Zhicheng Jiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation. | Kang Liu, Zhuoqi Ma, Xiaolu Kang, Yunan Li, Kun Xie, Zhicheng Jiao, Qiguang Miao |
| 2025 | ICCV | Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models. | Xiao Liang, Di Wang, Zhicheng Jiao, Ronghan Li, Pengfei Yang, Quan Wang, Tat-Seng Chua |
| 2025 | MASS | RFID-Based Vital Sign Monitoring Under Motion Using Physics-Informed Generative Models. | Ningning Wang, Yiting Wang, Tianya Zhao, Yuwei Dai, Harrison X. Bai, Karthik Suresh, Zhicheng Jiao, Shiwen Mao, Xuyu Wang |
| 2025 | MICCAI | Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning. | Haoyue Guan, Yuwei Dai, Shadi Afyouni, Alec Kain, Wen-Chi Hsu, Jiashu Cheng, Sophie Yao, Yuli Wang, Jing Wu, Rishitha Pulakhandam, Lin-Mei Zhao, Chengzhang Zhu, Zhicheng Jiao, Craig Jones, Harrison Bai |
| 2024 | ICCCN | ECG-grained Cardiac Monitoring Using RFID. | Ningning Wang, Tianya Zhao, Shiwen Mao, Harrison X. Bai, Zhicheng Jiao, Xuyu Wang |
| 2024 | MICCAI | Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering. | Xiao Liang, Yin Wang, Di Wang, Zhicheng Jiao, Haodi Zhong, Mengyu Yang, Quan Wang |
| 2024 | MICCAI | Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. | Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao |
| 2023 | MICCAI | Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation. | Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao |
| 2023 | MICCAI | Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. | Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison X. Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao |
| 2022 | MICCAI | Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. | Yang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao |
| 2020 | AAAI | Hybrid Graph Neural Networks for Crowd Counting. | Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng |
| 2020 | ECCV | Cascade Graph Neural Networks for RGB-D Salient Object Detection. | Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu |
| 2020 | MICCAI | A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. | Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan |
| 2019 | IJCAI | Decoding EEG by Visual-guided Deep Neural Networks. | Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. | Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. | Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. | Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. | Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao |
| 2019 | MICCAI | Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. | Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. | Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao |
| 2019 | MICCAI | A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. | Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao |