I am a rising senior undergraduate student with a strong interest in Multimodal LLMs Post-Training and Tool-Augmented Agentic System. I am fortunate to collaborate with Manling Li, Zhengzhong Tu, Yue Zhao, and Jiacheng Zhu on research focused on Multimodal Reasoning, Alignment, RAG and Agentic System. Prior to that, I worked with Zhe Liu and Victor S. Sheng on research in Robust Medical Vision and Multimodal Machine Learning. I am deeply grateful to them for guiding me into the world of research.
I am actively seeking a 26 Fall CS PhD position. I would be excited to collaborate with like-minded researchers on a broad range of topics, including LLMs, VLMs, Agents, and Embodied AI. Please feel free to reach out if our interests align, my wechat is qiancxdotcom.
Research Interests
My long-term vision is to develop efficient, robust, and generalizable machine learning systems capable of perceiving, understanding, and interacting with the world through multimodal information. I am particularly interested in advancing LLMs combined with vision, audio, action, and other modalities toward Agentic and Embodied AI systems that can reason, plan, and act in complex environments — enabling intelligent agents to interact with humans and make decisions across both physical and web-based settings. Specifically, my previous research focuses on these topics:
- Generalizable Medical Vision
- 3D Scene Reconstruction
- Multimodal Foundation Models🔥
- Visual Reasoning and Alignment🔥🔥
- Mutimodal RAG and Search Agent🔥🔥
- Tool-Augmented Vision-Language Agentic Systems🔥🔥🔥
🔥 News
- 2025.08: 🎉🎉 Our work Re-Align has been accepted by EMNLP 2025 Main Conference!
- 2025.08: 🎉🎉 I will serve as the Program Committee for AAAI 2026!.
- 2025.07: 🎉🎉 Our work on Generalizable Medical Vision has been Accepted by IEEE Transactions on Medical Imaging.
- 2025.06: 🎉🎉 We propose DVP-MVS++, a multi-view stereo method that integrates depth-normal-edge priors and visibility guidance for robust 3D Reconstruction, which is now available on ArXiv!
- 2025.06: 🎉🎉 We propose HALF-GS, an efficient dynamic 3D reconstruction framework combining sparse anchors, self-supervised guidance, and hierarchical propagation to improve reconstruction quality and temporal consistency, which is now available on ArXiv!
- 2025.05: 🎉🎉 Our work CLIMD has been Early Accepted by MICCAI 2025 (Top 9%).
- 2025.03: 🎉🎉 Excited to propose my first-author work DecAlign, a novel cross-modal decoupling and alignment framwork for multimodal representation learning, which is now available on ArXiv!
- 2025.02: 🎉🎉 Excited to propose Re-Align, a novel RAG-enhanced DPO framework to mitigate hallucinations in Vision Language Models, which is now available on ArXiv!
- 2024.11: 🎉🎉 Excited to propose my first-author work DynCIM, a novel dynamic multimodal curriculum learning framework in addressing cross-modal competition and imbalances, which is now available on ArXiv!
- 2024.10: 🎉🎉 Our work is now under Major Revision by Medical Image Analysis.
- 2024.08: 🎉🎉 Excited to propose my first-author work ALC, a novel adaptive label correction framework for medical image segmentation with noisy labels, which is now available on ArXiv!
📝 Publications
Multimodal Foundation Models
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
Chengxuan Qian, Shuo Xing, Shawn Li, Yue Zhao, Zhengzhong Tu†.
DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning
Chengxuan Qian, Kai Han, Jingchao Wang, Zhenlong Yuan, Chongwen Lyu, Jun Chen†, Zhe Liu†.
CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis
MICCAI 2025 Early Accept (Top 9% Paper)
Kai Han, Chongwen Lyu, Chengxuan Qian, Siqi Ma, Jun Chen†, Zhe Liu†,
Contrastive Intra- and Inter-modal Clustering for Multimodal Semantic Discovery
Under Review
Zhengzhong Zhu, Pei Zhou, Chengxuan Qian, Ruohong Yang, Yixuan Ye, Jiangping Zhu
Multimodal LLMs Post-Training
AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
Preprint
Zhenlong Yuan, Jing Tang, Jinguo Luo, Rui Chen, Lei Sun, Chengxuan Qian, Yujun Cai, Dapeng Zhang, Shuo Li.
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization
Shuo Xing, Yuping Wang, Peiran Li, Ruizheng Bai, Yueqi Wang, Chengxuan Qian, Huaxiu Yao, Zhengzhong Tu†.
Medical Image Analysis
Adaptive Label Correction Framework for Robust Medical Image Segmentation with Noisy Labels
Chengxuan Qian, K Han, Siqi Ma, Chongwen Lyu, Zhenlong Yuan, Jun Chen†, Zhe Liu†.
Region Uncertainty Estimation for Medical Image Segmentation with Noisy Labels
IEEE Transaction on Medical Imaging (CCF B, IF:9.8)
Kai Han, Shuhui Wang, Jun Chen†, Chengxuan Qian, Chongwen Lyu, Siqi Ma, Victor S. Sheng†, Qingming Huang†, Zhe Liu†.
Frequency Domain Unlocks New Perspectives for Medical Image Segmentation
IEEE Transactions on Circuits and Systems for Video Technology (CCF B, IF: 8.3)(Under Review)
Kai Han, Siqi Ma, Chengxuan Qian, Jun Chen†, Chongwen Lyu, Victor S. Sheng†, Zhe Liu†.
Curriculum for Region-guided Automatic Radiology Report Generation
IEEE Transactions on Circuits and Systems for Video Technology (CCF B, IF: 8.3)(Under Review)
Chongwen Lyu, Chengxuan Qian, Kai Han, Jun Chen†, Victor S. Sheng†, Zhe Liu†.
LiMT: A Multi-task Liver Image Benchmark Dataset
Medical Image Analysis (IF: 10.7)(Major Revision)
Z Liu†, K Han, S Ma, J Chen†, …, C Qian, C Lyu, …, V S. Sheng†.
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Dataset and Benchmarking work
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A multi-task medical image benchmark dataset for Segmentation, Classification and Detection of liver lesions, encompassing CT liver scans annotated for four common liver diseases.
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Collaborated with researchers from Jiangsu University, Texas Tech University, and clinicians from the Affiliated Hospital of Jiangsu University.
3D Vision
DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo
IEEE Transactions on Circuits and Systems for Video Technology (CCF B, IF: 8.3)(Under Review)
Zhenlong Yuan, Dapeng Zhang, Zehao Li, Chengxuan Qian, Jianing Chen, Yinda Chen, Kehua Chen, Tianlu Mao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
Jianing Chen, Zehao Li, Yujun Cai, Hao Jiang, Chengxuan Qian, Juyuan Kang, Shuqin Gao, Honglong Zhao, Tianlu Mao, Yucheng Zhang.
🎖 Academical Services
- Reviewer of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Multimedia (TMM), IEEE International Conference on Multimedia & Expo (ICME 2025), ICCV 2025 and AAAI 2026.