A model-based approach to attributed graph clustering. - Zhiqiang Xu 003; Yiping Ke; Yi Wang 006; Hong Cheng 001; James Cheng (SIGMOD Conference, 2012)

A Fast Inference Algorithm for Stochastic Blockmodel. - Zhiqiang Xu 003; Yiping Ke; Yi Wang 006 (ICDM, 2014)

GBAGC: A General Bayesian Framework for Attributed Graph Clustering. - Zhiqiang Xu 003; Yiping Ke; Yi Wang 006; Hong Cheng 001; James Cheng (ACM Trans. Knowl. Discov. Data, 2014)

Efficient and rich graph clustering - Zhiqiang Xu 003 (2015)

Effective and Efficient Spectral Clustering on Text and Link Data. - Zhiqiang Xu 003; Yiping Ke (CIKM, 2016)

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. - Zhiqiang Xu 003; Peilin Zhao; Jianneng Cao; Xiaoli Li 001 (ICML, 2016)

Stochastic Variance Reduced Riemannian Eigensolver. - Zhiqiang Xu 003; Yiping Ke (CoRR, 2016)

A Fast Algorithm for Matrix Eigen-decompositionn. - Zhiqiang Xu 003; Yiping Ke; Xin Gao 001 (UAI, 2017)

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. - Zhiqiang Xu 003; James Cheng; Xiaokui Xiao; Ryohei Fujimaki; Yusuke Muraoka (Knowl. Inf. Syst., 2017)

Convergence Analysis of Gradient Descent for Eigenvector Computation. - Zhiqiang Xu 003; Xin Cao 001; Xin Gao 001 (IJCAI, 2018)

Accelerate MaxBRkNN Search by kNN Estimation. - Xuefeng Chen 001; Xin Cao 001; Zhiqiang Xu 003; Ying Zhang 001; Shuo Shang; Wenjie Zhang 001 (ICDE, 2019)

Succinct Adaptive Manifold Transfer. - Pengfei Wei 001; Yiping Ke; Zhiqiang Xu 003; Tze-Yun Leong (CIKM, 2020)

Efficient Attribute-Constrained Co-Located Community Search. - Jiehuan Luo; Xin Cao 001; Xike Xie; Qiang Qu; Zhiqiang Xu 003; Christian S. Jensen (ICDE, 2020)

A unified linear convergence analysis of k-SVD. - Zhiqiang Xu 003; Yiping Ke; Xin Cao 001; Chunlai Zhou; Pengfei Wei 001; Xin Gao 001 (Memetic Comput., 2020)

Unsupervised Video Domain Adaptation: A Disentanglement Perspective. - Pengfei Wei 001; Lingdong Kong; Xinghua Qu; Xiang Yin 006; Zhiqiang Xu 003; Jing Jiang 002; Zejun Ma (CoRR, 2022)

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. - Chengqian Gao; Ke Xu; Liu Liu 014; Deheng Ye; Peilin Zhao; Zhiqiang Xu 003 (CoRR, 2022)

S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. - Pengfei Wei 001; Xiang Yin 006; Chunfeng Wang; Zhonghao Li; Xinghua Qu; Zhiqiang Xu 003; Zejun Ma (INTERSPEECH, 2023)

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. - Pengfei Wei 001; Lingdong Kong; Xinghua Qu; Yi Ren 006; Zhiqiang Xu 003; Jing Jiang 002; Xiang Yin 006 (NeurIPS, 2023)

SR-R2KAC: Improving Single Image Defocus Deblurring. - Peng Tang; Zhiqiang Xu 003; Pengfei Wei 001; Xiaobin Hu; Peilin Zhao; Xin Cao 001; Chunlai Zhou; Tobias Lasser (CoRR, 2023)

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. - Peng Tang; Zhiqiang Xu 003; Chunlai Zhou; Pengfei Wei 001; Peng Han 005; Xin Cao 001; Tobias Lasser (AAAI, 2024)

Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. - Minbo Ma; Jilin Hu; Christian S. Jensen; Fei Teng 001; Peng Han 005; Zhiqiang Xu 003; Tianrui Li 001 (ICDE, 2024)

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. - Dake Bu; Wei Huang 034; Taiji Suzuki; Ji Cheng 001; Qingfu Zhang 001; Zhiqiang Xu 003; Hau-San Wong (ICML, 2024)

Rethinking Personalized Federated Learning from Knowledge Perspective. - Dezhong Yao 002; Ziquan Zhu; Tongtong Liu 006; Zhiqiang Xu 003; Hai Jin 001 (ICPP, 2024)

On the Comparison between Multi-modal and Single-modal Contrastive Learning. - Wei Huang 034; Andi Han; Yongqiang Chen; Yuan Cao 006; Zhiqiang Xu 003; Taiji Suzuki (NeurIPS, 2024)

Variational Bayes for Federated Continual Learning. - Dezhong Yao 002; Sanmu Li; Yutong Dai 002; Zhiqiang Xu 003; Shengshan Hu; Peilin Zhao; Lichao Sun 001 (CoRR, 2024)

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs. - Siqing Li; Jin-Duk Park; Wei Huang 034; Xin Cao 001; Won-Yong Shin; Zhiqiang Xu 003 (CoRR, 2024)

Exploring the Generalization Capabilities of AID-based Bi-level Optimization. - Congliang Chen; Li Shen 008; Zhiqiang Xu 003; Wei Liu 005; Zhi-Quan Luo; Peilin Zhao (CoRR, 2024)

Dynamic Graph Embedding via Meta-Learning. - Yuren Mao; Yu Hao 003; Xin Cao 001; Yixiang Fang; Xuemin Lin 001; Hua Mao; Zhiqiang Xu 003 (IEEE Trans. Knowl. Data Eng., 2024)

Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks. - Wei Huang 034; Wuyang Chen 001; Zhiqiang Xu 003; Zhangyang Wang; Taiji Suzuki (CPAL, 2025)

MGCP: A Multi-Grained Correlation based Prediction Network for multivariate time series. - Zhicheng Chen; Xi Xiao; Ke Xu; Zhong Zhang; Yu Rong 001; Qing Li 006; Guojun Gan; Zhiqiang Xu 003; Peilin Zhao (Neurocomputing, 2025)

Online parallel multi-task relationship learning via alternating direction method of multipliers. - Ruiyu Li; Peilin Zhao; Guangxia Li; Zhiqiang Xu 003; Xuewei Li (Neurocomputing, 2025)

Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting. - Zefeng Pan; Renlong Hang; Qingshan Liu 001; Chunxiang Shi; Zhiqiang Xu 003; Xiao-Tong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models. - Tengwei Song; Long Yin; Yang Liu; Long Liao; Jie Luo 004; Zhiqiang Xu 003 (IEEE Trans. Knowl. Data Eng., 2025)

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices. - Dezhong Yao 002; Yuexin Shi; Tongtong Liu 006; Zhiqiang Xu 003 (CoRR, 2025)

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. - Chengqian Gao; Haonan Li; Liu Liu 014; Zeke Xie; Peilin Zhao; Zhiqiang Xu 003 (CoRR, 2025)

Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Style. - Xueran Han; Yuhan Liu; Mingzhe Li 001; Wei Liu 005; Sen Hu; Rui Yan 001; Zhiqiang Xu 003; Xiuying Chen (CoRR, 2025)