Zihang Liu

According to our database, Zihang Liu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Continuous-Time User Preference Modelling for Temporal Sets Prediction.

Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv

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

Prototype-oriented contrastive learning for semi-supervised medical image segmentation.

Zihang Liu, Haoran Zhang, Chunhui Zhao

Biomed. Signal Process. Control., February, 2024

Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.

Zihang Liu, Le Yu, Weimiao Li, Tongyu Zhu, Leilei Sun

Proceedings of the Knowledge Science, Engineering and Management, 2024

UMeshSegNet: Semantic Segmentation of 3D Mesh Generated from UAV Photogrammetry ^*.

Xinyi Liu, Zihang Liu, Yongjun Zhang, Zhi Gao, Yuhui Tan

Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023

A Simple Framework for Multi-mode Spatial-Temporal Data Modeling.

Zihang Liu, Le Yu, Tongyu Zhu, Leilei Sun

CoRR, 2023

Predicting Temporal Sets with Simplified Fully Connected Networks.

Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling.

Lei Tang, Zihang Liu, Rongguo Zhang, Zongtao Duan, Yunji Liang

IEEE Trans. Intell. Transp. Syst., 2022

Multi-scale graph learning for ovarian tumor segmentation from CT images.

Zihang Liu, Chunhui Zhao, Yan Lu, Yu Jiang, Jingtian Yan

Neurocomputing, 2022

EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking.

Yunhao Du, Zihang Liu, Fei Su

CoRR, 2022

Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction.

Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv

CoRR, 2022

Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training.

Zihang Liu, Chunhui Zhao

CoRR, 2022

HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection.

Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Research on Short-term Load Forecasting of Power System Based on Wavelet Denoising and Artificial Neural Network.

Zihang Liu

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2021

Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data.

Lei Tang, Zongtao Duan, Yishui Zhu, Junchi Ma, Zihang Liu

IEEE Trans. Intell. Transp. Syst., 2021

The anomaly segmentation via dynamic branch fusion.

Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding.

Lei Tang, Zihang Liu, Yaling Zhao, Zongtao Duan, Jingchi Jia

ACM Trans. Knowl. Discov. Data, 2020

A residual network for de novo peptide sequencing with attention mechanism.

Zihang Liu, Chunhui Zhao

Proceedings of the 16th International Conference on Control, 2020

2016

Discovering Opinion Changes in Online Reviews via Learning Fine-Grained Sentiments.

Zihang Liu, Yu-Ru Lin, Maoquan Wang, Zhao Lu

Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016