Quan Liu

Researcher, Accenture

Joined

February 2022

Names

Quan Liu (Preferred)

Emails

****@vanderbilt.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

Accenture (accenture.com)

2024 – Present

PhD student

Vanderbilt University (vanderbilt.edu)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Yuankai Huo

2020 – 2024

Expertise

AI Agent

2024 – Present

Medical Image Analysis

2019 – Present

Publications

DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu
- ICLR 2026 Poster
- Readers: Everyone
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Zhenting Wang, Qi Chang, Hemani Patel, Shashank Biju, Cheng-En Wu, Quan Liu, Aolin Ding, Alireza Rezazadeh, Ankit Shah, Yujia Bao, Eugene Siow
- ICLR 2026 Poster
- Readers: Everyone
Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging
Ho Hin Lee, Quan Liu, Shunxing Bao, Yuankai Huo, Bennett Allan Landman
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Zhenting Wang, Qi Chang, Hemani Patel, Shashank Biju, Cheng-En Wu, Quan Liu, Aolin Ding, Alireza Rezazadeh, Ankit Shah, Yujia Bao, Eugene Siow
- SEA @ NeurIPS 2025 Poster
- Readers: Everyone
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
Yaxuan Wang, Quan Liu, Chris Yuhao Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu
- MUGen @ ICML 2025 Poster
- Readers: Everyone
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
Yaxuan Wang, Quan Liu, Chris Yuhao Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu
- Submitted to NeurIPS 2025
- Readers: Everyone
LLM Unlearning via Loss Adjustment with Only Forget Data
Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei
- ICLR 2025 Poster
- Readers: Everyone
Enhancing Physician Flexibility: Prompt-Guided Multi-class Pathological Segmentation for Diverse Outcomes
Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo
- IEEE BHI'24
- Readers: Everyone
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution
Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- IEEE Trans. Biomed. Eng. 2023
- Readers: Everyone

View all 45 publications

Co-Authors

View all 78 co-authors