Ao Li Homepage

AO LI （李骜）

I received the B.S. degree in electronic information engineering and the Ph.D. degree in communications and information systems from Harbin Engineering University in 2009 and 2014, respectively. I worked as a research assistant sponsored by Prof. Zhiqiang Wu at Wright State University, from 2017 to 2018, who currently serves as the Executive Dean, Peking University AI Research Institute (Wuhan).

I am currently a Full Professor at the School of Computer Science and Technology, Harbin University of Science and Technology. I'm also the deputy director of Key Laboratory of Intelligent Information Processing and Applications in Heilongjiang Province, and the reserve leader of Leading Talent Echelon on Computer Applied Technologies of Heilongjiang Province .

My research interests include representation learning, multiview learning, sparse representation, and their applications to computer vision and data mining.

Email / Google Scholar / Github

Services

Reviewer for: IEEE TCSVT, IEEE TCYB, IEEE TNNLS, IEEE TNSE, IEEE TR, Information Fusion, Neural Networks, Knowledge-based Systems, Information Sciences, Expert Systems with Applications, Signal Processing, Remote Sensing, Biomedical Signal Processing and Control, etc

Council Member , Association for Artificial Intelligence of Heilongjiang Province

Projects

National Key Research and Development Program(Young Scientist Project), Principal Investigator, 2023.01 - 2026.12.

National Natural Science Foundation(General Project), Principal Investigator, 2020.01 - 2024.12.

National Natural Science Foundation(Young Project), Principal Investigator, 2016.01 - 2018.12.

Natural Science Foundation of Heilongjiang Province (Excellent Young Project), Principal Investigator, 2019.07 - 2022.07.

Enterprise-Sponsored Research Projects by Shanghai Academy of Spaceflight Technology, CETC, etc.

Recent news

One paper "Dual-consistency Graph-Spectral Embedding Joint Learning for Multi-view Single-cell Clustering" has been accepted by Knowledge-based Systems, 2025.

One paper "Learning to Discriminate While Contrasting: Combating False Negative Pairs with Coupled Contrastive Learning for Incomplete Multi-View Clustering" has been accepted by IEEE TKDE, 2025.

One paper "Auto-weighted multi-dimensional feature fusion for incomplete multi-view clustering" has been accepted by Signal Processing, 2025.

Publications

	Dual-consistency Graph-Spectral Embedding Joint Learning for Multi-view Single-cell Clustering Ao Li, Tongtong Ji, Chunrui Wang, Fengwei Gu, Tianyu Gao, Lili Zhou Knowledge-Based Systems*, 2025 paper / code
	Learning to Discriminate While Contrasting: Combating False Negative Pairs with Coupled Contrastive Learning for Incomplete Multi-View Clustering Yu Ding, Katsuya Hotta, Chunzhi Gu, Ao Li, Jun Yu, Chao Zhang IEEE Transactions on Knowledge and Data Engineering*, 2025 paper / code
	Auto-weighted multi-dimensional feature fusion for incomplete multi-view clustering Ao Li, Xinya Xu, Lijuan Zhou, Yanbing Wang, Tianyu Gao Signal Processing, 2025 paper / code
	Deep Incomplete Multiview Clustering via Local and Global Pseudo-Label Propagation Cong Feng, Ao Li, Haoyue Xu, Hailu Yang, Xinwang Liu IEEE Transactions on Neural Networks and Learning Systems*, 2024 paper / code
	Contrastive Continual Multiview Clustering With Filtered Structural Fusion X. Wan, J. Liu, H. Yu, Q. Qu, Ao Li, Xinwang Liu, K. Liang, Z. Dong, Zhu En* IEEE Transactions on Neural Networks and Learning Systems, 2025 paper / code
	Incomplete multiview subspace clustering based on multiple kernel low-redundant representation learning Ao Li, Cong Feng, Yuan Cheng, Yingtao Zhang, Hailu Yang Information Fusion, 2023 paper / code
	Graph t-SNE multi-view autoencoder for joint clustering and completion of incomplete multi-view data Ao Li, Cong Feng, Shibiao Xu, Yuan Cheng Knowledge-Based Systems, 2023 paper / code
	Incomplete multi-view clustering via local and global bagging of anchor graphs Ao Li, Haoyue Xu, Cong Feng, Shibiao Xu, Yuan Cheng Expert Systems with Applications, 2024 paper / code
	Deep Spectral Clustering Network for Incomplete Multi-view Clustering Ao Li, S. Mei, C. Feng, et al Engineering Applications of Artificial Intelligence, 2025 paper / code
	HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection S. Xu, S. Zheng, W. Xu, R. Xu, C. Wang, J. Zhang, X. Teng, Ao Li, Li Guo IEEE International Conference on Multimedia and Expo(ICME)*, 2024 paper / code
	KBGCN: Enhance K-th bias GCN via K-1 hop neighborhood distribution Hailu Yang, Zhixin Lin, Ao Li, et al Expert Systems with Applications*, 2025 paper / code
	Anchor-based incomplete multi-view clustering with graph convolution network Ao Li, Tianyu Gao, Yanbing Wang, Cong Feng Applied Intelligence, 2025 paper / code
	Tensor-based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data Ao Li, Jiajia Chen, Deyun Chen, Xiaoyang Yu, Mengke Yuan, Shibiao Xu IEEE Transactions on Reliability, 2021 paper / code
	Adaptive Graph Clustering for Hyperspectral Band Selection via Joint Spatial-Spectral Correlation and Hybrid-order Similarity Ao Li, Haitian Ye, Qihui Wu, Fengwei Gu, and Libin Zhao International Journal of Remote Sensing (IJRS)* , 2025 paper / code
	DW-D3A: dynamic weighted dual-driven domain adaptation for cross-scene hyperspectral image classification Ao Li, Qihui Wu, Cong Feng, Haitian Ye, Hailu Yang International Journal of Remote Sensing, 2024 paper / code
	Multiscale graph convolution residual network for hyperspectral image classification Ao Li, Yuegong Sun, Cong Feng, et al Journal of Applied Remote Sensing, 2024 paper / code
	Complete object feature diffusion network for occluded person re-identification Ao Li, Chunrui Shao, Lijuan Zhou, et al Digital Signal Processing, 2025 paper / code
	Unsupervised multimodal domain adversarial network for time series classification L. Xi, Y. Liang, X. Huang, H. Liu, Ao Li Information Sciences, 2023 paper / code
	Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection L. Xi, C. Liang, H. Liu, Ao Li Knowledge-Based Systems, 2023 paper / code
	NVW-YOLOv8s: An improved YOLOv8s network for real-time detection and segmentation of tomato fruits at different ripeness stages Aichen Wang, Weihao Qian, Ao Li, et al Computers and Electronics in Agriculture, 2024 paper / code
	D3-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang Agriculture, 2024 paper / code
	面向视角非对齐数据的多视角聚类方法李骜, 冯聪, 牛宇童, 徐士彪, 张英涛, 孙广路通信学报, 2022 paper / code
	不完备数据的鲁棒多视角图学习及其聚类应用李骜, 陈嘉佳, 于晓洋, 陈德运, 张英涛, 孙广路控制与决策, 2022 paper / code
	多核低冗余表示学习的稳健多视图子空间聚类方法李骜, 王卓, 于晓洋, 陈德运, 张英涛, 孙广路通信学报, 2021 paper / code
	基于多标签语义相似性引导的跨模态哈希检索方法李骜, 谢委衡, 高天宇, 邵春锐, 于露光电子·激光, 2024 paper / code
	A new image encryption algorithm with feedback key mechanism using two-dimensional dual discrete quadratic chaotic map Fang Yin, Ao Li, Chunyan Lv, Rui Wu, Suo Gao Nonlinear Dynamics, 2024 paper / code
	Multiview Similarity Learning for Robust Visual Clustering Ao Li, Jiajia Chen, Deyun Chen, Guanglu Sun Asian Conference on Computer Vision(ACCV), 2020 paper / code
	ST-CFSFDP algorithm based on Euclidean distance constraint Junqiao Jiang, Yuan Cheng, Ao Li IEEE International Conference on Mobile AD Hoc and Smart Systems(MASS), 2021 paper / code

Patents

Clustering Method for Incomplete Multi-view Remote Sensing Data Based on Graph Convolutional Manifold Regularization with Pseudo-label Guidance, 2024, China, ZL202311805159.

Deep Online Anchor Subspace Learning-Based Incomplete Multi-View Large-Scale Animal Image Clustering Method, 2024, China, ZL202410247864.

Method for Visible-Infrared Person Re-Identification Based on Partition-Aware Network, 2024, China, ZL202410022752.

View-specific Local Pseudo-label Propagation-based Method for Incomplete Multi-view Scene Image Clustering, 2023, CN202311805148.

Incomplete Multi-View News Data Clustering Method Based on Anchor Subspace Learning, 2023, China, ZL202310216669.

Reliable Multi-View Learning Method and Device Based on Data Reconstruction, 2022, China, ZL202110562269.

Domain Adaptation Subspace Learning Method Based on Interactive Representation, 2022, China, ZL202110568711.

Updated at June. 2024

Thanks Jon Barron for this amazing template.