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ORCIDYihang Liu
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Journal Articles
- 2024
[j6]Yitao Peng
, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang:
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. IEEE Trans. Multim. 26: 5311-5325 (2024)- 2023
- [j5]Ke Liu, Hongchao Ma, Liang Zhang, Xiaoli Liang, Dachang Chen, Yihang Liu:
Roof Segmentation From Airborne LiDAR Using Octree-Based Hybrid Region Growing and Boundary Neighborhood Verification Voting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2134-2146 (2023) - 2020
- [j4]Guoqi Liu, Yifei Dong, Ming Deng, Yihang Liu:
Magnetostatic Active Contour Model with Classification Method of Sparse Representation. J. Electr. Comput. Eng. 2020: 5438763:1-5438763:10 (2020) - [j3]Yihang Liu, Qican Zhang, Haihua Zhang, Zhoujie Wu, Wenjing Chen:
Improve Temporal Fourier Transform Profilometry for Complex Dynamic Three-Dimensional Shape Measurement. Sensors 20(7): 1808 (2020) - [j2]Peiyan Yuan, Yunyun Cai, Yihang Liu, Junna Zhang, Yali Wang, Xiaoyan Zhao:
ProRec: a unified content caching and replacement framework for mobile edge computing. Wirel. Networks 26(4): 2929-2941 (2020) - 2019
- [j1]Yihang Liu, Peiyan Yuan:
Saliency Detection Using Global and Local Information Under Multilayer Cellular Automata. IEEE Access 7: 72736-72748 (2019)
Conference and Workshop Papers
- 2021
- [c1]Wanying Dou, Yihang Liu, Zehai Liu, Dauren Yerezhepov, Ulan Kozhamkulov, Ainur Akilzhanova, Omar Dib, Chee-Kai Chan:
An AutoML Approach for Predicting Risk of Progression to Active Tuberculosis based on Its Association with Host Genetic Variations. ICBBS 2021: 82-88
Informal and Other Publications
- 2024
- [i8]Changli Wu, Yihang Liu, Jiayi Ji, Yiwei Ma, Haowei Wang, Gen Luo, Henghui Ding, Xiaoshuai Sun, Rongrong Ji:
3D-GRES: Generalized 3D Referring Expression Segmentation. CoRR abs/2407.20664 (2024) - [i7]Hongzhou Chen, Lianghua He, Yihang Liu, Longzhen Yang:
Visual Neural Decoding via Improved Visual-EEG Semantic Consistency. CoRR abs/2408.06788 (2024) - 2023
- [i6]Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He:
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. CoRR abs/2301.04970 (2023) - [i5]Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang:
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. CoRR abs/2312.01871 (2023) - [i4]Yizhe Yang, Heyan Huang, Yihang Liu, Yang Gao:
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue. CoRR abs/2312.07868 (2023) - 2022
- [i3]Longzhen Yang, Shaohua Shang, Yihang Liu, Yitao Peng, Lianghua He:
Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning. CoRR abs/2205.14458 (2022) - [i2]Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He:
MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. CoRR abs/2207.08046 (2022) - [i1]Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He:
DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. CoRR abs/2210.08336 (2022)
Coauthor Index
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