Hengguan Huang

About Hengguan Huang

Hengguan Huang, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Brain-informed AI, Neuro-inspired AI, Cognitive AI, Bayesian Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles

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

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

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

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization

EP-GAN: Unsupervised Federated Learning with Expectation-Propagation Prior GAN

Hengguan Huang Information

University

Position

CS Phd Candidate

Citations(all)

120

Citations(since 2020)

80

Cited By

63

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Hengguan Huang Skills & Research Interests

Brain-informed AI

Neuro-inspired AI

Cognitive AI

Bayesian Machine Learning

Top articles of Hengguan Huang

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

arXiv preprint arXiv:2402.05547

2024/2/8

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

Proceedings of the AAAI Conference on Artificial Intelligence

2024

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles

arXiv preprint arXiv:2310.15952

2023/10/24

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

arXiv preprint arXiv:2310.09505

2023/10/14

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

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

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

Advances in Neural Information Processing Systems

2022/12/6

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization

arXiv preprint arXiv:2205.02670

2022/5/5

EP-GAN: Unsupervised Federated Learning with Expectation-Propagation Prior GAN

2021/10/6

Strode: Stochastic boundary ordinary differential equation

2021/7/1

Deep graph random process for relational-thinking-based speech recognition

2020/11/21

See List of Professors in Hengguan Huang University(National University of Singapore)