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ORCIDZijie Fang
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2020 – today
- 2024
[j8]Pengyu Zhang, Junfeng Liu, Mingze Ma, Zijie Fang, Hao Zhou
, Jun Zeng:
Review on single-phase high-frequency resonant inverters for current sharing in multiple inverter system. Int. J. Circuit Theory Appl. 52(3): 1547-1567 (2024)- [j7]Yuchen Wang, Yanqin Miao, Gang Fu, Peng Lu, Yikun Yang, Wen Gu, Zijie Fang, Lei Niu:
Norm Emergence through Conflict-Blocking Interactions in Industrial Internet of Things Environments. Sensors 24(18): 6047 (2024) - [j6]Zijie Fang, Xiaolong Xu, Muhammad Bilal, Alireza Jolfaei:
Renewable prediction-driven service offloading for IoT-enabled energy systems with edge computing. Wirel. Networks 30(5): 3721-3733 (2024) - [c9]Zexin Li, Yiyang Lin, Zijie Fang, Shuyan Li, Xiu Li:
AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation. IJCNN 2024: 1-8 - [i7]Zijie Fang, Yifeng Wang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. CoRR abs/2403.05160 (2024) - [i6]Zexin Li, Yiyang Lin, Zijie Fang, Shuyan Li, Xiu Li:
AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation. CoRR abs/2404.10714 (2024) - [i5]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. CoRR abs/2404.14956 (2024) - 2023
- [j5]Yuchen Wang, Zijie Fang, Xiaoyong Sun, Xuefen Lin, Lei Niu, Weifeng Ma:
An adaptive driver fatigue classification framework using EEG and attention-based hybrid neural network with individual feature subsets. Biomed. Signal Process. Control. 85: 105045 (2023) - [j4]Zijie Fang, Junfeng Liu, Hao Zhou, Jun Zeng, Pengyu Zhang:
Disturbance observer-based quasi-proportional resonant composite control strategy for high-frequency LCLC inverters. Int. J. Circuit Theory Appl. 51(10): 4711-4727 (2023) - [j3]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 J. Biomed. Health Informatics 27(9): 4433-4443 (2023) - [c8]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. AAAI 2023: 606-613 - [c7]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. ISBI 2023: 1-5 - [c6]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. ISBI 2023: 1-5 - [i4]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i3]Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang:
Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma. CoRR abs/2310.07464 (2023) - 2022
- [c5]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. AAAI 2022: 1630-1637 - [c4]Ziyue Wang, Yang Chen, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi-task RetinaNet for Mitosis Detection. MIDOG/DRAC@MICCAI 2022: 234-240 - [c3]Ziyue Wang, Zijie Fang, Yang Chen, Zexi Yang, Xinhao Liu, Yongbing Zhang:
Semi-Supervised Cell Instance Segmentation for Multi-Modality Microscope Images. Cell Segmentation Challenge @ NeurIPS 2022: 1-11 - [i2]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i1]Yang Chen, Ziyue Wang, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi tasks RetinaNet for mitosis detection. CoRR abs/2208.12657 (2022) - 2021
- [j2]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 Trans. Multim. Comput. Commun. Appl. 17(2): 41:1-41:21 (2021) - [j1]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 Trans. Sens. Networks 17(3): 29:1-29:33 (2021) - 2020
- [c2]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. ICWS 2020: 380-388
2010 – 2019
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