Qishen Han

Qishen Han is a Ph.D. student of Computer Science at Rensselaer Polytechnic Institute (RPI) since 2021, advised by Prof. Lirong Xia’s. Qishen received a B.S. degree in Intelligence Science and Technology with a B.Ec. dual degree in Economics from Peking University in 2021.

Research Interest: computational social choice, information elicitation and aggregation, fair division, algorithmic game theory, intersection on large language model and social choice.

contact: hnickc2017 [at] gmail [dot] com

CV/Resume: Qishen_CV.pdf

Publications

Qishen Han, Biaoshuai Tao, and Lirong Xia. 2023. Average Envy-freeness for Indivisible Items. In Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’23). Association for Computing Machinery, New York, NY, US. [Arxiv]

Ao Liu, Qishen Han, Lirong Xia, Nengkun Yu. 2023. Accelerating Voting by Quantum Computation. Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI ’23), in Proceedings of Machine Learning Research 216:1274-1283 [PDF]

Qishen Han, Grant Schoenebeck, Biaoshuai Tao, and Lirong Xia. 2023. The Wisdom of Strategic Voting. In Proceedings of the 24th ACM Conference on Economics and Computation (EC ‘23). Association for Computing Machinery, New York, NY, USA, 885–905. [Link][Arxiv]

Sujoy Sikdar, Sikai Ruan, Qishen Han, Paween Pitimanaaree, Jeremy Blackthorne, Bulent Yener, and Lirong Xia. 2022. Anti-Malware Sandbox Games. In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS ‘22). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1201–1209. [PDF]

Ongoing Works

Qishen Han, Grant Schoenebeck, Biaoshuai Tao, and Lirong Xia. The art of Two Round Voting

Inwon Kang, Qishen Han, and Lirong Xia. Learning to Explain Voting Rules. Accepted as an extended abstract in AAMAS-23 [PDF]

Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, and Lirong Xia. Computational Complexity of Verifying the Group No-show Paradox. Accepted as an extended abstract in AAMAS-23 [PDF]

Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, and Lirong Xia. Truthful Information Elicitation from Hybrid Crowds [PDF]