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ORCIDYihang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2026
[j15]Jiangdong Ai
, Fankang He, Yihang Liu, Bo Ning:
On the degree power sum in P k -free graphs. Discret. Appl. Math. 381: 66-70 (2026)- [j14]Yihang Liu, Zhanfeng Huang, Yifan Zou, Chenyan Sun:
Genetic Algorithm-Optimized Nonlinear Active Disturbance Rejection Control for Stability Enhancement in Linear Motors. J. Circuits Syst. Comput. 35(1) (2026) - 2025
- [j13]Hongxia Wang, Yihang Liu, Xiangqian Liu:
A Value Iteration Algorithm for Stochastic Linear Quadratic Regulator. J. Optim. Theory Appl. 207(2): 20 (2025) - [j12]Shiyu Shen, Bin Pan, Yixin Wang, Yihang Liu, Zhenwei Shi:
A Second-Order Stationarity-Based Confidence Assessment Method for Temperature Forecast. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j11]Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang:
FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations. IEEE J. Biomed. Health Informatics 29(6): 4290-4302 (2025) - [j10]Longzhen Yang, Lianghua He, Die Hu, Yihang Liu, Yitao Peng, Hongzhou Chen, MengChu Zhou:
Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9500-9511 (2025) - [j9]Yiming Chen, Yihang Liu, Gizem Kayar-Ceylan:
CSG-based ML-supported 3D translation of sketches into game assets for game designers. Vis. Comput. 41(8): 5891-5903 (2025) - [c6]Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen:
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. AAAI 2025: 18996-19005 - [c5]Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen:
Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation. ACM Multimedia 2025: 2958-2967 - [c4]Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen:
RadLAS: A Foundation Model for Interpretable Radiography Image Analysis with Lesion-Aware Self-Supervised Pre-training. ACM Multimedia 2025: 10847-10856 - [i15]Hongyu Ge, Longkun Hao, Zihui Xu, Zhenxin Lin, Bin Li, Shoujun Zhou, Hongjin Zhao, Yihang Liu:
ClinKD: Cross-Modal Clinic Knowledge Distiller For Multi-Task Medical Images. CoRR abs/2502.05928 (2025) - [i14]Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen:
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. CoRR abs/2504.10972 (2025) - [i13]Andrew J. Loza, Jun Yup Kim, Shangzheng Song, Yihang Liu, Joseph J. Y. Sung, R. Andrew Taylor, Dennis L. Shung:
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data. CoRR abs/2505.21680 (2025) - [i12]Songhao Li, Jonathan Xu, Tiancheng Bao, Yuxuan Liu, Yuchen Liu, Yihang Liu, Lilin Wang, Wenhui Lei, Sheng Wang, Yinuo Xu, Yan Cui, Jialu Yao, Shunsuke Koga, Zhi Huang:
A co-evolving agentic AI system for medical imaging analysis. CoRR abs/2509.20279 (2025) - [i11]Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen:
Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation. CoRR abs/2509.25963 (2025) - [i10]Sheng Wang, Ruiming Wu, Charles Herndon, Yihang Liu, Shunsuke Koga, Jeanne Shen, Zhi Huang:
Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior. CoRR abs/2510.04587 (2025) - [i9]Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He:
All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs. CoRR abs/2512.07580 (2025) - 2024
- [j8]Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan:
A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data. Remote. Sens. 16(23): 4545 (2024) - [j7]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) - [j6]Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang:
Decoupling Deep Learning for Enhanced Image Recognition Interpretability. ACM Trans. Multim. Comput. Commun. Appl. 20(10): 309:1-309:24 (2024) - [c3]Yihang Liu, Bing Xu:
Temperature Control of Continuous Stirred Tank Reactor Based on RTO-ANN-MPC. ICCIR 2024: 234-238 - [c2]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. ACM Multimedia 2024: 7852-7861 - [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
- [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) - [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) - 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 - 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)
2010 – 2019
- 2019
- [j1]Yihang Liu, Peiyan Yuan:
Saliency Detection Using Global and Local Information Under Multilayer Cellular Automata. IEEE Access 7: 72736-72748 (2019)
Coauthor Index
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