An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition. - Hengguan Huang; Khe Chai Sim (ICASSP, 2015)

To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories. - Hengguan Huang; Brian Mak (INTERSPEECH, 2017)

WaveNet MH-SRU: Deep and Wide Multiple-history Simple Recurrent Unit for Speech Recognition. - Hengguan Huang; Brian Mak (ISCSLP, 2018)

Recurrent Poisson Process Unit for Speech Recognition. - Hengguan Huang; Hao Wang 014; Brian Mak (AAAI, 2019)

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition. - Hengguan Huang; Fuzhao Xue; Hao Wang 014; Ye Wang 007 (ICML, 2020)

STRODE: Stochastic Boundary Ordinary Differential Equation. - Hengguan Huang; Hongfu Liu 002; Hao Wang 014; Chang Xiao; Ye Wang 007 (ICML, 2021)

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation. - Hengguan Huang; Xiangming Gu; Hao Wang 014; Chang Xiao; Hongfu Liu 002; Ye Wang 007 (NeurIPS, 2022)

Unsupervised Mismatch Localization in Cross-Modal Sequential Data. - Wei Wei 037; Hengguan Huang; Xiangming Gu; Hao Wang 014; Ye Wang 007 (CoRR, 2022)

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization. - Wei Wei 037; Hengguan Huang; Xiangming Gu; Hao Wang 014; Ye Wang 007 (Trans. Mach. Learn. Res., 2022)

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. - Xueyang Wu 001; Hengguan Huang; Youlong Ding; Hao Wang 014; Ye Wang 007; Qian Xu 005 (AAAI, 2023)

Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts. - Hongfu Liu 002; Hengguan Huang; Ye Wang 007 (CoRR, 2023)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. - Xing Shen 001; Hengguan Huang; Brennan Nichyporuk; Tal Arbel (CoRR, 2023)

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees. - Guang-Yuan Hao; Hengguan Huang; Haotian Wang; Jie Gao; Hao Wang 014 (AAAI, 2024)

Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System. - Hengguan Huang; Songtao Wang; Hongfu Liu 002; Hao Wang 014; Ye Wang 007 (ACL (Findings), 2024)

Advancing Test-Time Adaptation in Wild Acoustic Test Settings. - Hongfu Liu 002; Hengguan Huang; Ye Wang 007 (EMNLP, 2024)

Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset. - Hengguan Huang; Songtao Wang; Hongfu Liu 002; Hao Wang 014; Ye Wang 007 (CoRR, 2024)

Verbalized Probabilistic Graphical Modeling with Large Language Models. - Hengguan Huang; Xing Shen 001; Songtao Wang; Dianbo Liu; Hao Wang 014 (CoRR, 2024)

On Calibration of LLM-based Guard Models for Reliable Content Moderation. - Hongfu Liu 002; Hengguan Huang; Xiangming Gu; Hao Wang 014; Ye Wang 007 (ICLR, 2025)

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. - Xing Shen 001; Justin Szeto; Mingyang Li; Hengguan Huang; Tal Arbel (CoRR, 2025)