tamdblp - Publications

Books and Book Chapters

1. Thanh Tam Nguyen. Debunking Misinformation on the Web: Detection, Validation, and Visualisation. EPFL Infoscience, 2019

2. Chen, Tong, Yang Cao, Quoc Viet Hung Nguyen, and Thanh Tam Nguyen. Databases Theory and Applications: 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16–18, 2024, Proceedings. Springer, 2024

3. Ren, Zhao, Björn W. Schuller, Björn M. Eskofier, Thanh Tam Nguyen, and Wolfgang Nejdl. Guest editorial trustworthy and collaborative AI for personalised healthcare through edge-of-things. IEEE Journal of Biomedical and Health Informatics 27, no. 11 (2023): 5213-5215.

Journal articles (* means the corresponding author)

1. Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew. Handling Low Homophily in Recommender Systems with Partitioned Graph Transformer. In IEEE Transactions on Knowledge and Data Engineering (TKDE) 2025 (IF 9.235, Top 2%, CORE A*)

The first partitioned graph transformer model that mitigates low homophily in recommender systems, achieving up to a 14.2% improvement in recommendation accuracy by restructuring user-item graphs into higher-homophily subgraphs.

2. Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen. A Survey of Machine Unlearning. In ACM Transactions on Intelligent Systems and Technology (TIST) 2025. (IF 10.489, Top 7%, 300+ citations, 800+ GitHub stars, 40K GitHub accesses)

Our work has been cited in the International AI Safety Report 2025 (written by top 100 AI experts) in which machine unlearning is a pioneering paradigm to remove sensitive information or harmful data from trained AI models.

3. 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. In ACM Computing Surveys (CSUR) 2024 (IF 16.6, Top 2%, CORE A*) (1300+ paid accesses on ACM)

4. Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi, Quoc Viet Hung Nguyen. Privacy-preserving explainable AI: a survey. In SCIENCE CHINA Information Sciences (SCIS) 2024 (IF 7.3, Q1, Top 6%) (1000+ paid accesses on Springer)

5. Thanh Tam Nguyen, Zhao Ren, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin. Portable graph-based rumour detection against multi-modal heterophily. In Knowledge-based Systems (KBS) 2024 (IF 8.8, Q1)

6. Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller. A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. In IEEE Computational Intelligence Magazine (IEEE-CIM) 2024 (IF 10.3, Q1, Top 6%)

7. 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. In Information Sciences 2024 (IF 8.233, Q1, CORE A, Top 7%)

8. Thanh Trung Huynh, Trong Bang Nguyen, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen*. Certified Unlearning for Federated Recommendation. In ACM Transactions on Information Systems (TOIS) 2024 (IF 5.6, Q1, CORE A)

9. Minh Tam Pham, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Thanh Thi Nguyen, Jun Jo, Hongzhi Yin, Quoc Viet Hung Nguyen. A dual benchmarking study of facial forgery and facial forensics. In CAAI Transactions on Intelligence Technology (TRIT) 2024 (IF 8.4, Q1, Top 10%)

10. Minh Hieu Nguyen, Thanh Trung Huynh, Thanh Toan Nguyen, Phi Le Nguyen, Hien Pham, Jun Jo, Thanh Tam Nguyen*. On-Device Diagnostic Recommendation with Heterogeneous Federated BlockNets. In SCIENCE CHINA Information Sciences (SCIS) 2024 (IF 7.3, Q1, Top 6%)

11. Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen. Example-based Explanations for Streaming Fraud Detection on Graphs. In Information Sciences 2023 (IF 8.233, Q1, CORE A, Top 7%)

12. Thanh Tam Nguyen, Thanh Trung Huynh, Minh Tam Pham, Thanh Thi Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen. Validating Functional Redundancy with Mixed Generative Adversarial Networks. In Knowledge-based Systems (KBS) 2023 (IF 8.8)

13. Zhao Ren, Björn W. Schuller, Björn M. Eskofier, Thanh Tam Nguyen, Wolfgang Nejdl. Trustworthy and Collaborative AI for Personalised Healthcare through Edge-of-Things. In Journal of Biomedical and Health Informatics (JBHI) 2023 (IF 7.7, CORE A*, Top 10%)

14. Huynh, Thanh Trung, Chi Thang Duong, Tam Thanh Nguyen*, Vinh Van Tong, Abdul Sattar, Hongzhi Yin, and Quoc Viet Hung Nguyen. Network alignment with holistic embeddings. In IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022 (IF 9.235, Top 2%, CORE A*)

15. Huynh Thanh Trung, Tong Vinh Van, Nguyen Thanh Tam*, Jo Jun, Yin Hongzhi, Nguyen Quoc Viet Hung. Learning Holistic Interactions in LBSNs with High-order, Dynamic, and Multi-role Contexts. In IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022 (IF 9.235, Top 2%, CORE A*)

16. Thanh Toan Nguyen, Nguyen Thanh Tam*, Hongzhi Yin, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen. Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining. In ACM Transactions on Intelligent Systems and Technology (TIST) 2023. (IF 10.489, Top 4 ACM Transactions)

17. Darnbi Sakong, Thanh Trung Huynh, Nguyen Thanh Tam*, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen. Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment. In International Journal of Intelligent Systems (IJIS) 2023. (IF 7.0)

18. 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. In Knowledge-based Systems (KBS) 2022 (IF 8.8)

19. Thanh Tam Nguyen, Thanh Trunh Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Thai Son Mai, Quoc Viet Hung Nguyen. Detecting Rumours with Latency Guarantees using Massive Streaming Data. In International Journal on Very Large Data Bases (VLDBJ) 2022 (IF 4.243, CORE A*) (700+ paid accesses on Springer)

The first to design a best-effort rumour detection approach that combines efficient graph-based pattern matching with load shedding, achieving rapid detection with minimal accuracy loss.

20. Chi Thang Duong, Thanh Tam Nguyen*, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen. Deep MinCut: Learning Node Embeddings from Detecting Communities. In Pattern Recognition (PR) 2022 (IF 8.518, CORE A*, top 7%) (Equal contribution with the 1st author)

The first to develop an unsupervised approach that simultaneously learns node embeddings and community structures, achieving superior performance (up to 83.9%) in node classification tasks across multiple datasets.

21. Thanh Thi 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. In Computer Vision and Image Understanding (CVIU) 2022 (IF 4.886) (750+ citations, 800+ paid accesses on ScienceDirect, 9 news mentions)

22. Thanh Thi Nguyen, Mohamed Abdelrazek, Dung Tien Nguyen, Sunil Aryal, Duc Thanh Nguyen, Sandeep Reddy, Quoc Viet Hung Nguyen, Amin Khatami, Thanh Tam Nguyen et al. Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. In Machine Learning with Applications (MLWA) 2022.

23. Thanh Toan Nguyen, Khang Nguyen Duc 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. In ACM Transactions on Information Systems (TOIS) 2022 (IF 5.6, CORE A)

24. Phan, Thanh Cong, Nguyen Duc Khang Quach, Thanh Tam Nguyen*, Thanh Toan Nguyen, Jun Jo, and Quoc Viet Hung Nguyen. Real-time wildfire detection with semantic explanations. In Expert Systems with Applications (ESWA) 2022 (IF 8.665)

25. Thang, Duong Chi, Hoang Thanh Dat, Nguyen Thanh Tam*, Jun Jo, Nguyen Quoc Viet Hung, and Karl Aberer. Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks. In Pattern Recognition Letters (PRL) 2022 (IF 5.1)

26. Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Vinh Van Tong, Darnbi Sakong, Bolong Zheng and Quoc Viet Hung Nguyen. Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks. In IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021 (IF 9.235, Top 2%, CORE A*) (80+ citations, 1500+ paid downloads on IEEEXplore)

The first to advance graph representation learning in knowledge graph alignment, achieving up to 7.8% higher alignment accuracy than previous methods and influencing research areas such as graph-based learning, multilingual knowledge integration, and AI-driven data fusion.

27. Chi Thang Duong, Thanh Tam Nguyen*, Hongzhi Yin, Matthias Weidlich, Thai Son Mai, Karl Aberer, Nguyen Quoc Viet Hung. Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding. In IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021 (IF 9.235, Top 2%, CORE A*) (500+ paid downloads on IEEEXplore)

The first information retrieval system to answer multi-modal queries with heterogeneous graph learning.

28. Nguyen Thanh Toan, Nguyen Thanh Tam*, Nguyen Thanh Thi, Bay Vo, Jun Jo, Nguyen Quoc Viet Hung. JUDO: Just-in-time rumour detection in streaming social platforms. In Information Sciences 2021. (IF 8.233)

29. Thanh Tam Nguyen, Thanh Dat Hoang, Minh Tam Pham, Vu Tuyet Trinh, Thanh-Hung Nguyen, Quyet-Thang Huynh, Jun Jo. Monitoring agriculture areas with satellite images and deep learning. In Applied Soft Computing 2020. (IF 8.7)

30. Thanh Toan Nguyen, Minh Tam Pham, Thanh Tam Nguyen*, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thanh Tho Quan. Structural representation learning for network alignment with self-supervised anchor links. In Expert Systems with Applications (ESWA) 2020 (IF 8.665)

31. Nguyen Quoc Viet Hung, Matthias Weidlich, Nguyen Thanh Tam*, Zoltan Miklos, Karl Aberer, Avigdor Gal, Bela Stantic. Handling Probabilistic Integrity Constraints in Pay-as-you-go Reconciliation of Data Models. In Information Systems 2019. (IF 3.7, CORE A*)

32. Phan Thanh Cong, Nguyen Thanh Tam*, Hongzhi Yin, Bolong Zheng, Nguyen Quoc Viet Hung, Bela Stantic. Efficient User Guidance for Validating Participatory Sensing Data. In ACM Transactions on Intelligent Systems and Technology (TIST) 2019. (IF 10.489)

33. Thanh Tam Nguyen, Thanh Cong Phan, Nguyen Quoc Viet Hung, Karl Aberer, Bela Stantic. Maximal Fusion of Facts on the Web with Credibility Guarantee. In Information Fusion 2019. (IF 18.6, Top 3%) (40+citations)

The first data fusion framework that integrates web-sourced information while ensuring credibility, achieving up to 90% accuracy in credibility assessment and reducing misinformation propagation by over 40% in benchmark datasets, making it a valuable tool for media, governments, and academia in misinformation debunking.

34. Nguyen Quoc Viet Hung, Huynh Huu Viet, Nguyen Thanh Tam*, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou. Computing Crowd Consensus with Partial Agreement. In IEEE Transactions on Knowledge and Data Engineering (TKDE) 2018 (IF 9.235, Top 2%, CORE A*)

35. Nguyen Thanh Toan, Phan Thanh Cong, Nguyen Thanh Tam*, Nguyen Quoc Viet Hung, Bela Stantic. Diversifying Group Recommendation. In IEEE Access 2018 (IF 3.9)

36. Nguyen Quoc Viet Hung, Duong Chi Thang, Nguyen Thanh Tam*, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou. Argument Discovery via Crowdsourcing. In International Journal on Very Large Data Bases (VLDBJ) 2017 (IF 4.243, CORE A*)

37. Nguyen Quoc Viet Hung, Duong Chi Thang, Nguyen Thanh Tam*, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou. Answer Validation for Generic Crowdsourcing Tasks with Minimal Efforts. In International Journal on Very Large Data Bases (VLDBJ) 2017 (IF 4.243, CORE A*)

38. Nguyen Quoc Viet Hung, Nguyen Thanh Tam*, Zoltan Miklos, Karl Aberer. Reconciling Schema Matching Networks Through Crowdsourcing In Trans. Collaborative Computing 2014.

Conference papers (* means the corresponding author)

1. Huu Tien Nguyen, Dac Thai Nguyen, Duc Nguyen The Minh, Trung Thanh Nguyen, Thao Nguyen Truong, Hieu Pham, Johan Barthelemy, Tran Minh Quan, Quoc Viet Hung Nguyen, Thanh Tam Nguyen*. Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation. In International Conference on Neural Information Processing Systems (NeurIPS) 2025. (CORE A*)

2. Dung Nguyen, Minh Khoi Ho, Huy Ta, Thanh Tam Nguyen*. Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. In International Joint Conference on Artificial Intelligence (IJCAI) 2025. (CORE A*)

3. Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen*, Kun Qian, Tanja Schultz, Bjorn W. Schuller. Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation. In International Conference of the International Speech Communication Association (INTERSPEECH) 2025. (CORE A)

4. 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. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024. (CORE A)

5. Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen. PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System. In International Conference on Advanced Data Mining and Applications (ADMA) 2024.

6. Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Thai Son Mai, Karl Aberer, Quoc Viet Hung Nguyen. Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding. In IEEE International Conference on Data Engineering (ICDE) 2023. (CORE A*)

The first to develop an information retrieval system designed to answer multi-modal queries by relying on heterogeneous graph representation learning.

7. 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. In ACM International Conference on Web Search and Data Mining (WSDM) 2023. (CORE A*)

8. Zhao Ren, Thanh Tam Nguyen*, Mehdi Mohammad Zahed, Wolfgang Nejdl. Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-Free Interpretability. In IEEE International Joint Conference on Neural Networks (IJCNN) 2023.

9. 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. In IEEE International Joint Conference on Neural Networks (IJCNN) 2023.

10. Zhao Ren, Thanh Tam Nguyen*, Yi Chang, Björn W. Schuller. Fast Yet Effective Speech Emotion Recognition with Self-Distillation. In International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2023.

11. Yi Chang, Zhao Ren, Thanh Tam Nguyen*, Kun Qian, Björn W. Schuller. Knowledge Transfer for On-Device Speech Emotion Recognition with Neural Structured Learning. In International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2023.

12. Yi Chang, Zhao Ren, Thanh Tam Nguyen*, Wolfgang Nejdl, Bjorn W. Schuller. Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis. In Conference of the International Speech Communication Association (INTERSPEECH) 2022. (CORE A)

13. Thanh Cong Phan, Thanh Tam Nguyen*, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen. exRumourLens: Auditable Rumour Detection with Multi-View Explanations. In IEEE International Conference on Data Engineering (ICDE) 2022. (CORE A*)

14. Huynh, Thanh Trung, Chi Thang Duong, Tam Thanh Nguyen*, Vinh Van Tong, Abdul Sattar, Hongzhi Yin, and Quoc Viet Hung Nguyen. Network alignment with holistic embeddings. In IEEE International Conference on Data Engineering (ICDE) 2022. (CORE A*)

15. Zhao Ren, Thanh Tam Nguyen*, Wolfgang Nejdl. Prototype Learning for Interpretable Respiratory Sound Analysis. In International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2022

16. Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh, Tam Thanh Nguyen, Quoc Viet Hung Nguyen, Mathias Niepert. Joint Multilingual Knowledge Graph Completion and Alignment. In The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (CORE A*)

17. Bo Zhao, Han van der Aa, Nguyen Thanh Tam, Nguyen Quoc Viet Hung and Matthias Weidlich. EIRES: Efficient Integration of Remote Data in Event Stream Processing. In ACM International Conference on Management of Data (SIGMOD) 2021. (CORE A*)

18. Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Vinh Van Tong, Darnbi Sakong, Bolong Zheng and Quoc Viet Hung Nguyen. Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks. In IEEE International Conference on Data Engineering (ICDE) 2021. (CORE A*)

19. Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen and Quoc Viet Hung Nguyen. FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. In ACM International Conference on Research and Development in Information Retrieval (SIGIR) 2020. (CORE A*) (40+ citations, 200+ paid accesses on ACM)

The first to propose an evidence verification framework that reduces user effort by 30-50% compared to traditional manual validation, while improving verification accuracy by up to 25% through incremental quality estimation, mistake mitigation, and pay-as-you-go validation, enabling a more scalable and cost-effective approach to maintaining credible knowledge bases.

20. Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen*, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen. Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. In IEEE International Conference on Data Engineering (ICDE) 2020. (CORE A*)

21. Nguyen Thanh Tam, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Nguyen Quoc Viet Hung, Bela Stantic. From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms. In International Conference on Very Large Data Bases (VLDB) 2019. (CORE A*) (90+ citations, 500+ paid accesses on ACM)

The first to propose a real-time rumour detection framework using anomaly detection in social media streams, achieving 95% precision and 92% recall in identifying misinformation while processing 100K+ posts per second with sub-second latency; influencing research in trust management, data mining, and social media analytics.

22. Nguyen Thanh Tam, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Nguyen Quoc Viet Hung, Bela Stantic. User Guidance for Efficient Fact Checking. In International Conference on Very Large Data Bases (VLDB) 2019. (CORE A*) (50+ citations, 200+ paid accesses on ACM)

The first to propose a human-in-the-loop fact checking framework that achieved over 50% reduction in validation effort to attain a precision exceeding 90% in knowledge base construction.

23. Nguyen Quoc Viet Hung, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Nguyen Thanh Tam*, Bela Stantic. What-if Analysis with Conflicting Goals: Recommending Data Ranges for Exploration. In IEEE International Conference on Data Engineering (ICDE) 2018. (CORE A*)

24. Nguyen Quoc Viet Hung, Huynh Huu Viet, Nguyen Thanh Tam*, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou. Computing Crowd Consensus with Partial Agreement. In IEEE International Conference on Data Engineering (ICDE) 2018. (CORE A*)

25. Nguyen Thanh Tam, Duong Chi Thang, Matthias Weidlich, Hongzhi Yin, Nguyen Quoc Viet Hung. Retaining data from streams of social platforms with minimal regret. In International Joint Conference on Artificial Intelligence (IJCAI) 2017. (CORE A*)

26. Nguyen Quoc Viet Hung, Nguyen Thanh Tam*, Chau Vinh Tuan, Tri Kurniawan Wijaya, Zoltan Miklos, Karl Aberer, Avigdor Gal and Matthias Weidlich. SMART: A tool for analyzing and reconciling schema matching networks. In IEEE International Conference on Data Engineering (ICDE) 2015. (CORE A*)

27. Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Matthias Weidlich and Karl Aberer. Result Selection and Summarization for Web Table Search. In IEEE International Conference on Data Engineering (ICDE) 2015. (CORE A*)

28. Duong Chi Thang, Nguyen Thanh Tam*, Nguyen Quoc Viet Hung and Karl Aberer. An Evaluation of Diversification Techniques. In International Conference on Database and Expert Systems Applications (DEXA) 2015.

29. Nguyen Quoc Viet Hung, Do Son Thanh, Nguyen Thanh Tam*, Karl Aberer. Tag-based Paper Retrieval: Minimizing User Effort with Diversity Awareness. In International Conference on Database Systems for Advanced Applications (DASFAA) 2015.

30. Nguyen Quoc Viet Hung, Do Son Thanh, Nguyen Thanh Tam*, Karl Aberer. Privacy-Preserving Schema Reuse. In International Conference on Database Systems for Advanced Applications (DASFAA) 2014.

31. Nguyen Quoc Viet Hung, Nguyen Thanh Tam*, Zoltan Miklos, Karl Aberer, Avigdor Gal and Matthias Weidlich. Pay-as-you-go Reconciliation in Schema Matching Networks. In IEEE International Conference on Data Engineering (ICDE) 2014. (CORE A*)

32. Nguyen Quoc Viet Hung, Nguyen Thanh Tam*, Lam Ngoc Tran, Karl Aberer. An Evaluation of Aggregation Techniques in Crowdsourcing. In International Conference on Web Information Systems Engineering (WISE) 2013. (250+ citations, 3300+ paid accesses on Springer)

33. Nguyen Quoc Viet Hung, Nguyen Thanh Tam*, Lam Ngoc Tran, Karl Aberer. A Benchmark for Aggregation Techniques in Crowdsourcing. In ACM International Conference on Research and Development in Information Retrieval (SIGIR) 2013. (CORE A*)

34. Nguyen Quoc Viet Hung, Nguyen Thanh Tam*, Zoltan Miklos, Karl Aberer. On Leveraging Crowdsourcing Techniques for Schema Matching Networks. In International Conference on Database Systems for Advanced Applications (DASFAA) 2013. (Best Student Paper Award)

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