Zhongxing Xu

PhD student, Data Science and AI, Monash University

Joined

October 2023

Names

Zhongxing Xu (Preferred)

Emails

****@med.cornell.edu (Confirmed)

****@163.com (Confirmed)

****@monash.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

Data Science and AI, Monash University (monash.edu)

2025 – 2027

MS student

Population Health Sciences , Weill Cornell Medicine, Cornell University (med.cornell.edu)

2023 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Zongyuan Ge

2025 – 2027

Expertise

Multimodal large model

2022 – 2025

Publications

Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
Yanxi Luo, Shijin Wang, Zhongxing Xu, Yulong Li, Feilong Tang, Jionglong Su
- CoRR 2025
- Readers: Everyone
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
- OpenReview Archive Direct Upload
- Readers: Everyone
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 2025
- Readers: Everyone
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge
- CoRR 2025
- Readers: Everyone
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Zhongxing Xu, Chengzhi Liu, Qingyue Wei, Juncheng Wu, James Zou, Xin Eric Wang, Yuyin Zhou, Sheng Liu
- NeurIPS 2025 poster
- Readers: Everyone
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, Yanda Meng
- CoRR 2025
- Readers: Everyone
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao
- CoRR 2025
- Readers: Everyone
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge
- AAAI 2025
- Readers: Everyone
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak et al. (1 additional authors not shown)
- CVPR 2025
- Readers: Everyone
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
Zhongxing Xu, Feilong Tang, Zhe Chen, Yingxue Su, Zhiyi Zhao, Ge Zhang, Jionglong Su, Zongyuan Ge
- AAAI 2025
- Readers: Everyone

View all 20 publications

Co-Authors

View all 80 co-authors