PPaperPicks

Runlong Yu

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

Venues

Frequent coauthors

Xiaowei Jia
×9
Yiqun Xie
×8
Chonghao Qiu
×4
Robert Ladwig
×4
Paul C. Hanson
×4
Yuyang Ye
×3
Shiyuan Luo
×2
Zihui Ma
×2
Lingyao Li
×2
Kai Zhang
×2
Yiming Sun
×2
Peijun Zhu
×2

Papers

  1. GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
    AAAI 2026 ·
    Shiyuan Luo
    ,
    Chonghao Qiu
    , Runlong Yu,
    Yiqun Xie
    ,
    Xiaowei Jia
  2. LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
    AAAI 2026 ·
    Naiyi Li
    ,
    Zihui Ma
    , Runlong Yu,
    Lingyao Li
  3. Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness
    IJCAI 2025 ·
    Mingzheng Yang
    ,
    Kai Zhang
    ,
    Yuyang Ye
    ,
    Yanghai Zhang
    , Runlong Yu,
    Min Hou
  4. Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems
    SDM 2025 ·
    Yiming Sun
    , Runlong Yu,
    Runxue Bao
    ,
    Yiqun Xie
    ,
    Ye Ye
    ,
    Xiaowei Jia
  5. Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
    AAAI 2025 ·
    Yuyang Ye
    ,
    Zhi Zheng
    ,
    Yishan Shen
    ,
    Tianshu Wang
    ,
    Hengruo Zhang
    ,
    Peijun Zhu
    , Runlong Yu,
    Kai Zhang
    ,
    Hui Xiong
  6. LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment
    EMNLP 2025 ·
    Lingyao Li
    ,
    Dawei Li
    ,
    Zhenhui Ou
    ,
    Xiaoran Xu
    ,
    Jingxiao Liu
    ,
    Zihui Ma
    , Runlong Yu,
    Min Deng
  7. Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework
    ICDM 2025 ·
    Shiyuan Luo
    , Runlong Yu,
    Chonghao Qiu
    ,
    Rahul Ghosh
    ,
    Robert Ladwig
    ,
    Paul C. Hanson
    ,
    Yiqun Xie
    ,
    Xiaowei Jia
  8. Multi-Scale Graph Learning for Anti-Sparse Downscaling
    AAAI 2025 ·
    Yingda Fan
    , Runlong Yu,
    Janet R. Barclay
    ,
    Alison P. Appling
    ,
    Yiming Sun
    ,
    Yiqun Xie
    ,
    Xiaowei Jia
  9. Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
    SIGKDD 2025 ·
    Xiang Xu
    ,
    Hao Wang
    ,
    Wei Guo
    ,
    Luankang Zhang
    ,
    Wanshan Yang
    , Runlong Yu,
    Yong Liu
    ,
    Defu Lian
    ,
    Enhong Chen
  10. Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
    AAAI 2025 · Runlong Yu,
    Chonghao Qiu
    ,
    Robert Ladwig
    ,
    Paul C. Hanson
    ,
    Yiqun Xie
    ,
    Xiaowei Jia
  11. ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control
    WSDM 2025 ·
    Yin Gu
    ,
    Kai Zhang
    ,
    Qi Liu
    , Runlong Yu,
    Xin Lin
    ,
    Xinjie Sun
  12. Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis
    ICDM 2025 · Runlong Yu,
    Xiaowei Jia
  13. What We Talk About When We Talk About AI for Science
    SDM 2025 · Runlong Yu,
    Yiqun Xie
    ,
    Xiaowei Jia
  14. Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
    ICDM 2024 · Runlong Yu,
    Chonghao Qiu
    ,
    Robert Ladwig
    ,
    Paul C. Hanson
    ,
    Yiqun Xie
    ,
    Yanhua Li
    ,
    Xiaowei Jia
  15. Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
    PPSN 2024 · Runlong Yu,
    Robert Ladwig
    ,
    Xiang Xu
    ,
    Peijun Zhu
    ,
    Paul C. Hanson
    ,
    Yiqun Xie
    ,
    Xiaowei Jia
  16. PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
    SIGKDD 2024 ·
    Yuyang Ye
    ,
    Lu-An Tang
    ,
    Haoyu Wang
    , Runlong Yu,
    Wenchao Yu
    ,
    Erhu He
    ,
    Haifeng Chen
    ,
    Hui Xiong