About me 👨‍💻

I am a fifth-year PhD candidate in Computer Science at Singapore Management University, under the supervision of Prof. Shih-Fen Cheng. I hold a Master’s degree in Management Science and Engineering from Jilin University (2020) and a Bachelor’s degree in Information Management and Information Systems from Nanjing Agricultural University (2017).

Currently, I am interning at the Institute for Infocomm Research, A*STAR, where I am collaborating with Dr. Pavitra Krishnaswamy and Dr. Aung Aye Phyu Phyu. My work focuses on data-driven treatment optimization in healthcare, integrating machine learning techniques with clinical data to enhance personalized treatment strategies.

Research Interests 💡

My research interests lie at the intersection of Reinforcement Learning and Optimization, with a particular focus on:

• Last-Mile Delivery Optimization
• Imitation Learning
• Healthcare Analytics and Treatment Optimization
• Machine Learning Applications in Real-world Systems
• Dynamic Pricing and Revenue Management

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.

^* denotes equal contribution

News 📢

• [Dec 2024] Our Paper “Early Detection of Malicious Crypto Addresses with Asset Path Tracing and Selection” (work with Ling Cheng, Jiashu Pu, Fengzhu Zeng,and Prof. Feida Zhu) is accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE)!
• [Oct 2024] Our Paper “A Full-History Network Dataset for BTC Asset Decentralization Profiling” (work with Ling Cheng, Fengzhu Zeng,and Prof. Feida Zhu) is accepted at IEEE BigData 2024, see you in Washington D.C. in December!
• [Sep 2024] Started internship at Institute for Infocomm Research, A*STAR
• [Aug 2024] I am awarded the SMU Presidential Doctoral Fellowship in the Academic Year 2024/2025.
• [Jun 2024] Presented our work Imitating Cost Constrained Behaviors in Reinforcement Learning at ICAPS 2024.