Shufeng Kong
10 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze 𧬠Topic Evolution
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Century Club Β· Bronze
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Trend Setter
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Core Methods
(6)
Mathematics & Optimization
(4)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Optimization
(4)
Artificial Intelligence
(3)
Core AI
(3)
Models
(3)
Optimization & Theory
(3)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic
(1)
Keywords
multi-label classification
(4)
graph attention network
(3)
variational autoencoder
(3)
label correlation
(3)
contrastive learning
(2)
self-supervised learning
(2)
combinatorial optimization
(2)
multivariate probit model
(2)
representation learning
(2)
message passing
(1)
heuristic search
(1)
deep learning
(1)
constraint optimization
(1)
integer linear programming
(1)
latent space
(1)
graph representation
(1)
graph transformer
(1)
attention mechanism
(1)
gaussian mixture model
(1)
graphical model
(1)
Papers
MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging
AAAI 2026
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
AAAI 2024
ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning
UAI 2024
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation
IJCAI 2023
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
NeurIPS 2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
ICML 2022
Pretrained Cost Model for Distributed Constraint Optimization Problems
AAAI 2022
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
IJCAI 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
IJCAI 2020