Consecutive Context Perceive Generative Adversarial Networks for Serial Sections Inpainting. - Siqi Zhang; Lei Wang 158; Jie Zhang; Ling Gu; Xiran Jiang; Xiaoyue Zhai; Xianzheng Sha; Shijie Chang (IEEE Access, 2020)

Locating abnormal heartbeats in ECG segments based on deep weakly supervised learning. - Yanni Tong; Yinan Sun; Peng Zhou; Yang Shen; Hua Jiang; Xianzheng Sha; Shijie Chang (Biomed. Signal Process. Control., 2021)

A classification system of day 3 human embryos using deep learning. - Chongwei Wu; Wei Yan; Hongtu Li; Jiaxin Li; Hongkai Wang; Shijie Chang; Tao Yu; Ying Jin; Chao Ma; Yahong Luo; Dongxu Yi; Xiran Jiang (Biomed. Signal Process. Control., 2021)

Automatic consecutive context perceived transformer GAN for serial sectioning image blind inpainting. - Lei Wang 158; Siqi Zhang; Ling Gu; Jie Zhang; Xiaoyue Zhai; Xianzheng Sha; Shijie Chang (Comput. Biol. Medicine, 2021)

MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. - Xiran Jiang; Jiaxin Li; Yangyang Kan; Tao Yu; Shijie Chang; Xianzheng Sha; Hairong Zheng; Yahong Luo; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW. - Shijie Chang; Zeqi Hao; Ben Kang; Xiaoqi Zhao; Jiawen Zhu; Zhenyu Chen 001; Lihe Zhang; Lu Zhang 053; Huchuan Lu (CoRR, 2023)

Tracking Anything in High Quality. - Jiawen Zhu; Zhenyu Chen 001; Zeqi Hao; Shijie Chang; Lu Zhang 053; Dong Wang 004; Huchuan Lu; Bin Luo 008; Jun-Yan He; Jin-Peng Lan; Han-Yuan Chen; Chenyang Li 007 (CoRR, 2023)

MA-MIL: Sampling point-level abnormal ECG location method via weakly supervised learning. - Jin Liu; Jiadong Li; Yuxin Duan; Yang Zhou; Xiaoxue Fan; Shuo Li; Shijie Chang (Comput. Methods Programs Biomed., 2024)

High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study. - Shijie Chang; Lihe Zhang; Huchuan Lu (CoRR, 2024)

Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - Xiaoqi Zhao; Youwei Pang; Shijie Chang; Yuan Zhao; Lihe Zhang; Huchuan Lu; Jinsong Ouyang; Georges El Fakhri; Xiaofeng Liu 001 (CoRR, 2024)

Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation. - Xiaoqi Zhao; Shijie Chang; Youwei Pang; Jiaxing Yang; Lihe Zhang; Huchuan Lu (Int. J. Comput. Vis., 2024)

An Optimized GPU Implementation for GIST Descriptor. - Xiang Li 110; Qiong Chang; Aolong Zha; Shijie Chang; Yun Li 015; Jun Miyazaki (ACM Trans. Archit. Code Optim., 2024)

Unified Medical Lesion Segmentation via Self-referring Indicator. - Shijie Chang; Xiaoqi Zhao; Lihe Zhang; Tiancheng Wang (CVPR, 2025)

Generalized deep aerial Multi-view Stereo network based on gradient balance masked representation learning. - Shichao Wang; Mingxing Jia; Shijie Chang; Dapeng Niu (Knowl. Based Syst., 2025)

Beyond mask: Rethinking guidance types in few-shot segmentation. - Shijie Chang; Youwei Pang; Xiaoqi Zhao; Huchuan Lu; Lihe Zhang (Pattern Recognit., 2025)

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model. - Yilong Hu; Shijie Chang; Lihe Zhang; Feng Tian; Weibing Sun; Huchuan Lu (CoRR, 2025)

Super resolution enhanced multi-view stereo network based on Gumbel sampling. - Shichao Wang; Mingxing Jia; Shijie Chang; Dapeng Niu (Expert Syst. Appl., 2026)