Zhanghexuan Ji

According to our database, Zhanghexuan Ji authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continual Domain Adversarial Adaptation via Double-Head Discriminators.

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

CoRR, 2024

2023

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.

Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin

CoRR, 2023

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning.

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans.

Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation.

Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning.

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

CoRR, 2022

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning.

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

CoRR, 2022

2021

FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation.

Yan Shen, Jian Du, Hao Zhang, Benyu Zhang, Zhanghexuan Ji, Mingchen Gao

CoRR, 2021

LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation.

Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, Sargur N. Srihari, Mingchen Gao

CoRR, 2021

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment.

Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation.

Yan Shen, Zhanghexuan Ji, Mingchen Gao

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.

Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data.

Chunwei Ma, Zhanghexuan Ji, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation.

Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019