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Chen, Yongqiang

  1. Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
    2022/02/11 by Yongqiang Chen, Yonggang Zhang, Chen, Yongqiang +15 · 14 citations
    Environmental Science · Computer Science · Medicine · #Health, Environment, Cognitive Aging #Machine Learning in Healthcare #Data-Driven Disease Surveillance
  2. Retrieval-Augmented Generation with Hierarchical Knowledge
    2025/03/13 by Haoyu Huang, Huang, Haoyu, Yongfeng Huang +13 · 1 voice · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  3. Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
    2022/02/16 by Yongqiang Chen, Han Yang, Chen, Yongqiang +11 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. A Sober Look at the Robustness of CLIPs to Spurious Features
    2024/03/18 by Qizhou Wang, Lin Yong, Wang, Qizhou +9 · 10 citations
    Computer Science · #Digital Imaging for Blood Diseases #AI in cancer detection
  5. Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
    2023/10/29 by Chen, Yongqiang, Bian, Yatao, Zhou, Kaiwen +3 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Understanding and Improving Feature Learning for Out-of-Distribution Generalization
    2023/04/22 by Chen, Yongqiang, Huang, Wei, Zhou, Kaiwen +3 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration
    2024/12/01 by Haoze Sun, Wenbo Li, Sun, Haoze +17 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications
  8. Discovering and Reasoning of Causality in the Hidden World with Large Language Models
    2024/02/06 by Chenxi Liu, Liu, Chenxi, Yongqiang Chen +11 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Topic Modeling
  9. Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
    2022/06/15 by Yongqiang Chen, Chen, Yongqiang, Kaiwen Zhou +17 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
  10. How Interpretable Are Interpretable Graph Neural Networks?
    2024/06/12 by Yongqiang Chen, Chen, Yongqiang, Yatao Bian +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  11. HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment
    2024/06/20 by Yongqiang Chen, Chen, Yongqiang, Quanming Yao +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Quantitative Methods (q-bio.QM) #Semantic Web and Ontologies #Topic Modeling
  12. Empowering Graph Invariance Learning with Deep Spurious Infomax
    2024/07/13 by Tianjun Yao, Yongqiang Chen, Yao, Tianjun +9 · 2 citations
    Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence in Healthcare #Text and Document Classification Technologies
  13. Can Large Language Models Help Experimental Design for Causal Discovery?
    2025/03/03 by Li, Junyi, Chen, Yongqiang, Liu, Chenxi +5 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  14. RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads
    2023/02/06 by Penghui Wei, Wei, Penghui, Yongqiang Chen +7 · 1 citation
    Engineering · Social Sciences · #FOS: Computer and information sciences #Green IT and Sustainability #Information Retrieval (cs.IR) #Privacy, Security, and Data Protection #Transportation and Mobility Innovations
  15. Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere
    2025/08/03 by Mingru Yang, Yang, Mingru, Ying-Qiu Gu +17 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Audio and Speech Processing (eess.AS) #Digital Media Forensic Detection #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Sound (cs.SD) #electronic engineering #information engineering
  16. BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
    2025/02/02 by Xu, Jiaxing, Chen, Yongqiang, Dong, Xia +5 · 2 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
  17. Enhancing Evolving Domain Generalization through Dynamic Latent Representations
    2024/01/16 by Xie, Binghui, Chen, Yongqiang, Wang, Jiaqi +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
    2020/02/18 by Han Yang, Yan Xiao, Yang, Han +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Graph Theory and Algorithms
  19. Towards out-of-distribution generalizable predictions of chemical kinetics properties
    2023/10/04 by Zihao Wang, Wang, Zihao, Yongqiang Chen +11 · 1 citation
    Chemistry · Computer Science · Materials Science · #Asymmetric Hydrogenation and Catalysis #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  20. TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
    2025/09/30 by Chang, Shenxu, Yu, Junchi, Wang, Weixing +4 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
    2025/06/26 by Zou, Deyu, Chen, Yongqiang, Li, Mufei +5 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences