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2020 – today
- 2024
[j7]Lei Wang, Yikun Zhao
, Yu Zhang, Zihang Liu, Jie Li:
Identification of Activated Sludge Microbial Based on Improving YOLOv8. IEEE Access 12: 152825-152838 (2024)- [j6]Zihang Liu, Haoran Zhang, Chunhui Zhao:
Prototype-oriented contrastive learning for semi-supervised medical image segmentation. Biomed. Signal Process. Control. 88(Part A): 105571 (2024) - [j5]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): 1475-1488 (2024) - [c9]Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang:
Model Balancing Helps Low-data Training and Fine-tuning. EMNLP 2024: 1311-1331 - [c8]Xinyi Liu, Zihang Liu, Yongjun Zhang, Zhi Gao, Yuhui Tan:
UMeshSegNet: Semantic Segmentation of 3D Mesh Generated from UAV Photogrammetry *. ICCA 2024: 388-393 - [c7]Zihang Liu, Le Yu, Weimiao Li, Tongyu Zhu, Leilei Sun:
Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks. KSEM (3) 2024: 233-247 - [i5]Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang:
Model Balancing Helps Low-data Training and Fine-tuning. CoRR abs/2410.12178 (2024) - 2023
- [c6]Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv:
Predicting Temporal Sets with Simplified Fully Connected Networks. AAAI 2023: 4835-4844 - [i4]Zihang Liu, Le Yu, Tongyu Zhu, Leilei Sun:
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling. CoRR abs/2308.11204 (2023) - 2022
- [j4]Zihang Liu, Chunhui Zhao, Yan Lu, Yu Jiang, Jingtian Yan:
Multi-scale graph learning for ovarian tumor segmentation from CT images. Neurocomputing 512: 398-407 (2022) - [j3]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): 12311-12327 (2022) - [c5]Zihang Liu:
Research on Short-term Load Forecasting of Power System Based on Wavelet Denoising and Artificial Neural Network. CSSE 2022: 60-65 - [c4]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: 438-444 - [i3]Zihang Liu, Chunhui Zhao:
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training. CoRR abs/2202.06104 (2022) - [i2]Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv:
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction. CoRR abs/2204.05490 (2022) - [i1]Yunhao Du, Zihang Liu, Fei Su:
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking. CoRR abs/2210.05278 (2022) - 2021
- [j2]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): 1320-1333 (2021) - [c3]Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma:
The anomaly segmentation via dynamic branch fusion. IEEE BigData 2021: 3197-3202 - 2020
- [j1]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): 27:1-27:24 (2020) - [c2]Zihang Liu, Chunhui Zhao:
A residual network for de novo peptide sequencing with attention mechanism. ICARCV 2020: 1165-1170
2010 – 2019
- 2016
- [c1]Zihang Liu, Yu-Ru Lin, Maoquan Wang, Zhao Lu:
Discovering Opinion Changes in Online Reviews via Learning Fine-Grained Sentiments. CIC 2016: 1-10
Coauthor Index
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