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Xin Geng

Southeast University, Key Lab of Computer Network and Information Integration, Nanjing, China

42 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

NeurIPS ×12ICML ×9AAAI ×8CVPR ×3IJCAI ×3ICCV ×2ACM MM ×1CHI ×1ICLR ×1UAI ×1WACV ×1

Frequent coauthors

Fu Feng
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Biao Liu
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Zhiqiang Kou
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Shiyu Xia
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Shuxia Lin
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Yucheng Xie
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Miaosen Zhang
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Longhua Li
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Congyu Qiao
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Qiufeng Wang
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Ruiming Chen
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Huiyi Chen
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Papers

  1. Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
    AAAI 2026 ·
    Shuxia Lin
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  2. DivControl: Knowledge Diversion for Controllable Image Generation
    AAAI 2026 ·
    Yucheng Xie
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  3. Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge
    AAAI 2026 ·
    Ruiming Chen
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  4. Learngene: Inheritable 'Genes' in Intelligent Agents (Abstract Reprint)
    AAAI 2026 ·
    Fu Feng
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  5. MageBench: Bridging Large Multimodal Models to Agents
    WACV 2026 ·
    Miaosen Zhang
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  6. Stratified Knowledge-Density Super-Network for Scalable Vision Transformers
    AAAI 2026 ·
    Longhua Li
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  7. Can Class-Priors Help Single-Positive Multi-Label Learning?
    NeurIPS 2025 ·
    Biao Liu
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  8. ECO: Evolving Core Knowledge for Efficient Transfer
    NeurIPS 2025 ·
    Fu Feng
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  9. Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
    ACM MM 2025 ·
    Huiyi Chen
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  10. Fast Large Language Model Collaborative Decoding via Speculation
    ICML 2025 ·
    Jiale Fu
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  11. FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
    NeurIPS 2025 ·
    Shuo Xu
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  12. Improved Noise Schedule for Diffusion Training
    ICCV 2025 ·
    Tiankai Hang
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  13. Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks
    AAAI 2025 ·
    Yuankun Zu
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  14. KIND: Knowledge Integration and Diversion for Training Decomposable Models
    ICML 2025 ·
    Yucheng Xie
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  15. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
    IJCAI 2025 ·
    Zhiqiang Kou
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  16. Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
    ICML 2025 ·
    Jiaze Xu
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  17. Mimic In-Context Learning for Multimodal Tasks
    CVPR 2025 ·
    Yuchu Jiang
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  18. One-Shot Knowledge Transfer for Scalable Person Re-Identification
    ICCV 2025 ·
    Longhua Li
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  19. Progressively Label Enhancement for Large Language Model Alignment
    ICML 2025 ·
    Biao Liu
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  20. RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
    NeurIPS 2025 ·
    Zhiqiang Kou
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  21. Redefining in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
    CVPR 2025 ·
    Fu Feng
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  22. Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
    NeurIPS 2025 ·
    Congyu Qiao
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  23. Selective Label Enhancement Learning for Test-Time Adaptation
    ICLR 2025 ·
    Yihao Hu
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  24. SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
    NeurIPS 2025 ·
    Xiaofeng Tan
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  25. VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
    UAI 2025 ·
    Jie Wang
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  26. WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
    CVPR 2025 ·
    Fu Feng
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  27. Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
    ICML 2024 ·
    Ning Xu
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  28. Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
    NeurIPS 2024 ·
    Miaosen Zhang
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  29. Building Variable-Sized Models via Learngene Pool
    AAAI 2024 ·
    Boyu Shi
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  30. Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
    NeurIPS 2024 ·
    Qiufeng Wang
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  31. Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
    ICML 2024 ·
    Biao Liu
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  32. Exploiting Multi-Label Correlation in Label Distribution Learning
    IJCAI 2024 ·
    Zhiqiang Kou
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  33. Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
    IJCAI 2024 ·
    Shiyu Xia
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  34. Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
    NeurIPS 2024 ·
    Shiyu Xia
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  35. LIVE: Learnable In-Context Vector for Visual Question Answering
    NeurIPS 2024 ·
    Yingzhe Peng
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  36. Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
    ICML 2024 ·
    Yangfan Liu
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  37. Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
    NeurIPS 2024 ·
    Shuxia Lin
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  38. See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles
    CHI 2024 ·
    Yu Zhang
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  39. Transformer as Linear Expansion of Learngene
    AAAI 2024 ·
    Shiyu Xia
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  40. ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
    ICML 2024 ·
    Congyu Qiao
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  41. Vision Transformers as Probabilistic Expansion from Learngene
    ICML 2024 ·
    Qiufeng Wang
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  42. What Makes Partial-Label Learning Algorithms Effective?
    NeurIPS 2024 ·
    Jiaqi Lv
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