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Xikun ZHANG
Xikun ZHANG
在 uni.sydney.edu.au 的电子邮件经过验证
标题
引用次数
引用次数
年份
Graph edge convolutional neural networks for skeleton-based action recognition
X Zhang, C Xu, X Tian, D Tao
IEEE transactions on neural networks and learning systems 31 (8), 3047-3060, 2019
1842019
Context aware graph convolution for skeleton-based action recognition
X Zhang, C Xu, D Tao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1782020
Cglb: Benchmark tasks for continual graph learning
X Zhang, D Song, D Tao
Advances in Neural Information Processing Systems 35, 13006-13021, 2022
332022
Hierarchical prototype networks for continual graph representation learning
X Zhang, D Song, D Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4622-4636, 2022
322022
Gait phase classification for a lower limb exoskeleton system based on a graph convolutional network model
X Wu, Y Yuan, X Zhang, C Wang, T Xu, D Tao
IEEE Transactions on Industrial Electronics 69 (5), 4999-5008, 2021
302021
Sparsified subgraph memory for continual graph representation learning
X Zhang, D Song, D Tao
2022 IEEE International Conference on Data Mining (ICDM), 1335-1340, 2022
122022
Ricci curvature-based graph sparsification for continual graph representation learning
X Zhang, D Song, D Tao
IEEE Transactions on Neural Networks and Learning Systems, 2023
102023
Empowering time series analysis with large language models: A survey
Y Jiang, Z Pan, X Zhang, S Garg, A Schneider, Y Nevmyvaka, D Song
arXiv preprint arXiv:2402.03182, 2024
92024
On dropping clusters to regularize graph convolutional neural networks
X Zhang, C Xu, D Tao
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
42020
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
X Zhang, D Song, D Tao
arXiv preprint arXiv:2402.11565, 2024
2024
Topology-aware Embedding Memory for Learning on Expanding Graphs
X Zhang, D Song, Y Chen, D Tao
arXiv preprint arXiv:2401.13200, 2024
2024
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