Shuo Chen
- PhD Candidate at LMU Munich & Siemens
- Generative Multimodal Models and Responsible AI
- Tresp Lab
- MCML & relAI & OpenFLaaS
- Email: chenshuo.cs at outlook dot com
I am a 2nd year PhD student at LMU Munich and Siemens AG, supervised by Prof. Volker Tresp. My research interests include Generative Multimodal Models and Responsible AI. I am also affiliated with MCML and relAI. Before that, I graduated from the Elite Master of Data Science with distinction at LMU Munich advised by Prof. Volker Tresp.
Before joining LMU, I graduated from the School of Information Management at Sun Yat-sen University (SYSU), Guangzhou, China, in 2020 with a major in Information Systems and a minor in Computer Science, advised by Prof. Daifeng Li.
I am always actively seeking motivated students for both research and master thesis projects. If you’re interested in working with me, feel free to apply by emailing your CV, and transcript.
News
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Sep 2024 Our paper on question decomposition on MLLMs got accepted at EMNLP 2024. Congratulations to all co-authors!
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July 2024 Our paper on adversarial attacks on MLLMs with CoT (paper) got accepted at COLM 2024. Congratulations to all co-authors!
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June 2024 We are co-organizing an ELISE Workshop on Semantic, Symbolic and Interpretable Machine Learning with TU Darmstadt, in beautiful Helsinki!
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May 2024 I will serve as a reviewer for NeurIPS 2024
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Apr 2024 I will serve as a Program Committee member at NeusymBridge @ LREC-Coling 2024
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Apr 2024 Check out our new paper on red-teaming GPT-4V against jailbreak attacks! paper
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Apr 2024 Check out our new paper on adversarial attacks on MLLMs with CoT! paper
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Nov 2023 Check out our new paper of in-context learning on vision-language models! paper
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Sep 2023 One paper got accepted at NeurIPS 2023 Dataset and Benchmark Track! paper, page
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Jul 2023 Check out our new systematic survey of prompt engineering on vision-language foundation models! paper, awesome github repo
Yesterday's News
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Jun 2023 Check out our new benchmark on robustness of adaptation methods on pre-trained vision-language models! paper, page.
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Feb 2023 I graduated from the Data Science Master project at LMU with a grade of 1.08/1.0 (1.0 is the best) and started a new journey as a PhD Student!
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Nov 2022 One paper has been accepted to Cancers.
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May 2022 I obtained the LMU SIST Scholarship and would be sponsored by the Bavaria Education Ministry in the next 10 months.
- July 2020 I joined DMAI as a Research Intern.
- June 2020 I graduated from SYSU and would study in the Data Science Master Program at LMU Munich, Germany. (Press Coverage, in Chinese)
- July 2019 I joined DMAI as a Research Intern.
- May 2019 I obtained the First Class Scholarship for Excellent Students at Sun Yat-sen University.
- May 2019 My team won the First Prize in a national competition and ranked 2nd among hundreds of teams. (Press Coverage, in Chinese)
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Nov 2018 I obtained the Chinese National Scholarship which is the scholarship with the highest honor that Chinese college students can obtain. (Press Coverage, in Chinese)
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Nov 2017 I obtained the National Encouragement Scholarship for excellent students with financial needs.
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Aug 2017 I took a study tour of top-notch universities in Taiwan with visiting grant from SYSU.
Education Experiences
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2023 - Now PhD Student, LMU Munich & Siemens AG, Munich Germany
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2020 - 2022 M.Sc. Data Science, LMU Munich, Munich Germany
Elite Master Project funded by Bavaria Government
1.08/1.0 (approximately 4.0/4.0) -
2016 - 2020 Information System, Sun Yat-sen University, Guangzhou China
Minor in Computer Science
3.8/4.0 top10%
Publications
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Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? [arXiv] [Code]
Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu
SET LLM @ ICLR 2024 -
Understanding and Improving In-Context Learning on Vision-language Models [arXiv]
Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip Torr, Volker Tresp, Jindong Gu
ME-FoMo @ ICLR 2024 -
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models [arXiv] [Page] [Code]
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp
NeurIPS 2023 Dataset and Benchmark Track -
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images [arXiv]
Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu
COLM 2024 -
Visual Question Decomposition on Multimodal Large Language Models Stay-tuned for the final camera-ready version!
Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
EMNLP 2024 Findings -
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models [arXiv] [Awesome Githup Repo]
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr
arXiv preprint arXiv:2307.12980, 2023
Before PhD
- EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III [Link] [PDF]
Pretzsch Elise, Volker Heinemann, Sebastian Stintzing, Andreas Bender, Shuo Chen, Julian Walter Holch, Felix Oliver Hofmann, Haoyu Ren, Florian Bösch, Helmut Küchenhoff, Jens Werner, Martin Konrad Angele
Cancers, 2022