← Authors

Chao-Han Huck Yang

37 papers · 2020–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (76) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (7) πŸ’Ž Century Club (37) πŸ—ƒοΈ Keyword Collector (137) ❓ The Questioner

Conferences

INTERSPEECH (9) ICLR (8) EMNLP (6) ACL (5) ICML (2) NIPS (2) AAAI (1) ICCV (1) NAACL (1) UAI (1) WACV (1)

Top co-authors

Pin-Yu Chen (9) Sabato Marco Siniscalchi (7) Chen Chen (7) Yuchen Hu (7) Shinji Watanabe (5) Chao Zhang (4) Yu-Chiang Frank Wang (4) Zhehuai Chen (4) Jinchuan Tian (3) Pin-Jui Ku (3)

Research topics

Differential Privacy (1) Processing (1)

Keywords

automatic speech recognition (6) large language model (5) speech recognition (3) transfer learning (3) gender bia (3) vision-language model (3) machine translation (3) parameter efficiency (2) domain adaptation (2) error correction (2) differential privacy (2) deep reinforcement learning (2) evaluation benchmark (2) optimal transport (2) speech enhancement (2) image captioning (2) multimodal learning (2) representation learning (2) speech processing (2) parameter-efficient learning (2)

Papers

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning ICLR 2025
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models ICML 2025
ESPnet-SpeechLM: An Open Speech Language Model Toolkit NAACL 2025
Extending Automatic Machine Translation Evaluation to Book-Length Documents EMNLP 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025
Fugatto 1: Foundational Generative Audio Transformer Opus 1 ICLR 2025
Audio Large Language Models Can Be Descriptive Speech Quality Evaluators ICLR 2025
Towards Neural Scaling Laws for Time Series Foundation Models ICLR 2025
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation ICLR 2025
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks ICLR 2025
MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization ACL 2025
SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models ACL 2025
NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model ACL 2025
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences ACL 2025
CoVoGER: A Multilingual Multitask Benchmark for Speech-to-text Generative Error Correction with Large Language Models EMNLP 2025
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators ACL 2024
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model EMNLP 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition ICLR 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition ICLR 2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models NIPS 2024
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment EMNLP 2024
Treatment Learning Causal Transformer for Noisy Image Classification WACV 2023
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition EMNLP 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation INTERSPEECH 2023
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation INTERSPEECH 2023
Pessimistic Model Selection for Offline Deep Reinforcement Learning UAI 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models NIPS 2023
How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling INTERSPEECH 2023
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model INTERSPEECH 2023
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models INTERSPEECH 2023
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition INTERSPEECH 2023
Training a Resilient Q-network against Observational Interference AAAI 2022
Voice2Series: Reprogramming Acoustic Models for Time Series Classification ICML 2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification INTERSPEECH 2021
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement INTERSPEECH 2020