Ye Liu

24 papers A* 2Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
An ADI scheme for convection diffusion equation with variable coefficients on irregular domain.
J. Comput. Appl. Math.
Xue-lei Lin, Chengyu Chen, Ye Liu, Huifang Yuan
2026 A* conf
Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives.
AAAI
Hongshan Pu, Haoxu Zhang, Ye Liu, Hongmin Cai
2026 J jnl
Higher -order expanded heterogeneous graph framework for attribute completion with bi-level programming.
Pattern Recognit.
Yejia Chen, Yuchen Mou, Ye Liu, Xinjie Shen, Yan Yu, Huaiguang Jiang
2026 A* conf
MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model.
AAAI
Ye Liu, Yang Chen, Hongmin Cai
2025 J jnl
Anchor-Based Multiview Subspace Clustering With Anchor-wise and Class-wise Alignments.
IEEE Trans. Neural Networks Learn. Syst.
Ye Liu, Hongshan Pu, Junjun Pan, Michael K. Ng, Hongmin Cai
2025 J jnl
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation.
CoRR
Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
2025 J jnl
QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Ye Liu, Chaoxiong Lin, Yuchen Mou, Huaiguang Jiang, Hongmin Cai
2024 J jnl
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
ACM Trans. Multim. Comput. Commun. Appl.
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2024 J jnl
HeGAE-AC: Heterogeneous graph auto-encoder for attribute completion.
Knowl. Based Syst.
Yejia Chen, Ye Liu
2024 — conf
Module-level Gene-drug Interaction Identification via Hierarchical Optimal Transport.
BIBM
Ye Liu, Xiaojie Wang, Hongshan Pu, Jiazhou Chen, Hongmin Cai
2024 J jnl
Multi-order Graph Clustering with Adaptive Node-level Weight Learning.
CoRR
Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng
2024 J jnl
Multi-order graph clustering with adaptive node-level weight learning.
Pattern Recognit.
Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng
2024 J jnl
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models.
CoRR
Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
2023 J jnl
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
CoRR
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2023 — conf
Robust Multi-view Spectral Clustering with Auto-encoder for Preserving Information.
ICONIP (5)
Xiaojie Wang, Ye Liu, Hongshan Pu, Yuchen Mou, Chaoxiong Lin
2023 J jnl
Tucker network: Expressive power and comparison.
Neural Networks
Ye Liu, Junjun Pan, Michael K. P. Ng
2022 J jnl
A new clustering algorithm for genes with multiple cancer diseases by self-consistent field iteration method.
Netw. Model. Anal. Health Informatics Bioinform.
Ye Liu, Michael K. Ng
2022 J jnl
Deep neural network compression by Tucker decomposition with nonlinear response.
Knowl. Based Syst.
Ye Liu, Michael K. Ng
2022 J jnl
The Social Technology and Research (STAR) Lab in the University of Hong Kong.
SIGMOD Rec.
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
2021 J jnl
Multiple graph semi-supervised clustering with automatic calculation of graph associations.
Neurocomputing
Ye Liu, Michael K. Ng, Hong Zhu
2021 J jnl
Orthogonal Nonnegative Tucker Decomposition.
SIAM J. Sci. Comput.
Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan
2020 J jnl
Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ye Liu, Michael K. Ng, Stephen Wu
2019 J jnl
Orthogonal Nonnegative Tucker Decomposition.
CoRR
Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan
2019 J jnl
Tucker Decomposition Network: Expressive Power and Comparison.
CoRR
Ye Liu, Junjun Pan, Michael K. Ng