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ORCIDZihang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Zihang Liu 0001
![[0000-0002-4114-7960]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4114-7960")
— Zhejiang University, Hangzhou, China
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2020 – today
- 2025
[j7]Zihang Liu, Donglin Jing, Chenxiang Ji:
ProCo-NET: Progressive Strip Convolution and Frequency- Optimized Framework for Scale-Gradient-Aware Semantic Segmentation in Off-Road Scenes. Symmetry 17(9): 1428 (2025)- [c10]Zihang Liu, Jiawei Guo, Hao Zhang, Hongyang Chen, Jiajun Bu, Haishuai Wang:
Long-form Hallucination Detection with Self-elicitation. ACL (Findings) 2025: 4082-4100 - [c9]Yihan Mei, Zihang Liu, Shengyang Xu, Zhao Wu, Zhibin Zhou:
GeneyMAP: Designing GenAI-empowered User Journey Mapping Tool. CHI Extended Abstracts 2025: 307:1-307:11 - [c8]Zihang Liu, Zhenyu Zhang, Hao Tang:
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution. IJCAI 2025: 1666-1674 - [i7]Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao:
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models. CoRR abs/2503.02318 (2025) - [i6]Zihang Liu, Zhenyu Zhang, Hao Tang:
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution. CoRR abs/2505.07071 (2025) - [i5]Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu:
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. CoRR abs/2506.00772 (2025) - [i4]Zhifei Xie, Ziyang Ma, Zihang Liu, Kaiyu Pang, Hongyu Li, Jialin Zhang, Yue Liao, Deheng Ye, Chunyan Miao, Shuicheng Yan:
Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models. CoRR abs/2508.15827 (2025) - 2024
- [j6]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) - [j5]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) - [c7]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 - [c6]Xinyi Liu, Zihang Liu, Yongjun Zhang, Zhi Gao, Yuhui Tan:
UMeshSegNet: Semantic Segmentation of 3D Mesh Generated from UAV Photogrammetry *. ICCA 2024: 388-393 - [i3]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) - 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 - [i2]Zihang Liu, Chunhui Zhao:
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training. CoRR abs/2202.06104 (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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