Ning An
11 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver ποΈ Keyword Collector (62) π Renaissance Researcher (5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
multimodal sentiment analysis
(2)
multi-layer perceptron
(2)
graph neural network
(2)
latent space
(2)
frequency domain
(2)
gaussian splatting
(1)
3d vision
(1)
sentiment analysis
(1)
non-stationary time series
(1)
distribution shift
(1)
persistent homology
(1)
neural representation
(1)
hoeffding inequality
(1)
gaussian distribution
(1)
causal effect estimation
(1)
novel view synthesis
(1)
fourier transform
(1)
3d gaussian splatting
(1)
radiance field
(1)
time series forecasting
(1)
Papers
Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic
AAAI 2026
3D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
CVPR 2025
DaNet: Dual-Aware Enhanced Alignment Network for Multimodal Aspect-Based Sentiment Analysis
ACL 2025
Multimodal Invariant Sentiment Representation Learning
ACL 2025
Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data
ACL 2025
Sampling Boundary for Causal Effect Estimation
ACML 2025
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
AAAI 2025
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
IJCAI 2024
LPNER: Label Prompt for Few-shot Nested Named Entity Recognition
ACML 2024
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NeurIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NeurIPS 2023