Zhiqiang Xu

According to our database, Zhiqiang Xu authored at least 27 papers between 2012 and 2025.

Collaborative distances:

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

2025

Online parallel multi-task relationship learning via alternating direction method of multipliers.

Ruiyu Li, Peilin Zhao, Guangxia Li, Zhiqiang Xu, Xuewei Li

Neurocomputing, 2025

2024

Dynamic Graph Embedding via Meta-Learning.

Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu

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

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs.

Siqing Li, Jin-Duk Park, Wei Huang, Xin Cao, Won-Yong Shin, Zhiqiang Xu

CoRR, 2024

MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series.

Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao

CoRR, 2024

Variational Bayes for Federated Continual Learning.

Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun

CoRR, 2024

Rethinking Personalized Federated Learning from Knowledge Perspective.

Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting.

Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li

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

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring.

Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SR-R²KAC: Improving Single Image Defocus Deblurring.

Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser

CoRR, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion.

Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation.

Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu

CoRR, 2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma

CoRR, 2022

2020

A unified linear convergence analysis of k-SVD.

Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao

Memetic Comput., 2020

Efficient Attribute-Constrained Co-Located Community Search.

Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Succinct Adaptive Manifold Transfer.

Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Accelerate MaxBRkNN Search by kNN Estimation.

Xuefeng Chen, Xin Cao, Zhiqiang Xu, Ying Zhang, Shuo Shang, Wenjie Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Convergence Analysis of Gradient Descent for Eigenvector Computation.

Zhiqiang Xu, Xin Cao, Xin Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering.

Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka

Knowl. Inf. Syst., 2017

A Fast Algorithm for Matrix Eigen-decompositionn.

Zhiqiang Xu, Yiping Ke, Xin Gao

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

Stochastic Variance Reduced Riemannian Eigensolver.

Zhiqiang Xu, Yiping Ke

CoRR, 2016

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.

Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li

Proceedings of the 33nd International Conference on Machine Learning, 2016

Effective and Efficient Spectral Clustering on Text and Link Data.

Zhiqiang Xu, Yiping Ke

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Efficient and rich graph clustering

Zhiqiang Xu

PhD thesis, 2015

2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.

Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng

ACM Trans. Knowl. Discov. Data, 2014

A Fast Inference Algorithm for Stochastic Blockmodel.

Zhiqiang Xu, Yiping Ke, Yi Wang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2012

A model-based approach to attributed graph clustering.

Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012