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Hao Wang

Rutgers University, Department of Computer Science, Piscataway, NJ, USA

27 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

ICLR ×9NeurIPS ×5ICML ×4AAAI ×2NAACL ×2ACL ×1EMNLP ×1WACV ×1WSDM ×1WWW ×1

Frequent coauthors

Hengyi Wang
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Hengguan Huang
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Xinyue Xu
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Zhuowei Li
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Ziyan Wang
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Guang-Yuan Hao
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Keerthi Gopalakrishnan
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Kalliopi Basioti
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Ziyu Lu
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Hongfu Liu
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Xinxi Zhang
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Xinyu Li
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Papers

  1. BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
    AAAI 2026 ·
    Hengguan Huang
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  2. LLM and Agents for Recommendation Systems (LARS)
    WWW 2026 ·
    Keerthi Gopalakrishnan
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  3. Concept-Based Unsupervised Domain Adaptation
    ICML 2025 ·
    Xinyue Xu
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  4. GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
    ICLR 2025 ·
    Kalliopi Basioti
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  5. Implicit In-context Learning
    ICLR 2025 ·
    Zhuowei Li
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  6. Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
    NAACL 2025 ·
    Hengyi Wang
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  7. NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics
    ICLR 2025 ·
    Ziyu Lu
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  8. On Calibration of LLM-based Guard Models for Reliable Content Moderation
    ICLR 2025 ·
    Hongfu Liu
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  9. PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
    NeurIPS 2025 ·
    Ziyan Wang
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  10. SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
    WACV 2025 ·
    Xinxi Zhang
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  11. The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
    ICML 2025 ·
    Zhuowei Li
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  12. Towards Accurate Time Series Forecasting via Implicit Decoding
    NeurIPS 2025 ·
    Xinyu Li
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  13. Towards Domain Adaptive Neural Contextual Bandits
    ICLR 2025 ·
    Ziyan Wang
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  14. Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
    NeurIPS 2025 ·
    Haizhou Shi
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  15. Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
    ICLR 2025 ·
    Aldo Pareja
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  16. BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
    NeurIPS 2024 ·
    Yibin Wang
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  17. Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System
    ACL 2024 ·
    Hengguan Huang
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  18. Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
    AAAI 2024 ·
    Guang-Yuan Hao
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  19. Continuous Invariance Learning
    ICLR 2024 ·
    Lin Yong
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  20. Delving into Differentially Private Transformer
    ICML 2024 ·
    Youlong Ding
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  21. Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
    ICLR 2024 ·
    Xinyue Xu
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  22. LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud
    NAACL 2024 ·
    Mengke Zhang
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  23. Natural Counterfactuals With Necessary Backtracking
    NeurIPS 2024 ·
    Guang-Yuan Hao
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  24. Pre-trained Recommender Systems: A Causal Debiasing Perspective
    WSDM 2024 ·
    Ziqian Lin
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  25. Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
    ICML 2024 ·
    Hengyi Wang
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  26. Raidar: geneRative AI Detection viA Rewriting
    ICLR 2024 ·
    Chengzhi Mao
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  27. Variational Language Concepts for Interpreting Foundation Language Models
    EMNLP 2024 ·
    Hengyi Wang
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