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Zhiqiang Xu 0003
Person information
- affiliation (PhD 2015): Nanyang Technological University, Singapore
Other persons with the same name
- Zhiqiang Xu (aka: Zhi-Qiang Xu) — disambiguation page
- Zhiqiang Xu 0001 — Chinese Academy of Sciences, LSEC, Academy of Mathematics and System Science, Beijing, China (and 2 more)
- Zhiqiang Xu 0002 — Imperial College London, Department of Electrical and Electronic Engineering, Wearable Technologies Lab, UK
- Zhiqiang Xu 0004 — Fuyang Normal University, School of Information Engineering, Anhui, China
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Books and Theses
- 2015
- [b1]Zhiqiang Xu:
Efficient and rich graph clustering. Nanyang Technological University, Singapore, 2015
Journal Articles
- 2025
- [j5]Ruiyu Li, Peilin Zhao, Guangxia Li, Zhiqiang Xu, Xuewei Li:
Online parallel multi-task relationship learning via alternating direction method of multipliers. Neurocomputing 611: 128702 (2025) - 2024
- [j4]Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu:
Dynamic Graph Embedding via Meta-Learning. IEEE Trans. Knowl. Data Eng. 36(7): 2967-2979 (2024) - 2020
- [j3]Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. Memetic Comput. 12(4): 343-353 (2020) - 2017
- [j2]Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka:
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. Knowl. Inf. Syst. 53(1): 239-268 (2017) - 2014
- [j1]Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng:
GBAGC: A General Bayesian Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data 9(1): 5:1-5:43 (2014)
Conference and Workshop Papers
- 2024
- [c14]Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser:
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI 2024: 5145-5153 - [c13]Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. ICDE 2024: 4435-4448 - [c12]Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin:
Rethinking Personalized Federated Learning from Knowledge Perspective. ICPP 2024: 991-1000 - 2023
- [c11]Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma:
S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. INTERSPEECH 2023: 2288-2292 - [c10]Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin:
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS 2023 - 2020
- [c9]Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong:
Succinct Adaptive Manifold Transfer. CIKM 2020: 1615-1624 - [c8]Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen:
Efficient Attribute-Constrained Co-Located Community Search. ICDE 2020: 1201-1212 - 2019
- [c7]Xuefeng Chen, Xin Cao, Zhiqiang Xu, Ying Zhang, Shuo Shang, Wenjie Zhang:
Accelerate MaxBRkNN Search by kNN Estimation. ICDE 2019: 1730-1733 - 2018
- [c6]Zhiqiang Xu, Xin Cao, Xin Gao:
Convergence Analysis of Gradient Descent for Eigenvector Computation. IJCAI 2018: 2933-2939 - 2017
- [c5]Zhiqiang Xu, Yiping Ke, Xin Gao:
A Fast Algorithm for Matrix Eigen-decompositionn. UAI 2017 - 2016
- [c4]Zhiqiang Xu, Yiping Ke:
Effective and Efficient Spectral Clustering on Text and Link Data. CIKM 2016: 357-366 - [c3]Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li:
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. ICML 2016: 1660-1669 - 2014
- [c2]Zhiqiang Xu, Yiping Ke, Yi Wang:
A Fast Inference Algorithm for Stochastic Blockmodel. ICDM 2014: 620-629 - 2012
- [c1]Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng:
A model-based approach to attributed graph clustering. SIGMOD Conference 2012: 505-516
Informal and Other Publications
- 2024
- [i9]Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun:
Variational Bayes for Federated Continual Learning. CoRR abs/2405.14291 (2024) - [i8]Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao:
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series. CoRR abs/2405.19661 (2024) - [i7]Siqing Li, Jin-Duk Park, Wei Huang, Xin Cao, Won-Yong Shin, Zhiqiang Xu:
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs. CoRR abs/2409.06323 (2024) - [i6]Ruiyu Li, Peilin Zhao, Guangxia Li, Zhiqiang Xu, Xuewei Li:
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers. CoRR abs/2411.06135 (2024) - 2023
- [i5]Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser:
SR-R2KAC: Improving Single Image Defocus Deblurring. CoRR abs/2307.16242 (2023) - [i4]Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting. CoRR abs/2312.16403 (2023) - 2022
- [i3]Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma:
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR abs/2208.07365 (2022) - [i2]Chengqian Gao, Ke Xu, Liu Liu, Deheng Ye, Peilin Zhao, Zhiqiang Xu:
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. CoRR abs/2210.10469 (2022) - 2016
- [i1]Zhiqiang Xu, Yiping Ke:
Stochastic Variance Reduced Riemannian Eigensolver. CoRR abs/1605.08233 (2016)
Coauthor Index
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