Wen Wu
15 papers · 2023–2026 · 7 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (91) 🌈 Renaissance Researcher (5)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(7)
Core Methods
(6)
Learning Types · Machine Learning
(6)
Optimization & Theory
(5)
Deep Learning
(3)
Natural Language Processing
(3)
Applications
(3)
Bayesian & Probabilistic
(3)
Learning Types · Deep Learning
(3)
Speech & Audio
(2)
Analysis
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Keywords
bayesian inference
(3)
suicide risk detection
(2)
emotion recognition
(2)
benchmark evaluation
(2)
uncertainty quantification
(2)
speech recognition
(2)
visual question answering
(1)
probabilistic modeling
(1)
metric learning
(1)
information bottleneck
(1)
epistemic uncertainty
(1)
embedding learning
(1)
feature learning
(1)
preference learning
(1)
data augmentation
(1)
text classification
(1)
weakly supervised learning
(1)
relation extraction
(1)
direct preference optimization
(1)
sentiment analysis
(1)
Papers
HAVE-Bench: Hierarchical Audio-Visual Evaluation from Perception to Interaction
CVPR 2026
MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation
AAAI 2026
Bayesian WeakS-to-Strong from Text Classification to Generation
ICLR 2025
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
AAAI 2025
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
AAAI 2025
The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents
Interspeech 2025
VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture
IJCAI 2025
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
AAAI 2024
Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews
Interspeech 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation
ACL 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
COLING 2024
Modelling Variability in Human Annotator Simulation
ACL 2024
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models
Interspeech 2024
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
ACL 2023
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
Interspeech 2023