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Kunlun He

12 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

ICCV ×3ACM MM ×2NeurIPS ×2AAAI ×1ACL ×1ICLR ×1ICML ×1SIGKDD ×1

Frequent coauthors

Xinwang Liu
×6
En Zhu
×5
Siwei Wang
×4
Tingxiong Xiao
×3
Jinli Suo
×3
Suyuan Liu
×3
Zongren Li
×2
Jiaqi Jin
×2
Zhibin Dong
×2
Xihong Yang
×2
Fangdi Wang
×2
Tianrui Liu
×2

Papers

  1. EchoMLLM: Incentivizing Echocardiographic Video Understanding with Keyframe Grounding and Report Generation
    ACL 2026 ·
    Heyu Huang
    ,
    Wanran Sun
    ,
    Chi Chen
    ,
    Bo Chen
    ,
    Zonghao Guo
    ,
    Yuhua Li
    ,
    Ruixuan Li
    , Kunlun He,
    Maosong Sun
  2. DVI: A Derivative-based Vision Network for INR
    ICML 2025 ·
    Runzhao Yang
    ,
    Xiaolong Wu
    ,
    Zhihong Zhang
    ,
    Fabian Zhang
    ,
    Tingxiong Xiao
    ,
    Zongren Li
    , Kunlun He,
    Jinli Suo
  3. Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance
    ICCV 2025 ·
    Jiaqi Jin
    ,
    Siwei Wang
    ,
    Zhibin Dong
    ,
    Xihong Yang
    ,
    Xinwang Liu
    ,
    En Zhu
    , Kunlun He
  4. Generalized Deep Multi-View Clustering Via Causal Learning With Partially Aligned Cross-View Correspondence
    ICCV 2025 ·
    Xihong Yang
    ,
    Siwei Wang
    ,
    Jiaqi Jin
    ,
    Fangdi Wang
    ,
    Tianrui Liu
    ,
    Yueming Jin
    ,
    Xinwang Liu
    ,
    En Zhu
    , Kunlun He
  5. Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
    ICCV 2025 ·
    Xinhang Wan
    ,
    Jiyuan Liu
    ,
    Qian Qu
    ,
    Suyuan Liu
    ,
    Chuyu Zhang
    ,
    Fangdi Wang
    ,
    Xinwang Liu
    ,
    En Zhu
    , Kunlun He
  6. Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering
    ACM MM 2025 ·
    Junpu Zhang
    ,
    Shengju Yu
    ,
    Suyuan Liu
    ,
    Siwei Wang
    ,
    Miaomiao Li
    ,
    Xinwang Liu
    ,
    En Zhu
    , Kunlun He
  7. SALVG: Latent Variable Gene Augmented Graph Learning for Multi-View Clustering in Spatial Transcriptomics
    ACM MM 2025 ·
    Zeyu Zhu
    ,
    Ke Liang
    ,
    Lingyuan Meng
    ,
    Xingchen Hu
    ,
    Xinwang Liu
    ,
    Wanwei Liu
    , Kunlun He
  8. Towards Pre-trained Graph Condensation via Optimal Transport
    NeurIPS 2025 ·
    Yeyu Yan
    ,
    Shuai Zheng
    ,
    Wenjun Hui
    ,
    Xiangkai Zhu
    ,
    Dong Chen
    ,
    Zhenfeng Zhu
    ,
    Yao Zhao
    , Kunlun He
  9. Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
    NeurIPS 2024 ·
    Suyuan Liu
    ,
    Siwei Wang
    ,
    Ke Liang
    ,
    Junpu Zhang
    ,
    Zhibin Dong
    ,
    Tianrui Liu
    ,
    En Zhu
    ,
    Xinwang Liu
    , Kunlun He
  10. CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
    AAAI 2024 ·
    Yuxiao Cheng
    ,
    Lianglong Li
    ,
    Tingxiong Xiao
    ,
    Zongren Li
    ,
    Jinli Suo
    , Kunlun He,
    Qionghai Dai
  11. CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
    ICLR 2024 ·
    Yuxiao Cheng
    ,
    Ziqian Wang
    ,
    Tingxiong Xiao
    ,
    Qin Zhong
    ,
    Jinli Suo
    , Kunlun He
  12. FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
    SIGKDD 2024 ·
    Muhao Xu
    ,
    Zhenfeng Zhu
    ,
    Youru Li
    ,
    Shuai Zheng
    ,
    Yawei Zhao
    , Kunlun He,
    Yao Zhao