Nguyen Quoc Viet Hung (Henry Nguyen)

Dr. Quoc Viet Hung (Henry) Nguyen is an Associate Professor, an ARC DECRA Fellow (Australia Discovery Early Career Researcher Award) in Griffith University. He earned his Master and PhD degrees from EPFL (Switzerland) in 2010 and 2014 respectively. His research focuses on Data Integration, Data Quality, Recommender Systems, and Big Data Visualization, with special emphasis on web data, social data, IoT data and satellite data. He is also interested in Linked Open Data and Event-based Systems. He has published 180+ papers (100+ A* ranking) in top-tier conferences ( e.g. SIGMOD, VLDB, ICDE, KDD, SIGIR, WWW, AAAI, IJCAI, etc) and high impact journals (e.g. TPAMI, VLDBJ, TKDE, Information Sytems, TOIS, etc) with an h-index of 48 and 9000+ citations. He has served as senior PC for several A* conferences such as IJCAI, TheWebConf, CIKM, ICONIP, etc. 

He is the director of the IoT Cluster and the Big Data Visualisation Lab at Griffith University. Since 2018, he has been awarded just over $2.6M in funding from government agencies (the ARC, Department of Foreign Affairs and Trade, Gold Coast Education and training), industrial partners (UBITECH, North Coast Primary Healthcare Network, the Association of Marine Parks), and international partners (SOLETOP South Korean, Korean Aerospace, Vietnamese Foundation for Science and Technology Development).

Selected Publications

2023

125. Jie Liu, Mengting He, Guangtao Wang, Quoc Viet Hung Nguyen, Xuequn Shang, Hongzhi Yin. Imbalanced Node Classification Beyond Homophilic Assumption. In IJCAI 2023

124. Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin. Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. In SIGIR 2023

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

122. 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. In SIGIR 2023

121. 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 WSDM 2023

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

119. 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. In Information Sciences 2023

118. Thanh Tam Nguyen, Thanh Trung Huynh, Minh Tam Pham, Thanh Dat Hoang, Thanh Thi Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen. Validating Functional Redundancy with Mixed Generative Adversarial Networks. In KBS 2023

117. Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He and Hongzhi Yin. Interaction-level Membership Inference Attack Against Federated Recommender Systems. In WWW 2023.

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

115. Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin. Efficient On-Device Session-Based Recommendation. In TOIS 2023.

2022

114. Thai Son Mai, Thu Ha Phi, Abdullahi Abubakar, Peter Kilpatrick, Quoc Viet Hung Nguyen, Hans Vandierendonck. Dengue fever: from extreme climates to outbreak prediction. In ICDM 2022

113. 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 KBS 2022

112. 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 2022

111. 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 CVIU 2022

110. 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 MLWA 2022.

109. 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 ICDE 2022

108. 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 ESWA 2022

107. 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 2022

106. 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 TKDE 2022

105. 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 TOIS 2022

104. 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 VLDBJ 2022

103. 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 ICDE 2022

102. 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 TKDE 2022

101. Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui and Quoc Viet Hung Nguyen. Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation. In SIGIR 2022. 

100. Tong Chen, Hongzhi Yin, Jing Long, Nguyen Quoc Viet Hung, Yang Wang and Meng Wang. Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. In SIGIR 2022.

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

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

97. 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. In JBHI 2022.

96. Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen and Karl Aberer. Scalable Robust Graph Embedding with Spark. In VLDB 2022. 

2021

95. Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen and Karl Aberer. Efficient Streaming Subgraph Isomorphism with Graph Neural Networks. In VLDB 2021. 

94. 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 SIGMOD 2021. 

93. Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Quoc Viet Hung Nguyen. Socially-Aware Self-Supervised Tri-Training for Recommendation. In KDD 2021. 

92. Li Tang, Lei Guo, Tong Chen, Lei Zhu, Nguyen Quoc Viet Hung and Hongzhi Yin. DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. In IJCAI 2021. 

91. Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao and Nguyen Quoc Viet Hung. Heterogeneous Hypergraph Embedding for Graph Classification. In WSDM 2021. 

90. Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung and Xiangliang Zhang. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. In TheWebConf 2021. 

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

88. Son Mai, Jon Jacobsen, Sihem Amer-Yahia, Ivor Spence, Phuong Tran, Ira Assent, Quoc Viet Hung Nguyen. Incremental Density-based Clustering on Multicore Processors. In TPAMI 2021. 

87. 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 TKDE 2021. 

86. 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 TKDE 2021. 

85. Thanh Thi Nguyen, Pubudu N. Pathirana, Thin Nguyen, Quoc Viet Hung Nguyen, Asim Bhatti, Dinh C. Nguyen, Dung Tien Nguyen, Ngoc Duy Nguyen, Douglas Creighton, and Mohamed Abdelrazek. Genomic Mutations and Changes in Protein Secondary Structure and Solvent Accessibility of SARS-CoV-2 (COVID-19 Virus). In Scientific Report 2021. 

84. 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. 

2020

83. 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 SIGIR 2020. 

82. Shijie Zhang, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang and Lizhen Cui. GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Identification. In SIGIR 2020. 

81. 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 ICDE 2020. 

80. Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minh Hung Nguyen, Quoc Viet Hung Nguyen, Matthias Weidlich, Karl Aberer. Graph Embeddings for One-pass Processing of Heterogeneous Queries. In ICDE 2020. 

79. Bo Zhao Quoc Viet Hung Nguyen, Matthias Weidlich. Load Shedding for Complex Event Processing: Input-based and State-based Techniques. In ICDE 2020. 

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

77. Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen. PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search. In VLDB 2020. 

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

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

74. Bolong Zheng, Chenze Huang, Christian Jensen, Lu Chen, Quoc Viet Hung Nguyen, Guohui Li, Kai Zheng. Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. In ICDE 2020. 

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

72. Huynh Thanh Trung, Nguyen Thanh Toan, Tong Van Vinh, Hoang Thanh Dat, Duong Chi Thang, Nguyen Quoc Viet Hung, Abdul Sattar. A comparative study on network alignment techniques. In ESWA 2020.  (IF: 4.3)

71. Guohui Li, Qi Chen, Bolong Zheng, Nguyen Quoc Viet Hung, Pan Zhou, Guanfeng Liu. Time-Aspect-Sentiment Recommendation Models Based on Novel Similarity Measure Methods. In TWeb 2020. 

70. Quang-Thinh Bui, Bay Vo, Hoang-Anh Nguyen Do, Nguyen Quoc Viet Hung, Vaclav Snase.  F-Mapper: A Fuzzy Mapper clustering algorithm. In KBS  2020. 

69. Zhong Yang, Bolong Zheng, Guohui Li, Nguyen Quoc Viet Hung, Guanfeng Liu, Kai Zheng. Searching Activity Trajectories by Exemplar. In Trans. Data Science 2020. 

68. Guohui Li, Bolong Zheng, Hongzhi Yin, Nguyen Quoc Viet Hung, Xiaofang Zhou. Group-based Recurrent Neural Networks for POI Recommendation. In Trans. Data Science 2020. 

67. 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 ESWA 2020. 

66. Guohui Li, Ming Dong, Fuming Yang, Jun Zeng, Jiansen Yuan, Congyuan Jin, Nguyen Quoc Viet Hung, Phan Thanh Cong, Bolong Zheng. Misinformation-oriented expert finding in social networks. In WWW Journal 2020. 

65. Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang. CRSAL: Conversational Recommender Systems with Adversarial Learning. In TOIS 2020. 

64. Bolong Zheng, Kai Zheng, Christian S. Jensen, Nguyen Quoc Viet Hung, Han Su, Guohui Li, Xiaofang Zhou. Answering Why-Not Group Spatial Keyword Queries. In TKDE 2020. (IF: 3.9)

2019

63. Nguyen Quoc Viet Hung, Bela Stantic. Rumour Detection in Social Media. In Adrian Wilkinson, Big Data Analytics in Practise, Edward Elgar Publishing, 2019. 

62. 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 VLDB 2019. 

61. Nguyen Thanh Tam, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Nguyen Quoc Viet Hung, Bela Stantic. User Guidance for Efficient Fact Checking. In VLDB 2019. 

60. Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou and Nguyen Quoc Viet Hung. Streaming Session-based Recommendation. In KDD 2019. 

59. Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang and Lizhen Cui. Enhancing Collaborative Filtering with Generative Augmentation. In KDD 2019. 

58. Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, Nguyen Quoc Viet Hung. Online User Representation Learning Across Heterogeneous Social Networks. In SIGIR 2019. 

57. Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Nguyen Quoc Viet Hung. Inferring Substitutable Products with Deep Network Embedding. In IJCAI 2019. 

56. Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Nguyen Quoc Viet Hung, Xue Li. AIR: Attentional Intention-Aware Recommender Systems. In ICDE 2019. 

55. Bolong Zheng, Christian Jensen, Nguyen Quoc Viet Hung, Han Su, Guohui Li, Xiaofang Zhou. Answering Why-Not Group Spatial Keyword Queries. In ICDE 2019. 

54. Hongxu Chen, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Wen-Chih Peng, Xue Li. Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. In ICDE 2019. 

53. Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, Guohui Li. Multiple Rumor Source Detection with Graph Convolutional Networks. In CIKM 2019. 

52. Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Nguyen Quoc Viet Hung. Multi-Hop Path Queries over Knowledge Graphs with Neural Memory Networks. In DASFAA 2019. 

51. Thanh Trung Huynh, Van Vinh Tong, Chi Thang Duong, Thang Huynh Quyet, Quoc Viet Hung Nguyen, Abdul Sattar. Network Alignment by Representation Learning on Structure and Attribute. In PRICAI 2019. 

50. 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: 2.1, ERA: A*)

49. 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 TIST 2019.(5-year IF: 10.4) 

48. 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 Journal, 2019. (IF: 10.7)

47. Tieyun Qian, Bei Liu, Nguyen Quoc Viet Hung, Hongzhi Yin. Spatiotemporal Representation Learning for Translation-based POI Recommendation. In TOIS, 2019. (IF: 2.3)

46. Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Anh Vu Luong, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Bela Stantic. Multi-label classification via label correlation and first order feature dependance in a data stream. In Pattern Recognition, 2019. (IF: 5.9, ERA: A*)

2018

45. 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 ICDE 2018. 

44. Nguyen Quoc Viet Hung, Huynh Huu Viet, Nguyen Thanh Tam, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou. Computing Crowd Consensus with Partial Agreement. In ICDE 2018.

43. Hongzhi Yin, Nguyen Quoc Viet Hung, Zi Huang, Xiaofang Zhou. Joint Event-Partner Recommendation in Event-based Social Networks. In ICDE 2018.

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

41. Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Nguyen Quoc Viet Hung, Xue Li. PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. In KDD 2018.

40. Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Nguyen Quoc Viet Hung. Streaming Ranking Based Recommender Systems. In SIGIR 2018.

39. Douglas Alves Peixoto, Han Su, Nguyen Quoc Viet Hung, Bela Stantic, Bolong Zheng, Xiaofang Zhou. Concept for Evaluation of Techniques for Trajectory Distance Measures. In MDM 2018.

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

37. Weiqing Wang, Hongzhi Yin, Zi Huang, Xiaoshuai Sun, Nguyen Quoc Viet Hung. Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation. In DASFAA 2018.

36. Phan Thanh Cong, Nguyen Thanh Toan, Nguyen Quoc Viet Hung, Bela Stantic. Minimizing Efforts in Reconciling Participatory Sensing Data. In WIMS 2018.

35. Nguyen Thanh Toan, Phan Thanh Cong, Duong Chi Thang, Nguyen Quoc Viet Hung, Bela Stantic. Bootstrapping Uncertainty in Schema Covering. In ADC 2018.

34. Weiqing Wang, Hongzhi Yin, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou.TPM: A Temporal Personalized Model for Spatial Item Recommendation. In TIST 2018 (5-year IF: 10.4).

33. Nguyen Thanh Toan, Phan Thanh Cong, Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Bela Stantic. Diversifying Group Recommendation. In IEEE Access 2018. (IF: 4.1)

32. Douglas Alves Peixoto, Xiaofang Zhou, Nguyen Quoc Viet Hung, Bolong Zheng. A Framework for Parallel Map-Matching at Scale using Spark. In DAPD 2018

31. Hongzhi Yin, Weiqing Wang, Liang Chen, Xingzhong Du, Nguyen Quoc Viet Hung, Zi Huang. Mobi-SAGE-RS: A Sparse Additive Generative Model-based Mobile Application Recommender System. In KBS 2018. (IF: 5.1)

30. Bolong Zheng, Kai Zheng, Peter Scheuermann, Xiaofang Zhou, Nguyen Quoc Viet Hung, Chenliang Li. Searching Activity Trajectory with Keywords. In WWWJ 2018.

2017

29. Nguyen Quoc Viet Hung, Duong Chi Thang, Nguyen Thanh Tam, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou. Argument Discovery via Crowdsourcing. In VLDB 2017

28. Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Nguyen Quoc Viet Hung. SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. In ICDM 2017.

27. 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 IJCAI 2017.

26. Duong Chi Thang, Nguyen Quoc Viet Hung, Sen Wang, Bela Stantic. Provenance-based Rumor Detection. In ADC 2017.

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

24. Xiaolong Deng, Yingtong Dou, Tiejun Lv, Quoc Viet Hung Nguyen. A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization. In IEEE Access 2017. (IF: 4.1)

23. Nguyen Quoc Viet Hung, Duong Chi Thang, Nguyen Thanh Tam, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou. Argument Discovery via Crowdsourcing. In VLDBJ 2017. (IF: 4.3)

22. 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 VLDBJ 2017. (IF: 4.3)

2016

21. Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Sadiq. Discovering Interpretable Geo-Social Communities for User Behavior Prediction. In ICDE 2016.

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

19. Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung. Adapting to User Interest Drift for POI Recommendation. In TKDE 2016. (IF: 3.9)

2015

18. Nguyen Quoc Viet Hung, Duong Chi Thang, Matthias Weidlich, Karl Aberer. Minimizing Efforts in Validating Crowd Answers. In SIGMOD 2015.

17. 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 ICDE 2015.

16. Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Matthias Weidlich and Karl Aberer. Result Selection and Summarization for Web Table Search. In ICDE 2015.

15. Nguyen Quoc Viet Hung, Duong Chi Thang, Matthias Weidlich and Karl Aberer. ERICA: Expert Guidance in Validating Crowd Answers. In SIGIR 2015.

14. Duong Chi Thang, Nguyen Thanh Tam, Nguyen Quoc Viet Hung and Karl Aberer. An Evaluation of Diversification Techniques. In DEXA 2015.

13. Nguyen Quoc Viet Hung, Do Son Thanh, Nguyen Thanh Tam, Karl Aberer. Tag-based Paper Retrieval: Minimizing User Effort with Diversity Awareness. In DASFAA 2015.

2014

12. Nguyen Quoc Viet Hung, Saket Sathe, Duong Chi Thang, Karl Aberer. Towards Enabling Probabilistic Databases for Participatory Sensing. In CollaborateCom 2014 (Best Runner Up Paper Award).

11. Nguyen Quoc Viet Hung, Do Son Thanh, Nguyen Thanh Tam, Karl Aberer. Privacy-Preserving Schema Reuse. In DASFAA 2014.

10. 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 ICDE 2014.

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

2013

8. Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Lam Ngoc Tran, Karl Aberer. An Evaluation of Aggregation Techniques in Crowdsourcing. In WISE 2013.

7. Nguyen Quoc Viet Hung, Xuan Hoai Luong, Zoltan Miklos, Tho Quan Thanh, Karl Aberer. Collaborative Schema Matching Reconciliation. In CoopIS 2013.

6. Avigdor Gal, Michael Katz, Tomer Sagi, Karl Aberer, Zoltan Miklos, Nguyen Quoc Viet Hung, Eliezer Levy, Victor Shafran. Completeness and Ambiguity of Schema Cover. In CoopIS 2013.

5. Nguyen Quoc Viet Hung, Tri Kurniawan Wijaya, Zoltan Miklos, Karl Aberer, Eliezer Levy, Victor Shafran, Avigdor Gal and Matthias Weidlich. Minimizing Human Effort in Reconciling Match Networks. In ER 2013.

4. Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Lam Ngoc Tran, Karl Aberer. A Benchmark for Aggregation Techniques in Crowdsourcing. In SIGIR 2013.

3. Nguyen Quoc Viet Hung, Xuan Hoai Luong, Zoltan Miklos, Tho Quan Thanh, Karl Aberer. An MAS Negotiation Support Tool for Schema Matching. In AAMAS 2013.

2. Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Zoltan Miklos, Karl Aberer. On Leveraging Crowdsourcing Techniques for Schema Matching Networks. In DASFAA 2013 (Best Student Paper Award)

1. Nguyen Quoc Viet Hung, Hoyoung Jeung, Karl Aberer. An Evaluation of Model-Based Approaches to Sensor Data Compression. In TKDE 2013. (IF: 3.9)