Yongqiang Chen
22 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (14) 🏆 Grand Slam
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Dynamic Duo
(14)
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(110)
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Unstoppable · Bronze
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(2)
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Prolific Year · Productive
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Trend Setter
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Century Club · Bronze
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Research topics
Deep Learning
(16)
Machine Learning
(15)
Artificial Intelligence
(13)
Core AI
(12)
Architectures
(11)
Core Methods
(9)
Application Areas
(7)
Learning Types · Machine Learning
(6)
Learning Types · Deep Learning
(5)
Natural Language Processing
(3)
Resources & Methods
(2)
Computer Vision
(1)
Security & Privacy
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Keywords
out-of-distribution generalization
(6)
graph neural network
(5)
domain generalization
(4)
large language model
(3)
causal inference
(3)
representation learning
(2)
spurious correlation
(2)
permutation invariance
(2)
invariant risk minimization
(2)
invariant learning
(2)
empirical risk minimization
(2)
subset selection
(2)
causal model
(2)
preference optimization
(1)
chain-of-thought reasoning
(1)
graph representation learning
(1)
attention mechanism
(1)
causal discovery
(1)
interpretability
(1)
iterative refinement
(1)
Papers
A Unified Perspective on Adversarial Membership Manipulation in Vision Models
CVPR 2026
CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization
ACL 2026
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
ICLR 2025
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
AAAI 2025
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere
Interspeech 2025
Hierarchical Graph Tokenization for Molecule-Language Alignment
ICML 2025
Learning Graph Invariance by Harnessing Spuriosity
ICLR 2025
Retrieval-Augmented Generation with Hierarchical Knowledge
EMNLP 2025
A Sober Look at the Robustness of CLIPs to Spurious Features
NeurIPS 2024
Discovery of the Hidden World with Large Language Models
NeurIPS 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax
ICML 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
AAAI 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
ICLR 2024
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
NeurIPS 2024
How Interpretable Are Interpretable Graph Neural Networks?
ICML 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning
NeurIPS 2024
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
NeurIPS 2023
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
ICLR 2023
Understanding and Improving Feature Learning for Out-of-Distribution Generalization
NeurIPS 2023
Exact Shape Correspondence via 2D graph convolution
NeurIPS 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
NeurIPS 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
ICLR 2022