Hengguan Huang

According to our database1, Hengguan Huang authored at least 18 papers between 2015 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation.
CoRR, 2024

Verbalized Probabilistic Graphical Modeling with Large Language Models.
CoRR, 2024

Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset.
CoRR, 2024

Advancing Test-Time Adaptation in Wild Acoustic Test Settings.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.
CoRR, 2023

Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts.
CoRR, 2023

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization.
Trans. Mach. Learn. Res., 2022

Unsupervised Mismatch Localization in Cross-Modal Sequential Data.
CoRR, 2022

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
STRODE: Stochastic Boundary Ordinary Differential Equation.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Recurrent Poisson Process Unit for Speech Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
WaveNet MH-SRU: Deep and Wide Multiple-history Simple Recurrent Unit for Speech Recognition.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

2017
To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2015
An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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