Xiaoshuang Shi
19 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Machine Learning
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(6)
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Artificial Intelligence
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Keywords
representation learning
(4)
unsupervised learning
(4)
graph representation learning
(4)
contrastive learning
(3)
graph neural network
(3)
conformal prediction
(3)
uncertainty quantification
(3)
diffusion model
(3)
privacy attack
(2)
calibration set
(2)
multiplex graph
(2)
self-supervised learning
(2)
node classification
(2)
generative model
(2)
deep learning
(2)
prediction set
(2)
large language model
(2)
ensemble learning
(1)
false discovery rate
(1)
image generation
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Papers
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
AAAI 2026
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
ICML 2025
Meta Label Correction with Generalization Regularizer
IJCAI 2025
SConU: Selective Conformal Uncertainty in Large Language Models
ACL 2025
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
ICLR 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
ICML 2024
Are Diffusion Models Vulnerable to Membership Inference Attacks?
ICML 2023
Disentangled Multiplex Graph Representation Learning
ICML 2023
Improve Video Representation with Temporal Adversarial Augmentation
IJCAI 2023
Multiplex Graph Representation Learning via Common and Private Information Mining
AAAI 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
NeurIPS 2023
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022
Simple Unsupervised Graph Representation Learning
AAAI 2022
Loss-Based Attention for Deep Multiple Instance Learning
AAAI 2020
SemiContour: A Semi-Supervised Learning Approach for Contour Detection
CVPR 2016