Dr. Junyi Li is a postdoctoral associate at Singapore-MIT Alliance for Research and Technology (SMART). His research focuses on developing computational approaches to study complex social systems.
Before joining SMART, he earned his doctor’s degree from Zhejiang University, where his work focuses on transfer learning and physics informed learning for urban computing.
Measuring Representational and Allocational Harms in LLM Career Recommendations
Year of Publication:
Venue:
ACM SIGKDD Workshop on Talent and Management Computing
2026
Publication Type:
Conference
Status:
Accepted
Authors:
Junyi Li (SMART), Baoshen Guo (SMART), Shenhao Wang (UF), Jinhua Zhao (MIT)
Digital Distortions: Auditing Bias in LLM-based Career Recommendations
Year of Publication:
Venue:
IEEE Intelligent Systems
2026
Publication Type:
Journal
Status:
Accepted
Authors:
Junyi Li (SMART), Baoshen Guo (SMART), Qishen Zhou (ZJU), Shenhao Wang (UF), Frank Pasquale (Cornell Tech & Cornell Law), Jinhua Zhao (MIT)
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
Year of Publication:
Venue:
32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining
2026
Publication Type:
Conference
Status:
Published
Authors:
Baoshen Guo (SMART), Zhiqing Hong (HKUST), Junyi Li (SMART), Shenhao Wang (UF), Jinhua Zhao (MIT)
Year of Publication:
Venue:
NeurIPS 2025 ScaleOPT workshop
2026
Publication Type:
Conference
Status:
Accepted
Authors:
Minwei Kong (SMART), Ao Qu (MIT), Xiaotong Guo (MIT), Wenbin Ouyang (MIT), Chonghe Jiang (MIT), Han Zheng (MIT), Yining Ma (MIT), Dingyi Zhuang (MIT), Yuhan Tang (MIT), Junyi Li (SMART), Hai Wang (SMU), Cathy Wu (MIT), Jinhua Zhao (MIT)