PPaperPicks

Ximing Li

Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin, China

31 papers at tracked venues · 24 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8190-5087 ↗Homepage ↗

Venues

AAAI ×8IJCAI ×4NeurIPS ×4WWW ×4CIKM ×3ACM MM ×2ICML ×2ACL ×1CVPR ×1SIGIR ×1SIGKDD ×1

Frequent coauthors

Changchun Li
×14
Renchu Guan
×14
Bing Wang
×12
Fausto Giunchiglia
×8
Xiaoyue Feng
×8
Yonghao Liu
×7
Yuanchao Dai
×6
Shengsheng Wang
×5
Lan Huang
×5
Jianfeng Qu
×4
Lin Yuanbo Wu
×3
Mengyu Li
×3

Papers

  1. Denoising Mixup for Regression
    AAAI 2026 ·
    Zhengzhang Hou
    ,
    Zhanshan Li
    ,
    Yanbo Liu
    ,
    Geoff Nitschke
    ,
    You Lu
    , Ximing Li
  2. Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
    AAAI 2026 ·
    Bing Wang
    , Ximing Li,
    Yanjun Wang
    ,
    Changchun Li
    ,
    Lin Yuanbo Wu
    ,
    Buyu Wang
    ,
    Shengsheng Wang
  3. On the Step Length Confounding in LLM Reasoning Data Selection
    ACL 2026 ·
    Bing Wang
    ,
    Rui Miao
    ,
    Chen Shen
    ,
    Shaotian Yan
    ,
    Kaiyuan Liu
    , Ximing Li,
    Xiaosong Yuan
    ,
    Sinan Fan
    ,
    Jun Zhang
    ,
    Jieping Ye
  4. SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction
    AAAI 2026 ·
    Yiming Zhang
    ,
    Baojia Han
    , Ximing Li,
    Wei Pang
    ,
    Fausto Giunchiglia
    ,
    Xiaoyue Feng
    ,
    Renchu Guan
  5. Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples
    AAAI 2026 · Ximing Li,
    Jiaxuan Jiang
    ,
    Changchun Li
    ,
    You Lu
    ,
    Renchu Guan
  6. Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
    WWW 2026 ·
    Mengyu Li
    ,
    Yonghao Liu
    ,
    Fausto Giunchiglia
    , Ximing Li,
    Xiaoyue Feng
    ,
    Renchu Guan
  7. Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free
    WWW 2026 ·
    Peng Liu
    ,
    Peng-Fei Zhang
    ,
    Jianfeng Qu
    , Ximing Li,
    Zhixu Li
    ,
    Pengpeng Zhao
  8. A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
    NeurIPS 2025 ·
    Yuanchao Dai
    ,
    Zhengzhang Hou
    ,
    Changchun Li
    ,
    Yuanbo Xu
    ,
    En Wang
    , Ximing Li
  9. A Simple Graph Contrastive Learning Framework for Short Text Classification
    AAAI 2025 ·
    Yonghao Liu
    ,
    Fausto Giunchiglia
    ,
    Lan Huang
    , Ximing Li,
    Xiaoyue Feng
    ,
    Renchu Guan
  10. Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
    NeurIPS 2025 · Ximing Li,
    Yuanchao Dai
    ,
    Bing Wang
    ,
    Changchun Li
    ,
    Jianfeng Qu
    ,
    Renchu Guan
  11. Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator
    SIGIR 2025 ·
    Bing Wang
    ,
    Bingrui Zhao
    , Ximing Li,
    Changchun Li
    ,
    Wanfu Gao
    ,
    Shengsheng Wang
  12. Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
    ICML 2025 ·
    Yuanchao Dai
    , Ximing Li,
    Changchun Li
  13. Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
    WWW 2025 ·
    Yonghao Liu
    ,
    Mengyu Li
    ,
    Fausto Giunchiglia
    ,
    Lan Huang
    , Ximing Li,
    Xiaoyue Feng
    ,
    Renchu Guan
  14. Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
    SIGKDD 2025 ·
    Yonghao Liu
    ,
    Fausto Giunchiglia
    , Ximing Li,
    Lan Huang
    ,
    Xiaoyue Feng
    ,
    Renchu Guan
  15. Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
    CVPR 2025 ·
    Tianhao Ma
    ,
    Han Chen
    ,
    Juncheng Hu
    ,
    Yungang Zhu
    , Ximing Li
  16. Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
    NeurIPS 2025 ·
    Yonghao Liu
    ,
    Yajun Wang
    ,
    Chunli Guo
    ,
    Wei Pang
    , Ximing Li,
    Fausto Giunchiglia
    ,
    Xiaoyue Feng
    ,
    Renchu Guan
  17. Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors
    ACM MM 2025 ·
    Bing Wang
    , Ximing Li,
    Mengzhe Ye
    ,
    Changchun Li
    ,
    Bo Fu
    ,
    Jianfeng Qu
    ,
    Lin Yuanbo Wu
  18. Robust Misinformation Detection by Visiting Potential Commonsense Conflict
    IJCAI 2025 ·
    Bing Wang
    , Ximing Li,
    Changchun Li
    ,
    Bingrui Zhao
    ,
    Bo Fu
    ,
    Renchu Guan
    ,
    Shengsheng Wang
  19. Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
    AAAI 2025 · Ximing Li,
    Yuanchao Dai
    ,
    Zhiyao Yang
    ,
    Jinjin Chi
    ,
    Wanfu Gao
    ,
    Lin Yuanbo Wu
  20. Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
    CIKM 2025 ·
    Bing Wang
    , Ximing Li,
    Yiming Wang
    ,
    Changchun Li
    ,
    Jiaxu Cui
    ,
    Renchu Guan
    ,
    Bo Yang
  21. Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance
    CIKM 2025 ·
    Kaiyu Wang
    ,
    Lin Mu
    ,
    Zhiyao Yang
    , Ximing Li,
    Xiaotang Zhou
    ,
    Wanfu Gao
    ,
    Huimao Zhang
  22. A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification
    WWW 2024 ·
    Yonghao Liu
    ,
    Lan Huang
    ,
    Bowen Cao
    , Ximing Li,
    Fausto Giunchiglia
    ,
    Xiaoyue Feng
    ,
    Renchu Guan
  23. Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
    AAAI 2024 ·
    Jihong Ouyang
    ,
    Zhiyao Yang
    ,
    Silong Liang
    ,
    Bing Wang
    ,
    Yimeng Wang
    , Ximing Li
  24. Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
    ACM MM 2024 ·
    Bing Wang
    ,
    Shengsheng Wang
    ,
    Changchun Li
    ,
    Renchu Guan
    , Ximing Li
  25. Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
    AAAI 2024 ·
    Jiaan Wang
    ,
    Jianfeng Qu
    ,
    Kexin Wang
    ,
    Zhixu Li
    ,
    Wen Hua
    , Ximing Li,
    An Liu
  26. Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem
    IJCAI 2024 ·
    Rui Sun
    ,
    Yiyuan Wang
    ,
    Shimao Wang
    ,
    Hui Li
    , Ximing Li,
    Minghao Yin
  27. Positive and Unlabeled Learning with Controlled Probability Boundary Fence
    ICML 2024 ·
    Changchun Li
    ,
    Yuanchao Dai
    ,
    Lei Feng
    , Ximing Li,
    Bing Wang
    ,
    Jihong Ouyang
  28. Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
    IJCAI 2024 ·
    Yonghao Liu
    ,
    Mengyu Li
    ,
    Di Liang
    , Ximing Li,
    Fausto Giunchiglia
    ,
    Lan Huang
    ,
    Xiaoyue Feng
    ,
    Renchu Guan
  29. Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
    NeurIPS 2024 · Ximing Li,
    Silong Liang
    ,
    Changchun Li
    ,
    Pengfei Wang
    ,
    Fangming Gu
  30. WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
    IJCAI 2024 · Ximing Li,
    Yuanchao Dai
    ,
    Bing Wang
    ,
    Changchun Li
    ,
    Renchu Guan
    ,
    Fangming Gu
    ,
    Jihong Ouyang
  31. Why Misinformation is Created? Detecting them by Integrating Intent Features
    CIKM 2024 ·
    Bing Wang
    , Ximing Li,
    Changchun Li
    ,
    Bo Fu
    ,
    Songwen Pei
    ,
    Shengsheng Wang