Xiaoshuang Shi
19 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (9)
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Academic Marathon
(9)
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Cross-Pollinator
(12)
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Renaissance Researcher
(6)
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Dynamic Duo
(14)
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Grand Slam
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Prolific Year
(5)
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Trend Setter
ποΈ
Keyword Collector
(78)
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(5)
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Century Club
(18)
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The Questioner
(2)
Conferences
AAAI (5)
ICML (4)
IJCAI (3)
CVPR (2)
ACL (1)
EMNLP (1)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
graph representation learning
(4)
unsupervised learning
(4)
uncertainty quantification
(3)
contrastive learning
(3)
graph neural network
(3)
conformal prediction
(3)
self-supervised learning
(2)
calibration set
(2)
representation learning
(2)
node classification
(2)
multiplex graph
(2)
large language model
(2)
deep learning
(2)
diffusion model
(2)
prediction set
(2)
em algorithm
(1)
ensemble learning
(1)
false discovery rate
(1)
privacy attack
(1)
wasserstein distance
(1)
Papers
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
AAAI 2026
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
SConU: Selective Conformal Uncertainty in Large Language Models
ACL 2025
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
ICML 2025
Meta Label Correction with Generalization Regularizer
IJCAI 2025
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
ICLR 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
ICML 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
Multiplex Graph Representation Learning via Common and Private Information Mining
AAAI 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
NIPS 2023
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
Simple Unsupervised Graph Representation Learning
AAAI 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022
Loss-Based Attention for Deep Multiple Instance Learning
AAAI 2020
SemiContour: A Semi-Supervised Learning Approach for Contour Detection
CVPR 2016