CV

Full version can be downloaded here: Resume.

Education

• M.Eng. in Computer Science, Nanyang Technological University, Singapore, 2022 - 2024
  • Thesis: Data-efficient and Privacy-enhanced Knowledge Discovery [thesis]
  • Supervisor: Prof. Lam Kwok Yan
  • SCRIPTS Scholarship recipient
• B.Eng. in Intelligent Science and Technology, Shanghai University, China, 2018 - 2022
  • Department of Computer Science and Engineering
  • Outstanding Graduate of Shanghai University

Work Experience

• Data Scientist, SAP AI Lab, Singapore (Jul 2024 - Present)
  • Developing automated evaluation pipelines for model performance assessment
  • Providing model and method discovery for performance optimization
  • Research on agent evaluation, document information extraction, and LLM benchmarking
• IoT Research Intern, Robert Bosch (SEA) Pte Ltd, Singapore (Jan - May 2024)
  • Corporate Research Center
  • Conducted research on IoT and edge computing
• Visual Algorithm Researcher Intern, Bosch China Investment Co., Ltd (Jan - Jul 2022)
  • Corporate Research Center
  • Project: Long-video Action Recognition
  • Supervisor: Dr. Dong Chen
• IT Intern, SAIC General Motors Co., Ltd (Jun - Aug 2021)
  • SAS-to-Python migration
  • Vehicle parts automatic inspection

Skills

• Programming: Python, C++, SQL
• ML/DL Frameworks: PyTorch, TensorFlow, HuggingFace Transformers
• Research Areas: LLM Evaluation, Agent Systems, Federated Learning, Dataset Distillation, Computer Vision
• Tools & Platforms: Git, Docker, AWS, Linux, LaTeX

Publications

Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis

OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets

Privacy-Preserving Federated Unlearning with Certified Client Removal

Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions

Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning

AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories

An Efficient Training Strategy for Multi-Agent Reinforcement Learning in Card Games

Projects

Dataset Distillation Survey

Reproducing Serverless in the Wild

CE7454 Project: PSG Classification

Action Segmentation Example Video

Deepfake Detection

Little Emotion App

Honors & Awards

• 2026 Paper accepted at ICLR 2026 (main track)
• 2026 Paper accepted at EACL 2026 (industry track)
• 2025 Two papers accepted at IEEE Transactions on Information Forensics & Security
• 2024 Paper accepted at ACM Computing Surveys (IF: 23.8)
• 2023 Passed Qualification Examination at NTU
• 2023 15th Prize, Baidu Disk AI Competition: Beauty, Freckles and Acne Removal
• 2022 Shanghai University Outstanding Graduate
• 2022 NTU SCRIPTS Full Scholarship
• 2021 2nd National Prize, First Ocean Target Intelligent Perception International Challenge (Top 3/200)
• 2020 3rd National Prize, Artificial Intelligence Application Competition (Top 9/2100)
• 2020 2nd Prize (East China), WeChat Applet Application Development Competition
• 2020 Shanghai University Academic Excellence Scholarship

Service

• Volunteer, DFRWS 2023 APAC