Jun Huang

Venues

Frequent coauthors

Papers

1. AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use
   ACL 2026 ·

   Yuanjie Lyu

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2. Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
   ACL 2026 ·

   Wenrui Cai

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3. Zero-to-Hero: Empowering Video Appearance Transfer with Zero-Shot Initialization and Holistic Restoration
   AAAI 2026 ·

   Tongtong Su

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4. AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editing
   IJCAI 2025 ·

   Tongtong Su

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5. Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
   NeurIPS 2025 ·

   Daoyuan Chen

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6. DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
   ACL 2025 ·

   Chengyu Wang

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7. DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
   CVPR 2025 ·

   Wenhui Liao

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8. EasyAnimate: High-Performance Video Generation Framework with Hybrid Windows Attention and Reward Backpropagation
   ACM MM 2025 ·

   Jiaqi Xu

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9. EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
   EMNLP 2025 ·

   Chengyu Wang

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10. Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis
    CVPR 2025 ·

    Tongtong Su

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11. Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
    EMNLP 2025 ·

    Wenrui Cai

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12. Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
    ICLR 2025 ·

    Xiangru Zhu

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13. FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending
    IJCAI 2025 ·

    Zhongjie Duan

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14. Fingerprinting Denoising Diffusion Probabilistic Models
    CVPR 2025 ·

    Huan Teng

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15. Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis
    IJCAI 2025 ·

    Jiapeng Wang

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16. Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
    EMNLP 2025 ·

    Wenrui Cai

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17. Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing
    ACM MM 2024 ·

    Bingyan Liu

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18. DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
    ACL 2024 ·

    Taolin Zhang

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19. DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation
    ACL 2024 ·

    Jiapeng Wang

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20. DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
    ECML-PKDD 2024 ·

    Zhongjie Duan

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21. Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
    IJCAI 2024 ·

    Zhongjie Duan

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22. Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
    EMNLP 2024 ·

    Yuanhao Yue

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23. DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion
    SDM 2024 ·

    Zhenzhen Chu

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24. Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
    NAACL 2024 ·

    Jianing Wang

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25. M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis
    AAAI 2024 ·

    Ning Zhang

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26. Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters
    WSDM 2024 ·

    Yukang Xie

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27. On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
    ACL 2024 ·

    Dongyang Li

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28. PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud
    ACL 2024 ·

    Chengyu Wang

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29. R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
    ECAI 2024 ·

    Taolin Zhang

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30. Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
    CVPR 2024 ·

    Bingyan Liu

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31. VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
    EMNLP 2024 ·

    Jiapeng Wang

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