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Dong Wang

University of Illinois at Urbana-Champaign, Urbana, IL, USA

25 papers at tracked venues · 16 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9599-8023 ↗Google Scholar ↗Homepage ↗

Venues

WWW ×5SIGIR ×3WSDM ×3ACL ×2NAACL ×2AAAI ×1CHI ×1CSCW ×1EMNLP ×1ICCV ×1ICLR ×1ICWSM ×1IJCAI ×1NeurIPS ×1SIGKDD ×1

Frequent coauthors

Zhenrui Yue
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Ruohan Zong
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Huimin Zeng
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Yifan Liu
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Zelin Li
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Lanyu Shang
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Yueqi Wang
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Yaokun Liu
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Gyuseok Lee
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Yeaeun Gong
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Haejin Lee
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Yang Zhang
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Papers

  1. Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
    SIGIR 2026 ·
    Yifan Liu
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  2. Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering
    WWW 2026 ·
    Yaokun Liu
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  3. Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm
    WSDM 2026 ·
    Ruohan Zong
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  4. Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy
    WWW 2026 ·
    Zelin Li
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  5. SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
    SIGIR 2026 ·
    Gyuseok Lee
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  6. Anti-Tamper Protection for Unauthorized Individual Image Generation
    ICCV 2025 ·
    Zelin Li
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  7. Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning
    IJCAI 2025 ·
    Ruohan Zong
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  8. Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations
    CSCW 2025 ·
    Yeaeun Gong
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  9. Empowering LLMs to Synthesize AI and Human Intelligence for Explainable Public Health Misinformation Detection on Social Media
    ICWSM 2025 ·
    Ruohan Zong
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  10. Hybrid Latent Reasoning via Reinforcement Learning
    NeurIPS 2025 ·
    Zhenrui Yue
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  11. Inference Scaling for Long-Context Retrieval Augmented Generation
    ICLR 2025 ·
    Zhenrui Yue
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  12. Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes
    CHI 2025 ·
    Haejin Lee
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  13. Modality Interactive Mixture-of-Experts for Fake News Detection
    WWW 2025 ·
    Yifan Liu
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  14. Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation
    SIGKDD 2025 ·
    Zhenrui Yue
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  15. SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis
    AAAI 2025 ·
    Lanyu Shang
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  16. Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
    WSDM 2025 ·
    Yueqi Wang
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  17. Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
    NAACL 2024 ·
    Zhenrui Yue
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  18. Fair Federated Learning with Biased Vision-Language Models
    ACL 2024 ·
    Huimin Zeng
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  19. Fair Sequential Recommendation without User Demographics
    SIGIR 2024 ·
    Huimin Zeng
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  20. Linear Recurrent Units for Sequential Recommendation
    WSDM 2024 ·
    Zhenrui Yue
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  21. MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection
    WWW 2024 ·
    Lanyu Shang
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  22. Open-Vocabulary Federated Learning with Multimodal Prototyping
    NAACL 2024 ·
    Huimin Zeng
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  23. Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
    ACL 2024 ·
    Zhenrui Yue
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  24. SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment
    WWW 2024 ·
    Yang Zhang
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  25. Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
    EMNLP 2024 ·
    Yueqi Wang
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