Publications & Preprints

(* indicates equal contributions; # indicates correspondence.)

Publications

• Privacy-Enhanced Database Synthesis for Benchmark Publishing.
  • Yunqing Ge, Jianbin Qin#, Shuyuan Zheng#, Yongrui Zhong, Bo Tang, Yu-Xuan Qiu, Rui Mao, Ye Yuan, Makoto Onizuka, Chuan Xiao
  • VLDB 2025
• Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents.
  • Zengqing Wu*, Run Peng*, Shuyuan Zheng#, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Chuan Xiao#
  • EMNLP 2024 (Findings)
• Secure Shapley Value for Cross-Silo Federated Learning.
  • Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
  • VLDB 2023
• Using Differential Privacy to Define Personal, Anonymous, and Pseudonymous Data.
  • Tao Huang, Shuyuan Zheng#
  • IEEE Access, 2023
• FL-Market: Trading Private Models in Federated Learning.
  • Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Yan Qiang
  • IEEE BigData 2022
  • Top-10 Best Paper, Best Student Paper Finalist
• Diversity-Oriented Route Planning for Tourists.
  • Wei Kun Kong, Shuyuan Zheng, Minh Le Nguyen, Qiang Ma
  • DEXA 2022
• Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss.
  • Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
  • MDM 2020

Preprints

• Legal Fact Prediction: Task Definition and Dataset Construction.
  • Junkai Liu*, Yujie Tong*, Hui Huang, Shuyuan Zheng#, Muyun Yang#, Peicheng Wu, Makoto Onizuka, Chuan Xiao
• Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations.
  • Zengqing Wu, Run Peng, Xu Han, Shuyuan Zheng, Yixin Zhang, Chuan Xiao