Zihang Liu

Orcid: 0000-0002-0055-8632

According to our database1, Zihang Liu authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Continuous-Time User Preference Modelling for Temporal Sets Prediction.
IEEE Trans. Knowl. Data Eng., April, 2024

Prototype-oriented contrastive learning for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., February, 2024

Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2024

UMeshSegNet: Semantic Segmentation of 3D Mesh Generated from UAV Photogrammetry <sup>*</sup>.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling.
CoRR, 2023

Predicting Temporal Sets with Simplified Fully Connected Networks.
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.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-scale graph learning for ovarian tumor segmentation from CT images.
Neurocomputing, 2022

EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking.
CoRR, 2022

Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction.
CoRR, 2022

Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training.
CoRR, 2022

HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection.
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.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2021
Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data.
IEEE Trans. Intell. Transp. Syst., 2021

The anomaly segmentation via dynamic branch fusion.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding.
ACM Trans. Knowl. Discov. Data, 2020

A residual network for de novo peptide sequencing with attention mechanism.
Proceedings of the 16th International Conference on Control, 2020

2016
Discovering Opinion Changes in Online Reviews via Learning Fine-Grained Sentiments.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016


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