Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing. - Xuelong Li 001; Hongyuan Zhang 001; Rui Zhang 017 (CoRR, 2020)

Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization. - Rui Zhang 017; Xuelong Li 001; Hongyuan Zhang 001; Feiping Nie 001 (IEEE Trans. Fuzzy Syst., 2020)

Enhanced Principal Component Analysis under A Collaborative-Robust Framework. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001 (CoRR, 2021)

Non-Gradient Manifold Neural Network. - Rui Zhang 017; Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (CoRR, 2021)

AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution. - Hongyuan Zhang 001; Jiankun Shi; Rui Zhang 017; Xuelong Li 001 (CoRR, 2021)

Robust multi-view fuzzy clustering via softmin. - Hongyuan Zhang 001; Rui Zhang 017; Xuelong Li 001; Yueshen Xu (Neurocomputing, 2021)

Robust Multi-Task Learning With Flexible Manifold Constraint. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Autoencoder Constrained Clustering With Adaptive Neighbors. - Xuelong Li 001; Rui Zhang 017; Qi Wang 009; Hongyuan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Manifold Learning with Graph Mining. - Xuelong Li 001; Ziheng Jiao; Hongyuan Zhang 001; Rui Zhang 017 (CoRR, 2022)

Adaptive Graph Auto-Encoder for General Data Clustering. - Xuelong Li 001; Hongyuan Zhang 001; Rui Zhang 017 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Maximum Joint Probability With Multiple Representations for Clustering. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001; Sheng Yang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learn Topological Representation with Flexible Manifold Layer. - Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (ICASSP, 2023)

Variational Positive-incentive Noise: How Noise Benefits Models. - Hongyuan Zhang 001; Sida Huang; Xuelong Li 001 (CoRR, 2023)

Discretize Relaxed Solution of Spectral Clustering via a Non-Heuristic Algorithm. - Hongyuan Zhang 001; Xuelong Li 001 (CoRR, 2023)

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning. - Xuelong Li 001; Hongyuan Zhang 001; Rui Zhang 017 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Toward Projected Clustering With Aggregated Mapping. - Hongyuan Zhang 001; Yanan Zhu; Xuelong Li 001 (IEEE Trans. Image Process., 2023)

Manifold Neural Network With Non-Gradient Optimization. - Rui Zhang 017; Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Non-Graph Data Clustering via $ mathcal {O}(n)$O(n) Bipartite Graph Convolution. - Hongyuan Zhang 001; Jiankun Shi; Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Embedding Graph Auto-Encoder for Graph Clustering. - Hongyuan Zhang 001; Pei Li; Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

CNN to GNN: Unsupervised Multi-level Knowledge Learning. - Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (CIKM, 2024)

CNN2GNN: How to Bridge CNN with GNN. - Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (CoRR, 2024)

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise. - Hongyuan Zhang 001; Yanchen Xu; Sida Huang; Xuelong Li 001 (CoRR, 2024)

Graph manifold learning with non-gradient decision layer. - Ziheng Jiao; Hongyuan Zhang 001; Rui Zhang 017; Xuelong Li 001 (Neurocomputing, 2024)

Orthogonal subspace exploration for matrix completion. - Hongyuan Zhang 001; Ziheng Jiao; Xuelong Li 001 (Pattern Recognit., 2024)

Pivotal-Aware Principal Component Analysis. - Xuelong Li 001; Pei Li; Hongyuan Zhang 001; Kangjia Zhu; Rui Zhang 017 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One. - Hongyuan Zhang 001; Yanan Zhu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Discretize Relaxed Solution of Spectral Clustering via a Nonheuristic Algorithm. - Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhance Vision-Language Alignment with Noise. - Sida Huang; Hongyuan Zhang 001; Xuelong Li 001 (AAAI, 2025)

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? - Yanchen Xu; Siqi Huang; Hongyuan Zhang 001; Xuelong Li 001 (AAAI, 2025)

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation. - Mengkang Hu; Tianxing Chen; Yude Zou; Yuheng Lei; Qiguang Chen; Ming Li; Yao Mu 001; Hongyuan Zhang 001; Wenqi Shao; Ping Luo 002 (ACL (Findings), 2025)

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. - Tianxing Chen; Yao Mu 001; Zhixuan Liang; Zanxin Chen; Shijia Peng; Qiangyu Chen; Mingkun Xu; Ruizhen Hu; Hongyuan Zhang 001; Xuelong Li 001; Ping Luo 002 (CVPR, 2025)

AnchorFormer: Differentiable anchor attention for efficient vision transformer. - Jiquan Shan; Junxiao Wang; Lifeng Zhao; Liang Cai; Hongyuan Zhang 001; Ioannis Liritzis (Pattern Recognit. Lett., 2025)

AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory. - Zhiqian Lan; Yuxuan Jiang 011; Ruiqi Wang; Xuanbing Xie; Rongkui Zhang; Yicheng Zhu; Peihang Li; Tianshuo Yang; Tianxing Chen; Haoyu Gao; Xiaokang Yang 001; Xuelong Li 001; et al. (CoRR, 2025)

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning. - Yuheng Lei; Sitong Mao; Shunbo Zhou; Hongyuan Zhang 001; Xuelong Li 001; Ping Luo 002 (CoRR, 2025)

AI Flow: Perspectives, Scenarios, and Approaches. - Hongjun An; Sida Huang; Siqi Huang; Ruanjun Li; Yuanzhi Liang; Jiawei Shao; Zihan Wang; Cheng Yuan; Chi Zhang 012; Hongyuan Zhang 001; Wenhao Zhuang; Xuelong Li 001 (CoRR, 2025)

Graph Convolutional Network With Self-Augmented Weights for Semi-Supervised Multi-View Learning. - Junying Wang; Hongyuan Zhang 001; Hongwei Wang; Yuan Yuan (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Graph Multi-View Representation Learning With Self-Augmented View Fusion. - Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Variational Positive-Incentive Noise: How Noise Benefits Models. - Hongyuan Zhang 001; Sida Huang; Yubin Guo; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)