Talks

Invited Talks

  • Hong Kong University of Science and Technology (Guangzhou), China, 2025

  • The Renmin University of China, China, 2026

  • Tianjin University, China, 2026

  • Shanghai University of Finance and Economics, China, 2026

Conferences

[1] From Abduction to Reflection: Harnessing LLM Reasoning for Online A/B Testing

Xiaohui Liu, Liang Zhang, and Hock-Hai Teo.

  • INFORMS Annual Meeting, San Francisco, USA, 2026

  • Singapore IS Research Inter-University Symposium, Singapore, 2026

[2] How algorithmic pricing aggressiveness affects tipping behaviour in ride-hailing services? Empirical evidence from Uber

Xiaohui Liu, Liang Zhang, Yujing Ma, Wei Ma, and Hock-Hai Teo.

  • Invited talk — INFORMS International Meeting, Singapore, 2025

  • Invited talk — INFORMS Annual Meeting, Seattle, USA, 2024

  • 21st Symposium on Electronic Commerce Research (SCECR), Paphos, Cyprus, 2025

  • Joint Summer Research Workshop, Singapore, 2025

  • NUS Brownbag, Singapore, 2024

[3] Is more always better? Evaluating the augmentation effect of additional algorithms on investment decision-making.

Xiaohui Liu, Jiamin Yin, Liang Zhang, and Hock-Hai Teo.

  • NUS DISA Summer Workshop, Singapore, 2024

  • NUS Brownbag, Singapore, 2023

[4] Estimating and mitigating the congestion effect of curbside pick-ups and drop-offs: A causal inference approach.

Xiaohui Liu, Sean Qian, Wei Ma, and Hock-Hai Teo.

  • INFORMS Annual Meeting, Online, 2021

  • International Symposium on Transportation Data and Modeling (ISTDM), Online, 2021