Ruben Gonzalez, Greg Cranitch, Jun Jo