Generating complete university course timetables by using local search methods. - Duong Tuan Anh; Vo Hoang Tam; Nguyen Quoc Viet Hung (RIVF, 2006)

An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases. - Nguyen Quoc Viet Hung; Duong Tuan Anh (PRICAI, 2008)

A Framework to Combine Multiple Matchers for Pair-Wise Schema Matching. - Thanh Tam Nguyen; Nguyen Quoc Viet Hung; Thanh Tho Quan (RIVF, 2012)

An MAS negotiation support tool for schema matching. - Nguyen Quoc Viet Hung; Xuan Hoai Luong; Zoltán Miklós 001; Thanh Tho Quan; Karl Aberer (AAMAS, 2013)

On Leveraging Crowdsourcing Techniques for Schema Matching Networks. - Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Zoltán Miklós 001; Karl Aberer (DASFAA (2), 2013)

Minimizing Human Effort in Reconciling Match Networks. - Nguyen Quoc Viet Hung; Tri Kurniawan Wijaya; Zoltán Miklós 001; Karl Aberer; Eliezer Levy; Victor Shafran; Avigdor Gal; Matthias Weidlich 001 (ER, 2013)

Completeness and Ambiguity of Schema Cover. - Avigdor Gal; Michael Katz 001; Tomer Sagi; Matthias Weidlich 001; Karl Aberer; Nguyen Quoc Viet Hung; Zoltán Miklós 001; Eliezer Levy; Victor Shafran (OTM Conferences, 2013)

Collaborative Schema Matching Reconciliation. - Nguyen Quoc Viet Hung; Xuan Hoai Luong; Zoltán Miklós 001; Thanh Tho Quan; Karl Aberer (OTM Conferences, 2013)

BATC: a benchmark for aggregation techniques in crowdsourcing. - Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Ngoc Tran Lam; Karl Aberer (SIGIR, 2013)

Using motif information to improve anytime time series classification. - Nguyen Quoc Viet Hung; Duong Tuan Anh (SoCPaR, 2013)

An Evaluation of Aggregation Techniques in Crowdsourcing. - Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Ngoc Tran Lam; Karl Aberer (WISE (2), 2013)

An Evaluation of Model-Based Approaches to Sensor Data Compression. - Nguyen Quoc Viet Hung; Hoyoung Jeung; Karl Aberer (IEEE Trans. Knowl. Data Eng., 2013)

Towards enabling probabilistic databases for participatory sensing. - Nguyen Quoc Viet Hung; Saket Sathe 001; Chi Thang Duong; Karl Aberer (CollaborateCom, 2014)

Privacy-Preserving Schema Reuse. - Nguyen Quoc Viet Hung; Do Son Thanh; Thanh Tam Nguyen; Karl Aberer (DASFAA (2), 2014)

Pay-as-you-go reconciliation in schema matching networks. - Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Zoltán Miklós 001; Karl Aberer; Avigdor Gal; Matthias Weidlich 001 (ICDE, 2014)

Reconciling Schema Matching Networks Through Crowdsourcing. - Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Zoltán Miklós 001; Karl Aberer (EAI Endorsed Trans. Collab. Comput., 2014)

Reconciling Schema Matching Networks. - Nguyen Quoc Viet Hung (2014)

Tag-Based Paper Retrieval: Minimizing User Effort with Diversity Awareness. - Nguyen Quoc Viet Hung; Do Son Thanh; Thanh Tam Nguyen; Karl Aberer (DASFAA (1), 2015)

An Evaluation of Diversification Techniques. - Duong Chi Thang; Thanh Tam Nguyen; Nguyen Quoc Viet Hung; Karl Aberer (DEXA (2), 2015)

SMART: A tool for analyzing and reconciling schema matching networks. - Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Vinh Tuan Chau; Tri Kurniawan Wijaya; Zoltán Miklós 001; Karl Aberer; Avigdor Gal; Matthias Weidlich 001 (ICDE, 2015)

Result selection and summarization for Web Table search. - Thanh Tam Nguyen; Nguyen Quoc Viet Hung; Matthias Weidlich 001; Karl Aberer (ICDE, 2015)

ERICA: Expert Guidance in Validating Crowd Answers. - Nguyen Quoc Viet Hung; Duong Chi Thang; Matthias Weidlich 001; Karl Aberer (SIGIR, 2015)

Minimizing Efforts in Validating Crowd Answers. - Nguyen Quoc Viet Hung; Duong Chi Thang; Matthias Weidlich 001; Karl Aberer (SIGMOD Conference, 2015)

Scalable and Fast Top-k Most Similar Trajectories Search Using MapReduce In-Memory. - Douglas Alves Peixoto; Nguyen Quoc Viet Hung (ADC, 2016)

Discovering interpretable geo-social communities for user behavior prediction. - Hongzhi Yin; Zhiting Hu; Xiaofang Zhou 001; Hao Wang 005; Kai Zheng 001; Nguyen Quoc Viet Hung; Shazia Sadiq (ICDE, 2016)

Adapting to User Interest Drift for POI Recommendation. - Hongzhi Yin; Xiaofang Zhou 001; Bin Cui 001; Hao Wang 005; Kai Zheng 001; Nguyen Quoc Viet Hung (IEEE Trans. Knowl. Data Eng., 2016)

Provenance-Based Rumor Detection. - Chi Thang Duong; Quoc Viet Hung Nguyen; Sen Wang 001; Bela Stantic (ADC, 2017)

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. - Hongzhi Yin; Liang Chen 001; Weiqing Wang 001; Xingzhong Du; Nguyen Quoc Viet Hung; Xiaofang Zhou 001 (ICDE, 2017)

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. - Hongzhi Yin; Hongxu Chen 002; Xiaoshuai Sun; Hao Wang 005; Yang Wang 023; Quoc Viet Hung Nguyen (ICDM, 2017)

Retaining Data from Streams of Social Platforms with Minimal Regret. - Thanh Tam Nguyen; Matthias Weidlich 001; Duong Chi Thang; Hongzhi Yin; Nguyen Quoc Viet Hung (IJCAI, 2017)

A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization. - Xiaolong Deng; Yingtong Dou; Tiejun Lv; Quoc Viet Hung Nguyen (IEEE Access, 2017)

Argument discovery via crowdsourcing. - Nguyen Quoc Viet Hung; Chi Thang Duong; Thanh Tam Nguyen; Matthias Weidlich 001; Karl Aberer; Hongzhi Yin; Xiaofang Zhou 001 (VLDB J., 2017)

Answer validation for generic crowdsourcing tasks with minimal efforts. - Nguyen Quoc Viet Hung; Duong Chi Thang; Thanh Tam Nguyen; Matthias Weidlich 001; Karl Aberer; Hongzhi Yin; Xiaofang Zhou 001 (VLDB J., 2017)

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 (ACIIDS (1), 2018)

Bootstrapping Uncertainty in Schema Covering. - Nguyen Thanh Toan; Thanh Cong Phan; Duong Chi Thang; Nguyen Quoc Viet Hung; Bela Stantic (ADC, 2018)

A System for Spatial-Temporal Trajectory Data Integration and Representation. - Douglas Alves Peixoto; Xiaofang Zhou 001; Nguyen Quoc Viet Hung; Dan He; Bela Stantic (DASFAA (2), 2018)

Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation. - Weiqing Wang 001; Hongzhi Yin; Zi Huang; Xiaoshuai Sun; Nguyen Quoc Viet Hung (DASFAA (1), 2018)

What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration. - Quoc Viet Hung Nguyen; Kai Zheng 001; Matthias Weidlich 001; Bolong Zheng; Hongzhi Yin; Thanh Tam Nguyen; Bela Stantic (ICDE, 2018)

Joint Event-Partner Recommendation in Event-Based Social Networks. - Hongzhi Yin; Lei Zou 001; Quoc Viet Hung Nguyen; Zi Huang; Xiaofang Zhou 001 (ICDE, 2018)

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. - Hongxu Chen 002; Hongzhi Yin; Weiqing Wang 001; Hao Wang 005; Quoc Viet Hung Nguyen; Xue Li 001 (KDD, 2018)

REST: A Reference-based Framework for Spatio-temporal Trajectory Compression. - Yan Zhao 008; Shuo Shang; Yu Wang; Bolong Zheng; Quoc Viet Hung Nguyen; Kai Zheng 001 (KDD, 2018)

Concept for Evaluation of Techniques for Trajectory Distance Measures. - Douglas Alves Peixoto; Han Su 001; Nguyen Quoc Viet Hung; Bela Stantic; Bolong Zheng; Xiaofang Zhou 001 (MDM, 2018)

Streaming Ranking Based Recommender Systems. - Weiqing Wang 001; Hongzhi Yin; Zi Huang; Qinyong Wang; Xingzhong Du; Quoc Viet Hung Nguyen (SIGIR, 2018)

Minimizing Efforts in Reconciling Participatory Sensing Data. - Thanh Cong Phan; Nguyen Thanh Toan; Nguyen Quoc Viet Hung; Bela Stantic (WIMS, 2018)

Diversifying Group Recommendation. - Nguyen Thanh Toan; Thanh Cong Phan; Thanh Tam Nguyen; Nguyen Quoc Viet Hung; Bela Stantic (IEEE Access, 2018)

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. - Hongzhi Yin; Weiqing Wang 001; Liang Chen 001; Xingzhong Du; Quoc Viet Hung Nguyen; Zi Huang (Knowl. Based Syst., 2018)

TPM: A Temporal Personalized Model for Spatial Item Recommendation. - Weiqing Wang 001; Hongzhi Yin; Xingzhong Du; Quoc Viet Hung Nguyen; Xiaofang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2018)

Computing Crowd Consensus with Partial Agreement. - Nguyen Quoc Viet Hung; Huynh Huu Viet; Thanh Tam Nguyen; Matthias Weidlich 001; Hongzhi Yin; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2018)

Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network. - Nguyen Thanh Toan; Orçun Gümüs; Thanh Tam Nguyen; Nguyen Quoc Viet Hung; René Hexel; Jun Jo 001 (AusDM, 2019)

Multiple Rumor Source Detection with Graph Convolutional Networks. - Ming Dong 004; Bolong Zheng; Nguyen Quoc Viet Hung; Han Su 001; GuoHui Li 001 (CIKM, 2019)

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. - Qinyong Wang; Hongzhi Yin; Weiqing Wang 001; Zi Huang; Guibing Guo; Quoc Viet Hung Nguyen (DASFAA (1), 2019)

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. - Hongxu Chen 002; Hongzhi Yin; Tong Chen 005; Quoc Viet Hung Nguyen; Wen-Chih Peng; Xue Li 001 (ICDE, 2019)

AIR: Attentional Intention-Aware Recommender Systems. - Tong Chen 005; Hongzhi Yin; Hongxu Chen 002; Rui Yan 001; Quoc Viet Hung Nguyen; Xue Li 001 (ICDE, 2019)

Answering Why-Not Group Spatial Keyword Queries (Extended Abstract). - Bolong Zheng; Kai Zheng 001; Christian S. Jensen; Nguyen Quoc Viet Hung; Han Su 001; GuoHui Li 001; Xiaofang Zhou 001 (ICDE, 2019)

Inferring Substitutable Products with Deep Network Embedding. - Shijie Zhang; Hongzhi Yin; Qinyong Wang; Tong Chen 005; Hongxu Chen 002; Quoc Viet Hung Nguyen (IJCAI, 2019)

Streaming Session-based Recommendation. - Lei Guo 008; Hongzhi Yin; Qinyong Wang; Tong Chen 005; Alexander Zhou 001; Nguyen Quoc Viet Hung (KDD, 2019)

Enhancing Collaborative Filtering with Generative Augmentation. - Qinyong Wang; Hongzhi Yin; Hao Wang 005; Quoc Viet Hung Nguyen; Zi Huang; Lizhen Cui (KDD, 2019)

Optimising Deep Learning Split Deployment for IoT Edge Networks. - Cailen Robertson; Jia Li; Ryoma J. Ohira; Quoc Viet Hung Nguyen; Jun Jo 001 (PDCAT, 2019)

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 001 (PRICAI (2), 2019)

A deep learning approach for early wildfire detection from hyperspectral satellite images. - Nguyen Thanh Toan; Thanh Cong Phan; Nguyen Quoc Viet Hung; Jun Jo 001 (RiTA, 2019)

Online User Representation Learning Across Heterogeneous Social Networks. - Weiqing Wang 001; Hongzhi Yin; Xingzhong Du; Wen Hua; Yongjun Li 006; Quoc Viet Hung Nguyen (SIGIR, 2019)

Parallel Computation of Graph Embeddings. - Chi Thang Duong; Hongzhi Yin; Thanh Dat Hoang; Truong Giang Le Ba; Matthias Weidlich 001; Quoc Viet Hung Nguyen; Karl Aberer (CoRR, 2019)

On Node Features for Graph Neural Networks. - Chi Thang Duong; Thanh Dat Hoang; Ha The Hien Dang; Quoc Viet Hung Nguyen; Karl Aberer (CoRR, 2019)

A framework for parallel map-matching at scale using Spark. - Douglas Alves Peixoto; Nguyen Quoc Viet Hung; Bolong Zheng; Xiaofang Zhou 001 (Distributed Parallel Databases, 2019)

Maximal fusion of facts on the web with credibility guarantee. - Thanh Tam Nguyen; Thanh Cong Phan; Quoc Viet Hung Nguyen; Karl Aberer; Bela Stantic (Inf. Fusion, 2019)

Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models. - Nguyen Quoc Viet Hung; Matthias Weidlich 001; Thanh Tam Nguyen; Zoltán Miklós 001; Karl Aberer; Avigdor Gal; Bela Stantic (Inf. Syst., 2019)

Multi-label classification via label correlation and first order feature dependance in a data stream. - Tien Thanh Nguyen; Thi Thu Thuy Nguyen; Anh Vu Luong; Quoc Viet Hung Nguyen; Alan Wee-Chung Liew; Bela Stantic (Pattern Recognit., 2019)

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms. - Thanh Tam Nguyen; Matthias Weidlich 001; Bolong Zheng; Hongzhi Yin; Quoc Viet Hung Nguyen; Bela Stantic (Proc. VLDB Endow., 2019)

User Guidance for Efficient Fact Checking. - Thanh Tam Nguyen; Hongzhi Yin; Matthias Weidlich 001; Bolong Zheng; Quoc Viet Hung Nguyen; Bela Stantic (Proc. VLDB Endow., 2019)

Efficient User Guidance for Validating Participatory Sensing Data. - Thanh Cong Phan; Thanh Tam Nguyen; Hongzhi Yin; Bolong Zheng; Bela Stantic; Nguyen Quoc Viet Hung (ACM Trans. Intell. Syst. Technol., 2019)

Spatiotemporal Representation Learning for Translation-Based POI Recommendation. - Tieyun Qian; Bei Liu; Quoc Viet Hung Nguyen; Hongzhi Yin (ACM Trans. Inf. Syst., 2019)

Searching activity trajectory with keywords. - Bolong Zheng; Kai Zheng 001; Peter Scheuermann; Xiaofang Zhou 001; Quoc Viet Hung Nguyen; Chenliang Li (World Wide Web, 2019)

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. - Ke Sun 010; Tieyun Qian; Tong Chen 005; Yile Liang; Quoc Viet Hung Nguyen; Hongzhi Yin (AAAI, 2020)

Sequence-Aware Factorization Machines for Temporal Predictive Analytics. - Tong Chen 005; Hongzhi Yin; Quoc Viet Hung Nguyen; Wen-Chih Peng; Xue Li 001; Xiaofang Zhou 001 (ICDE, 2020)

Graph Embeddings for One-pass Processing of Heterogeneous Queries. - Chi Thang Duong; Hongzhi Yin; Dung Hoang; Minn Hung Nguyen; Matthias Weidlich 001; Quoc Viet Hung Nguyen; Karl Aberer (ICDE, 2020)

Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. - Thanh Trung Huynh; Van Vinh Tong; Thanh Tam Nguyen; Hongzhi Yin; Matthias Weidlich 001; Nguyen Quoc Viet Hung (ICDE, 2020)

Load Shedding for Complex Event Processing: Input-based and State-based Techniques. - Bo Zhao 019; Nguyen Quoc Viet Hung; Matthias Weidlich 001 (ICDE, 2020)

Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. - Bolong Zheng; Chenze Huang; Christian S. Jensen; Lu Chen 001; Nguyen Quoc Viet Hung; Guanfeng Liu 001; GuoHui Li 001; Kai Zheng 001 (ICDE, 2020)

FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. - Thanh Tam Nguyen; Matthias Weidlich 001; Hongzhi Yin; Bolong Zheng; Quang Huy Nguyen; Quoc Viet Hung Nguyen (SIGIR, 2020)

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. - Shijie Zhang; Hongzhi Yin; Tong Chen 005; Quoc Viet Hung Nguyen; Zi Huang; Lizhen Cui (SIGIR, 2020)

Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection. - Chau Xuan Truong Du; Le Hoang Duong; Thanh Trung Huynh; Minh Tam Pham; Nguyen Quoc Viet Hung; Jun Jo 001 (SSCI, 2020)

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. - Qinyong Wang; Hongzhi Yin; Tong Chen 005; Zi Huang; Hao Wang 005; Yanchang Zhao; Nguyen Quoc Viet Hung (WWW, 2020)

Multi-Scale Bushfire Detection From Multi-Modal Streams of Remote Sensing Data. - Thanh Cong Phan; Thanh Tam Nguyen; Thanh Dat Hoang; Quoc Viet Hung Nguyen; Jun Jo 001 (IEEE Access, 2020)

A comparative study on network alignment techniques. - Thanh Trung Huynh; Nguyen Thanh Toan; Van Vinh Tong; Thanh Dat Hoang; Duong Chi Thang; Nguyen Quoc Viet Hung; Abdul Sattar 001 (Expert Syst. Appl., 2020)

F-Mapper: A Fuzzy Mapper clustering algorithm. - Quang-Thinh Bui; Bay Vo; Hoang-Anh Nguyen Do; Nguyen Quoc Viet Hung; Václav Snásel (Knowl. Based Syst., 2020)

PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search. - Bolong Zheng; Xi Zhao 006; Lianggui Weng; Nguyen Quoc Viet Hung; Hang Liu 001; Christian S. Jensen (Proc. VLDB Endow., 2020)

Group-Based Recurrent Neural Networks for POI Recommendation. - Guohui Li 001; Qi Chen 017; Bolong Zheng; Hongzhi Yin; Quoc Viet Hung Nguyen; Xiaofang Zhou 001 (Trans. Data Sci., 2020)

Searching Activity Trajectories by Exemplar. - Zhong Yang; Bolong Zheng; Guohui Li 001; Nguyen Quoc Viet Hung; Guanfeng Liu 001; Kai Zheng 001 (Trans. Data Sci., 2020)

Answering Why-Not Group Spatial Keyword Queries. - Bolong Zheng; Kai Zheng 001; Christian S. Jensen; Nguyen Quoc Viet Hung; Han Su 001; Guohui Li 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2020)

CRSAL: Conversational Recommender Systems with Adversarial Learning. - Xuhui Ren; Hongzhi Yin; Tong Chen 005; Hao Wang 005; Nguyen Quoc Viet Hung; Zi Huang; Xiangliang Zhang 001 (ACM Trans. Inf. Syst., 2020)

Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods. - GuoHui Li 001; Qi Chen 017; Bolong Zheng; Nguyen Quoc Viet Hung; Pan Zhou 001; Guanfeng Liu 001 (ACM Trans. Web, 2020)

Misinformation-oriented expert finding in social networks. - GuoHui Li 001; Ming Dong 004; Fuming Yang; Jun Zeng; Jiansen Yuan; Congyuan Jin; Nguyen Quoc Viet Hung; Phan Thanh Cong; Bolong Zheng (World Wide Web, 2020)

Realtime Bushfire Detection with Spatial-based Complex Event Processing. - Thanh Tam Nguyen; Thanh Toan Nguyen; Thanh Cong Phan; Quang Duc Nguyen; Quoc Viet Hung Nguyen (ACOMP, 2021)

Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings. - Xuan Truong Du Chau; Thanh Tam Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (ADMA, 2021)

ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots. - Le Hoang Duong; Thanh Trung Huynh; Minh Tam Pham; Gwangzeen Ko; Jung Ick Moon; Jun Jo 001; Nguyen Quoc Viet Hung (DICTA, 2021)

SpeakNav: A Voice-based Navigation System via Route Description Language Understanding. - Lei Bi 005; Juan Cao; Guohui Li 001; Nguyen Quoc Viet Hung; Christian S. Jensen; Bolong Zheng (ICDE, 2021)

Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract). - Thanh Tam Nguyen; Thanh Trung Huynh; Hongzhi Yin; Tong Van Vinh; Darnbi Sakong; Bolong Zheng; Nguyen Quoc Viet Hung (ICDE, 2021)

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. - Lei Guo 008; Li Tang; Tong Chen 005; Lei Zhu 002; Quoc Viet Hung Nguyen; Hongzhi Yin (IJCAI, 2021)

Socially-Aware Self-Supervised Tri-Training for Recommendation. - Junliang Yu; Hongzhi Yin; Min Gao 001; Xin Xia 013; Xiangliang Zhang 001; Nguyen Quoc Viet Hung (KDD, 2021)

EIRES: Efficient Integration of Remote Data in Event Stream Processing. - Bo Zhao 019; Han van der Aa; Thanh Tam Nguyen; Quoc Viet Hung Nguyen; Matthias Weidlich 001 (SIGMOD Conference, 2021)

Heterogeneous Hypergraph Embedding for Graph Classification. - Xiangguo Sun; Hongzhi Yin; Bo Liu 004; Hongxu Chen 002; Jiuxin Cao; Yingxia Shao; Nguyen Quoc Viet Hung (WSDM, 2021)

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. - Junliang Yu; Hongzhi Yin; Jundong Li; Qinyong Wang; Nguyen Quoc Viet Hung; Xiangliang Zhang 001 (WWW, 2021)

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. - Shijie Zhang; Hongzhi Yin; Tong Chen 005; Zi Huang; Quoc Viet Hung Nguyen; Lizhen Cui (CoRR, 2021)

A dual benchmarking study of facial forgery and facial forensics. - Minh Tam Pham; Thanh Trung Huynh; Van Vinh Tong; Thanh Tam Nguyen; Thanh Thi Nguyen 001; Hongzhi Yin; Quoc Viet Hung Nguyen (CoRR, 2021)

Graph Augmentation-Free Contrastive Learning for Recommendation. - Junliang Yu; Hongzhi Yin; Xin Xia 013; Lizhen Cui; Quoc Viet Hung Nguyen (CoRR, 2021)

Link-Intensive Alignment for Incomplete Knowledge Graphs. - Vinh Van Tong; Thanh Trung Huynh; Thanh Tam Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen; Huynh Quyet Thang (CoRR, 2021)

Structural representation learning for network alignment with self-supervised anchor links. - Thanh Toan Nguyen; Minh Tam Pham; Thanh Tam Nguyen; Thanh Trung Huynh; Van Vinh Tong; Quoc Viet Hung Nguyen; Thanh Tho Quan (Expert Syst. Appl., 2021)

JUDO: Just-in-time rumour detection in streaming social platforms. - Thanh Toan Nguyen; Thanh Tam Nguyen; Thanh Thi Nguyen 001; Bay Vo; Jun Jo 001; Quoc Viet Hung Nguyen (Inf. Sci., 2021)

Efficient Streaming Subgraph Isomorphism with Graph Neural Networks. - Chi Thang Duong; Dung Hoang; Hongzhi Yin; Matthias Weidlich 001; Quoc Viet Hung Nguyen; Karl Aberer (Proc. VLDB Endow., 2021)

Scalable Robust Graph Embedding with Spark. - Chi Thang Duong; Dung Hoang; Hongzhi Yin; Matthias Weidlich 001; Quoc Viet Hung Nguyen; Karl Aberer (Proc. VLDB Endow., 2021)

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 (ACIIDS (2), 2022)

A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction. - Nguyen Duc Khang Quach; Chaoqun Yang 002; Viet Hung Vu; Thanh Tam Nguyen; Quoc Viet Hung Nguyen; Jun Jo 001 (ADMA (1), 2022)

Joint Multilingual Knowledge Graph Completion and Alignment. - Vinh Tong; Dat Quoc Nguyen; Trung Thanh Huynh; Tam Thanh Nguyen; Quoc Viet Hung Nguyen; Mathias Niepert (EMNLP (Findings), 2022)

Network Alignment with Holistic Embeddings (Extended Abstract). - Thanh Trung Huynh; Duong Chi Thang; Thanh Tam Nguyen; Van Vinh Tong; Abdul Sattar 001; Hongzhi Yin; Quoc Viet Hung Nguyen (ICDE, 2022)

exRumourLens: Auditable Rumour Detection with Multi-View Explanations. - Thanh Cong Phan; Thanh Tam Nguyen; Matthias Weidlich 001; Hongzhi Yin; Jun Jo 001; Quoc Viet Hung Nguyen (ICDE, 2022)

CIRCLE: continual repair across programming languages. - Wei Yuan 003; Quanjun Zhang; Tieke He; Chunrong Fang; Nguyen Quoc Viet Hung; Xiaodong Hao; Hongzhi Yin (ISSTA, 2022)

Lightweight Branching Self-distillation: Be Your Own Teacher. - Cailen Robertson; Duong Le; Thanh Tam Nguyen; Quoc Viet Hung Nguyen; Jun Jo 001 (RiTA, 2022)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. - Xin Xia 013; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Quoc Viet Hung Nguyen (SIGIR, 2022)

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. - Tong Chen 005; Hongzhi Yin; Jing Long; Quoc Viet Hung Nguyen; Yang Wang 023; Meng Wang 001 (SIGIR, 2022)

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. - Junliang Yu; Hongzhi Yin; Xin Xia 013; Tong Chen 005; Lizhen Cui; Quoc Viet Hung Nguyen (SIGIR, 2022)

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. - Shijie Zhang; Hongzhi Yin; Tong Chen 005; Zi Huang; Quoc Viet Hung Nguyen; Lizhen Cui (WSDM, 2022)

A Survey of Machine Unlearning. - Thanh Tam Nguyen; Thanh Trung Huynh; Phi Le Nguyen; Alan Wee-Chung Liew; Hongzhi Yin; Quoc Viet Hung Nguyen (CoRR, 2022)

Joint Multilingual Knowledge Graph Completion and Alignment. - Vinh Tong; Dat Quoc Nguyen; Thanh Trung Huynh; Thanh Tam Nguyen; Nguyen Quoc Viet Hung; Mathias Niepert (CoRR, 2022)

Efficient Graph Neural Network Inference at Large Scale. - Xinyi Gao 001; Wentao Zhang 001; Yingxia Shao; Quoc Viet Hung Nguyen; Bin Cui 001; Hongzhi Yin (CoRR, 2022)

Deep learning for deepfakes creation and detection: A survey. - Thanh Nguyen 004; Quoc Viet Hung Nguyen; Dung Tien Nguyen; Duc Thanh Nguyen; Thien Huynh-The; Saeid Nahavandi; Thanh Tam Nguyen; Quoc-Viet Pham; Cuong M. Nguyen (Comput. Vis. Image Underst., 2022)

Real-time wildfire detection with semantic explanations. - Thanh Cong Phan; Nguyen Duc Khang Quach; Thanh Tam Nguyen; Thanh Toan Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (Expert Syst. Appl., 2022)

Preface - Special Issue on Misinformation on the Web. - Karl Aberer; Ioannis Katakis 001; Quoc Viet Hung Nguyen; Hongzhi Yin (Inf. Syst., 2022)

Model-agnostic and diverse explanations for streaming rumour graphs. - Thanh Tam Nguyen; Thanh Cong Phan; Minh Hieu Nguyen; Matthias Weidlich 001; Hongzhi Yin; Jun Jo 001; Quoc Viet Hung Nguyen (Knowl. Based Syst., 2022)

Incremental Density-Based Clustering on Multicore Processors. - Son T. Mai; Jon Jacobsen; Sihem Amer-Yahia; Ivor T. A. Spence; Nhat-Phuong Tran; Ira Assent; Quoc Viet Hung Nguyen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks. - Duong Chi Thang; Thanh Dat Hoang; Thanh Tam Nguyen; Jun Jo 001; Nguyen Quoc Viet Hung; Karl Aberer (Pattern Recognit. Lett., 2022)

Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent. - Guanhua Ye; Hongzhi Yin; Tong Chen 005; Miao Xu 001; Quoc Viet Hung Nguyen; Jiangning Song (IEEE J. Biomed. Health Informatics, 2022)

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. - Chi Thang Duong; Thanh Tam Nguyen; Hongzhi Yin; Matthias Weidlich 001; Son Thai Mai; Karl Aberer; Quoc Viet Hung Nguyen (IEEE Trans. Knowl. Data Eng., 2022)

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks. - Thanh Tam Nguyen; Thanh Trung Huynh; Hongzhi Yin; Tong Van Vinh; Darnbi Sakong; Bolong Zheng; Quoc Viet Hung Nguyen (IEEE Trans. Knowl. Data Eng., 2022)

PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. - Bolong Zheng; Xi Zhao 006; Lianggui Weng; Quoc Viet Hung Nguyen; Hang Liu 001; Christian S. Jensen (VLDB J., 2022)

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. - Xinyi Gao 001; Wentao Zhang 001; Tong Chen 005; Junliang Yu; Nguyen Quoc Viet Hung; Hongzhi Yin (CIKM, 2023)

Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. - Thanh Thi Nguyen 001; Minh Cuong Nguyen; Thien Huynh-The; Quoc-Viet Pham; Quoc Viet Hung Nguyen; Imran Razzak; Vijay Janapa Reddi (ICCS (2), 2023)

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). - Thanh Tam Nguyen; Chi Thang Duong; Hongzhi Yin; Matthias Weidlich 001; Son Thai Mai; Karl Aberer; Quoc Viet Hung Nguyen (ICDE, 2023)

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. - Xurong Liang; Tong Chen 005; Quoc Viet Hung Nguyen; Jianxin Li; Hongzhi Yin (ICDM, 2023)

10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. - Thanh Toan Nguyen; Quang Duc Nguyen; Zhao Ren; Jun Jo 001; Quoc Viet Hung Nguyen; Thanh Tam Nguyen (IJCNN, 2023)

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. - Xin Zheng 008; Miao Zhang; Chunyang Chen 001; Quoc Viet Hung Nguyen; Xingquan Zhu 001; Shirui Pan (NeurIPS, 2023)

Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach. - Zicheng Zhao; Linhao Luo; Shirui Pan; Quoc Viet Hung Nguyen; Chen Gong 002 (ECML/PKDD (3), 2023)

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. - Jing Long; Tong Chen 005; Quoc Viet Hung Nguyen; Guandong Xu; Kai Zheng 001; Hongzhi Yin (SIGIR, 2023)

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. - Wei Yuan 003; Quoc Viet Hung Nguyen; Tieke He; Liang Chen 001; Hongzhi Yin (SIGIR, 2023)

DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. - Shangfei Zheng; Hongzhi Yin; Tong Chen 005; Quoc Viet Hung Nguyen; Wei Chen 070; Lei Zhao 001 (SIGIR, 2023)

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 001; Quoc Viet Hung Nguyen; Karl Aberer (WSDM, 2023)

Semi-decentralized Federated Ego Graph Learning for Recommendation. - Liang Qu; Ningzhi Tang; Ruiqi Zheng; Quoc Viet Hung Nguyen; Zi Huang; Yuhui Shi 001; Hongzhi Yin (WWW, 2023)

Interaction-level Membership Inference Attack Against Federated Recommender Systems. - Wei Yuan 003; Chaoqun Yang 002; Quoc Viet Hung Nguyen; Lizhen Cui; Tieke He; Hongzhi Yin (WWW, 2023)

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. - He Zhang 012; Xingliang Yuan; Quoc Viet Hung Nguyen; Shirui Pan (CoRR, 2023)

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion. - Anh Duy Nguyen; Huy Hieu Pham 001; Huynh Thanh Trung; Quoc Viet Hung Nguyen; Truong Thao Nguyen; Phi Le Nguyen (CoRR, 2023)

Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling. - Xuhui Ren; Wei Yuan 003; Tong Chen 005; Chaoqun Yang 002; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2023)

Imbalanced Node Classification Beyond Homophilic Assumption. - Jie Liu; Mengting He; Guangtao Wang; Nguyen Quoc Viet Hung; Xuequn Shang 001; Hongzhi Yin (CoRR, 2023)

Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation. - Guanhua Ye; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2023)

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment. - Darnbi Sakong; Thanh Trung Huynh; Thanh Tam Nguyen; Thanh Toan Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (Int. J. Intell. Syst., 2023)

Deep MinCut: Learning Node Embeddings by Detecting Communities. - Chi Thang Duong; Thanh Tam Nguyen; Trung-Dung Hoang; Hongzhi Yin; Matthias Weidlich 001; Quoc Viet Hung Nguyen (Pattern Recognit., 2023)

Network Alignment With Holistic Embeddings. - Thanh Trung Huynh; Chi Thang Duong; Thanh Tam Nguyen; Tong Van Vinh; Abdul Sattar 001; Hongzhi Yin; Quoc Viet Hung Nguyen (IEEE Trans. Knowl. Data Eng., 2023)

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. - Mubashir Imran; Hongzhi Yin; Tong Chen 005; Quoc Viet Hung Nguyen; Alexander Zhou 001; Kai Zheng 001 (ACM Trans. Inf. Syst., 2023)

Decentralized Collaborative Learning Framework for Next POI Recommendation. - Jing Long; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (ACM Trans. Inf. Syst., 2023)

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks. - Thanh Toan Nguyen; Nguyen Duc Khang Quach; Thanh Tam Nguyen; Thanh Trung Huynh; Viet Hung Vu; Phi Le Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (ACM Trans. Inf. Syst., 2023)

Validating functional redundancy with mixed generative adversarial networks. - Thanh Tam Nguyen; Thanh Trung Huynh; Minh Tam Pham; Thanh Dat Hoang; Thanh Thi Nguyen 001; Quoc Viet Hung Nguyen (Knowl. Based Syst., 2023)

Detecting rumours with latency guarantees using massive streaming data. - Thanh Tam Nguyen; Thanh Trung Huynh; Hongzhi Yin; Matthias Weidlich 001; Thanh Thi Nguyen 001; Son Thai Mai; Quoc Viet Hung Nguyen (VLDB J., 2023)

Example-based explanations for streaming fraud detection on graphs. - Thanh Tam Nguyen; Thanh Cong Phan; Hien Thu Pham; Thanh Thi Nguyen 001; Jun Jo 001; Quoc Viet Hung Nguyen (Inf. Sci., 2023)

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts. - Huynh Thanh Trung; Tong Van Vinh; Thanh Tam Nguyen; Jun Jo 001; Hongzhi Yin; Nguyen Quoc Viet Hung (IEEE Trans. Knowl. Data Eng., 2023)

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. - Yu Yang 012; Hongzhi Yin; Jiannong Cao 001; Tong Chen 005; Quoc Viet Hung Nguyen; Xiaofang Zhou 001; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2023)

Scalable maximal subgraph mining with backbone-preserving graph convolutions. - Thanh Toan Nguyen; Thanh Trung Huynh; Matthias Weidlich 001; Quan Thanh Tho; Hongzhi Yin; Karl Aberer; Quoc Viet Hung Nguyen (Inf. Sci., 2023)

Efficient On-Device Session-Based Recommendation. - Xin Xia 013; Junliang Yu; Qinyong Wang; Chaoqun Yang 002; Nguyen Quoc Viet Hung; Hongzhi Yin (ACM Trans. Inf. Syst., 2023)

Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. - Guanhua Ye; Tong Chen 005; Yawen Li 001; Lizhen Cui; Quoc Viet Hung Nguyen; Hongzhi Yin (IEEE J. Biomed. Health Informatics, 2023)

Knowledge-Assisted Small Object Detection. - Le Hoang Duong; Nguyen Quoc Viet Hung; Nguyen Thai Viet Huy; Jun Jo 001 (ADC, 2024)

Scalable Dynamic Embedding Size Search for Streaming Recommendation. - Yunke Qu; Liang Qu; Tong Chen 005; Xiangyu Zhao 001; Quoc Viet Hung Nguyen; Hongzhi Yin (CIKM, 2024)

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 (EMNLP, 2024)

Graph Condensation for Inductive Node Representation Learning. - Xinyi Gao 001; Tong Chen 005; Yilong Zang; Wentao Zhang 001; Quoc Viet Hung Nguyen; Kai Zheng 001; Hongzhi Yin (ICDE, 2024)

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. - Xinyi Gao 001; Wentao Zhang 001; Junliang Yu; Yingxia Shao; Quoc Viet Hung Nguyen; Bin Cui 001; Hongzhi Yin (ICDE, 2024)

Hide Your Model: A Parameter Transmission-free Federated Recommender System. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Quoc Viet Hung Nguyen; Jianxin Li; Hongzhi Yin (ICDE, 2024)

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 (IJCNN, 2024)

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 (IJCNN, 2024)

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. - Thanh Trung Huynh; Trong Bang Nguyen; Phi Le Nguyen; Thanh Tam Nguyen; Matthias Weidlich 001; Quoc Viet Hung Nguyen; Karl Aberer (ECML/PKDD (5), 2024)

Budgeted Embedding Table For Recommender Systems. - Yunke Qu; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (WSDM, 2024)

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. - Lei Guo 008; Ziang Lu; Junliang Yu; Quoc Viet Hung Nguyen; Hongzhi Yin (WWW, 2024)

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. - Jing Long; Tong Chen 005; Guanhua Ye; Kai Zheng 001; Quoc Viet Hung Nguyen; Hongzhi Yin (WWW, 2024)

A dual benchmarking study of facial forgery and facial forensics. - Minh Tam Pham; Thanh Trung Huynh; Thanh Tam Nguyen; Thanh Toan Nguyen; Thanh Thi Nguyen 001; Jun Jo 001; Hongzhi Yin; Quoc Viet Hung Nguyen (CAAI Trans. Intell. Technol., 2024)

Heterogeneous decentralised machine unlearning with seed model distillation. - Guanhua Ye; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CAAI Trans. Intell. Technol., 2024)

Robust Federated Contrastive Recommender System against Model Poisoning Attack. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Guanhua Ye; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures. - Thanh Tam Nguyen; Thanh Trung Huynh; Zhao Ren; Thanh Toan Nguyen; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (CoRR, 2024)

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. - Xinyi Gao 001; Tong Chen 005; Wentao Zhang 001; Junliang Yu; Guanhua Ye; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

Heterogeneous Hypergraph Embedding for Recommendation Systems. - Darnbi Sakong; Viet Hung Vu; Thanh Trung Huynh; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen; Thanh Tam Nguyen (CoRR, 2024)

Multi-turn Response Selection with Commonsense-enhanced Language Models. - Yuandong Wang; Xuhui Ren; Tong Chen 005; Yuxiao Dong; Nguyen Quoc Viet Hung; Jie Tang 001 (CoRR, 2024)

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Xinyi Gao 001; Quoc Viet Hung Nguyen; Shazia Sadiq; Hongzhi Yin (CoRR, 2024)

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services. - Wei Yuan 003; Chaoqun Yang 002; Guanhua Ye; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era. - Thanh Tam Nguyen; Zhao Ren; Trinh Pham; Thanh Trung Huynh; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (CoRR, 2024)

Scalable and Effective Negative Sample Generation for Hyperedge Prediction. - Shilin Qu; Weiqing Wang 001; Yuan-Fang Li; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

Unleashing the Power of Large Language Models for Group POI Recommendations. - Jing Long; Liang Qu; Guanhua Ye; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

Tackling Data Heterogeneity in Federated Time Series Forecasting. - Wei Yuan 003; Guanhua Ye; Xiangyu Zhao 001; Quoc Viet Hung Nguyen; Yang Cao 011; Hongzhi Yin (CoRR, 2024)

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting. - Yufan Zheng; Wei Jiang 006; Alexander Zhou 001; Nguyen Quoc Viet Hung; Choujun Zhan; Tong Chen 005 (CoRR, 2024)

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. - Haiyang Jiang 017; Tong Chen 005; Wentao Zhang 001; Nguyen Quoc Viet Hung; Yuan Yuan 014; Yong Li; Lizhen Cui (CoRR, 2024)

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. - Darnbi Sakong; Viet Hung Vu; Thanh Trung Huynh; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen; Thanh Tam Nguyen (Inf. Sci., 2024)

Portable graph-based rumour detection against multi-modal heterophily. - Thanh Tam Nguyen; Zhao Ren; Thanh Thi Nguyen 001; Jun Jo 001; Quoc Viet Hung Nguyen; Hongzhi Yin (Knowl. Based Syst., 2024)

Graph neural networks with deep mutual learning for designing multi-modal recommendation systems. - Jianing Li; Chaoqun Yang 002; Guanhua Ye; Quoc Viet Hung Nguyen (Inf. Sci., 2024)

TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT. - Yuting Sun; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (IEEE Trans. Ind. Informatics, 2024)

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining. - Thanh Toan Nguyen; Thanh Tam Nguyen; Thanh Hung Nguyen; Hongzhi Yin; Thanh Thi Nguyen 001; Jun Hyung Jo; Quoc Viet Hung Nguyen (ACM Trans. Intell. Syst. Technol., 2024)

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. - Junliang Yu; Xin Xia 013; Tong Chen 005; Lizhen Cui; Nguyen Quoc Viet Hung; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2024)

Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures. - Wei Yuan 003; Shilong Yuan; Chaoqun Yang 002; Nguyen Quoc Viet Hung; Hongzhi Yin (ACM Trans. Inf. Syst., 2024)

Self-supervised air quality estimation with graph neural network assistance and attention enhancement. - Viet Hung Vu; Duc Long Nguyen; Thanh Hung Nguyen; Quoc Viet Hung Nguyen; Phi Le Nguyen; Thanh Trung Huynh (Neural Comput. Appl., 2024)

Explicit Knowledge Graph Reasoning for Conversational Recommendation. - Xuhui Ren; Tong Chen 005; Quoc Viet Hung Nguyen; Lizhen Cui; Zi Huang; Hongzhi Yin (ACM Trans. Intell. Syst. Technol., 2024)

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. - Lijian Chen; Wei Yuan 003; Tong Chen 005; Guanhua Ye; Nguyen Quoc Viet Hung; Hongzhi Yin (ACM Trans. Inf. Syst., 2024)

ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Xinyi Gao 001; Quoc Viet Hung Nguyen; Shazia Sadiq; Hongzhi Yin (SIGIR, 2025)

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. - Hung Vinh Tran; Tong Chen 005; Guanhua Ye; Quoc Viet Hung Nguyen; Kai Zheng 001; Hongzhi Yin (WWW, 2025)

Graph Condensation: Foundations, Methods and Prospects. - Hongzhi Yin; Xinyi Gao 001; Junliang Yu; Ruihong Qiu; Tong Chen 005; Quoc Viet Hung Nguyen; Zi Huang (WWW (Companion Volume), 2025)

Resource-adaptive and OOD-robust inference of deep neural networks on IoT devices. - Cailen Robertson; Ngoc Anh Tong; Thanh Toan Nguyen; Quoc Viet Hung Nguyen; Jun Jo 001 (CAAI Trans. Intell. Technol., 2025)

Privacy-preserving explainable AI: a survey. - Thanh Tam Nguyen; Thanh Trung Huynh; Zhao Ren; Thanh Toan Nguyen; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (Sci. China Inf. Sci., 2025)

Special topic on cloud-edge collaboration for on-device recommendation. - Hongzhi Yin; Bin Cui 001; Xiaofang Zhou 001; Tong Chen 005; Quoc Viet Hung Nguyen; Xiangliang Zhang 001 (Sci. China Inf. Sci., 2025)

Robust federated contrastive recommender system against targeted model poisoning attack. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Guanhua Ye; Quoc Viet Hung Nguyen; Hongzhi Yin (Sci. China Inf. Sci., 2025)

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. - Thanh Toan Nguyen; Nguyen Quoc Viet Hung; Thanh Tam Nguyen; Thanh Trung Huynh; Thanh Thi Nguyen 001; Matthias Weidlich 001; Hongzhi Yin (ACM Comput. Surv., 2025)

Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer. - Thanh Tam Nguyen; Thanh Toan Nguyen; Matthias Weidlich 001; Jun Jo 001; Quoc Viet Hung Nguyen; Hongzhi Yin; Alan Wee-Chung Liew (IEEE Trans. Knowl. Data Eng., 2025)

Model-Free Counterfactual Subset Selection at Scale. - Minh Hieu Nguyen; Viet Hung Doan; Anh Tuan Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (CoRR, 2025)

Certified Unlearning for Federated Recommendation. - Thanh Trung Huynh; Trong Bang Nguyen; Thanh Toan Nguyen; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen; Thanh Tam Nguyen (ACM Trans. Inf. Syst., 2025)

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Quoc Viet Hung Nguyen; Guanhua Ye; Hongzhi Yin (ACM Trans. Inf. Syst., 2025)

Multi-agents based User Values Mining for Recommendation. - Lijian Chen; Wei Yuan 003; Tong Chen 005; Xiangyu Zhao 001; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 2025)

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation. - Qianru Zhang; Liang Qu; Honggang Wen; Dong Huang 005; Siu-Ming Yiu; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 2025)

Do as I Can, Not as I Get: Topology-Aware Multi-Hop Reasoning on Multi-Modal Knowledge Graphs. - Shangfei Zheng; Hongzhi Yin; Tong Chen 005; Quoc Viet Hung Nguyen; Wei Chen 070; Lei Zhao 001 (IEEE Trans. Knowl. Data Eng., 2025)

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. - Hung Vinh Tran; Tong Chen 005; Nguyen Quoc Viet Hung; Zi Huang; Lizhen Cui; Hongzhi Yin (ACM Trans. Inf. Syst., 2025)

The Emergence of Deep Reinforcement Learning for Path Planning. - Thanh Thi Nguyen 001; Saeid Nahavandi; Imran Razzak; Dung Nguyen 001; Nhat Truong Pham; Quoc Viet Hung Nguyen (CoRR, 2025)

Watermarking Large Language Model-based Time Series Forecasting. - Wei Yuan 003; Chaoqun Yang 002; Yu Xing; Tong Chen 005; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 2025)

Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion. - Shutong Qiao; Wei Yuan 003; Junliang Yu; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2025)

Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. - Yunke Qu; Liang Qu; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2025)