Wen Huang
11 papers · 2022–2026 · 4 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(35)
💎
Century Club · Bronze
🗃️
Keyword Collector
(61)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(8)
Machine Learning
(7)
Deep Learning
(6)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Speech & Audio
(3)
Analysis
(3)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Keywords
causal inference
(3)
multi-armed bandit
(2)
model generalization
(2)
deepfake detection
(2)
speech deepfake detection
(2)
adversarial learning
(2)
domain generalization
(1)
adversarial robustness
(1)
regret analysis
(1)
voice conversion
(1)
speech synthesis
(1)
multimodal learning
(1)
adversarial training
(1)
least squares loss
(1)
data augmentation
(1)
image matching
(1)
speaker verification
(1)
attention mechanism
(1)
model aggregation
(1)
sharpness-aware minimization
(1)
Papers
A Data-Centric Approach to Generalizable Speech Deepfake Detection
ACL 2026
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
AAAI 2026
Rejoining Precious Artifacts: Efficiently Bone Stick Rejoining Based Massive Fragment Images by Contour, Script, and Texture
AAAI 2026
From Sharpness to Better Generalization for Speech Deepfake Detection
Interspeech 2025
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
AAAI 2025
SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods
ACL 2025
Data-Free Hard-Label Robustness Stealing Attack
AAAI 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
AAAI 2024
Visual Hallucinations of Multi-modal Large Language Models
ACL 2024
Achieving Counterfactual Fairness for Causal Bandit
AAAI 2022
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
ICML 2022