Pengyu Cheng

According to our database1, Pengyu Cheng authored at least 20 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Improved Linear ADRC for Hybrid Energy Storage Microgrid Output-Side Converter.
IEEE Trans. Ind. Electron., 2022

Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification.
IEEE Trans. Ind. Electron., 2022

Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases.
CoRR, 2022

Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis.
CoRR, 2022

WAFFLe: Weight Anonymized Factorization for Federated Learning.
IEEE Access, 2022

2021
Improving Natural Language Understanding via Contrastive Learning Methods.
PhD thesis, 2021

Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Estimating Total Correlation with Mutual Information Bounds.
CoRR, 2020

Full-Range LED Dimming Driver With Ultrahigh Frequency PWM Shunt Dimming Control.
IEEE Access, 2020

Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models.
IEEE Access, 2020

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.
Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamic Embedding on Textual Networks via a Gaussian Process.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Gaussian-Process-Based Dynamic Embedding for Textual Networks.
CoRR, 2019

Straight-Through Estimator as Projected Wasserstein Gradient Flow.
CoRR, 2019

Understanding and Accelerating Particle-Based Variational Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.
CoRR, 2018


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