Wenxin Tai
16 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (11)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(11)
Core Methods
(10)
Models
(7)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Data Science & Analytics
(4)
Speech & Audio
(4)
Learning Types Β· Deep Learning
(4)
Synthesis
(4)
Application Areas
(3)
Applications
(2)
Methods
(2)
Keywords
diffusion model
(5)
graph neural network
(5)
speech enhancement
(4)
generative model
(3)
graph anomaly detection
(2)
earnings call
(2)
text representation
(2)
denoising diffusion probabilistic model
(2)
speech separation
(1)
natural language processing
(1)
link prediction
(1)
information retrieval
(1)
dynamic graph learning
(1)
conditional generation
(1)
time series anomaly detection
(1)
anomaly detection
(1)
knowledge graph reasoning
(1)
hypergraph learning
(1)
time-frequency analysis
(1)
feature disentanglement
(1)
Papers
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
ICML 2025
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
AAAI 2024
Explainable Earnings Call Representation Learning (Student Abstract)
AAAI 2024
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
AAAI 2024
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
AAAI 2024
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)
AAAI 2024
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
AAAI 2024
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)
AAAI 2024
Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
AAAI 2024
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
NeurIPS 2023
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract)
AAAI 2023
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)
AAAI 2023
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
AAAI 2023
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources
EMNLP 2023
A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract)
AAAI 2022
Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection
Interspeech 2021