Xikun Zhang

According to our database, Xikun Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Ricci Curvature-Based Graph Sparsification for Continual Graph Representation Learning.

Xikun Zhang, Dongjin Song, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Learning System Dynamics without Forgetting.

Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao

CoRR, 2024

Continual Learning on Graphs: Challenges, Solutions, and Opportunities.

Xikun Zhang, Dongjin Song, Dacheng Tao

CoRR, 2024

Topology-aware Embedding Memory for Learning on Expanding Graphs.

Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao

CoRR, 2024

Topology-aware Embedding Memory for Continual Learning on Expanding Networks.

Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao

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

Empowering Time Series Analysis with Large Language Models: A Survey.

Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

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

2023

Hierarchical Prototype Networks for Continual Graph Representation Learning.

Xikun Zhang, Dongjin Song, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Gait Phase Classification for a Lower Limb Exoskeleton System Based on a Graph Convolutional Network Model.

Xinyu Wu, Ye Yuan, Xikun Zhang, Can Wang, Tiantian Xu, Dacheng Tao

IEEE Trans. Ind. Electron., 2022

CGLB: Benchmark Tasks for Continual Graph Learning.

Xikun Zhang, Dongjin Song, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparsified Subgraph Memory for Continual Graph Representation Learning.

Xikun Zhang, Dongjin Song, Dacheng Tao

Proceedings of the IEEE International Conference on Data Mining, 2022

2020

Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition.

Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

On Dropping Clusters to Regularize Graph Convolutional Neural Networks.

Xikun Zhang, Chang Xu, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2020, 2020

Context Aware Graph Convolution for Skeleton-Based Action Recognition.

Xikun Zhang, Chang Xu, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020