Zulun Zhu

According to our database, Zulun Zhu authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

Graph-Based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey.

Zulun Zhu, Tiancheng Huang, Kai Wang, Junda Ye, Xinghe Chen, Siqiang Luo

ACM Comput. Surv., July, 2026

Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction.

Zulun Zhu, Siqiang Luo

CoRR, February, 2026

2025

Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization.

Zulun Zhu, Haoyu Liu, Mengke He, Siqiang Luo

CoRR, October, 2025

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness.

Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan

Proc. ACM Manag. Data, 2025

2024

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective.

Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen

CoRR, 2024

Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency.

Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan

CoRR, 2024

Topology-monitorable Contrastive Learning on Dynamic Graphs.

Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Massively Parallel Single-Source SimRanks in O(log N) Rounds.

Siqiang Luo, Zulun Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.

Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.

Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks.

Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation.

Yuansheng Wang, Wangbin Sun, Kun Xu, Zulun Zhu, Liang Chen, Zibin Zheng

CoRR, 2022

Spiking Graph Convolutional Networks.

Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2018

Loop Detection and Correction of 3D Laser-Based SLAM with Visual Information.

Zulun Zhu, Shaowu Yang, Huadong Dai, Fu Li

Proceedings of the 31st International Conference on Computer Animation and Social Agents, 2018

Enhanced Visual Loop Closing for Laser-Based SLAM.

Zulun Zhu, Shaowu Yang, Huadong Dai

Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018