Zhiqiang Xu

Orcid: 0000-0002-5693-8933

Affiliations:

Nanyang Technological University, Singapore (PhD 2015)

According to our database¹, Zhiqiang Xu authored at least 52 papers between 2012 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Alignment of Diffusion Models: Fundamentals, Challenges, and Future.

[BibT_eX]

[DOI]

ACM Comput. Surv., July, 2026

Return of Frustratingly Easy Unsupervised Video Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, May, 2026

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Sharpness-aware Federated Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

GeoDM: Geometry-aware Distribution Matching for Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, December, 2025

Local-Curvature-Aware Knowledge Graph Embedding: An Extended Ricci Flow Approach.

[BibT_eX]

[DOI]

CoRR, December, 2025

Utility Boundary of Dataset Distillation: Scaling and Configuration-Coverage Laws.

[BibT_eX]

[DOI]

Zhengquan Luo

Zhiqiang Xu

CoRR, December, 2025

MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis.

[BibT_eX]

[DOI]

CoRR, March, 2025

Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Style.

[BibT_eX]

[DOI]

CoRR, February, 2025

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices.

[BibT_eX]

[DOI]

CoRR, February, 2025

Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2025

Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

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

[BibT_eX]

[DOI]

Neurocomputing, 2025

MGCP: A Multi-Grained Correlation based Prediction Network for multivariate time series.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Golden Noise for Diffusion Models: A Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Dynamic Graph Embedding via Meta-Learning.

[BibT_eX]

[DOI]

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

A Simple and Efficient Baseline for Zero-Shot Generative Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring the Generalization Capabilities of AID-based Bi-level Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Golden Noise for Diffusion Models: A Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Variational Bayes for Federated Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

On the Comparison between Multi-modal and Single-modal Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Personalized Federated Learning from Knowledge Perspective.

[BibT_eX]

[DOI]

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

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2023

SR-R<sup>2</sup>KAC: Improving Single Image Defocus Deblurring.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

2020

A unified linear convergence analysis of k-SVD.

[BibT_eX]

[DOI]

Memetic Comput., 2020

Efficient Attribute-Constrained Co-Located Community Search.

[BibT_eX]

[DOI]

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

Succinct Adaptive Manifold Transfer.

[BibT_eX]

[DOI]

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

2019

Accelerate MaxBRkNN Search by kNN Estimation.

[BibT_eX]

[DOI]

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

2018

Convergence Analysis of Gradient Descent for Eigenvector Computation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

A Fast Algorithm for Matrix Eigen-decompositionn.

[BibT_eX]

[DOI]

Zhiqiang Xu

Yiping Ke

Xin Gao

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

2016

Stochastic Variance Reduced Riemannian Eigensolver.

[BibT_eX]

[DOI]

Zhiqiang Xu

Yiping Ke

CoRR, 2016

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.

[BibT_eX]

[DOI]

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

Effective and Efficient Spectral Clustering on Text and Link Data.

[BibT_eX]

[DOI]

Zhiqiang Xu

Yiping Ke

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

2015

Efficient and rich graph clustering

[BibT_eX]

[DOI]

Zhiqiang Xu

PhD thesis, 2015

2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

A Fast Inference Algorithm for Stochastic Blockmodel.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Zhiqiang Xu

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