Full Publications

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202615 publications
  1. Jianping Zhou, Bin Lu*, Haoyang Yue, Yimian Hu, Gu Tang, Ze Zhao, Zijun Di, Xinbing Wang
    Quality Heterogeneity Matters: Adaptive Harmonization for Multi-Sensor Time Series Forecasting
    35th ACM International Conference on Information and Knowledge Management (CIKM), Rome, Italy, November 2026.
  2. Christopher P. Atkinson, Brian Beckley, Brendan R. Carter, Ivona Cetinić, Duo Chan, Lijing Cheng, Catia M. Domingues, Shenfu Dong, Juan Du, Shane Elipot, Richard A. Feely, Bryan A. Franz, Yao Fu, Meng Gao, Hernan Garcia, Garrett Graham, Benjamin D. Hamlington, Mingyu Han, Will Hobbs, Zeng-Zhen Hu, Boyin Huang, Takamitsu Ito, Annika Jersild, Svetlana Jevrejeva, Gregory C. Johnson, Rachel E. Killick, Felix W. Landerer, Peter Landschützer, Matthieu Le Hénaff, Eric Leuliette, Ricardo Locarnini, M. Susan Lozier, Bin Lu, John M. Lyman, Shoshiro Minobe, Alexey Mishonov, Gary T. Mitchum, Masatoshi Miyamoto, Ben I. Moat, Didier P. Monselesan, Gian G. Navarra, R. Steven Nerem, Renellys C. Perez, Tyllis Petit, James Reagan, Christopher J. Roach, Abhishek Savita, Robert W. Schlegel, Jonathan D. Sharp, David A. Smeed, Paul W. Stackhouse, Jacob M. Steinberg, William Sweet, Philip R. Thompson, Joaquin Trinanes, Franz Philip Tuchen, Denis L. Volkov, Zhankun Wang, Rik Wanninkhof, Robert A. Weller, Toby K. Westberry, Matthew J. Widlansky, Susan E. Wijffels, Joshua K. Willis, Yi Xin, Xungang Yin, Lisan Yu, Yuntao Zhou (Authors listed alphabetically.)
    State of the Climate in 2025 - Global Oceans
    Bulletin of the American Meteorological Society (BAMS), 107(8), S169–S228, 2026.
  3. Zhaokun Wang, Bin Lu*, Yi Xin, Takamitsu Ito, Lei Zhou, Lijing Cheng, Yuanlong Li, Xinbing Wang, Meng Jin
    Jingwei-Nutrients: a global spatiotemporal reconstruction of ocean nutrients (1965–2023) using multi-task deep learning
    Earth System Science Data (ESSD) 2026.
  4. Bin Lu, Jingjing Shen, Ze Zhao, Jianping Zhou, Haonan Qi, Luyu Han, Xiaoying Gan, Meng Jin, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    OceanVerse: Evaluable 4D Ocean Element Reconstruction Dataset under Realistic Sparsity
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Jeju, Korea, August 2026.
  5. Bin Lu, Luyu Han, Ze Zhao, Jingjing Shen, Haonan Qi, Xiaoying Gan, Lei Zhou, Meng Jin, Lixin Qu, Yuntao Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang
    Hybrid Graph Learning Reconstructs Global Ocean Oxygen Spatiotemporal Changes
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Jeju, Korea, August 2026.
  6. Yiming Liu, Bin Lu*, Meng Jin, Ziyuan Sang, Shuo Jiang, Lei Zhou, Xinbing Wang, Chenghu Zhou, Jing Zhang
    Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Jeju, Korea, August 2026.
  7. Haonan Qi, Bin Lu*, Yimian Hu, Ze Zhao, Meng Jin, Lixin Qu, Shuai Li, Shizhen Zhao, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou
    From Surface to Depth: Diagnosing Ocean Vertical Velocity with 3D Frequency Operator
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Jeju, Korea, August 2026.
    🏆 KDD 2026 Runner Up for Best Paper Award · AI for Science Track
  8. Xu Bai, Bin Lu*, Kun Zhang, Shengbo Chen, Xinbing Wang, Chenghu Zhou, Meng Jin
    Rethinking Efficient Graph Coarsening via a Non-Selfishness Principle
    International Conference on Machine Learning (ICML), 2026. (CCF-A)
  9. Yiming Liu, Bin Lu*, Xinbing Wang, Chenghu Zhou, Meng Jin
    Slash the Sink: Sharpening Structural Attention Inside LLMs
    International Conference on Machine Learning (ICML), 2026. (CCF-A)
  10. Jingyao Wu, Bin Lu*, Zijun Di, Xiaoying Gan, Meng Jin, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    One LLM Token for Explicit Graph Structural Understanding
    International Conference on Learning Representations (ICLR), 2026. (CCF-A)
  11. Ze Zhao, Yuhui He, Lyuwen Wu, Gu Tang, Bin Lu, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities
    International Conference on Learning Representations (ICLR), 2026. (CCF-A)
  12. Jianping Zhou, Weida Wang, Bin Lu, Guanjie Zheng, Lei Bai, Xinbing Wang, Chenghu Zhou
    TRACK: Temporal Decoupled Kriging for Inductive Spatio-temporal Graph
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026. (CCF-A)
  13. 卢彬，甘小莺，甘雨，唐顾，马婷晏，吴律文，赵泽，傅洛伊，金梦，王新兵，周成虎
    面向开放互联网的科学数据挖掘与理解
    《计算机学报》, 2026.
  14. Juan Du, Lijing Cheng, Takamitsu Ito, Hernan E. Garcia, Zhankun Wang, Jonathan D. Sharp, Christopher J. Roach, Shoshiro Minobe, Yuntao Zhou, Bin Lu, Gian Giacomo Navarra, Seth M. Bushinsky
    Climatology and annual cycle of global ocean dissolved oxygen represented by multiple observational gridded products
    Ocean Science, 2026.
  15. Yimian Hu, Jianping Zhou, Bin Lu, Guanjie Zheng, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    HEADS: Temporal Observation Density Boosts Irregular Multivariate Time Series Forecasting
    International Conference on Database Systems for Advanced Applications (DASFAA), 2026.
202510 publications
  1. Xingyu Zhao, Jianpeng Qi, Bin Lu, Lei Zhou, Lei Cao, Junyu Dong, Yanwei Yu
    ST-Imputer: Multivariate Dependency-aware Diffusion Network with Physics Guidance for Spatiotemporal Imputation
    Information Fusion, 2025.
  2. Takamitsu Ito, Hernan Eduardo Garcia, Zhankun Wang, Lijing Cheng, Juan Du, Christopher John Roach, Yuntao Zhou, Jonathan Sharp, Siv K. Lauvset, Shoshiro Minobe, Seth M. Bushinsky, Bin Lu, Giangiacomo Navarra
    Assessing the Observational Uncertainties of Dissolved Oxygen Climatology and Seasonal Cycle through a Coordinated Intercomparison Project
    Global Biogeochemical Cycles, 2025.
  3. Tingyan Ma, Bin Lu, Ze Zhao, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    PromptEG: Scalable Prompt-based Temporal Generalization on Evolving Graphs
    IEEE International Conference on Data Mining (ICDM), 2025.
    🏆 ICDM Best Paper Finalist
  4. Zijun Di, Peng Zheng, Bin Lu, Kai Guan, Luoyi Fu, Ningdi Jin, Ye Chen, Xiaoying Gan, Lei Zhou, Xinbing Wang, Chenghu Zhou
    Graph Out-of-Distribution Generalization Based on Structural Entropy Guided Information Bottleneck
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2025.
  5. Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
    MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2025.
  6. Gu Tang, Jinghe Wang, Xiaoying Gan, Bin Lu, Ze Zhao, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    R2MR: Review and Rewrite Modality for Recommendation
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Toronto, ON, Canada, August 2025.
  7. Haoyan Fu, Zhida Qin, Shixiao Yang, Haoyao Zhang, Bin Lu, Shuang Li, Tianyu Huang, John C. S. Lui
    Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Toronto, ON, Canada, August 2025.
  8. Gu Tang, Xiaoying Gan, Jinghe Wang, Bin Lu, Lyuwen Wu, Luoyi Fu, Chenghu Zhou
    EditKG: Editing Knowledge Graph for Recommendation
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Washington DC, August 2025.
  9. Ze Zhao, Bin Lu, Xiaoying Gan, Gu Tang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    CHAINSFORMER: Numerical Reasoning on Knowledge Graphs from a Chain Perspective
    IEEE International Conference on Data Engineering (ICDE), Hong Kong, China, May 2025.
  10. Jingjing Shen, Bin Lu, Lei Zhou, Xiaoying Gan
    Reconstruction of dissolved oxygen in the Tropical Pacific Ocean for past 100 years based on XGBoost
    Acta Oceanologica Sinica, 2025.
20244 publications
  1. Tingyan Ma, Wei Liu, Bin Lu, Xiaoying Gan, Yunqiang Zhu, Luoyi Fu, Chenghu Zhou
    AutoFAIR: Automatic Data FAIRification via Machine Reading
    13th International Workshop on Quality in Databases at the 50th VLDB conference (VLDB QDB Workshop), Guangzhou, China, August 2024.
  2. Bin Lu, Ze Zhao, Luyu Han, Xiaoying Gan, Yuntao Zhou, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang
    OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
    International Conference on Machine Learning (ICML), Vienna, Austria, July 2024.
  3. Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
    Temporal Generalization Estimation in Evolving Graphs
    International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024.
  4. Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
    Graph Out-of-Distribution Generalization with Controllable Data Augmentation
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
20232 publications
  1. Lina Yang, Bin Lu, Xiaoying Gan
    Graph Open-Set Recognition via Entropy Message Passing
    IEEE International Conference on Data Mining (ICDM), Shanghai, China, December 2023.
  2. Bin Lu, Lynwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Xinbing Wang, Chenghu Zhou
    DataExpo: A One-stop Dataset Service for Open Science Research
    International World Wide Web Conference (WWW), Austin, Texas, USA, April 2023.
20223 publications
  1. Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang
    Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, August 2022.
  2. Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang
    Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, August 2022.
  3. Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Xinbing Wang, Haisong Zhang
    Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network
    ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 13, no. 2, pp. 1–25, April 2022.
20201 publications
  1. Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang
    Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
    ACM International Conference on Information and Knowledge Management (CIKM), Ireland, October 2020.