Chenghao Cai

According to our database, Chenghao Cai authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A lattice-transformer-graph deep learning model for Chinese named entity recognition.

Min Lin, Yanyan Xu, Chenghao Cai, Dengfeng Ke, Kaile Su

J. Intell. Syst., 2023

2021

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

Yuanchao Wang, Wenji Du, Chenghao Cai, Yanyan Xu

CoRR, 2021

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

Dengfeng Ke, Yuxing Lu, Xudong Liu, Yanyan Xu, Jing Sun, Chenghao Cai

CoRR, 2021

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.

Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Measuring the Quality of B Abstract Machines with ISO/IEC 25010.

Chenghao Cai, Jing Sun, Gillian Dobbie

Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2020

2019

Automatic B-model repair using model checking and machine learning.

Chenghao Cai, Jing Sun, Gillian Dobbie

Autom. Softw. Eng., 2019

Trainable back-propagated functional transfer matrices.

Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su, Jing Sun

Appl. Intell., 2019

Design Model Repair with Formal Verification.

Chenghao Cai, Jing Sun, Gillian Dobbie

Proceedings of the Formal Methods and Software Engineering, 2019

Achieving Abstract Machine Reachability with Learning-Based Model Fulfilment.

Chenghao Cai, Jing Sun, Gillian Dobbie, Scott Uk-Jin Lee

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018

B-Repair: Repairing B-Models Using Machine Learning.

Chenghao Cai, Jing Sun, Gillian Dobbie

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.

Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su

CoRR, 2017

Symbolic manipulation based on deep neural networks and its application to axiom discovery.

Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

A Fast Learning Method for Multilayer Perceptrons in Automatic Speech Recognition Systems.

Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su

J. Robotics, 2015

Deep Neural Networks with Multistate Activation Functions.

Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su

Comput. Intell. Neurosci., 2015

A Combination of Multi-state Activation Functions, Mean-normalisation and Singular Value Decomposition for learning Deep Neural Networks.

Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Fast Learning of Deep Neural Networks via Singular Value Decomposition.

Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014