Hengguan Huang

27 papers A* 9A 1Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling.
AAAI
Hengguan Huang, Xing Shen, Guang-Yuan Hao, Songtao Wang, Lingfa Meng, Dianbo Liu, David A. Duchêne, Hao Wang, Samir Bhatt
2026 J jnl
LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification.
CoRR
Hairong Chen, Yicheng Feng, Ziyu Jia, Samir Bhatt, Hengguan Huang
2025 — conf
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification.
MICCAI (7)
Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel
2025 J jnl
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification.
CoRR
Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel
2025 J jnl
Improving Robustness and Reliability in Medical Image Classification With Latent-Guided Diffusion and Nested-Ensembles.
IEEE Trans. Medical Imaging
Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel
2025 A* conf
On Calibration of LLM-based Guard Models for Reliable Content Moderation.
ICLR
Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
2024 A* conf
Advancing Test-Time Adaptation in Wild Acoustic Test Settings.
EMNLP
Hongfu Liu, Hengguan Huang, Ye Wang
2024 — conf
Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System.
ACL (Findings)
Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang
2024 J jnl
Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset.
CoRR
Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang
2024 A* conf
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees.
AAAI
Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang
2024 J jnl
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees.
CoRR
Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang
2024 J jnl
On Calibration of LLM-based Guard Models for Reliable Content Moderation.
CoRR
Hongfu Liu, Hengguan Huang, Hao Wang, Xiangming Gu, Ye Wang
2024 J jnl
Verbalized Probabilistic Graphical Modeling with Large Language Models.
CoRR
Hengguan Huang, Xing Shen, Songtao Wang, Dianbo Liu, Hao Wang
2023 J jnl
Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts.
CoRR
Hongfu Liu, Hengguan Huang, Ye Wang
2023 A* conf
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation.
AAAI
Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu
2023 J jnl
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.
CoRR
Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel
2022 A* conf
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation.
NeurIPS
Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang
2022 J jnl
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization.
Trans. Mach. Learn. Res.
Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
2022 J jnl
Unsupervised Mismatch Localization in Cross-Modal Sequential Data.
CoRR
Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
2021 A* conf
STRODE: Stochastic Boundary Ordinary Differential Equation.
ICML
Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
2021 J jnl
STRODE: Stochastic Boundary Ordinary Differential Equation.
CoRR
Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
2020 A* conf
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition.
ICML
Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang
2020 J jnl
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition.
CoRR
Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang
2019 A* conf
Recurrent Poisson Process Unit for Speech Recognition.
AAAI
Hengguan Huang, Hao Wang, Brian Mak
2018 — conf
WaveNet MH-SRU: Deep and Wide Multiple-history Simple Recurrent Unit for Speech Recognition.
ISCSLP
Hengguan Huang, Brian Mak
2017 A conf
To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories.
INTERSPEECH
Hengguan Huang, Brian Mak
2015 Misc conf
An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition.
ICASSP
Hengguan Huang, Khe Chai Sim