Yunhui Liu

According to our database, Yunhui Liu authored at least 22 papers between 2024 and 2026.

Collaborative distances:

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

2026

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions.

Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo

CoRR, April, 2026

FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation.

Yingguang Yang, Hao Liu, Xin Zhang, Yunhui Liu, Yutong Xia, Qi Wu, Hao Peng, Taoran Liang, Bin Chong, Tieke He, Philip S. Yu

CoRR, April, 2026

Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering.

Yunhui Liu, Yue Liu, Yongchao Liu, Tao Zheng, Stan Z. Li, Xinwang Liu, Tieke He

CoRR, March, 2026

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.

Yunhui Liu, Pengyu Qiu, Yu Xing, Yongchao Liu, Peng Du, Chuntao Hong, Jiajun Zheng, Tao Zheng, Tieke He

CoRR, February, 2026

Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.

Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He

Proceedings of the ACM Web Conference 2026, 2026

Tabular Foundation Models are Strong Graph Anomaly Detectors.

Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong

Proceedings of the ACM Web Conference 2026, 2026

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.

Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions.

Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion.

Qizhuo Xie, Yunhui Liu, Yu Xing, Qianzi Hou, Xudong Jin, Tao Zheng, Tieke He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

On Modality Weighting and Specificity for Multi-Modal Entity Alignment.

Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing.

Jinwei Shi, Wenxuan Huang, Yu Xing, Yunhui Liu, Tao Zheng, Bin Chong, Tieke He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.

Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin

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

A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.

Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He

CoRR, April, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He

CoRR, February, 2025

Negative-Free Self-Supervised Gaussian Embedding of Graphs.

Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao

Neural Networks, 2025

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.

Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.

Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation.

Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.

Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., December, 2024

Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning.

Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.

Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024