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2020 – today
- 2026
[j2]Shuai Wang
, Tengjin Weng, Jingyi Wang, Kai Zhao, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaoqi Sun, Yaqi Wang:
Multi-annotation agreement and prediction consistency networks: Improving semi-supervised segmentation of medical images with ambiguous boundaries. Artif. Intell. Medicine 171: 103289 (2026)- 2025
- [i6]Tengjin Weng, Jingyi Wang, Wenhao Jiang, Zhong Ming:
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models. CoRR abs/2503.14939 (2025) - [i5]Jiru Deng, Tengjin Weng, Tianyu Yang, Wenhan Luo, Zhiheng Li, Wenhao Jiang:
LlamaSeg: Image Segmentation via Autoregressive Mask Generation. CoRR abs/2505.19422 (2025) - 2024
- [j1]Tengjin Weng, Yang Shen, Kai Jin, Yaqi Wang, Zhiming Cheng, Yunxiang Li, Gewen Zhang, Shuai Wang:
Enhancing point annotations with superpixel and confident learning guided for improving semi-supervised OCT fluid segmentation. Biomed. Signal Process. Control. 94: 106283 (2024) - [c1]Tengjin Weng, Yang Shen, Zhidong Zhao, Zhiming Cheng, Shuai Wang:
Accurate Segmentation of Optic Disc and Cup from Multiple Pseudo-labels by Noise-aware Learning. CSCWD 2024: 1540-1545 - 2023
- [i4]Tengjin Weng, Yang Shen, Kai Jin, Zhiming Cheng, Yunxiang Li, Gewen Zhang, Shuai Wang:
Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation. CoRR abs/2306.02582 (2023) - [i3]Shuai Wang, Tengjin Weng, Jingyi Wang, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang:
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries. CoRR abs/2311.10380 (2023) - [i2]Zhihan Yang, Zhiming Cheng, Tengjin Weng, Shucheng He, Yaqi Wang, Xin Ye, Shuai Wang:
PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification. CoRR abs/2311.11669 (2023) - [i1]Tengjin Weng, Yang Shen, Zhidong Zhao, Zhiming Cheng, Shuai Wang:
Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-Aware Learning. CoRR abs/2311.18496 (2023)
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