Tengjin Weng

According to our database, Tengjin Weng authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs.

He Hu, Tengjin Weng, Zebang Cheng, Yu Wang, Jiachen Luo, Björn W. Schuller, Zheng Lian, Laizhong Cui

CoRR, April, 2026

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning.

Jingyi Wang, Lei Zhu, Tengjin Weng, Song-Li Wu, Haochen Tan, Jierun Chen, Chaofan Tao, Haoli Bai, Lu Hou, Lifeng Shang, Xiao-Ping Zhang

CoRR, April, 2026

OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models.

Tengjin Weng, Wenhao Jiang, Jingyi Wang, Ming Li, Lin Ma, Zhong Ming

CoRR, March, 2026

BEAP-Agent: Backtrackable Execution and Adaptive Planning for GUI Agents.

Ziyu Lu, Tengjin Weng, Yiying Yang, Yuhang Zhao, Xinxin Huang, Wenhao Jiang

CoRR, January, 2026

MindDialog: A large-scale benchmark for counseling dialogue understanding and generation.

He Hu, Juzheng Si, Qianning Wang, Tengjin Weng, Yihong Ji, Jiyue Jiang, Fei Ma, Yucheng Zhou, Laizhong Cui, Qi Tian

Pattern Recognit., 2026

Multi-annotation agreement and prediction consistency networks: Improving semi-supervised segmentation of medical images with ambiguous boundaries.

Shuai Wang, Tengjin Weng, Jingyi Wang, Kai Zhao, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaoqi Sun, Yaqi Wang

Artif. Intell. Medicine, 2026

2025

LlamaSeg: Image Segmentation via Autoregressive Mask Generation.

Jiru Deng, Tengjin Weng, Tianyu Yang, Wenhan Luo, Zhiheng Li, Wenhao Jiang

CoRR, May, 2025

VisNumBench: Evaluating Number Sense of Multimodal Large Language Models.

Tengjin Weng, Jingyi Wang, Wenhao Jiang, Zhong Ming

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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, Zhiming Cheng, Yunxiang Li, Gewen Zhang, Shuai Wang

Biomed. Signal Process. Control., 2024

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

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification.

Zhihan Yang, Zhiming Cheng, Tengjin Weng, Shucheng He, Yaqi Wang, Xin Ye, Shuai Wang

CoRR, 2023

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.

Shuai Wang, Tengjin Weng, Jingyi Wang, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang

CoRR, 2023

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