Hengguan Huang

According to our database, Hengguan Huang authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

2024

Verbalized Probabilistic Graphical Modeling with Large Language Models.

Hengguan Huang, Xing Shen, Songtao Wang, Dianbo Liu, Hao Wang

CoRR, 2024

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

Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang

CoRR, 2024

Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System.

Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees.

Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang

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.

Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel

CoRR, 2023

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

Hongfu Liu, Hengguan Huang, Ye Wang

CoRR, 2023

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation.

Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu

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.

Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

Trans. Mach. Learn. Res., 2022

Unsupervised Mismatch Localization in Cross-Modal Sequential Data.

Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

CoRR, 2022

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation.

Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang

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.

Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition.

Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Recurrent Poisson Process Unit for Speech Recognition.

Hengguan Huang, Hao Wang, Brian Mak

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.

Hengguan Huang, Brian Mak

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.

Hengguan Huang, Brian Mak

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.

Hengguan Huang, Khe Chai Sim

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015