Quoc Viet Hung Nguyen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
76
Venues
22
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*ICDE15 papers
- A*SIGIR12 papers
- A*WWW8 papers
- BACIIDS5 papers
- AustralasianADC3 papers
- ACIKM3 papers
- A*ICDM3 papers
- BIJCNN3 papers
- AWSDM3 papers
- A*KDD3 papers
- A*AAAI2 papers
- BDASFAA2 papers
- BSMC2 papers
- A*EMNLP2 papers
- CADMA2 papers
- A*IJCAI2 papers
- A*ACL1 paper
- A*ICCV1 paper
- MulticonferenceICCS1 paper
- A*SIGMOD1 paper
- CPDCAT1 paper
- BPRICAI1 paper
Papers
76 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World. | Jiaqi Zhang, Chen Gao, Liyuan Zhang, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2026 | ACIIDS | Distributed Seasonal Temporal Pattern Mining. | Van Ho-Long, Nguyen Ho, Anh-Vu Dinh-Duc, Ha Manh Tran, Ky Trung Nguyen, Tran Dung Pham, Quoc Viet Hung Nguyen |
| 2026 | ACIIDS | LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation. | Thi Minh Chau Nguyen, Minh Hieu Nguyen, Duc Anh Nguyen, Xuan Huong Tran, Thanh Trung Huynh, Quoc Viet Hung Nguyen |
| 2026 | ACL | Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection. | Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | ICDE | Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards. | Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich, Thanh Tam Nguyen, Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen |
| 2026 | ICDE | An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data. | Trinh Pham, Thanh Tam Nguyen, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen |
| 2026 | WWW | OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models. | Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan |
| 2026 | WWW | Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection. | Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin |
| 2026 | SIGIR | LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation. | Hongzhi Yin, Wei Yuan, Yi Zhang, Joel Mackenzie, Quoc Viet Hung Nguyen, Wayne Xin Zhao, Yong Li, Lina Yao |
| 2025 | ACIIDS | Streaming Counterfactual Subset Selection with Bias Awareness. | Minh Hieu Nguyen, Viet Hung Doan, Anh Tuan Nguyen, Jun Jo, Quoc Viet Hung Nguyen |
| 2025 | ADC | An Extensible Benchmark for Value Ambiguity Resolution in Text-to-SQL. | Minh Tam Pham, Quoc Viet Hung Nguyen, Jun Jo, Thanh Tam Nguyen |
| 2025 | ADC | Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents. | Khanh Trinh Pham, Thu Huong Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen |
| 2025 | CIKM | Harnessing Large Language Models for Group POI Recommendations. | Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | CIKM | Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. | Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | DASFAA | HBS-KGLLM: A General Framework for Generating Knowledge Graphs for Jailbreaking. | Xinzhe Zhao, Bohan Li, Junnan Zhuo, Wenlong Wu, Ruilong Huang, Yuanrui Liu, Haofen Wang, Hua Dai, Quoc Viet Hung Nguyen |
| 2025 | ICCV | Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data. | Thu Hang Phung, Duong M. Nguyen, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Trong Nghia Hoang, Phi Le Nguyen |
| 2025 | ICDM | Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics. | Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | SMC | Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. | Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi |
| 2025 | SMC | The Emergence of Deep Reinforcement Learning for Path Planning. | Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen |
| 2025 | WWW | On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. | Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin |
| 2025 | WWW | Graph Condensation: Foundations, Methods and Prospects. | Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang |
| 2025 | SIGIR | ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. | Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin |
| 2024 | CIKM | Scalable Dynamic Embedding Size Search for Streaming Recommendation. | Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | EMNLP | CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction. | Tuan Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen |
| 2024 | ICDE | Graph Condensation for Inductive Node Representation Learning. | Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin |
| 2024 | ICDE | Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. | Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin |
| 2024 | ICDE | Hide Your Model: A Parameter Transmission-free Federated Recommender System. | Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin |
| 2024 | IJCNN | Hierarchical Federated Learning in MEC Networks with Knowledge Distillation. | Tuan Dung Nguyen, Ngoc Anh Tong, Binh P. Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh |
| 2024 | IJCNN | A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning. | Thu Hang Phung, Binh P. Nguyen, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh |
| 2024 | WWW | Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. | Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | WWW | Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. | Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | WSDM | Budgeted Embedding Table For Recommender Systems. | Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2023 | ICCS | Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. | Thanh Thi Nguyen, Minh Cuong Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi |
| 2023 | ICDE | Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). | Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen |
| 2023 | ICDM | Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. | Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin |
| 2023 | IJCNN | 10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. | Thanh Toan Nguyen, Quang Duc Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen |
| 2023 | WWW | Semi-decentralized Federated Ego Graph Learning for Recommendation. | Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin |
| 2023 | WWW | Interaction-level Membership Inference Attack Against Federated Recommender Systems. | Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin |
| 2023 | SIGIR | Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. | Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin |
| 2023 | SIGIR | Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. | Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin |
| 2023 | SIGIR | DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. | Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao |
| 2023 | WSDM | Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. | Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer |
| 2022 | ACIIDS | A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting. | Minh Hieu Nguyen, Viet Huy Nguyen, Thanh Trung Huynh, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen |
| 2022 | ADMA | A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction. | Nguyen Duc Khang Quach, Chaoqun Yang, Viet Hung Vu, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo |
| 2022 | EMNLP | Joint Multilingual Knowledge Graph Completion and Alignment. | Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh, Tam Thanh Nguyen, Quoc Viet Hung Nguyen, Mathias Niepert |
| 2022 | ICDE | Network Alignment with Holistic Embeddings (Extended Abstract). | Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen |
| 2022 | ICDE | exRumourLens: Auditable Rumour Detection with Multi-View Explanations. | Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen |
| 2022 | SIGIR | On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen |
| 2022 | SIGIR | Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. | Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang |
| 2022 | SIGIR | Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. | Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen |
| 2022 | WSDM | PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. | Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui |
| 2021 | ADMA | Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings. | Xuan Truong Du Chau, Thanh Tam Nguyen, Jun Jo, Quoc Viet Hung Nguyen |
| 2021 | IJCAI | DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. | Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2021 | SIGMOD | EIRES: Efficient Integration of Remote Data in Event Stream Processing. | Bo Zhao, Han van der Aa, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Matthias Weidlich |
| 2020 | AAAI | Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. | Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2020 | ICDE | Sequence-Aware Factorization Machines for Temporal Predictive Analytics. | Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou |
| 2020 | ICDE | Graph Embeddings for One-pass Processing of Heterogeneous Queries. | Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minn Hung Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer |
| 2020 | SIGIR | FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. | Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, Quoc Viet Hung Nguyen |
| 2020 | SIGIR | GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. | Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui |
| 2019 | DASFAA | Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. | Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen |
| 2019 | ICDE | Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. | Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li |
| 2019 | ICDE | AIR: Attentional Intention-Aware Recommender Systems. | Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li |
| 2019 | IJCAI | Inferring Substitutable Products with Deep Network Embedding. | Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen |
| 2019 | KDD | Enhancing Collaborative Filtering with Generative Augmentation. | Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui |
| 2019 | PDCAT | Optimising Deep Learning Split Deployment for IoT Edge Networks. | Cailen Robertson, Jia Li, Ryoma J. Ohira, Quoc Viet Hung Nguyen, Jun Jo |
| 2019 | PRICAI | Network Alignment by Representation Learning on Structure and Attribute. | Thanh Trung Huynh, Van Vinh Tong, Chi Thang Duong, Huynh Quyet Thang, Quoc Viet Hung Nguyen, Abdul Sattar |
| 2019 | SIGIR | Online User Representation Learning Across Heterogeneous Social Networks. | Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, Quoc Viet Hung Nguyen |
| 2018 | ACIIDS | An Ensemble System with Random Projection and Dynamic Ensemble Selection. | Manh Truong Dang, Anh Vu Luong, Tuyet-Trinh Vu, Quoc Viet Hung Nguyen, Tien Thanh Nguyen, Bela Stantic |
| 2018 | ICDE | What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration. | Quoc Viet Hung Nguyen, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Thanh Tam Nguyen, Bela Stantic |
| 2018 | ICDE | Computing Crowd Consensus with Partial Agreement. | Quoc Viet Hung Nguyen, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou |
| 2018 | ICDE | Joint Event-Partner Recommendation in Event-Based Social Networks. | Hongzhi Yin, Lei Zou, Quoc Viet Hung Nguyen, Zi Huang, Xiaofang Zhou |
| 2018 | KDD | PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. | Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li |
| 2018 | KDD | REST: A Reference-based Framework for Spatio-temporal Trajectory Compression. | Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen, Kai Zheng |
| 2018 | SIGIR | Streaming Ranking Based Recommender Systems. | Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen |
| 2017 | ADC | Provenance-Based Rumor Detection. | Chi Thang Duong, Quoc Viet Hung Nguyen, Sen Wang, Bela Stantic |
| 2017 | ICDM | SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. | Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen |