Defu Cao
12 papers · 2020–2025 · 6 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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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Renaissance Researcher
(8)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(61)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(7)
Deep Learning
(6)
Core Methods
(5)
Data Science & Analytics
(4)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Knowledge & Reasoning
(2)
Optimization & Theory
(2)
Representation
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
time series forecasting
(3)
causal inference
(3)
large language model
(2)
multimodal learning
(2)
representation learning
(2)
sentiment analysis
(1)
prompt-based learning
(1)
bayesian inference
(1)
prompt engineering
(1)
social media analysis
(1)
domain adaptation
(1)
attention mechanism
(1)
semantic knowledge
(1)
network analysis
(1)
time series
(1)
information bottleneck
(1)
posterior estimation
(1)
spectral analysis
(1)
multivariate time series
(1)
zero-shot learning
(1)
Papers
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
ICLR 2025
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
NeurIPS 2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
ICML 2024
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
AAAI 2024
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
ICLR 2024
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
ICLR 2024
Coupled Multiwavelet Operator Learning for Coupled Differential Equations
ICLR 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers
CVPR 2023
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
NeurIPS 2022
Enhancing Self-Attention with Knowledge-Assisted Attention Maps
NAACL 2022
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
NeurIPS 2020