I am currently a Master’s student at the Department of Software Engineering, Xi’an Jiaotong University (XJTU), advised by Prof. Jihua Zhu. I graduated from School of Computer Science and Technology, Taiyuan University of Technology with a bachelor’s degree. I am collaborating closely with Ning Yang at the Institute of Automation, Chinese Academy of Sciences (CASIA). I am currently a Visiting Student at the Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab), advised by Cheng Tan, focusing on AI for Science and LLM Reasoning.
🚀I am now working on LLM Reasoning and Chain-of-Thought (CoT). Currently, I am actively seeking Ph.D. opportunities for the Fall 2027 intake. I am particularly interested in advancing LLM Reasoning and Multimodal Learning. If you are looking for a self-motivated student with a strong background in 3D-Vision and LLM, or if you are interested in academic collaboration, I would be honored to discuss further via email at zhangdongxu@stu.xjtu.edu.cn.
🔥 News
[Apr. 2026] 🎉 Excited to share that our paper “Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring” has been accepted to ACL 2026 as a Main Conference Oral presentation! We propose V-Skip to address “Visual Amnesia” in MLLM reasoning compression. Paper | project page.
[Mar. 2026] 🎉 Excited to share that our two papers “PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Perception” and “PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference” have been accepted by ICME 2026!
[Mar. 2026] 🔥 Excited to share our new preprint “PointCoT: A Multi-modal Benchmark for Explicit 3D Geometric Reasoning” on arXiv! We propose a novel Look–Think–Answer paradigm that empowers MLLMs with geometry-grounded Chain-of-Thought reasoning over 3D point clouds, significantly reducing geometric hallucinations. Check out the paper and project page!
[Jan. 2026] 🎉 Excited to share that our paper “IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration” has been accepted by IEEE TCSVT!
[Jan. 2026] 🎉 Excited to share that our paper “CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration” has been accepted by Neurocomputing!
[Jan. 2026] 🎉 Excited to share that our paper “DEEP LOCAL FIELD CONSISTENCY FOR NON-RIGID POINT CLOUD REGISTRATION” has been accepted by ICASSP!
📝 Publications
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ACL 2026 (Main, Oral)Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring, Dongxu Zhang, et al. -
ICME 2026PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Perception, Yiding Sun, Dongxu Zhang, et al. -
ICME 2026PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference, Qirui Wang, Dongxu Zhang, et al. -
ArXivPointCoT: A Multi-modal Benchmark for Explicit 3D Geometric Reasoning, Dongxu Zhang*, Yiding Sun*, Pengcheng Li*, et al. -
NeurocomputingCMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration, Dongxu Zhang, et al. -
IEEE TCSVTIGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration, Dongxu Zhang, Jihua Zhu, et al. -
ICASSPDeep Local Field Consistency for Non-Rigid Point Cloud Registration, Haoran Xu, Dongxu Zhang, et al. -
IEEE TIAEnhancing power grid resilience with blockchain-enabled vehicle-to-vehicle energy trading in renewable energy integration, Yingsen Wang, Dongxu Zhang, et al.
🎖 Honors and Awards
- 2024.12 National first prize in Tecorigin Operator Development Task Challenge.
- 2024.06 Outstanding graduate in TYUT.
- 2023.12 First-class scholarship (Top 5%)
- 2022.12 National Second prize in C++ group of Computer Ability Challenge.
- 2021.05 Truth-Seeking Star (10 students in TYUT each year)
📖 Educations
- 2024.09 - 2027.06 (now), Master, Software engineer, Xi’an Jiaotong University, Xi’an. Mentor: Jihua Zhu
- 2020.09 - 2024.06, Undergraduate, Computer science and technology, Taiyuan University of Technology, Taiyuan, Mentor: Juanjuan Zhao
💬 Invited Talks
- 2025.02, Taichu 2024 excellent developer oral report, Beijing. Info
- 2024.12, First prize defense in Tecorigin Operator Development Task Challenge, Wuhan. Info
- 2021.05, Outstanding student representative gave a speech, Taiyuan. Info
💻 Internships and Research
- 2025.12 - (now), Shanghai AI Lab, Shanghai. Mentor: Cheng Tan.
- 2025.03 - 2025.12, CASIA, Beijing. Mentor: Ning Yang.
- 2024.07 - (now), CVML Lab, Xi’an. Mentor: Jihua Zhu.
- 2024.04 - 2024.08, Synced, Xi’an.
- 2021.09 - 2024.06, Image and Intelligence Lab, Taiyuan. Mentor: Juanjuan Zhao.