Jiyuan Liu
Ph.D.
- liujiyuan13@nudt.edu.cn
- github.com/liujiyuan13
- scholar.google.com
- dblp.org
- researchgate.net
- Changsha, Hunan, P.R. China
Jiyuan Liu is an associate professor with the College of Systems Engineering, National University of Defense Technology (NUDT), China. He received the Ph.D. degree from the NUDT in 2022. Previously, he was an undergraduate of QianxueSen Class (QXSC) at NUDT from 2013 to 2017, an visiting student of Jiangchuan Liu's lab with the support from China Scholarship Council (CSC) from 2016 to 2017. He was co-advised by Xinwang Liu, Yuexiang Yang and Marius Kloft since 2019. His research interest is theory and algorithms of statistical machine learning and its applications, especially in multi-view learning, federated learning, anomaly detection and contrastive learning.
News
- 2026/02 - I am invited to serve as an AC of ACMMM 2026.
- 2026/02 - I am invited to serve as an AC of IJCNN 2026.
- 2026/02 - I am invited to serve as an PC of BMVC 2026.
- 2026/02 - One paper is accepted by CVPR 2026.
- 2026/01 - I am invited to serve as an PC of IJCAI/ECCV 2026.
- 2026/01 - One paper is accepted by Neural Networks.
Publication List
Conference
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Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance
Miao Jia, Xingchen Hu, Jiyuan Liu, Siwei Wang, Min Wang, Zijian Chen
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2026 (CCF A) -
Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations
Junsong Chen, Jiyuan Liu*, Suyuan Liu, Wei Zhang, Ao Li*, En Zhu*, Xinwang Liu
AAAI Conference on Artificial Intelligence, AAAI, 2026 (CCF A) -
Incomplete Multi-view Deep Clustering with Data Imputation and Alignment [code]
Jiyuan Liu, Xinwang Liu, Xinhang Wan, Ke Liang, Weixuan Liang, Sihang Zhou, Huijun Wu, Kehua Guo
Thirty-ninth Conference on Neural Information Processing Systems, Neurips, 2025 (CCF A) -
Federated Incomplete Multi-view Clustering with Individual Structure Preservation and Central Representation Tensorization
Yan Li, Xingchen Hu, Jiyuan Liu, Zhong Liu
ACM International Conference on Multimedia, ACMMM, 2025 (CCF A) -
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He
International Conference on Computer Vision, ICCV, 2025 (CCF A) -
Measuring the Impact of Rotation Equivariance on Aerial Object Detection [code]
Xiuyu Wu, Xinhao Wang, Xiubin Zhu, Lan Yang, Jiyuan Liu, Xingchen Hu
International Conference on Computer Vision, ICCV, 2025 (CCF A) -
COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
Weixuan Liang, Xinwang Liu, KE LIANG, Jiyuan Liu, En Zhu
International Conference on Machine Learning, ICML, 2025 (CCF A) -
Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels [code]
Jiyuan Liu, Xinwang Liu, Chuankun Li, Xinhang Wan, Hao Tan, Yi Zhang, Weixuan Liang, Qian Qu, Yu Feng, Renxiang Guan, Ke Liang
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2025 (CCF A) -
DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimizaiton
Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu
International Conference on Learning Representations, ICLR, 2025 (Top) -
Incremental Nyström-based Multiple Kernel Clustering
Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu
AAAI Conference on Artificial Intelligence, AAAI, 2025 (CCF A) -
Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu
AAAI Conference on Artificial Intelligence, AAAI, 2025 (CCF A) -
Dualswin-Ynet: A novel bimodal fusion network for ship detection in remote sensing images
Dongdong Chen, Rusheng Ju, Xiaoyang Liu, Jiyuan Liu, Jun Zhang, Sihang Qiu
International Conference on Pattern Recognition, ICPR, 2024 (CCF C) -
A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering
Qian Qu, Xinhang Wan, Weixuan Liang, Jiyuan Liu, Yu Feng, Huiying Xu, Xinwang Liu, En Zhu
ACM Multimedia, ACM MM, 2024 (CCF A) -
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu
International Conference on Machine Learning, ICML, 2024 (CCF A) -
Scalable Incomplete Multi-View Clustering with Structure Alignment
Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu
ACM Multimedia, ACM MM, 2023 (CCF A) -
Auto-weighted Multi-view Clustering for Large-scale Data
Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou
AAAI Conference on Artificial Intelligence, AAAI, 2023 (CCF A) -
MADDC: Multi-Scale Anomaly Detection, Diagnosis and Correction for Discrete Event Logs
Xiaolei Wang, Lin Yang, Dongyang Li, Linru Ma, Yongzhong He, Junchao Xiao, Jiyuan Liu and Yuexiang Yang
Annual Computer Security Applications Conference, ACSAC, 2022 (CCF B) -
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
Weixuan Liang, Xinwang Liu, Yong Liu, sihang zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang and En Zhu
Thirty-sixth Conference on Neural Information Processing Systems, Neurips, 2022 (CCF A) -
Continual Multi-view Clustering
Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen and En Zhu
ACM Multimedia, ACM MM, 2022 (CCF A) -
Multiple Kernel Clustering with Dual Noise Minimization
Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu and En Zhu
ACM Multimedia, ACM MM, 2022 (CCF A) -
Highly-efficient Incomplete Large-scale Multi-view Clustering with Consensus Bipartite Graph
Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022 (CCF A) -
Robust Graph-based Multi-view Clustering
Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang and En Zhu
AAAI Conference on Artificial Intelligence, AAAI, 2022 (CCF A) -
Fusion Multiple Kernel K-means
Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu and En Zhu
AAAI Conference on Artificial Intelligence, AAAI, 2022 (CCF A) -
Localized Simple Multiple Kernel K-means [code]
Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu and Yi Zhang
IEEE International Conference on Computer Vision, ICCV, 2021 (CCF A) -
One-pass Multi-view Clustering for Large-scale Data [code]
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang and Jiangyong Shi
IEEE International Conference on Computer Vision, ICCV, 2021 (CCF A) -
One-Stage Incomplete Multi-view Clustering via Late Fusion [code]
Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu
ACM International Conference on Multimedia, ACMMM, 2021 (CCF A) -
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment [code]
Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang
ACM International Conference on Multimedia, ACMMM, 2021 (CCF A) -
Self-Representation Subspace Clustering for Incomplete Multi-view Data [code]
Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang and Yuexiang Yang
ACM International Conference on Multimedia, ACMMM, 2021 (CCF A) -
One Pass Late Fusion Multi-view Clustering [code]
Xinwang Liu, Li Liu, Qing Liao, Chang Tang, Siwei Wang, Wenxuan Tu, Jiyuan Liu, Yi Zhang and En Zhu
International Conference on Machine Learning, ICML, 2021 (CCF A) -
Hierarchical Multiple Kernel Clustering [code]
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Siwei Wang, Sihang Zhou
AAAI Conference on Artificial Intelligence, AAAI, 2021 (CCF A) -
Image Representation Learning by Transformation Regression
Xifeng Guo, Jiyuan Liu* (corresponding author), Sihang Zhou, En Zhu*, Shihao Dong
International Conference on Pattern Recognition, ICPR, 2020 (CCF C) -
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix [code]
Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin and Wen Gao
AAAI Conference on Artificial Intelligence, AAAI, 2019 (CCF A) -
Multi-view Clustering via Late Fusion Alignment Maximization [code]
Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin
International Joint Conference on Artificial Intelligence, IJCAI, 2019 (CCF A)
Journal
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SCAD: A Self-constrained Solution to Automate Context-guided Zero-shot Image Anomaly Detection
Siqi Wang, Guangpu Wang, Xinwang Liu, Jie Liu, Jiyuan Liu*, Siwei Wang
Neural Networks, NN, 2026 (CCF B, 二区) -
Anchor-guided Sample-and-feature Incremental Alignment Framework for Multi-view Clustering
Qian Qu, Xinhang Wan, Jiyuan Liu, Xinwang Liu, En Zhu
IEEE Transactions on Circuits and Systems for Video Technology, TCSVT, 2025 (CCF B, 一区) -
低秩张量和主动重构诱导的后期融合多核聚类 (Low-Rank Tensor and Active Reconstruction Induced Late Fusion Multiple Kernel Clustering)
张毅, 田芷榕, 王方地, 王思为, 刘吉元, 刘新旺, 祝恩 (Yi Zhang, Zhirong Tian, Fangdi Wang, Siwei Wang, Jiyuan Liu, Xinwang Liu, En Zhu)
计算机学报 (Chinese Journal of Computers), 2025 (CCF A) -
Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity
Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Miaomiao Li, Xinwang Liu
IEEE Transactions on Knowledge and Data Engineering, TKDE, 2025 (CCF A) -
Communication-Efficient Federated Multi-view Clustering
Jiyuan Liu, Xinwang Liu, Siqi Wang, Xinhang Wan, Dongsheng Li, Kai Lu, Kunlun He
IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2025 (CCF A, 一区) [code] [bib] -
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
Xinhang Wan, Jiyuan Liu, Hao Yu, Qian Qu, Ao Li, Xinwang Liu, Ke Liang, Zhibin Dong, En Zhu
IEEE Transactions on Neural Networks and Learning Systems, TNNLS, 2024 (CCF B, 一区) -
数据表示的相关性度量方法 (On the Correlation Measurement of Data Representations) [code] [bib]
刘吉元, 刘新旺, 蔡志平, 祝恩, 鞠儒生(Jiyuan Liu, Xinwang Liu, Zhiping Cai, En Zhu, Rusheng Ju)
计算机学报 (Chinese Journal of Computers), 2024 (CCF A) -
Discriminative Embedded Multi-view Fuzzy C-Means Clustering for Feature-redundant and Incomplete Data
Yan Li, Xingchen Hu, Tuanfei Zhu, Jiyuan Liu, Xinwang Liu, Zhong Liu
Information Sciences, 2024 (CCF B, 一区) -
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering
Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He
IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2024 (CCF A, 一区) -
Fast Continual Multi-View Clustering with Incomplete Views
Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu
IEEE Transactions on Image Processing, TIP, 2024 (CCF A, 一区) -
One-Step Multi-View Clustering With Diverse Representation
Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu
IEEE Transactions on Neural Networks and Learning Systems, TNNLS, 2024 (CCF B, 一区) -
An Efficient Federated Multi-view Fuzzy C-Means Clustering Method
Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu
IEEE Transactions on Fuzzy Systems, TFS, 2023 (CCF B, 一区) -
Contrastive Multi-view Kernel Learning [code]
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia
IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2023 (CCF A, 一区) -
Multi-view Deep Anomaly Detection: A Systematic Exploration [Supp] [code]
Siqi Wang*, Jiyuan Liu* (contributed equally), Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang
IEEE Transactions on Neural Networks and Learning Systems, TNNLS, 2022 (CCF B, 一区) -
Spare simple MKKM with semi-infinite linear program optimization
Yuxin Huang, Miaomiao Li, Wenxuan Tu, Jiyuan Liu, Jiahao Ying
International Journal of Intelligent Systems, IJIS, 2021 (CCF C, 一区) -
Multi-view Subspace Clustering via Co-training Robust Data Representation [code]
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He
IEEE Transactions on Neural Networks and Learning Systems, TNNLS, 2021 (CCF B, 一区) -
Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels [code]
Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang
IEEE Transactions on Knowledge and Data Engineering, TKDE, 2020 (CCF A, ESI 1%) -
MalDetect: A Structure of Encrypted Malware Traffic Detection [code]
Jiyuan Liu, Yingzhi Zeng, Jiangyong Shi, Yuexiang Yang, Rui Wang, Liangzhong He
Computers, Materials and Continua, CMC, 2019 (SCI)