default search action
Nguyen Quoc Viet Hung
Quoc Viet Hung Nguyen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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)