Chenghao Cai

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
A Service-oriented Scheduling Combination Strategy on Cloud Platforms Based on A Dual-Layer QoS Evaluation Model.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Code Generation Using Self-Interactive Assistant.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Automatic refactoring of conditions and substitutions for B state transition models.
Softw. Pract. Exp., November, 2023

A lattice-transformer-graph deep learning model for Chinese named entity recognition.
J. Intell. Syst., 2023

2022
B model quality assessments on automated reachability repair with ISO/IEC 25010.
Sci. Comput. Program., 2022

Fast Automated Abstract Machine Repair Using Simultaneous Modifications and Refactoring.
Formal Aspects Comput., 2022

Repairing Numerical Equations in Analogically Blended Theories Using Reformation.
Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

2021
Silas: A high-performance machine learning foundation for logical reasoning and verification.
Expert Syst. Appl., 2021

Explaining the Attention Mechanism of End-to-End Speech Recognition Using Decision Trees.
CoRR, 2021

An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures.
CoRR, 2021

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
N-PAT: A Nested Model-Checker.
CoRR, 2020

Measuring the Quality of B Abstract Machines with ISO/IEC 25010.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2020

N-PAT: A Nested Model-Checker - (System Description).
Proceedings of the Automated Reasoning - 10th International Joint Conference, 2020

2019
Automatic B-model repair using model checking and machine learning.
Autom. Softw. Eng., 2019

Trainable back-propagated functional transfer matrices.
Appl. Intell., 2019

Design Model Repair with Formal Verification.
Proceedings of the Formal Methods and Software Engineering, 2019

Achieving Abstract Machine Reachability with Learning-Based Model Fulfilment.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018
Audio-only Bird Species Automated Identification Method with Limited Training Data Based on Multi-Channel Deep Convolutional Neural Networks.
CoRR, 2018

B-Repair: Repairing B-Models Using Machine Learning.
Proceedings of the 23rd International Conference on Engineering of Complex Computer Systems, 2018

2017
Learning of Human-like Algebraic Reasoning Using Deep Feedforward Neural Networks.
CoRR, 2017

SLDR-DL: A Framework for SLD-Resolution with Deep Learning.
CoRR, 2017

Symbolic manipulation based on deep neural networks and its application to axiom discovery.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015
A Fast Learning Method for Multilayer Perceptrons in Automatic Speech Recognition Systems.
J. Robotics, 2015

Deep Neural Networks with Multistate Activation Functions.
Comput. Intell. Neurosci., 2015

A Combination of Multi-state Activation Functions, Mean-normalisation and Singular Value Decomposition for learning Deep Neural Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Fast Learning of Deep Neural Networks via Singular Value Decomposition.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014


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