Juncheng Wu

According to our database, Juncheng Wu authored at least 18 papers between 2024 and 2026.

Collaborative distances:

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

2026

Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows.

Hardy Chen, Nancy Lau, Haoqin Tu, Shuo Yan, Xiangyan Liu, Zijun Wang, Juncheng Wu, Michael Qizhe Shieh, Alvaro A. Cárdenas, Cihang Xie, Yuyin Zhou

CoRR, April, 2026

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw.

Zijun Wang, Haoqin Tu, Letian Zhang, Hardy Chen, Juncheng Wu, Xiangyan Liu, Zhenlong Yuan, Tianyu Pang, Michael Qizhe Shieh, Fengze Liu, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie

CoRR, April, 2026

EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models.

Yahong Wang, Juncheng Wu, Zhangkai Ni, Chengmei Yang, Yihang Liu, Longzhen Yang, Yuyin Zhou, Ying Wen, Lianghua He

CoRR, February, 2026

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data.

Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Yanqing Liu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs.

Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He

CoRR, December, 2025

MedVLThinker: Simple Baselines for Multimodal Medical Reasoning.

Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou

CoRR, August, 2025

SCING:Towards More Efficient and Robust Person Re-Identification through Selective Cross-modal Prompt Tuning.

Yunfei Xie, Yuxuan Cheng, Juncheng Wu, Haoyu Zhang, Yuyin Zhou, Shoudong Han

CoRR, July, 2025

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains.

Juncheng Wu, Sheng Liu, Haoqin Tu, Hang Yu, Xiaoke Huang, James Y. Zou, Cihang Xie, Yuyin Zhou

CoRR, June, 2025

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.

Chengzhi Liu, Zhongxing Xu, Qingyue Wei, Juncheng Wu, James Zou, Xin Eric Wang, Yuyin Zhou, Sheng Liu

CoRR, May, 2025

MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical Reasoning.

Suhao Yu, Haojin Wang, Juncheng Wu, Cihang Xie, Yuyin Zhou

CoRR, May, 2025

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data.

Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie

CoRR, April, 2025

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.

Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Changin Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, Yuyin Zhou

CoRR, April, 2025

m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models.

Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou

CoRR, April, 2025

Converging Crowds and Tied Twins: Audience Brain Responses to the Same Movie are Consistent Across Continents and Enhanced Among Twins.

Ralf Schmälzle, Sue Lim, Juncheng Wu, Subhalakshmi Bezbaruah, Syed Ali Hussain

J. Media Psychol. Theor. Methods Appl., 2025

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine.

Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou

CoRR, 2024

DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor.

Juncheng Wu, Zhangkai Ni, Hanli Wang, Wenhan Yang, Yuyin Zhou, Shiqi Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Misalignment-Robust Frequency Distribution Loss for Image Transformation.

Zhangkai Ni, Juncheng Wu, Zian Wang, Wenhan Yang, Hanli Wang, Lin Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024