Yu Wang

According to our database, Yu Wang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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