PPaperPicks

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

Venues

Frequent coauthors

Xu Yang
×17
Jing Wang
×10
Ning Xu
×10
Shiyu Xia
×8
Fu Feng
×7
Yucheng Xie
×6
Qiufeng Wang
×5
Miaosen Zhang
×4
Zhiqiang Kou
×4
Congyu Qiao
×4
Yihao Hu
×4
Shuxia Lin
×3

Papers

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