Hi! My name is Jiacheng Cui (崔家诚). I am currently a PhD student in the Machine Learning Department at MBZUAI. During my master’s studies, I worked on data-centric AI and efficient learning under the supervision of Prof. Zhiqiang Shen. My research interests include data-centric AI, dataset distillation, and efficient training.
Before joining MBZUAI, I obtained a B.Sc. (Hons) in AI and Computer Science with First Class Honours from the University of Edinburgh in 2024. I am always open to academic collaboration and discussions related to my research interests. According to Google Scholar, my publications have received — citations.
🔥 News
- 2026.08: 🎉🎉 PIXAR has been accepted to ECCV 2026. See you in Malmö!
- 2026.04: 🎉🎉 HALD has been accepted to ICML 2026. See you in Seoul!
- 2026.04: 🎉🎉 LLMSurgeon has been accepted to ACL 2026. See you in San Diego!
- 2025.09: 🎉🎉 FADRM has been accepted to NeurIPS 2025. See you in San Diego!
📝 Publications
From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering
Xinyi Shang*, Yi Tang*, Jiacheng Cui*, Ahmed Elhagry, Salwa K. Al Khatib, Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao, Jing-Hao Xue, Hao Li, Salman Khan, Zhiqiang Shen
- VLM Image Tampering Benchmarking
- Pixel-level Detection
LLMSurgeon: Diagnosing Data Mixture of Large Language Models
Yaxin Luo*, Jiacheng Cui*, Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Xinyue Bi, Zhaoyi Li, Zhiqiang Shen
- Data Mixture Surgery
- Label Shift Inversion
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
Jiacheng Cui, Bingkui Tong, Xinyue Bi, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen
- Dataset Distillation
- Label Usage
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
Jiacheng Cui*, Xinyue Bi*, Yaxin Luo, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen
- Dataset Distillation
- Data Residual Matching
Dataset Distillation via Committee Voting
Jiacheng Cui, Zhaoyi Li, Xiaochen Ma, Xinyue Bi, Yaxin Luo, Zhiqiang Shen
- Dataset Distillation
- Committee Voting
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ICML 2026 Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense, Jiacheng Liu, Yaxin Luo, Jiacheng Cui, Xinyi Shang, Xiaohan Zhao, Zhiqiang Shen.
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CVPR 2026 BiGain: Unified Token Compression for Joint Generation and Classification, Jiacheng Liu, Shengkun Tang, Jiacheng Cui, Zhiqiang Shen.
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NeurIPS 2025 Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents, Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, Zhiqiang Shen.
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NeurIPS 2025 A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1, Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen.
🎖 Honors and Awards
- 2024–2030, MBZUAI Graduate Fellowship (Full Scholarship)
- 2024. 06, Awarded First-Class Honours upon Graduation, University of Edinburgh
📖 Educations
- 2026.08 – 2030.06 (expected), Doctor of Philosophy (Ph.D.) in Machine Learning, MBZUAI, Abu Dhabi, UAE
- 2024.09 – 2026.06, Master of Science (M.Sc.) in Machine Learning, MBZUAI, Abu Dhabi, UAE
- 2019.09 – 2024.06, Bachelor of Science (B.Sc.) in Artificial Intelligence and Computer Science, The University of Edinburgh, UK
📄 Services
Reviewer
- 2026: ICLR, TMLR, NeurIPS
💻 Internships
- 2022.05 - 2022.07, Intersim (英特仿真), Dalian, China.