Full Paper List

2024

  1. Zijie Fang, Yifeng Wang, Peizhang Xie, Zhi Wang, Yongbing Zhang. HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization. IEEE Transactions on Medical Imaging (TMI), 2024. (SCI-Q1, CCF-B, IF5=11.3, Accepted)
  2. Zijie Fang, Yifeng Wang, Ye Zhang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang. MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. (CCF-B, Accepted)
  3. Yiyang Lin, Yifeng Wang, Zijie Fang (Co-first), Zexin Li, Xianchao Guan, Danling Jiang, Yongbing Zhang. A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer. IEEE Transactions on Medical Imaging (TMI), 2024. (SCI-Q1, CCF-B, IF5=11.3, Accepted)
  4. Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang. Category Prompt Mamba Network for Nuclei Segmentation and Classification. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A, acceptance rate=23.4%, Accepted)
  5. Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang. DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. (SCI-Q1, CCF-B, IF5=7.1, Accepted)
  6. Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Jun Tan, Yongbing Zhang, Hong Shen. Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024. (SCI-Q1, CCF-B, Under Review)

2023

  1. Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang. Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 37, no. 1, pp. 606-613, 2023. (CCF-A, acceptance rate=19.6%, Oral)
  2. Ziyue Wang, Zijie Fang (Co-first), Yang Chen, Zexi Yang, Xinhao Liu, Yongbing Zhang. Semi-Supervised Cell Instance Segmentation for Multi-Modality Microscope Images. Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, PMLR, 2023. (Co-first author, competition summary paper for CellSeg Challenge @ NeurIPS 2022)
  3. Ziyue Wang, Yang Chen, Zijie Fang, Hao Bian, Yongbing Zhang. Multi-task RetinaNet for Mitosis Detection. Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2023. (Competition summary paper for MIDOG Challenge @ MICCAI 2022)
  4. Yang Chen, Zhuchen Shao, Hao Bian, Zijie Fang, Yifeng Wang, Yuanhao Cai, Haoqian Wang, Guojun Liu, Xi Li, Yongbing Zhang. dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. IEEE Journal of Biomedical and Health Informatics (JBHI), vol. 27, no. 9, pp. 4433–4443, 2023. (SCI-Q1, CCF-C, IF5=7.1)
  5. Zexin Li, Yiyang Lin, Yifeng Wang, Zijie Fang, Hao Bian, Runze Hu, Xiu Li, Yongbing Zhang. ST-MKSC: The FF-FFPE Stain Transfer Based on Multiple Key Structure Constraint. IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023.
  6. Yiyang Lin, Yifeng Wang, Yang Chen, Zirui Zhu, Zijie Fang, Miaorun Lin, Zexin Li, Yongbing Zhang. Unpaired H&E to PR Stain Transfer with Self-Supervised Auxiliary Segmentation. IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023.
  7. Zhuchen Shao, Liuxi Dai, Jitendra Jonnagaddala, Yang Chen, Yifeng Wang, Zijie Fang, Yongbing Zhang. Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer. JCO Clinical Cancer Informatics, no. 7, p. e2200178, 2023.

2022

  1. Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang. Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 2, pp. 1630-1637, 2022. (CCF-A, acceptance rate=15%)

2021

  1. 许小龙，方子介，齐连永，窦万春，何强，段玉聪. 车联网边缘计算环境下基于深度强化学习的分布式服务卸载方法. 计算机学报, vol.44, no. 12, pp. 2382-2405, 2021. (in Chinese, Student first, CCF-A, CNKI highly cited, 中国知网高被引论文)
  2. Xiaolong Xu, Zijie Fang, Jie Zhang, Qiang He, Dongxiao Yu, Lianyong Qi, Wanchun Dou. Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City. ACM Transactions on Sensor Networks (TOSN), vol. 17, no. 3, Article 29, 2021. (Student first, SCI-Q2, CCF-B, ESI highly cited)
  3. Xiaolong Xu, Zijie Fang, Lianyong Qi, Xuyun Zhang, Qiang He, Xiaokang Zhou. TripRes: Traffic Flow Prediction Driven Resource Reservation for Multimedia IoV with Edge Computing. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 17, no. 2, Article 41, 2021. (Student first, SCI-Q1, CCF-B)
  4. Zijie Fang, Xiaolong Xu, Muhammad Bilal, Alireza Jolfaei. Renewable Prediction-driven Service Offloading for IoTenabled Energy Systems with Edge Computing. Wireless Networks (WINET), 2021. (SCI-Q2, CCF-C)

2020

  1. Zijie Fang, Xiaolong Xu, Fei Dai, Lianyong Qi, Xuyun Zhang, Wanchun Dou. Computation Offloading and Content Caching with Traffic Flow Prediction for Internet of Vehicles in Edge Computing. IEEE International Conference on Web Services (ICWS), pp. 380-388, 2020. (Top-1 Conference in Service Computing, CCF-B)