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2020 – today
- 2025
[j18]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)- 2024
- [j17]Thanh Tam Nguyen, Zhao Ren, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin:
Portable graph-based rumour detection against multi-modal heterophily. Knowl. Based Syst. 284: 111310 (2024) - [c52]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 - [c51]Darnbi Sakong, Thanh Trung Huynh, Jun Jo:
High-Order Recommendation with Heterophilic Hypergraph Diffusion. ADC 2024: 114-127 - [c50]Le Hoang Duong, Nguyen Quoc Viet Hung, Nguyen Thai Viet Huy, Jun Jo:
Knowledge-Assisted Small Object Detection. ADC 2024: 403-418 - [c49]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 - [i3]Dongjun Wu, Lihui Pu, Jun Jo, René Hexel, Wendy Moyle:
The use of a humanoid robot for older people with dementia in aged care facilities. CoRR abs/2405.19630 (2024) - 2023
- [j16]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) - [j15]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) - [j14]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) - [j13]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) - [c48]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 - [e3]Jun Jo, Han-Lim Choi, Mardé Helbig, Hyondong Oh, Jemin Hwangbo, Chang-Hun Lee, Bela Stantic:
Robot Intelligence Technology and Applications 7 - Results from the 10th International Conference on Robot Intelligence Technology and Applications, RiTA 2022, Daejeon, South Korea, 7-9 December, 2022. Lecture Notes in Networks and Systems 642, Springer 2023, ISBN 978-3-031-26888-5 [contents] - 2022
- [j12]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) - [j11]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) - [j10]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) - [j9]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) - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]Nguyen Duc Khang Quach, Zhao Ren, Khiem Vinh Tran, Viet Hung Vu, Yong-Sik Chun, Thanh Tam Nguyen, Jun Jo:
Short-Term Traffic Speed Prediction Using Hybrid LSTM-SVR Model. RiTA 2022: 438-450 - [i2]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) - [i1]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. CoRR abs/2211.08170 (2022) - 2021
- [j8]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) - [c42]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 - [c41]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
- [j7]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) - [j6]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) - [c40]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
- [c39]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 - [c38]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 - [c37]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
- [c36]Jun Jo, Yong Oh Lee, Jongwoon Hwang:
Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals. AI4I 2018: 106-107 - [c35]Ryoma J. Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic:
LCS Based Diversity Maintenance in Adaptive Genetic Algorithms. AusDM 2018: 56-68 - [c34]Xuesong Le, Yufei Wang, Jun Jo:
Combining Deep and Handcrafted Image Features for Vehicle Classification in Drone Imagery. DICTA 2018: 1-6 - [c33]Philippe Martin, Jun Jo:
Contraintes prescriptives compatibles avec OWL2-ER pour évaluer la complétude d'ontologies. EGC 2018: 23-34 - [c32]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 - [c31]Haebom Lee, Jun Jo, Yong Oh Lee, Korkmaz Zirpel Nuriye, Leon Abelmann:
Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs. PACBB 2018: 97-104 - [c30]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 - [c29]Dejan Stantic, Jun Jo:
Multiscale Wavelet Method for Heart Abnormality Detection Within IoTs Environment. WIMS 2018: 50:1-50:11 - 2017
- [j5]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) - [c28]Yong Oh Lee, Jun Jo, Jongwoon Hwang:
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection. IEEE BigData 2017: 3248-3253 - [c27]Jun Jo, Zahra Jadidi, Bela Stantic:
A Drone-Based Building Inspection System Using Software-Agents. IDC 2017: 115-121 - [c26]Cailen Robertson, Ryoma J. Ohira, Jun Jo, Bela Stantic:
Reusability Quality Metrics for Agent-Based Robot Systems. RiTA 2017: 121-134 - [c25]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 - [c24]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
- [c23]Cik Fazilah Hibadullah, Alan Wee-Chung Liew, Jun Jo:
Colour-emotion association study on abstract art painting. ICMLC 2015: 488-493 - [c22]Hyonyoung Han, Jun Jo, Youngsung Son, Junhee Park:
Smart sleep care system for quality sleep. ICTC 2015: 393-398 - [c21]Young-Sung Son, Hyonyung Han, Jun Jo, Jun-Hee Park:
Crowd-sourcing home energy efficiency measurement system. ICTC 2015: 1272-1275 - [c20]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 - [c19]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
- [j4]Dejan Stantic, Jun Jo:
Selection of Optimal Parameters for ECG Signal Smoothing and Baseline Drift Removal. Comput. Inf. Sci. 7(4): 99-110 (2014) - [c18]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 - [c17]Tommi Sullivan, Jun Jo, Michael Lennon:
A Usability Study for Signal Strength Based Localisation. RiTA 2014: 35-44 - [c16]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
- [c15]Young-Sung Son, Jun Jo, Jun-Hee Park, Topi Pulkkinen:
Diabetic patient care using home user activity recognition. ICTC 2013: 191-196 - [c14]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 - [c13]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
- [c12]Yun-Kyung Lee, Jun Jo, Yongkwi Lee, Hyun Soon Shin, Oh-Wook Kwon:
Particle filter-based noise reduction of PPG signals for robust emotion recognition. ICCE 2012: 598-599 - [c11]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 - [c10]Jun Jo, Ann Stevens, Clarence Tan:
A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning. RiTA 2012: 85-90
2000 – 2009
- 2009
- [c9]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 - [c8]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]Seungkeun Song, Jun Jo, Michel Eboueya:
An Application Of Goms Model To Analyse And Predict Gamer Behaviours In Mmorpg. Int. J. Intell. Games Simul. 5(1): 12-18 (2008) - [c7]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) - [c6]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 - [c5]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
- [c4]Seungkeun Song, Joohyeon Lee, Jun Jo:
The Analysis of Game Playing Experiences: Focusing on Massively Multiplayer Online Role-Playing Game. ICHIT 2006: 333-343 - 2005
- [c3]Steve Green, Michael Blumenstein, Vallipuram Muthukkumarasamy, Jun Jo:
Investigation of a Classification-based Technique to Detect Illicit Objects for Aviation Security. Artificial Intelligence and Applications 2005: 825-830 - 2004
- [c2]Chae Y. Lee, Jun Jo:
Service specific call admission control in WCDMA system. VTC Fall (2) 2004: 1033-1037 - 2001
- [c1]Jun Jo, Neil Russell:
Virtual Schools. WCCE 2001: 143-152 - 2000
- [j1]Ruben Gonzalez, Greg Cranitch, Jun Jo:
Academic Directions of Multimedia Education. Commun. ACM 43(1): 89-95 (2000)
Coauthor Index
Nguyen Quoc Viet Hung
aka: Quoc Viet Hung Nguyen
aka: Quoc Viet Hung Nguyen
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last updated on 2025-01-09 19:36 CET by the dblp team
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