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Ying Wei

Nanyang Technological University, China

22 papers at tracked venues · 20 at CORE A* · active 2024–2025

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Venues

ICLR ×5ICML ×5NeurIPS ×5ACL ×3EMNLP ×2AAAI ×1CVPR ×1

Frequent coauthors

Shengzhuang Chen
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Yichen Wu
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Hongming Piao
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Zhan Zhuang
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Gangwei Jiang
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Haokun Lin
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Baoyi He
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Yingzhao Jian
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Luotian Yuan
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Tianqi Zhong
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Yunqiao Yang
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Weichuan Wang
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Papers

  1. A$3$E: Towards Compositional Model Editing
    NeurIPS 2025 ·
    Hongming Piao
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  2. Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts
    ACL 2025 ·
    Shengzhuang Chen
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  3. CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
    ICLR 2025 ·
    Shengzhuang Chen
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  4. Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
    ICML 2025 ·
    Zhan Zhuang
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  5. Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
    NeurIPS 2025 ·
    Baoyi He
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  6. Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures
    ICML 2025 ·
    Yingzhao Jian
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  7. SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
    ICLR 2025 ·
    Yichen Wu
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  8. Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
    ICLR 2025 ·
    Gangwei Jiang
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  9. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
    EMNLP 2025 ·
    Gangwei Jiang
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  10. Active Retrosynthetic Planning Aware of Route Quality
    ICLR 2024 ·
    Luotian Yuan
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  11. Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
    ACL 2024 ·
    Tianqi Zhong
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  12. DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
    NeurIPS 2024 ·
    Haokun Lin
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  13. Federated Continual Learning via Prompt-based Dual Knowledge Transfer
    ICML 2024 ·
    Hongming Piao
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  14. Learning Where to Edit Vision Transformers
    NeurIPS 2024 ·
    Yunqiao Yang
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  15. Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
    ICLR 2024 ·
    Yichen Wu
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  16. Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
    ICML 2024 ·
    Yichen Wu
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  17. Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
    EMNLP 2024 ·
    Weichuan Wang
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  18. MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric
    CVPR 2024 ·
    Haokun Lin
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  19. RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
    AAAI 2024 ·
    Yemin Yu
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  20. Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
    NeurIPS 2024 ·
    Zhan Zhuang
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  21. Understanding and Patching Compositional Reasoning in LLMs
    ACL 2024 ·
    Zhaoyi Li
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  22. Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
    ICML 2024 ·
    Shengzhuang Chen
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