Bin Lu

According to our database, Bin Lu authored at least 23 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

TRACK: Temporal Decoupled Kriging for Inductive Spatio-Temporal Graph.

Jianping Zhou, Weida Wang, Bin Lu, Guanjie Zheng, Lei Bai, Xinbing Wang, Chenghu Zhou

IEEE Trans. Knowl. Data Eng., June, 2026

Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities.

Ze Zhao, Yuhui He, Lyuwen Wu, Gu Tang, Bin Lu, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou

CoRR, April, 2026

: One LLM Token for Explicit Graph Structural Understanding.

Jingyao Wu, Bin Lu, Zijun Di, Xiaoying Gan, Meng Jin, Luoyi Fu, Xinbing Wang, Chenghu Zhou

CoRR, February, 2026

Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck.

Zijun Di, Peng Zheng, Bin Lu, Kai Guan, Luoyi Fu, Ningdi Jin, Ye Chen, Xiaoying Gan, Lei Zhou, Xinbing Wang, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, January, 2026

Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression.

Zijun Di, Bin Lu, Huquan Kang, Luoyi Fu, Jiaxin Ding, Xiaoying Gan, Lei Zhou, Xinbing Wang, Chenghu Zhou

CoRR, January, 2026

ST-Imputer: Multivariate dependency-aware diffusion network with physics guidance for spatiotemporal imputation.

Xingyu Zhao, Jianpeng Qi, Bin Lu, Lei Zhou, Lei Cao, Junyu Dong, Yanwei Yu

Inf. Fusion, 2026

2025

MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data.

Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, August, 2025

R²MR: Review and Rewrite Modality for Recommendation.

Gu Tang, Jinghe Wang, Xiaoying Gan, Bin Lu, Ze Zhao, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs.

Haoyan Fu, Zhida Qin, Shixiao Yang, Haoyao Zhang, Bin Lu, Shuang Li, Tianyu Huang, John C. S. Lui

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

PromptEG: Scalable Prompt-Based Temporal Generalization on Evolving Graphs.

Tingyan Ma, Bin Lu, Ze Zhao, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the IEEE International Conference on Data Mining, 2025

ChainsFormer: Numerical Reasoning on Knowledge Graphs From a Chain Perspective.

Ze Zhao, Bin Lu, Xiaoying Gan, Gu Tang, Luoyi Fu, Xinbing Wang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Graph Out-of-Distribution Generalization With Controllable Data Augmentation.

Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

IEEE Trans. Knowl. Data Eng., November, 2024

AceMap: Knowledge Discovery through Academic Graph.

Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

CoRR, 2024

AutoFAIR : Automatic Data FAIRification via Machine Reading.

Tingyan Ma, Wei Liu, Bin Lu, Xiaoying Gan, Yunqiang Zhu, Luoyi Fu, Chenghu Zhou

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

EditKG: Editing Knowledge Graph for Recommendation.

Gu Tang, Xiaoying Gan, Jinghe Wang, Bin Lu, Lyuwen Wu, Luoyi Fu, Chenghu Zhou

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning.

Bin Lu, Ze Zhao, Luyu Han, Xiaoying Gan, Yuntao Zhou, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Temporal Generalization Estimation in Evolving Graphs.

Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DataExpo: A One-Stop Dataset Service for Open Science Research.

Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Graph Open-Set Recognition via Entropy Message Passing.

Lina Yang, Bin Lu, Xiaoying Gan

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network.

Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Xinbing Wang, Haisong Zhang

ACM Trans. Intell. Syst. Technol., 2022

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation.

Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer.

Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting.

Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020