Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation. - Tengjin Weng; Yang Shen; Kai Jin; Zhiming Cheng; Yunxiang Li; Gewen Zhang; Shuai Wang (CoRR, 2023)

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries. - Shuai Wang 003; Tengjin Weng; Jingyi Wang; Yang Shen; Zhidong Zhao; Yixiu Liu; Pengfei Jiao; Zhiming Cheng; Yaqi Wang 002 (CoRR, 2023)

PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification. - Zhihan Yang; Zhiming Cheng; Tengjin Weng; Shucheng He; Yaqi Wang 002; Xin Ye 006; Shuai Wang 003 (CoRR, 2023)

Accurate Segmentation of Optic Disc and Cup from Multiple Pseudo-labels by Noise-aware Learning. - Tengjin Weng; Yang Shen; Zhidong Zhao; Zhiming Cheng; Shuai Wang 003 (CSCWD, 2024)

Enhancing point annotations with superpixel and confident learning guided for improving semi-supervised OCT fluid segmentation. - Tengjin Weng; Yang Shen; Kai Jin; Yaqi Wang 002; Zhiming Cheng; Yunxiang Li; Gewen Zhang; Shuai Wang 003 (Biomed. Signal Process. Control., 2024)

VisNumBench: Evaluating Number Sense of Multimodal Large Language Models. - Tengjin Weng; Jingyi Wang; Wenhao Jiang; Zhong Ming 001 (CoRR, 2025)

LlamaSeg: Image Segmentation via Autoregressive Mask Generation. - Jiru Deng; Tengjin Weng; Tianyu Yang 003; Wenhan Luo; Zhiheng Li; Wenhao Jiang (CoRR, 2025)