Ziyao Li

According to our database, Ziyao Li authored at least 21 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning discrete adaptive receptive fields for graph convolutional networks.

Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi

Sci. China Inf. Sci., December, 2023

Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection.

Zhi Gao, Xuhui Zhao, Min Cao, Ziyao Li, Kangcheng Liu, Ben M. Chen

IEEE Trans. Intell. Transp. Syst., October, 2023

Image Deblurring With Image Blurring.

Ziyao Li, Zhi Gao, Han Yi, Yu Fu, Boan Chen

IEEE Trans. Image Process., 2023

A General Target Tracking and Sample Generation Framework for Satellite Videos Leveraging on Geometry-Aware Low-Rank Representation.

Xuhui Zhao, Ziqian Huang, Anqi Zhao, Ziyao Li, Zhi Gao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Large Scale Network Embedding: A Separable Approach.

Guojie Song, Liang Zhang, Ziyao Li, Yi Li

IEEE Trans. Knowl. Data Eng., 2022

Equivalent Distance Geometry Error for Molecular Conformation Comparison.

Shuwen Yang, Tianyu Wen, Ziyao Li, Guojie Song

CoRR, 2022

2021

Semantic Segmentation Leveraging Simultaneous Depth Estimation.

Wenbo Sun, Zhi Gao, Jinqiang Cui, Bharath Ramesh, Bin Zhang, Ziyao Li

Sensors, 2021

Stepping Back to SMILES Transformers for Fast Molecular Representation Inference.

Wenhao Zhu, Ziyao Li, Lingsheng Cai, Guojie Song

CoRR, 2021

HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks.

Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai

CoRR, 2021

Deep Molecular Representation Learning via Fusing Physical and Chemical Information.

Shuwen Yang, Ziyao Li, Guojie Song, Lingsheng Cai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inverse Domain Adaptation for Remote Sensing Images Using Wasserstein Distance.

Ziyao Li, Rui Wang, Man-On Pun, Zhiguo Wang, Huiliang Yu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Conformation-Guided Molecular Representation with Hamiltonian Neural Networks.

Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.

Yingtao Zhang, Yan Liu, Heng-Da Cheng, Ziyao Li, Cong Liu

Medical Biol. Eng. Comput., 2020

Learning Node Representations from Noisy Graph Structures.

Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts.

Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.

Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie

CoRR, 2019

Remote Sensing Semantic Segregation for Water Information Extraction: Optimization of Samples via Training Error Performance.

Rui Wang, Yizhuo Meng, Wen Zhang, Ziyao Li, Fengmin Hu, Lingkui Meng

IEEE Access, 2019

Multiscale Features Supported DeepLabV3+ Optimization Scheme for Accurate Water Semantic Segmentation.

Ziyao Li, Rui Wang, Wen Zhang, Fengmin Hu, Lingkui Meng

IEEE Access, 2019

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks.

Ziyao Li, Liang Zhang, Guojie Song

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Study on the Effect of Flexible Human Resource Practice on Group Citizenship Behavior.

Ying Huang, Ziyao Li, Jing Wang

Proceedings of the Recent Advances in Data Science, 2019

SepNE: Bringing Separability to Network Embedding.

Ziyao Li, Liang Zhang, Guojie Song

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019