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Journal Articles
- 2022
[j1]Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang:
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2024
- [c10]Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang:
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees. AAAI 2024: 12286-12294 - [c9]Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang:
Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System. ACL (Findings) 2024: 1624-1637 - 2023
- [c8]Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu:
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. AAAI 2023: 10399-10407 - 2022
- [c7]Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang:
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation. NeurIPS 2022 - 2021
- [c6]Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang:
STRODE: Stochastic Boundary Ordinary Differential Equation. ICML 2021: 4435-4445 - 2020
- [c5]Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang:
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition. ICML 2020: 4531-4541 - 2019
- [c4]Hengguan Huang, Hao Wang, Brian Mak
:
Recurrent Poisson Process Unit for Speech Recognition. AAAI 2019: 6538-6545 - 2018
- [c3]Hengguan Huang, Brian Mak:
WaveNet MH-SRU: Deep and Wide Multiple-history Simple Recurrent Unit for Speech Recognition. ISCSLP 2018: 141-145 - 2017
- [c2]Hengguan Huang, Brian Mak:
To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories. INTERSPEECH 2017: 3862-3866 - 2015
- [c1]Hengguan Huang, Khe Chai Sim:
An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition. ICASSP 2015: 4610-4613
Informal and Other Publications
- 2024
- [i8]Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang:
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees. CoRR abs/2402.02110 (2024) - [i7]Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang:
Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset. CoRR abs/2402.05547 (2024) - [i6]Hengguan Huang, Xing Shen, Songtao Wang, Dianbo Liu, Hao Wang:
Verbalized Probabilistic Graphical Modeling with Large Language Models. CoRR abs/2406.05516 (2024) - 2023
- [i5]Hongfu Liu, Hengguan Huang, Ye Wang:
Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts. CoRR abs/2310.09505 (2023) - [i4]Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel:
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. CoRR abs/2310.15952 (2023) - 2022
- [i3]Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang:
Unsupervised Mismatch Localization in Cross-Modal Sequential Data. CoRR abs/2205.02670 (2022) - 2021
- [i2]Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang:
STRODE: Stochastic Boundary Ordinary Differential Equation. CoRR abs/2107.08273 (2021) - 2020
- [i1]Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang:
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition. CoRR abs/2007.02126 (2020)
Coauthor Index
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