Huey-Eng Chua
According to our database1,
Huey-Eng Chua
authored at least 27 papers
between 2011 and 2022.
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Bibliography
2022
MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education.
Proc. VLDB Endow., 2022
PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks.
Proc. VLDB Endow., 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
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 2020 International Conference on Management of Data, 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
2018
TROVE: a user-friendly tool for visualizing and analyzing cancer hallmarks in signaling networks.
Bioinform., 2018
BOOMER: Blending Visual Formulation and Processing of P -Homomorphic Queries on Large Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018
2017
VISUAL: Simulation of Visual Subgraph Query Formulation to Enable Automated Performance Benchmarking.
IEEE Trans. Knowl. Data Eng., 2017
TINTIN: Exploiting Target Features for Signaling Network Similarity Computation and Ranking.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
TENET: A Machine Learning-Based System for Target Characterization in Signaling Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Predictive Modeling of Drug Effects on Signaling Pathways in Diverse Cancer Cell Lines.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
TAPESTRY: Network-centric Target Prioritization in Disease-related Signaling Networks.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
Trecento: in silico network-driven identification of target combinations for combination therapy
PhD thesis, 2015
Computational cell fate modelling for discovery of rewiring in apoptotic network for enhanced cancer drug sensitivity.
BMC Syst. Biol., 2015
Bioinform., 2015
ViSual: An HCI-inspired simulator for blending visual subgraph query construction and processing.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
2014
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014
One feature doesn't fit all: characterizing topological features of targets in signaling networks.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2012
In silico identification of endo16 regulators in the sea urchin endomesoderm gene regulatory network.
Proceedings of the ACM International Health Informatics Symposium, 2012
PANI: an interactive data-driven tool for target prioritization in signaling networks.
Proceedings of the ACM International Health Informatics Symposium, 2012
STEROID: in silico heuristic target combination identification for disease-related signaling networks.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Pani: a novel algorithm for fast discovery of putative target nodes in signaling networks.
Proceedings of the ACM International Conference on Bioinformatics, 2011