Yu Wang

According to our database, Yu Wang authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning.

Yuchen Ying, Weiqi Jiang, Tongya Zheng, Yu Wang, Shunyu Liu, Kai-Xuan Chen, Mingli Song

CoRR, March, 2026

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction.

Yu Wang, Junshu Dai, Yuchen Ying, Hanyang Yuan, Zunlei Feng, Tongya Zheng, Mingli Song

Proceedings of the ACM Web Conference 2026, 2026

Neural Graph Navigation for Intelligent Subgraph Matching.

Yuchen Ying, Yiyang Dai, Wenda Li, Wenjie Huang, Rui Wang, Tongya Zheng, Yu Wang, Hanyang Yuan, Mingli Song

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning.

Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation.

Junshu Dai, Yu Wang, Tongya Zheng, Wei Ji, Qinghong Guo, Ji Cao, Jie Song, Canghong Jin, Mingli Song

CoRR, December, 2025

Towards Efficient LLM-aware Heterogeneous Graph Learning.

Wenda Li, Tongya Zheng, Shunyu Liu, Yu Wang, Kai-Xuan Chen, Hanyang Yuan, Bingde Hu, Zujie Ren, Mingli Song, Gang Chen

CoRR, November, 2025

Unifying Environment Perception and Route Choice Modeling for Trajectory Representation Learning.

Ji Cao, Yu Wang, Tongya Zheng, Zujie Ren, Canghong Jin, Gang Chen, Mingli Song

CoRR, October, 2025

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

CoRR, June, 2025

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction.

Yu Wang, Junshu Dai, Yuchen Ying, Yuxuan Liang, Tongya Zheng, Mingli Song

CoRR, May, 2025

Disentangled Condensation for Large-scale Graphs.

Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng

Proceedings of the ACM on Web Conference 2025, 2025

Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Holistic Semantic Representation for Navigational Trajectory Generation.

Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation.

Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kai-Xuan Chen, Yunzhi Hao, Mingli Song

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

Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning.

Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng, Mingli Song

Inf. Fusion, 2024

Disentangled Condensation for Large-scale Graphs.

Zhenbang Xiao, Shunyu Liu, Yu Wang, Tongya Zheng, Mingli Song

CoRR, 2024

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.

Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song

Proceedings of the ACM on Web Conference 2024, 2024

Simple Graph Condensation.

Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks.

Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Learning Dynamic Preference Structure Embedding From Temporal Networks.

Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021