Jun Shi

30 papers A* 1A 1B 2Misc 2Journal 10Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clore: Interactive Pathology Image Segmentation with Click-based Local Refinement.
CoRR
Tiantong Wang, Minfan Zhao, Jun Shi, Hannan Wang, Yue Dai
2026 J jnl
PromptSeg: An End-to-End Universal Medical Image Segmentation Method via Visual Prompts.
Entropy
Minfan Zhao, Bingxun Wang, Jun Shi, Hong An
2025 A conf
CIExplorer: Microarchitecture-Aware Exploration for Tightly Integrated Custom Instruction.
ICS
Xiaoyu Hao, Sen Zhang, Liang Qiao, Qingcai Jiang, Jun Shi, Junshi Chen, Hong An, Xulong Tang, Hao Shu, Honghui Yuan
2025 Misc conf
Carver: Learning to Reconstruct Right Ventricle from Sparse Multi-View 2D Echocardiograms.
ICASSP
Yida Li, Jun Shi, Zhaohui Wang, Tiantong Wang, Ziqi Zhu, Minfan Zhao, Junshi Chen, Hong An
2025 J jnl
FlashOmni: A Unified Sparse Attention Engine for Diffusion Transformers.
CoRR
Liang Qiao, Yue Dai, Yeqi Huang, Hongyu Kan, Jun Shi, Hong An
2025 J jnl
Large Language Model Aided Birt-Hogg-Dube Syndrome Diagnosis with Multimodal Retrieval-Augmented Generation.
CoRR
Haoqing Li, Jun Shi, Xianmeng Chen, Qiwei Jia, Rui Wang, Wei Wei, Hong An, Xiaowen Hu
2025 Misc conf
PromptSeg: Learning to Segment Medical Image via Visual Prompts.
ICASSP
Minfan Zhao, Ziqi Zhu, Jun Shi, Zhaohui Wang, Junshi Chen, Hong An, Bing Yan
2025 — conf
Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning.
ASPLOS (2)
Liang Qiao, Jun Shi, Xiaoyu Hao, Xi Fang, Sen Zhang, Minfan Zhao, Ziqi Zhu, Junshi Chen, Hong An, Xulong Tang, Bing Li, Honghui Yuan, Xinyang Wang
2025 B conf
WinRS: Accelerate Winograd Backward-Filter Convolution with Tiny Workspace.
ICPP
Zhiyi Zhang, Junshi Chen, Jingwei Sun, Pengfei Zhang, Zhuopin Xu, Jun Shi, Qi Wang
2024 — conf
Clisp: A Robust Interactive Segmentation Framework for Pathological Images.
EMBC
Hannan Wang, Jun Shi, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An
2024 A* conf
Predictive Accuracy-Based Active Learning for Medical Image Segmentation.
IJCAI
Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan
2024 J jnl
Predictive Accuracy-Based Active Learning for Medical Image Segmentation.
CoRR
Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan
2024 J jnl
Pruner: An Efficient Cross-Platform Tensor Compiler with Dual Awareness.
CoRR
Liang Qiao, Jun Shi, Xiaoyu Hao, Xi Fang, Minfan Zhao, Ziqi Zhu, Junshi Chen, Hong An, Bing Li, Honghui Yuan, Xinyang Wang
2024 J jnl
Rethinking automatic segmentation of gross target volume from a decoupling perspective.
Comput. Medical Imaging Graph.
Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan
2023 — conf
Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations.
CMMCA@MICCAI
Ziqi Zhu, Jun Shi, Minfan Zhao, Zhaohui Wang, Liang Qiao, Hong An
2023 — conf
FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images.
ISBI
Qiang Liu, Jun Shi, Liang Qiao, Ziqi Zhu, Hong An, Minfan Zhao
2023 — conf
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation.
MICCAI (4)
Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue
2023 J jnl
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation.
CoRR
Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue
2023 B conf
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer.
SMC
Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei
2023 J jnl
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer.
CoRR
Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei
2022 — conf
Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation.
EMBC
Jun Shi, Zhaohui Wang, Hongyu Kan, Minfan Zhao, Xudong Xue, Bing Yan, Hong An, Jianjun Shen, Joseph Bartlett, Wenqi Lu, Jinming Duan
2022 — conf
FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation.
EMBC
Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang
2022 — conf
ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation.
EMBC
Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang
2022 — conf
Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training.
EMBC
Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Hong An, Wenting Han, Joseph Bartlett, Wenqi Lu
2021 — conf
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images.
BIBM
Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei
2021 J jnl
Dual-Attention Residual Network for Automatic Diagnosis of COVID-19.
CoRR
Jun Shi, Huite Yi, Xiaoyu Hao, Hong An, Wei Wei
2021 — conf
Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation.
ISBI
Min Ling, Guofeng Lv, Jue Wang, Xiaoyu Hao, Jun Shi, Hong An
2021 — conf
Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer.
ISBI
Huite Yi, Jun Shi, Bing Yan, Xudong Xue, Hong An, Hongyan Zhang
2021 — conf
Simultaneous Right Ventricle End-diastolic and End-systolic Frame Identification and Landmark Detection on Echocardiography.
EMBC
Zhaohui Wang, Jun Shi, Xiaoyu Hao, Ke Wen, Xu Jin, Hong An
2020 — conf
A Novel U-Like Network For The Segmentation Of Thoracic Organs.
ISBI Workshops
Jun Shi, Ke Wen, Xiaoyu Hao, Xudong Xue, Hong An, Hongyan Zhang