Kay Chen Tan
12 papers · 2020–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5) π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(44)
π
Conference Polyglot
(3)
π
Century Club
(10)
ποΈ
Keyword Collector
(65)
π₯
Unstoppable
(5)
Conferences
AAAI (8)
IJCAI (3)
CVPR (1)
Top co-authors
Keywords
transfer learning
(3)
spiking neural network
(2)
partial differential equation
(2)
graph neural network
(2)
evolutionary algorithm
(2)
energy efficiency
(2)
genetic programming
(2)
symbolic regression
(2)
large language model
(2)
feature selection
(2)
multi-objective optimization
(2)
neuromorphic computing
(2)
automatic differentiation
(1)
geometric deep learning
(1)
neural architecture search
(1)
loss function optimization
(1)
temporal modeling
(1)
representation learning
(1)
multi-label learning
(1)
algorithmic fairness
(1)
Papers
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
AAAI 2026
Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes
AAAI 2026
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
IJCAI 2025
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
AAAI 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
IJCAI 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
AAAI 2024
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
AAAI 2024
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
AAAI 2024
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs
AAAI 2023
Crowd Counting in the Frequency Domain
CVPR 2022
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
IJCAI 2020