Chao-Han Huck Yang
39 papers · 2020–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (72) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(13)
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Topic Evolution
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Grand Slam
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Keyword Champion
(4)
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Mega-Team Β· Legion
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Keyword Collector
(176)
Venues
Top co-authors
Research topics
Artificial Intelligence
(26)
Machine Learning
(24)
Core AI
(22)
Speech & Audio
(17)
Deep Learning
(14)
Natural Language Processing
(14)
Recognition
(13)
Application Areas
(12)
Learning Types Β· Machine Learning
(11)
Applications
(9)
Learning Paradigms
(7)
Architectures
(6)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Resources & Methods
(5)
Keywords
automatic speech recognition
(8)
large language model
(7)
speech recognition
(6)
generative error correction
(4)
transfer learning
(3)
multimodal learning
(3)
machine translation
(3)
gender bia
(3)
speech processing
(3)
vision-language model
(3)
state space model
(2)
parameter-efficient learning
(2)
domain adaptation
(2)
speech enhancement
(2)
language model
(2)
representation learning
(2)
multi-task learning
(2)
knowledge distillation
(2)
benchmark evaluation
(2)
optimal transport
(2)
Papers
PRiSM: Benchmarking Phone Realization in Speech Models
ACL 2026
Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception
ACL 2026
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
ICLR 2025
Audio Large Language Models Can Be Descriptive Speech Quality Evaluators
ICLR 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
ICCV 2025
CoVoGER: A Multilingual Multitask Benchmark for Speech-to-text Generative Error Correction with Large Language Models
EMNLP 2025
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
ICLR 2025
ESPnet-SpeechLM: An Open Speech Language Model Toolkit
NAACL 2025
Extending Automatic Machine Translation Evaluation to Book-Length Documents
EMNLP 2025
Fugatto 1: Foundational Generative Audio Transformer Opus 1
ICLR 2025
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
ACL 2025
MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization
ACL 2025
NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model
ACL 2025
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models
ICML 2025
SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models
ACL 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
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
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
EMNLP 2024
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
ACL 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
NeurIPS 2024
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models
Interspeech 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation
Interspeech 2023
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
Interspeech 2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
Interspeech 2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
Interspeech 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
NeurIPS 2023
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition
Interspeech 2023
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Interspeech 2023
Pessimistic Model Selection for Offline Deep Reinforcement Learning
UAI 2023
Treatment Learning Causal Transformer for Noisy Image Classification
WACV 2023
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
EMNLP 2023
Training a Resilient Q-network against Observational Interference
AAAI 2022
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
Interspeech 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
ICML 2021
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
Interspeech 2020