Ye Liu

According to our database, Ye Liu authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling.

Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CoRR, April, 2026

Higher -order expanded heterogeneous graph framework for attribute completion with bi-level programming.

Yejia Chen, Yuchen Mou, Ye Liu, Xinjie Shen, Yan Yu, Huaiguang Jiang

Pattern Recognit., 2026

An ADI scheme for convection diffusion equation with variable coefficients on irregular domain.

Xue-Lei Lin, Chengyu Chen, Ye Liu, Huifang Yuan

J. Comput. Appl. Math., 2026

Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives.

Hongshan Pu, Haoxu Zhang, Ye Liu, Hongmin Cai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model.

Ye Liu, Yang Chen, Hongmin Cai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Anchor-Based Multiview Subspace Clustering With Anchor-wise and Class-wise Alignments.

Ye Liu, Hongshan Pu, Junjun Pan, Michael K. Ng, Hongmin Cai

IEEE Trans. Neural Networks Learn. Syst., November, 2025

Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation.

Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CoRR, October, 2025

QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks.

Ye Liu, Chaoxiong Lin, Yuchen Mou, Huaiguang Jiang, Hongmin Cai

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

2024

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?

Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding

ACM Trans. Multim. Comput. Commun. Appl., December, 2024

Multi-order graph clustering with adaptive node-level weight learning.

Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng

Pattern Recognit., 2024

HeGAE-AC: Heterogeneous graph auto-encoder for attribute completion.

Yejia Chen, Ye Liu

Knowl. Based Syst., 2024

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models.

Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CoRR, 2024

Module-level Gene-drug Interaction Identification via Hierarchical Optimal Transport.

Ye Liu, Xiaojie Wang, Hongshan Pu, Jiazhou Chen, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Tucker network: Expressive power and comparison.

Ye Liu, Junjun Pan, Michael K. P. Ng

Neural Networks, March, 2023

Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information.

Xiaojie Wang, Ye Liu, Hongshan Pu, Yuchen Mou, Chaoxiong Lin

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

The Social Technology and Research (STAR) Lab in the University of Hong Kong.

Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y. L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao

SIGMOD Rec., 2022

A new clustering algorithm for genes with multiple cancer diseases by self-consistent field iteration method.

Ye Liu, Michael K. Ng

Netw. Model. Anal. Health Informatics Bioinform., 2022

Deep neural network compression by Tucker decomposition with nonlinear response.

Ye Liu, Michael K. Ng

Knowl. Based Syst., 2022

2021

Orthogonal Nonnegative Tucker Decomposition.

Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan

SIAM J. Sci. Comput., 2021

Multiple graph semi-supervised clustering with automatic calculation of graph associations.

Ye Liu, Michael K. Ng, Hong Zhu

Neurocomputing, 2021

2020

Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.

Ye Liu, Michael K. Ng, Stephen Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

Tucker Decomposition Network: Expressive Power and Comparison.

Ye Liu, JunJun Pan, Michael K. Ng

CoRR, 2019