CV
Education
- Ph.D. in Computer Science, Singapore Management University, 2025 (expected)
- Supervisor: Prof. Shih-Fen Cheng
- Research: Reinforcement Learning and Optimization
M.S. in Management Science and Engineering, Jilin University, 2020
- B.S. in Information Management and Information Systems, Nanjing Agricultural University, 2017
Work Experience
- Dec 2023 - Present: Research Intern
- Institute for Infocomm Research, A*STAR
- Project: Data-driven Treatment Optimization in Healthcare
- Supervisors: Dr. Pavitra Krishnaswamy and Dr. Aung Aye Phyu Phyu
- Duties:
- Developing reinforcement learning models for treatment strategies
- Analyzing clinical data for healthcare optimization
Skills
- Programming Languages: Python, MATLAB
- Frameworks & Tools: Pytorch, Tensorflow, Scikit-learn, Pandas, Numpy, Scipy, Cplex, Gurobi
- Research Skills: Machine Learning, Reinforcement Learning, Optimization
- Languages: English, Chinese
Awards & Honors
- Presidential Doctoral Fellowship, Singapore Management University, 2023 & 2024
- National Scholarship, Jilin University, 2019
Publications
- Qian Shao, Pradeep Varakantham, and Shih-Fen Cheng, “Imitating Cost Constrained Behaviors in Reinforcement Learning”, The International Conference on Automated Planning and Scheduling(ICAPS), June 2024, full research paper.
- Qian Shao and Shih-Fen Cheng, “Preference-Aware Delivery Planning for Last-Mile Logistics”, The 22nd International Conference on Autonomous Agents and Multiagent Systems(AAMAS), June 2023, full research paper.
- Qian Shao, Varakantham Pradeep, and Shih-Fen Cheng, “Cost Constrained Imitation Learning”, Adaptive and Learning Agents Workshop at AAMAS(ALA), June 2023, workshop paper.
- Ling Cheng, Qian Shao*, Fengzhu Zeng, and Feida Zhu, “A Full-History Network Dataset for BTC Asset Decentralization Profiling”, 2024 IEEE International Conference on Big Data(IEEE BigData), December 2024, full research paper.
- Ling Cheng, Feida Zhu, Qian Shao, Jiashu Pu, and Fengzhu Zeng, “Early Detection of Malicious Crypto Addresses with Asset Path Tracing and Selection”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.