Publications - Author: Hongzhi Yin

2023
[20]	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, and Quoc Viet Hung Nguyen), In 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023, IEEE, 2023. [bibtex] [pdf] [doi]
[19]	Scalable maximal subgraph mining with backbone-preserving graph convolutions (Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, and Quoc Viet Hung Nguyen), In Inf. Sci., volume 644, 2023. [bibtex] [pdf] [doi]
[18]	Deep MinCut: Learning Node Embeddings by Detecting Communities (Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, and Quoc Viet Hung Nguyen), In Pattern Recognit., volume 134, 2023. [bibtex] [pdf] [doi]
[17]	Detecting rumours with latency guarantees using massive streaming data (Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, and Quoc Viet Hung Nguyen), In VLDB J., volume 32, 2023. [bibtex] [pdf] [doi]
2022
[16]	exRumourLens: Auditable Rumour Detection with Multi-View Explanations (Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, and Quoc Viet Hung Nguyen), In 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022, IEEE, 2022. [bibtex] [pdf] [doi]
[15]	Model-agnostic and diverse explanations for streaming rumour graphs (Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, and Quoc Viet Hung Nguyen), In Knowl. Based Syst., volume 253, 2022. [bibtex] [pdf] [doi]
[14]	Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding (Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, and Quoc Viet Hung Nguyen), In IEEE Trans. Knowl. Data Eng., volume 34, 2022. [bibtex] [pdf] [doi]
2021
[13]	Efficient Streaming Subgraph Isomorphism with Graph Neural Networks (Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, and Karl Aberer), In Proc. VLDB Endow., volume 14, 2021. [bibtex] [pdf] [doi]
[12]	Scalable Robust Graph Embedding with Spark (Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, and Karl Aberer), In Proc. VLDB Endow., volume 15, 2021. [bibtex] [pdf] [doi]
2020
[11]	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, and Karl Aberer), In 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, IEEE, 2020. [bibtex] [pdf] [doi]
[10]	Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks (Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, and Nguyen Quoc Viet Hung), In 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, IEEE, 2020. [bibtex] [pdf] [doi]
[9]	FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort (Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, and Quoc Viet Hung Nguyen), In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020 (Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu, eds.), ACM, 2020. [bibtex] [pdf] [doi]
2019
[8]	From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms (Thanh Tam Nguyen, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Quoc Viet Hung Nguyen, and Bela Stantic), In Proc. VLDB Endow., volume 12, 2019. [bibtex] [pdf] [doi]
[7]	User Guidance for Efficient Fact Checking (Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Bolong Zheng, Quoc Viet Hung Nguyen, and Bela Stantic), In Proc. VLDB Endow., volume 12, 2019. [bibtex] [pdf] [doi]
2018
[6]	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, and Bela Stantic), In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, IEEE Computer Society, 2018. [bibtex] [pdf] [doi]
[5]	Computing Crowd Consensus with Partial Agreement (Quoc Viet Hung Nguyen, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, and Xiaofang Zhou), In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, IEEE Computer Society, 2018. [bibtex] [pdf] [doi]
[4]	Computing Crowd Consensus with Partial Agreement (Nguyen Quoc Viet Hung, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, and Xiaofang Zhou), In IEEE Trans. Knowl. Data Eng., volume 30, 2018. [bibtex] [pdf] [doi]
2017
[3]	Retaining Data from Streams of Social Platforms with Minimal Regret (Thanh Tam Nguyen, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, and Nguyen Quoc Viet Hung), In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 (Carles Sierra, ed.), ijcai.org, 2017. [bibtex] [pdf] [doi]
[2]	Argument discovery via crowdsourcing (Nguyen Quoc Viet Hung, Chi Thang Duong, Thanh Tam Nguyen, Matthias Weidlich, Karl Aberer, Hongzhi Yin, and Xiaofang Zhou), In VLDB J., volume 26, 2017. [bibtex] [pdf] [doi]
[1]	Answer validation for generic crowdsourcing tasks with minimal efforts (Nguyen Quoc Viet Hung, Duong Chi Thang, Thanh Tam Nguyen, Matthias Weidlich, Karl Aberer, Hongzhi Yin, and Xiaofang Zhou), In VLDB J., volume 26, 2017. [bibtex] [pdf] [doi]