Bangwei Guo

According to our database, Bangwei Guo authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs.

Xi Chen, Mingyu Jin, Jingcheng Niu, Yutong Yin, Jinman Zhao, Bangwei Guo, Dimitris N. Metaxas, Zhaoran Wang, Yutao Yue, Gerald Penn

CoRR, May, 2026

Evidence Over Plans: Online Trajectory Verification for Skill Distillation.

Yang Zhou, Zihan Dong, Zhenting Wang, Can Jin, Shiyu Zhao, Bangwei Guo, Difei Gu, Linjun Zhang, Mu Zhou, Dimitris N. Metaxas

CoRR, May, 2026

LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery.

Difei Gu, Yunhe Gao, Gerasimos Chatzoudis, Zihan Dong, Guoning Zhang, Bangwei Guo, Yang Zhou, Mu Zhou, Dimitris N. Metaxas

CoRR, February, 2026

2025

M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark.

Yang Zhou, Mingyu Zhao, Zhenting Wang, Difei Gu, Bangwei Guo, Ruosong Ye, Ligong Han, Can Jin, Dimitris N. Metaxas

CoRR, November, 2025

K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model.

Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, Dimitris N. Metaxas

CoRR, September, 2025

VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.

Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas

Proceedings of the Information Processing in Medical Imaging, 2025

Analysis of Cardiac Dynamic Global Function.

Leon Axel, Mikael Kanski, Amit Jhaveri, Meng Ye, Bangwei Guo, Xiaoxiao He, Dimitris N. Metaxas

Proceedings of the Functional Imaging and Modeling of the Heart, 2025

2024

Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI.

Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, Dimitris N. Metaxas

CoRR, 2024

2023

A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.

Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu

Comput. Medical Imaging Graph., April, 2023

DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture.

Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu

CoRR, 2023

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.

Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu

CoRR, 2023

2022

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer.

Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu

CoRR, 2022