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Zhu Li
Other Support Staff
,
Campus Fryslân
,
Governance & Technology
https://orcid.org/0000-0002-1409-2482
Email
zhu.li
rug
nl
Wirdumerdijk34
8911 CE
Leeuwarden
Netherlands
Overview
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Research output
(13)
Datasets
(2)
Similar Profiles
(7)
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Dive into the research topics where Zhu Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Sarcasm
84%
Prosodic Cues
36%
Functional Trade-offs
24%
Semantic Cues
24%
Sarcasm Detection
21%
Multimodal Sarcasm Detection
18%
Sarcasm Dataset
16%
Audio
15%
Utterance
14%
Speech Synthesis
12%
Speech Annotation
12%
Bimodal Data
12%
Low-resource Settings
12%
Deep Neural Network
12%
Data Augmentation
12%
Reward Model
12%
Synthetic Speech
12%
Speech Sounds
12%
Multimodal Large Language Models
12%
Training Framework
12%
Large Language Models
12%
Prosody
12%
Perception Study
12%
Dual Track
12%
Foundation Models
9%
Publicly Available
8%
FastSpeech2
8%
Neural Text-to-speech
8%
Cue Weighting
8%
Loudness
8%
Speech Rate
8%
F1 Score
7%
Audio Modality
7%
Annotation Error Detection
7%
Data Scarcity
7%
Naturalness
6%
Speech Dataset
6%
Structured Reasoning
6%
Full Sets
6%
Group Relative Policy Optimization
6%
Multimodal Reasoning
6%
Sets of Trajectories
6%
Cross-modal Reasoning
6%
Distillation Strategies
6%
Learning-based
6%
Hallucinations
6%
Zero-shot
6%
Reinforcement Learning
6%
Initialize
6%
Student Model
6%
Computer Science
Sarcasm Detection
100%
Large Language Model
30%
Data Augmentation
30%
Annotation
27%
Speech Synthesis
24%
Deep Neural Network
24%
Text To Speech
18%
Zero-Shot Learning
18%
Multimodal Large Language Models
12%
Foundation Model
12%
Synthetic Speech
12%
Attention (Machine Learning)
12%
Collaboration
12%
Transfer Learning
11%
Facial Expression
9%
Human Computer Interaction
6%
Data Diversity
6%
Contrastive Learning
6%
Detection Performance
6%
Natural Language Understanding
6%
Reinforcement Learning
6%
Grained Control
6%
Audio Signal Processing
6%
Coder
6%
Speech Synthesis System
6%
Experimental Result
6%
Computational Method
6%
Self-Attention
6%
Arts and Humanities
Sarcasm
60%
Speech Synthesis
24%
Utterance
14%
Prosody
13%
Modal
12%
Controlled
12%
Speech Sound
12%
Expression
9%
Speech Rate
8%
Speech styles
6%
