Hourun Li

According to our database, Hourun Li authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.

Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers.

Yusheng Zhao, Hourun Li, Bohan Wu, Jingyang Yuan, Meng Zhang, Yichun Yin, Lifeng Shang, Ming Zhang

CoRR, March, 2026

Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.

Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang

Proceedings of the ACM Web Conference 2026, 2026

2025

ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrieval.

Mingxu Tao, Bowen Tang, Mingxuan Ma, Yining Zhang, Hourun Li, Feifan Wen, Hao Ma, Jia Yang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.

Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo

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

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.

Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju

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

2024

Data-Aware Adaptive Compression for Stream Processing.

Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoguang Guo, Yuxing Chen, Anqun Pan, Xiaoyong Du

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

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang

CoRR, 2024

2023

CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression.

Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoyong Du

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification.

Zaifeng Pan, Feng Zhang, Hourun Li, Chenyang Zhang, Xiaoyong Du, Dong Deng

IEEE Trans. Parallel Distributed Syst., 2022

Exploring Query Processing on CPU-GPU Integrated Edge Device.

Jiesong Liu, Feng Zhang, Hourun Li, Dalin Wang, Weitao Wan, Xiaokun Fang, Jidong Zhai, Xiaoyong Du

IEEE Trans. Parallel Distributed Syst., 2022

2021

FineQuery: Fine-Grained Query Processing on CPU-GPU Integrated Architectures.

Dalin Wang, Feng Zhang, Weitao Wan, Hourun Li, Xiaoyong Du

Proceedings of the IEEE International Conference on Cluster Computing, 2021