About Me
Hello! I am SHEN Jiyuan (ๆฒ็บชๅ ), a Data Scientist at SAP AI Lab. My work focuses on developing LLM benchmarking datasets and building automated evaluation pipelines for model performance assessment. Prior to joining SAP, I earned my Master of Engineering (M.Eng) degree at Nanyang Technological University with the SCRIPTS scholarship. I am fortunate to be supervised by Prof. LAM, Kwok Yan. I obtained my B.Eng. degree with a major in Intelligent Science and Technology (Department of Computer Science and Engineering) from Shanghai University in 2022, under the supervison of Prof. Xing Wu. During my undergraduate studies, I had the opportunity to intern at Bosch Corporate Research, where I was mentored by Dr. Dong Chen.
My primary research interest lies in following directions:
- LLM-Related Technique Benchmarking: Develop a holistic evaluation framework for large language models, encompassing multi-modal LLM assessment, application-level AI performance evaluation, prompt optimization algorithms, LLM routing mechanisms, and safety and security evaluation.
- Dataset Compression: Data-efficient Learning, Dataset Distillation, One-shot FL
- Federated Learning: Secure Aggregation, Fast Recovery from Poison Attacks, Model Inversion Attacks
- Computer Vision: Object Detection, Semantic Segmentation, Data Generation, Portrait Beautification
Recent News
- January 10, 2025. ๐ My first author research paper Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning is accepted by IEEE Transactions on Information Forensics & Security. [code]
- November 6, 2024. ๐ My master thesis โData-efficient and privacy-enhanced knowledge discoveryโ has been successfully defended. Also, it is now officially recorded in the DR-NTU (Digital Repository of NTU). [thesis].
- July 16, 2024. ๐ Our survey paper A Survey on Federated Unlearning: Challenges, Methods, and Future Directions is accepted by ACM Computing Surveys (Impact Factor: 23.8).
- July 1, 2024. ๐ผ I started my career as a Data Scientist in SAP AI LAB Singapore. Glad to have a connection with you via linkedin!
- Apr 15 2024. ๐ Our paper โPrivacy-Preserving Federated Unlearning with Certified Client Removalโ is uploaded. [arxiv]
- March 25, 2024. ๐จโ๐ป I made a presentation about the development and potential application of Dataset Distillation. [slide]
- March 18, 2024. ๐ค I wrote a reflection about what Iโve mainly done over the past half year, including my struggles, choices, and rethinking throughout the job pursuit process. [zhihu]
- January 30 - May 15, 2024. ๐ผ I began my second time internship as an IoT Research Intern at the Corporate Research Center of Robert Bosch (SEA) Pte Ltd.
- January 17, 2024. ๐ My first author research paper Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning is accepted by ICC 2024 (oral). [slide]
- January 16, 2024. ๐ Our paper โTowards Efficient and Certified Recovery from Poisoning Attacks in Federated Learningโ is uploaded. [arxiv]
- October 31, 2023. ๐ Our survey paper about the promising field โFederated Unlearningโ is uploaded. [arxiv]
- October 16, 2023. ๐ My first paper about learning dataset structure (Dataset Distillation) is uploaded. [arxiv]
- September, 2023. ๐ I won the 15th prize in the Baidu Disk AI Computition: Beauty, Freckles and Acne Removal. [report]
- August 11, 2023. ๐ I passed the qualification examination (QE).
- November, 2022. ๐ I finished the courworks and get an average score of 4.17/5.0.
- August 8, 2022. ๐ I became a Master by research student at NTU and received a fully sponsored scholarship from the college.
- July 5, 2022. ๐ I successfully graduated from Shanghai University and won the honor title of outstanding graduate.
- January 2022 - July 2022. ๐ผ I interned as a Visual Algorithm Researcher at the Corporate Research Center of Bosch China Investment Co., Ltd.
- October 2021. ๐ One paper is accepted by AIAHPC 2022. [paper]
- June 2021 - July 2021. ๐ผ I interned as a Algorithm Engineer at SAIC General Motors Co., Ltd.
- January 2021. ๐ We Won the 2nd national prize in the First Ocean Target Intelligent Perception International Challenge Competition (Top 3/200). [report] [slide]
- November 2020. ๐ We Won the 3rd national prize in the Artificial Intelligence Application Competition (Top 9/2100, ๆ ไบบ่้) and were invited to share project experience in Zhuhai. [report]
- June 2020. ๐ We won the 2nd prize in the East China Division of the WeChat Applet Application Development Competition of the China University Computer Competition. [demo]