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Jingchao Ni

7 papers at tracked venues · 6 at CORE A* · active 2024–2026

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Venues

AAAI ×2ACL ×1ICML ×1IJCAI ×1NeurIPS ×1SIGKDD ×1

Frequent coauthors

Dongsheng Luo
×4
Haifeng Chen
×4
ChengAo Shen
×3
Dongjin Song
×3
Zhuomin Chen
×2
Ziming Zhao
×2
Wei Cheng
×2
Wenchao Yu
×2
Hojat Allah Salehi
×1
Xu Zheng
×1
Esteban Schafir
×1
Farhad Shirani
×1

Papers

  1. Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models
    AAAI 2026 · Jingchao Ni
  2. Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
    AAAI 2026 ·
    Zhuomin Chen
    , Jingchao Ni,
    Hojat Allah Salehi
    ,
    Xu Zheng
    ,
    Esteban Schafir
    ,
    Farhad Shirani
    ,
    Dongsheng Luo
  3. Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
    ACL 2025 ·
    ChengAo Shen
    ,
    Zhengzhang Chen
    ,
    Dongsheng Luo
    ,
    Dongkuan Xu
    ,
    Haifeng Chen
    , Jingchao Ni
  4. Harnessing Vision Models for Time Series Analysis: A Survey
    IJCAI 2025 · Jingchao Ni,
    Ziming Zhao
    ,
    ChengAo Shen
    ,
    Hanghang Tong
    ,
    Dongjin Song
    ,
    Wei Cheng
    ,
    Dongsheng Luo
    ,
    Haifeng Chen
  5. Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
    NeurIPS 2025 ·
    ChengAo Shen
    ,
    Wenchao Yu
    ,
    Ziming Zhao
    ,
    Dongjin Song
    ,
    Wei Cheng
    ,
    Haifeng Chen
    , Jingchao Ni
  6. Multi-modal Time Series Analysis: A Tutorial and Survey
    SIGKDD 2025 ·
    Yushan Jiang
    ,
    Kanghui Ning
    ,
    Zijie Pan
    ,
    Xuyang Shen
    , Jingchao Ni,
    Wenchao Yu
    ,
    Anderson Schneider
    ,
    Haifeng Chen
    ,
    Yuriy Nevmyvaka
    ,
    Dongjin Song
  7. Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
    ICML 2024 ·
    Zhuomin Chen
    ,
    Jiaxing Zhang
    , Jingchao Ni,
    Xiaoting Li
    ,
    Yuchen Bian
    ,
    Md Mezbahul Islam
    ,
    Ananda Mondal
    ,
    Hua Wei
    ,
    Dongsheng Luo