Kai Huang

Orcid: 0000-0002-3385-6417

Affiliations:
  • Macau University of Science and Technology, Macau, SAR, China


According to our database1, Kai Huang authored at least 31 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
I/O-Efficient Multi-Criteria Shortest Paths Query Processing on Large Graphs.
IEEE Trans. Knowl. Data Eng., November, 2024

LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols.
IEEE Trans. Knowl. Data Eng., July, 2024

TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
IEEE Trans. Knowl. Data Eng., May, 2024

PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FRESH: Towards Efficient Graph Queries in an Outsourced Graph.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Efficient Approximate Maximum Inner Product Search Over Sparse Vectors.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams.
Proc. ACM Manag. Data, December, 2023

A Learned Index for Exact Similarity Search in Metric Spaces.
IEEE Trans. Knowl. Data Eng., August, 2023

Synthesizing Realistic Trajectory Data With Differential Privacy.
IEEE Trans. Intell. Transp. Syst., May, 2023

Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2023

PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2023

Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces.
Proc. VLDB Endow., 2023

VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines.
Proc. VLDB Endow., 2023

TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
Proc. ACM Manag. Data, 2023

Stateful Switch: Optimized Time Series Release with Local Differential Privacy.
Proceedings of the IEEE INFOCOM 2023, 2023

Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Privacy and efficiency guaranteed social subgraph matching.
VLDB J., 2022

VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases.
Proc. VLDB Endow., 2022

Workload-Aware Shortest Path Distance Querying in Road Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation.
Proceedings of the 2019 International Conference on Management of Data, 2019

2017
PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases.
Proc. VLDB Endow., 2017

Selecting high-quality negative samples for effectively predicting protein-RNA interactions.
BMC Syst. Biol., 2017

Gaussian Weighting Reversion Strategy for Accurate On-Line Portfolio Selection.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015
Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media.
Proceedings of the Smart Health - International Conference, 2015

Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models.
Proceedings of the Database Systems for Advanced Applications, 2015

2013
Classification of neonatal amplitude-integrated EEG using random forest model with combined feature.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Domain adaptation to automatic classification of neonatal amplitude-integrated EEG.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012


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