Hanchen Wang
Orcid: 0000-0003-3158-9586Affiliations:
- University of Technology Sydney, Faculty of Engineering and Information Technology, School of Computer Science, NSW, Australia
- Zhejiang Gongshang University, China
- University of New South Wales, Sydney, NSW, Australia (2021 - 2022)
- University of Technology Sydney, NSW, Australia (PhD 2021)
According to our database1,
Hanchen Wang
authored at least 23 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions.
IEEE Trans. Knowl. Data Eng., March, 2024
Inf. Process. Manag., March, 2024
IEEE Trans. Knowl. Data Eng., January, 2024
CoRR, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
World Wide Web (WWW), November, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
World Wide Web, 2022
World Wide Web, 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search.
VLDB J., 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space.
Proceedings of the Database Systems for Advanced Applications, 2020
2019
I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019