W. Ronny Huang
15 papers · 2018–2023 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5)
🌍
Conference Polyglot
(5)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏆
Keyword Champion
🗃️
Keyword Collector
(59)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(15)
🔥
Unstoppable
(6)
❓
The Questioner
Conferences
INTERSPEECH (7)
NIPS (3)
ICLR (2)
ICML (2)
WACV (1)
Top co-authors
Research topics
Keywords
language model
(3)
speech recognition
(3)
word error rate
(3)
adversarial attack
(3)
automatic speech recognition
(3)
data poisoning
(2)
clean-label poisoning
(2)
stochastic gradient descent
(2)
domain adaptation
(1)
privacy preservation
(1)
transfer learning
(1)
semantic segmentation
(1)
neural network optimization
(1)
feature space
(1)
convolutional neural network
(1)
batch normalization
(1)
bilevel optimization
(1)
knowledge distillation
(1)
artifact detection
(1)
discriminative training
(1)
Papers
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR
INTERSPEECH 2023
Detecting Unintended Memorization in Language-Model-Fused ASR
INTERSPEECH 2022
Towards Disentangled Speech Representations
INTERSPEECH 2022
Improving Rare Word Recognition with LM-aware MWER Training
INTERSPEECH 2022
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR
INTERSPEECH 2022
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition
INTERSPEECH 2022
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
NIPS 2021
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
ICLR 2021
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition
INTERSPEECH 2021
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
WACV 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
NIPS 2020
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
ICML 2020
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
ICML 2019
Are adversarial examples inevitable?
ICLR 2019
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
NIPS 2018