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ORCIDYunhui Liu 0002
Person information
- affiliation: Nanjing University, Software Institute, Nanjing, China
Other persons with the same name
- Yunhui Liu (aka: Yun-hui Liu, Yun-Hui Liu) — disambiguation page
- Yun-Hui Liu 0001
![[0000-0002-3625-6679]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-3625-6679")
(aka: Yun-hui Liu 0001, Yunhui Liu 0001, Yun Hui Liu 0001) — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong (and 1 more) - Yunhui Liu 0003 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Yunhui Liu 0005 (aka: YunHui Liu 0005) — Beijing Jiaotong University, School of Computer and Information Technology, China
- Yunhui Liu 0006 — Lenovo Research, Shanghai, China
- Yunhui Liu 0007 — China Medical University, Shengjing Hospital, Shenyang, CO, China (and 1 more)
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2020 – today
- 2026
[c13]Jinwei Shi, Wenxuan Huang, Yu Xing, Yunhui Liu, Tao Zheng, Bin Chong, Tieke He:
EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing. AAAI 2026: 19362-19370- [c12]Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He:
On Modality Weighting and Specificity for Multi-Modal Entity Alignment. AAAI 2026: 27144-27152 - [c11]Qizhuo Xie, Yunhui Liu, Yu Xing, Qianzi Hou, Xudong Jin, Tao Zheng, Tieke He:
GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion. ACL (1) 2026: 16782-16797 - [c10]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:
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions. ACL (1) 2026: 22823-22846 - [c9]Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He:
Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning. KDD (1) 2026: 961-972 - [c8]Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He:
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach. WWW 2026: 1127-1138 - [c7]Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong:
Tabular Foundation Models are Strong Graph Anomaly Detectors. WWW 2026: 8785-8788 - [i18]Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong:
Tabular Foundation Models are Strong Graph Anomaly Detectors. CoRR abs/2601.17301 (2026) - [i17]Yunhui Liu, Pengyu Qiu, Yu Xing, Yongchao Liu, Peng Du, Chuntao Hong, Jiajun Zheng, Tao Zheng, Tieke He:
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering. CoRR abs/2602.08519 (2026) - [i16]Yunhui Liu, Qizhuo Xie, Yinfeng Chen, Xudong Jin, Tao Zheng, Bin Chong, Tieke He:
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach. CoRR abs/2603.08137 (2026) - [i15]Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He:
Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning. CoRR abs/2603.08159 (2026) - [i14]Yunhui Liu, Yue Liu, Yongchao Liu, Tao Zheng, Stan Z. Li, Xinwang Liu, Tieke He:
Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering. CoRR abs/2603.20829 (2026) - [i13]Yingguang Yang, Hao Liu, Xin Zhang, Yunhui Liu, Yutong Xia, Qi Wu, Hao Peng, Taoran Liang, Bin Chong, Tieke He, Philip S. Yu:
FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation. CoRR abs/2604.10678 (2026) - [i12]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:
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions. CoRR abs/2604.17312 (2026) - [i11]Qizhuo Xie, Yunhui Liu, Yu Xing, Qianzi Hou, Xudong Jin, Tao Zheng, Tieke He:
GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion. CoRR abs/2604.21649 (2026) - 2025
- [j3]Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao:
Negative-Free Self-Supervised Gaussian Embedding of Graphs. Neural Networks 181: 106846 (2025) - [j2]Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin:
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference. IEEE Trans. Knowl. Data Eng. 37(10): 6189-6201 (2025) - [c6]Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He:
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation. DASFAA (3) 2025: 120-135 - [c5]Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He:
Norm Augmented Graph AutoEncoders for Link Prediction. ICASSP 2025: 1-5 - [c4]Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He:
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation. ICASSP 2025: 1-5 - [c3]Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He:
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. WWW (Companion Volume) 2025: 757-760 - [i10]Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He:
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation. CoRR abs/2502.05864 (2025) - [i9]Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He:
Norm Augmented Graph AutoEncoders for Link Prediction. CoRR abs/2502.05868 (2025) - [i8]Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He:
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection. CoRR abs/2504.14250 (2025) - [i7]Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He:
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation. CoRR abs/2511.11969 (2025) - 2024
- [j1]Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin:
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 9123-9135 (2024) - [c2]Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao:
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. CIKM 2024: 3912-3916 - [c1]Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao:
Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning. ECML/PKDD (3) 2024: 76-92 - [i6]Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin:
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. CoRR abs/2408.03765 (2024) - [i5]Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao:
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning. CoRR abs/2408.05087 (2024) - [i4]Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao:
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. CoRR abs/2408.05765 (2024) - [i3]Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao:
Negative-Free Self-Supervised Gaussian Embedding of Graphs. CoRR abs/2411.01157 (2024) - [i2]Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin:
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference. CoRR abs/2411.14035 (2024) - [i1]Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He:
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. CoRR abs/2412.08937 (2024)
Coauthor Index
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