Enhanced Visual Loop Closing for Laser-Based SLAM. - Zulun Zhu; Shaowu Yang; Huadong Dai (ASAP, 2018)

Loop Detection and Correction of 3D Laser-Based SLAM with Visual Information. - Zulun Zhu; Shaowu Yang; Huadong Dai; Fu Li (CASA, 2018)

Spiking Graph Convolutional Networks. - Zulun Zhu; Jiaying Peng; Jintang Li; Liang Chen 001; Qi Yu 001; Siqiang Luo (IJCAI, 2022)

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. - Yuansheng Wang; Wangbin Sun; Kun Xu; Zulun Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2022)

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. - Jintang Li; Zhouxin Yu; Zulun Zhu; Liang Chen 001; Qi Yu 001; Zibin Zheng; Sheng Tian; Ruofan Wu; Changhua Meng (AAAI, 2023)

Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. - Zulun Zhu; Siqiang Luo; Wenqing Lin; Sibo Wang 001; Dingheng Mo; Chunbo Li (ICDE, 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 001 (ICLR, 2024)

Massively Parallel Single-Source SimRanks in O(log N) Rounds. - Siqiang Luo; Zulun Zhu (IJCAI, 2024)

Topology-monitorable Contrastive Learning on Dynamic Graphs. - Zulun Zhu; Kai Wang 057; Haoyu Liu; Jintang Li; Siqiang Luo (KDD, 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)

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 001 (CoRR, 2024)

Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey. - Zulun Zhu; Tiancheng Huang; Kai Wang 057; Junda Ye; Xinghe Chen; Siqiang Luo (CoRR, 2025)