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Quoc Viet Hung Nguyen
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2020 – today
- 2024
[j67]Guanhua Ye, Tong Chen
, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Trans. Intell. Technol. 9(3): 608-619 (2024)- [j66]Jianing Li, Chaoqun Yang, Guanhua Ye, Quoc Viet Hung Nguyen:
Graph neural networks with deep mutual learning for designing multi-modal recommendation systems. Inf. Sci. 654: 119815 (2024) - [j65]Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. Inf. Sci. 680: 121165 (2024) - [j64]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) - [j63]Viet Hung Vu, Duc Long Nguyen, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh:
Self-supervised air quality estimation with graph neural network assistance and attention enhancement. Neural Comput. Appl. 36(19): 11171-11193 (2024) - [j62]Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT. IEEE Trans. Ind. Informatics 20(1): 824-834 (2024) - [j61]Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun H. 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) - [j60]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 86:1-86:21 (2024) - [j59]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36(2): 913-926 (2024) - [j58]Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures. ACM Trans. Inf. Syst. 42(3): 64:1-64:26 (2024) - [c106]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CIKM 2024: 1941-1950 - [c105]Tuan Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen:
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction. EMNLP 2024: 10392-10407 - [c104]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. ICDE 2024: 611-624 - [c103]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE 2024: 3042-3055 - [c102]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. ICDE 2024: 3056-3069 - [c101]Tuan Dung Nguyen, Ngoc Anh Tong, Binh P. Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh:
Hierarchical Federated Learning in MEC Networks with Knowledge Distillation. IJCNN 2024: 1-8 - [c100]Thu Hang Phung, Binh P. Nguyen, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh:
A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning. IJCNN 2024: 1-8 - [c99]Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. ECML/PKDD (5) 2024: 55-72 - [c98]Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Budgeted Embedding Table For Recommender Systems. WSDM 2024: 557-566 - [c97]Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW 2024: 3139-3149 - [c96]Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. WWW 2024: 3379-3387 - [i65]Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. CoRR abs/2401.14583 (2024) - [i64]Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. CoRR abs/2401.14678 (2024) - [i63]Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Robust Federated Contrastive Recommender System against Model Poisoning Attack. CoRR abs/2403.20107 (2024) - [i62]Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen:
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures. CoRR abs/2404.00673 (2024) - [i61]Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin:
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. CoRR abs/2404.14942 (2024) - [i60]Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR abs/2405.13707 (2024) - [i59]Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. CoRR abs/2405.18040 (2024) - [i58]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin:
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. CoRR abs/2406.05387 (2024) - [i57]Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR abs/2406.17335 (2024) - [i56]Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Heterogeneous Hypergraph Embedding for Recommendation Systems. CoRR abs/2407.03665 (2024) - [i55]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR abs/2407.15411 (2024) - [i54]Yuandong Wang, Xuhui Ren, Tong Chen, Yuxiao Dong, Nguyen Quoc Viet Hung, Jie Tang:
Multi-turn Response Selection with Commonsense-enhanced Language Models. CoRR abs/2407.18479 (2024) - [i53]Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin:
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems. CoRR abs/2409.11690 (2024) - [i52]Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services. CoRR abs/2410.04927 (2024) - 2023
- [j57]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) - [j56]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) - [j55]Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, Quoc Viet Hung Nguyen:
Scalable maximal subgraph mining with backbone-preserving graph convolutions. Inf. Sci. 644: 119287 (2023) - [j54]Thanh Tam Nguyen, Thanh Trung Huynh, Minh Tam Pham, Thanh Dat Hoang, Thanh Thi Nguyen, Quoc Viet Hung Nguyen:
Validating functional redundancy with mixed generative adversarial networks. Knowl. Based Syst. 264: 110342 (2023) - [j53]Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen:
Deep MinCut: Learning Node Embeddings by Detecting Communities. Pattern Recognit. 134: 109126 (2023) - [j52]Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. IEEE J. Biomed. Health Informatics 27(11): 5249-5259 (2023) - [j51]Thanh Trung Huynh, Chi Thang Duong, Thanh Tam Nguyen, Tong Van Vinh, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment With Holistic Embeddings. IEEE Trans. Knowl. Data Eng. 35(2): 1881-1894 (2023) - [j50]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) - [j49]Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Trans. Knowl. Data Eng. 35(9): 9656-9670 (2023) - [j48]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) - [j47]Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng:
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. ACM Trans. Inf. Syst. 41(3): 65:1-65:30 (2023) - [j46]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. ACM Trans. Inf. Syst. 41(3): 66:1-66:25 (2023) - [j45]Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41(4): 102:1-102:24 (2023) - [j44]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen:
Detecting rumours with latency guarantees using massive streaming data. VLDB J. 32(2): 369-387 (2023) - [c95]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM 2023: 545-555 - [c94]Thanh Thi Nguyen, Minh Cuong Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi:
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) 2023: 298-305 - [c93]Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). ICDE 2023: 3791-3792 - [c92]Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. ICDM 2023: 378-387 - [c91]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 - [c90]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. NeurIPS 2023 - [c89]Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach. ECML/PKDD (3) 2023: 515-532 - [c88]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR 2023: 423-432 - [c87]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. SIGIR 2023: 1578-1588 - [c86]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023: 1690-1699 - [c85]Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. WSDM 2023: 850-858 - [c84]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW 2023: 339-348 - [c83]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [i51]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i50]He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan:
On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. CoRR abs/2301.12951 (2023) - [i49]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR abs/2302.10900 (2023) - [i48]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR abs/2302.14061 (2023) - [i47]Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT. CoRR abs/2303.03611 (2023) - [i46]Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen:
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion. CoRR abs/2303.09782 (2023) - [i45]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - [i44]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR abs/2304.03947 (2023) - [i43]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. CoRR abs/2304.03984 (2023) - [i42]Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling. CoRR abs/2304.12083 (2023) - [i41]Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin:
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR abs/2304.14635 (2023) - [i40]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i39]Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. CoRR abs/2305.08183 (2023) - [i38]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. CoRR abs/2306.02664 (2023) - [i37]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs. CoRR abs/2306.10345 (2023) - [i36]Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. CoRR abs/2307.01204 (2023) - [i35]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. CoRR abs/2307.15967 (2023) - [i34]Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation. CoRR abs/2308.13269 (2023) - [i33]Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. CoRR abs/2309.03518 (2023) - [i32]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR abs/2310.10998 (2023) - [i31]Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Budgeted Embedding Table For Recommender Systems. CoRR abs/2310.14884 (2023) - [i30]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. CoRR abs/2311.14968 (2023) - [i29]Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. CoRR abs/2312.15826 (2023) - 2022
- [j43]Thanh Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Thien Huynh-The, Saeid Nahavandi, Thanh Tam Nguyen, Quoc-Viet Pham, Cuong M. Nguyen:
Deep learning for deepfakes creation and detection: A survey. Comput. Vis. Image Underst. 223: 103525 (2022) - [j42]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) - [j41]Karl Aberer, Ioannis Katakis, Quoc Viet Hung Nguyen, Hongzhi Yin:
Preface - Special Issue on Misinformation on the Web. Inf. Syst. 103: 101867 (2022) - [j40]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) - [j39]Son T. Mai, Jon Jacobsen, Sihem Amer-Yahia, Ivor T. A. Spence, Nhat-Phuong Tran, Ira Assent, Quoc Viet Hung Nguyen:
Incremental Density-Based Clustering on Multicore Processors. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1338-1356 (2022) - [j38]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) - [j37]Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent. IEEE J. Biomed. Health Informatics 26(6): 2778-2786 (2022) - [j36]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen:
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(9): 4201-4214 (2022) - [j35]Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. IEEE Trans. Knowl. Data Eng. 34(11): 5307-5320 (2022) - [j34]Bolong Zheng, Xi Zhao, Lianggui Weng, Quoc Viet Hung Nguyen, Hang Liu, Christian S. Jensen:
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. VLDB J. 31(6): 1339-1363 (2022) - [c82]Minh Hieu Nguyen, Viet Huy Nguyen, Thanh Trung Huynh, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen:
A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting. ACIIDS (2) 2022: 26-39 - [c81]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 - [c80]Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh, Tam Thanh Nguyen, Quoc Viet Hung Nguyen, Mathias Niepert:
Joint Multilingual Knowledge Graph Completion and Alignment. EMNLP (Findings) 2022: 4646-4658 - [c79]Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment with Holistic Embeddings (Extended Abstract). ICDE 2022: 1509-1510 - [c78]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 - [c77]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin:
CIRCLE: continual repair across programming languages. ISSTA 2022: 678-690 - [c76]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 - [c75]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR 2022: 546-555 - [c74]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen:
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR 2022: 1294-1303 - [c73]Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang:
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. SIGIR 2022: 1664-1673 - [c72]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [i28]Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang:
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. CoRR abs/2204.02592 (2022)