Yunhui Liu

27 papers A* 4A 1Misc 2Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.
CoRR
Yunhui Liu, Pengyu Qiu, Yu Xing, Yongchao Liu, Peng Du, Chuntao Hong, Jiajun Zheng, Tao Zheng, Tieke He
2026 A* conf
EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing.
AAAI
Jinwei Shi, Wenxuan Huang, Yu Xing, Yunhui Liu, Tao Zheng, Bin Chong, Tieke He
2026 — conf
Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.
KDD (1)
Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He
2026 J jnl
Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.
CoRR
Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He
2026 A* conf
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.
WWW
Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He
2026 J jnl
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.
CoRR
Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He
2026 A* conf
On Modality Weighting and Specificity for Multi-Modal Entity Alignment.
AAAI
Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He
2026 A* conf
Tabular Foundation Models are Strong Graph Anomaly Detectors.
WWW
Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2026 J jnl
Tabular Foundation Models are Strong Graph Anomaly Detectors.
CoRR
Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2025 J jnl
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.
CoRR
Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He
2025 Misc conf
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.
ICASSP
Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025 J jnl
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.
CoRR
Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025 — conf
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation.
DASFAA (3)
Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
2025 J jnl
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation.
CoRR
Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
2025 — conf
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.
WWW (Companion Volume)
Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He
2025 J jnl
Negative-Free Self-Supervised Gaussian Embedding of Graphs.
Neural Networks
Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao
2025 Misc conf
Norm Augmented Graph AutoEncoders for Link Prediction.
ICASSP
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He
2025 J jnl
Norm Augmented Graph AutoEncoders for Link Prediction.
CoRR
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He
2025 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning.
CoRR
Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao
2024 — conf
Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning.
ECML/PKDD (3)
Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao
2024 J jnl
Negative-Free Self-Supervised Gaussian Embedding of Graphs.
CoRR
Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 A conf
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
CIKM
Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao
2024 J jnl
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
CoRR
Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao
2024 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin