About

I am a Master’s candidate at Wuhan University, expecting to graduate in June 2026 under the supervision of Prof. Wei Lu from the School of Information Management. I have previously worked as an algorithm intern at Ant Group, Tencent, Zhipu AI, and Microsoft, where I gained hands-on experience in large-scale AI systems and applied machine learning.

Currently, I am actively seeking research-driven yet application-oriented algorithm roles with ample GPU resources for publishing-oriented work, as well as PhD opportunities in strong, well-resourced labs for Fall 2026. If you are recruiting or open to collaboration, feel free to reach out — I’d love to connect! 🙌

Interests

Multi-modality LLM Reasoning

[M2-Reasoning]

[Chart-R1]

[FakeVLM]

Education

Wuhan University

Sep. 2023 - Jun. 2026
Mentor: Prof. Wei Lu

Experiences

Jun, 2025 - Now

Research Intern @ Machine Intelligence, Ant Group

Join as a Research Intern, focus on VLA models and MLLM Reasoning.

Publications ( / )

IVY-FAKE: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection

Changjiang Jiang*, Wenhui Dong*, Zhonghao Zhang, Chenyang Si, Fengchang Yu, Wei Peng, Xinbin Yuan, Yifei Bi, Ming Zhao, Zian Zhou, Caifeng Shan.

Equal Contribution | Arxiv 2025, Submitted to Conference

[Paper] [Code]

TruthEYE: Pushing the Frontier of Synthetic Image Detection via Interleaved Visual Reasoning

Changjiang Jiang, Xuekang Zhu, Fengchang Yu, Dehao Ying, Chenfan Qu, Chenfeng Zhang, Jingjing Liu, Jian Liu.

Submitted to Conference

TABDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data

Changjiang Jiang, FengChang Yu, Haihua Chen, Wei Lu, Jin Zeng.

EMNLP 2025 Findings

[Paper]

Fake-HR1: Rethinking Reasoning of vision language model for Synthetic Image Detection

Changjiang Jiang, Xinkuan Sha, Fengchang Yu, Jingjing Liu, Jian Liu, Mingqi Fang, Chenfeng Zhang, Wei Lu.