Zihang Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Medical Image Segmentation

Wavelet Denoising

Ensemble Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Biomed. Signal Process. Control.

Publications

Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv
Continuous-Time User Preference Modelling for Temporal Sets Prediction. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Zihang Liu, Haoran Zhang, Chunhui Zhao
Prototype-oriented contrastive learning for semi-supervised medical image segmentation. Biomed. Signal Process. Control. 88 (Part A) (2024)
Zihang Liu, Le Yu, Weimiao Li, Tongyu Zhu, Leilei Sun
Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks. KSEM (3) (2024)
Xinyi Liu, Zihang Liu, Yongjun Zhang, Zhi Gao, Yuhui Tan
. ICCA (2024)
Zihang Liu, Le Yu, Tongyu Zhu, Leilei Sun
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling. CoRR (2023)
Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
Predicting Temporal Sets with Simplified Fully Connected Networks. AAAI (2023)
Zihang Liu, Chunhui Zhao
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training. CoRR (2022)
Yunhao Du, Zihang Liu, Fei Su
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking. CoRR (2022)
Zihang Liu, Chunhui Zhao, Yan Lu, Yu Jiang, Jingtian Yan
Multi-scale graph learning for ovarian tumor segmentation from CT images. Neurocomputing 512 (2022)
Lei Tang, Zihang Liu, Rongguo Zhang, Zongtao Duan, Yunji Liang
Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Zihang Liu
Research on Short-term Load Forecasting of Power System Based on Wavelet Denoising and Artificial Neural Network. CSSE (2022)
Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction. CoRR (2022)
Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection. SemEval@NAACL (2022)
Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma
The anomaly segmentation via dynamic branch fusion. IEEE BigData (2021)
Lei Tang, Zongtao Duan, Yishui Zhu, Junchi Ma, Zihang Liu
Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data. IEEE Trans. Intell. Transp. Syst. 22 (2) (2021)
Lei Tang, Zihang Liu, Yaling Zhao, Zongtao Duan, Jingchi Jia
Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Zihang Liu, Chunhui Zhao
A residual network for de novo peptide sequencing with attention mechanism. ICARCV (2020)
Zihang Liu, Yu-Ru Lin, Maoquan Wang, Zhao Lu
Discovering Opinion Changes in Online Reviews via Learning Fine-Grained Sentiments. CIC (2016)