Author

Bizhe Bai

Observed name: Bai, Bizhe

Institutions: Fudan University, Shanghai Innovation Institute

Observed institutions: The University of Queensland, University of Toronto, Fudan University, Shanghai Innovation Institute, Alibaba DAMO Academy (China), Alibaba Group (China)

ORCID: 0000-0001-8783-7353

Observed ORCID: 0000-0001-8783-7353

OpenAlex ID: A5037100403

The multimodality cell segmentation challenge: toward universal solutions

2024 · Jun Ma, Ronald Xie, et al. · Nature Methods · 154

SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery

2023 · João Cartucho, Alistair Weld, et al. · Medical Image Analysis · 25

Parameter-efficient framework for surgical action triplet recognition

2024 · Yuchong Li, Bizhe Bai, et al. · International Journal of Computer Assisted Radiology and Surgery · 9

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings

2023 · Sophia Bano, Alessandro Casella, et al. · Medical Image Analysis · 8

Pseudo Label-Guided Data Fusion and output consistency for semi-supervised medical image segmentation

2025 · Tao Wang, Xinlin Zhang, et al. · Biomedical Signal Processing and Control · 7

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans

2024 · Bizhe Bai, Yan-Jie Zhou, et al. · Lecture notes in computer science · 4

Think twice, act once: Token-aware compression and action reuse for efficient inference in vision-language-action models

2026 · Xudong Tan, Yaoxin Yang, et al. · SSRN Electronic Journal · 2

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling

2026 · Jianghao Lin, Yuanyuan Shi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1

Efficient GUI Agents: A Systems Survey of Observation, Memory, Action, and Runtime Optimization

2026 · Bai, Bizhe, Yuan, Jiakang, et al. · arXiv (Cornell University)

Adapter-X: A general parameter-efficient fine-tuning framework for 2D and 3D vision

2026 · Minglei Li, Peng Ye, et al. · Neurocomputing

Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards

2026 · Bai, Bizhe, Wang, Xinyue, et al. · arXiv (Cornell University)

M-GRPO: Stabilizing Self-Supervised Reinforcement Learning for Large Language Models with Momentum-Anchored Policy Optimization

2025 · Bai, Bizhe, Wu, Hongming, et al. · arXiv (Cornell University)

Local Information Matters: Inference Acceleration For Grounded Conversation Generation Models Through Adaptive Local-Aware Token Pruning

2025 · Bai, Bizhe, Cao, Jianjian, et al. · arXiv (Cornell University)

Works count: 13

Citation count: 210

H-index: 5

I10-index: 2