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2020 – today
- 2026
[j6]Shuang Zeng
, Chee Hong Lee, Kaiwen Li, Boxu Xie, Ourui Fu, Hangzhou He, Lei Zhu, Yanye Lu, Fangxiao Cheng:
Improve retinal artery/vein classification via channel coupling. Expert Syst. Appl. 305: 130795 (2026)- [j5]Shuang Zeng, Lei Zhu, Xinliang Zhang, Hangzhou He, Yanye Lu:
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-Training. IEEE Trans. Image Process. 35: 1636-1651 (2026) - [i15]Zhengjian Yao, Jiakui Hu, Kaiwen Li, Hangzhou He, Xinliang Zhang, Shuang Zeng, Lei Zhu, Yanye Lu:
Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration. CoRR abs/2601.19506 (2026) - 2025
- [j4]Xinliang Zhang, Qian Chen, Hangzhou He, Lei Zhu, Zhaoheng Xie, Yanye Lu, Fangxiao Cheng:
Generative learning-based lightweight MRI brain tumor segmentation with missing modalities. Expert Syst. Appl. 261: 125478 (2025) - [j3]Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Lei Zhu, Yanye Lu, Qiushi Ren:
Novel extraction of discriminative fine-grained feature to improve retinal vessel segmentation. Image Vis. Comput. 163: 105729 (2025) - [j2]Kaiwen Li, Hangzhou He, Shuang Zeng, Xinliang Zhang, Yuanwei Li, Lei Zhu, Yanye Lu:
Points-Supervised Fundus Vessel Segmentation via Shape Priors and Contrastive Learning. IEEE Trans. Medical Imaging 44(12): 5038-5050 (2025) - [j1]Lei Zhu, Xinliang Zhang, Hangzhou He, Qian Chen, Sha Li, Shuang Zeng, Yibao Zhang, Qiushi Ren, Yanye Lu:
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(6): 11493-11506 (2025) - [c5]Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu:
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. AAAI 2025: 3401-3409 - [c4]Hangzhou He, Jiachen Tang, Lei Zhu, Kaiwen Li, Yanye Lu:
Training-Free Test-Time Improvement for Explainable Medical Image Classification. MICCAI (14) 2025: 638-648 - [i14]Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu:
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. CoRR abs/2501.04975 (2025) - [i13]Xinliang Zhang, Lei Zhu, Shuang Zeng, Hangzhou He, Ourui Fu, Zhengjian Yao, Zhaoheng Xie, Yanye Lu:
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation. CoRR abs/2503.13895 (2025) - [i12]Shuang Zeng, Lei Zhu, Xinliang Zhang, Hangzhou He, Yanye Lu:
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training. CoRR abs/2504.14737 (2025) - [i11]Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Yanye Lu, Qiushi Ren:
Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation. CoRR abs/2505.03896 (2025) - [i10]Hangzhou He, Jiachen Tang, Lei Zhu, Kaiwen Li, Yanye Lu:
Training-free Test-time Improvement for Explainable Medical Image Classification. CoRR abs/2506.18070 (2025) - [i9]Jiakui Hu, Zhengjian Yao, Lujia Jin, Hangzhou He, Yanye Lu:
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance. CoRR abs/2506.18520 (2025) - [i8]Ourui Fu, Hangzhou He, Xinliang Zhang, Lei Zhu, Shuang Zeng, Zhaoheng Xie, Yanye Lu:
I2R: Inter and Intra-image Refinement in Few Shot Segmentation. CoRR abs/2507.05838 (2025) - [i7]Shuang Zeng, Chee Hong Lee, Kaiwen Li, Boxu Xie, Ourui Fu, Hangzhou He, Lei Zhu, Yanye Lu, Fangxiao Cheng:
Improve Retinal Artery/Vein Classification via Channel Couplin. CoRR abs/2508.03738 (2025) - [i6]Hangzhou He, Lei Zhu, Kaiwen Li, Xinliang Zhang, Jiakui Hu, Ourui Fu, Zhengjian Yao, Yanye Lu:
Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models. CoRR abs/2509.17522 (2025) - [i5]Xinliang Zhang, Lei Zhu, Hangzhou He, Shuang Zeng, Ourui Fu, Jiakui Hu, Zhengjian Yao, Yanye Lu:
AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs. CoRR abs/2511.14169 (2025) - 2024
- [c3]Xinliang Zhang, Lei Zhu, Hangzhou He, Lujia Jin, Yanye Lu:
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label. AAAI 2024: 7332-7340 - [c2]Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei:
On the Duality Between Sharpness-Aware Minimization and Adversarial Training. ICML 2024: 59024-59041 - [c1]Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu:
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. MICCAI (8) 2024: 382-392 - [i4]Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei:
On the Duality Between Sharpness-Aware Minimization and Adversarial Training. CoRR abs/2402.15152 (2024) - [i3]Xinliang Zhang, Lei Zhu, Hangzhou He, Lujia Jin, Yanye Lu:
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label. CoRR abs/2402.17555 (2024) - [i2]Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu:
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. CoRR abs/2406.13583 (2024) - 2023
- [i1]Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, Shuang Zeng, Qiushi Ren, Yanye Lu:
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation. CoRR abs/2308.04949 (2023)
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