Hengguan Huang
12 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)
🐝
Cross-Pollinator
(9)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(8)
🏆
Grand Slam
🧬
Topic Evolution
🔥
Unstoppable
(7)
💎
Century Club
(11)
🚀
Conference Pioneer
🗃️
Keyword Collector
(57)
Conferences
AAAI (4)
ICML (2)
ACL (1)
EMNLP (1)
ICLR (1)
INTERSPEECH (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
bayesian inference
(3)
automatic speech recognition
(3)
test-time adaptation
(2)
recurrent neural network
(2)
speech recognition
(2)
acoustic modeling
(2)
large language model
(2)
probabilistic model
(2)
long short-term memory
(2)
posterior distribution
(1)
predictive modeling
(1)
model robustness
(1)
bayesian nonparametrics
(1)
time series
(1)
feedback generation
(1)
phoneme recognition
(1)
uncertainty quantification
(1)
bayesian filtering
(1)
stochastic process
(1)
distribution shift
(1)
Papers
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
AAAI 2026
On Calibration of LLM-based Guard Models for Reliable Content Moderation
ICLR 2025
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
MICCAI 2025
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
AAAI 2024
Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System
ACL 2024
Advancing Test-Time Adaptation in Wild Acoustic Test Settings
EMNLP 2024
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation
AAAI 2023
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
NIPS 2022
STRODE: Stochastic Boundary Ordinary Differential Equation
ICML 2021
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
ICML 2020
Recurrent Poisson Process Unit for Speech Recognition
AAAI 2019
To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories
INTERSPEECH 2017