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ORCIDZhanghexuan Ji
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2020 – today
- 2024
[c10]Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
Continual Domain Adversarial Adaptation via Double-Head Discriminators. AISTATS 2024: 2584-2592- [c9]Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin:
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. MICCAI (8) 2024: 371-381 - [i12]Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
Continual Domain Adversarial Adaptation via Double-Head Discriminators. CoRR abs/2402.03588 (2024) - [i11]Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin:
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. CoRR abs/2410.04689 (2024) - 2023
- [c8]Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. AAMAS 2023: 1808-1816 - [c7]Zhanghexuan Ji
, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. ICCV 2023: 21083-21094 - [c6]Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu:
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. ICLR 2023 - [i10]Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. CoRR abs/2302.00162 (2023) - 2022
- [i9]Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. CoRR abs/2205.02371 (2022) - [i8]Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu:
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. CoRR abs/2207.14202 (2022) - 2021
- [c5]Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. MLMI@MICCAI 2021: 110-119 - [i7]Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation. CoRR abs/2109.00622 (2021) - [i6]Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. CoRR abs/2109.01949 (2021) - [i5]Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, Sargur N. Srihari, Mingchen Gao:
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. CoRR abs/2109.04993 (2021) - [i4]Yan Shen, Jian Du, Hao Zhang, Benyu Zhang, Zhanghexuan Ji, Mingchen Gao:
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. CoRR abs/2110.08477 (2021) - 2020
- [c4]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. MICCAI (1) 2020: 457-467 - [c3]Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. MLMI@MICCAI 2020: 532-541 - [i3]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. CoRR abs/2009.02455 (2020)
2010 – 2019
- 2019
- [c2]Chunwei Ma, Zhanghexuan Ji, Mingchen Gao:
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. MICCAI (2) 2019: 128-136 - [c1]Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao:
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. MICCAI (3) 2019: 175-183 - [i2]Chunwei Ma, Zhanghexuan Ji, Mingchen Gao:
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. CoRR abs/1909.09716 (2019) - [i1]Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao:
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. CoRR abs/1911.02014 (2019)
Coauthor Index
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