Yiyang Hu

24 papers A* 1A 2B 2Misc 2Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
ScarMobileViT: A lightweight network for scar classification under class imbalance and few-shot data.
Biomed. Signal Process. Control.
Qiang Yu, Linbo Huang, Bingxin Liu, Yiyang Hu, Xinjie Xu, Xiaorong Ma, Kaiyang Lv
2026 J jnl
TTNet: Three-Stages Tooth Segmentation Network Based on Tooth Masks in CBCT Images.
Int. J. Imaging Syst. Technol.
Jianfeng Lu, Yang Hu, Yiyang Hu, Renlin Xin, Chuhua Song, Mahmoud Emam
2025 J jnl
3D-Aided Pedestrian Representation Learning for Video-Based Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Guquan Jing, Peng Gao, Yujian Lee, Yiyang Hu, Hui Zhang
2025 A conf
Boosting Audio-Visual Segmentation via Triple-Modalities Alignment.
ICME
Yujian Lee, Peng Gao, Zailong Chen, Wentao Fan, Guquan Jing, Yiyang Hu
2025 B conf
Contextual Reasoning for Robust Composed Image Retrieval with Vision-Language Models.
ICMR
Peng Gao, Yujian Lee, Xubo Liu, Hui Zhang, Zailong Chen, Yiyang Hu, Guquan Jing, Yunting Lai
2025 A conf
ESTI: An Efficient Spatial-Temporal Interaction Network For Video-Based Person Re-Identification.
ICME
Guquan Jing, Peng Gao, Yiyang Hu, Yujian Lee, Hui Zhang
2025 Misc conf
Face Relighting with Ratio Function for Explicit Geometric Representation.
ICASSP
Yiyang Hu, Zequn Zhang, Hui Zhang, Guquan Jing, Peng Gao
2025 Misc conf
NCL-CIR: Noise-aware Contrastive Learning for Composed Image Retrieval.
ICASSP
Peng Gao, Yujian Lee, Zailong Chen, Xubo Liu, Hui Zhang, Yiyang Hu, Guquan Jing
2025 J jnl
NCL-CIR: Noise-aware Contrastive Learning for Composed Image Retrieval.
CoRR
Peng Gao, Yujian Lee, Zailong Chen, Hui Zhang, Xubo Liu, Yiyang Hu, Guquang Jing
2025 B conf
Text-Guided Realistic Single Image Relighting with Wavelet Mamba Diffusion Network.
ICMR
Yunting Lai, Hui Zhang, Xin Zhang, Yiyang Hu, Peng Gao, Guquan Jing
2024 J jnl
Identifying the Hierarchical Structure of Nighttime Economic Agglomerations Based on the Fusion of Multisource Data.
ISPRS Int. J. Geo Inf.
Weijie Wan, Hongfei Chen, Xiping Yang, Renda Li, Yuzheng Cui, Yiyang Hu
2024 J jnl
PM2.5 prediction based on dynamic spatiotemporal graph neural network.
Appl. Intell.
Haibin Liao, Mou Wu, Li Yuan, Yiyang Hu, Haowei Gong
2024 — conf
V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion.
WASA (3)
Sheng Yi, Hao Zhang, Feiyu Jin, Yiyang Hu, Rongzhen Li, Kai Liu
2024 — conf
sEMG-Based Ankle Joint Torque Prediction by Combining CNN-LSTM and SENet Attention.
ICARM
Yiyang Hu, Quan Liu, Wei Meng, Junwei Yan, Qingsong Ai, Yi Zhong
2023 J jnl
A Corpus-Based Study of the Distributions of Adnominals Across Registers and Disciplines.
J. Quant. Linguistics
Yiyang Hu, Qingshun He
2023 A* conf
DEdgeNet: Extrinsic Calibration of Camera and LiDAR with Depth-discontinuous Edges.
ICRA
Yiyang Hu, Hui Ma, Leiping Jie, Hui Zhang
2022 J jnl
A Corpus-Driven Study of the Style Variation in The Grapes of Wrath.
Glottometrics
Yiyang Hu, Qingshun He
2021 J jnl
D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.
Comput. Intell. Neurosci.
Xin Wang, Yiyang Hu, Yanhong Luo, Wei Wang
2021 — conf
Research on Rationality of Safety Sign Location Setting Based on Visual Search Performance.
HCI (37)
Guilei Sun, Yiyang Hu, Qi Yang, Junyu Zhou, Yujie Yin
2020 J jnl
A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers.
Comput. Intell. Neurosci.
Wei Wang, Yiyang Hu, Ting Zou, Hongmei Liu, Jin Wang, Xin Wang
2012 — conf
Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B.
BIBM Workshops
Xiaoyu Chen, Na Chu, Lizhuang Ma, Yiyang Hu
2011 — conf
Diagnosis based on decision tree and discrimination analysis for chronic hepatitis b in TCM.
BIBM Workshops
Xiaoyu Chen, Lizhuang Ma, Na Chu, Yiyang Hu
2011 — conf
Ensemble learning for synthesis of the four diagnostics of TCM.
BIBM Workshops
Na Chu, Lizhuang Ma, Xiaoyu Chen, Zhiying Che, Yiyang Hu
2010 — conf
Attribute weighting with probability estimation trees for improving probability-based ranking in liver diagnosis.
BIBM Workshops
Na Chu, Lizhuang Ma, Min Zhou, Yiyang Hu, Ping Liu, Zhiying Che