About

I am a fourth-year Ph.D. candidate in the Engineering Systems and Design pillar at Singapore University of Technology and Design, advised by Prof. Lingjie Duan. I am currently a visiting research student at The Hong Kong University of Science and Technology (Guangzhou).

My research sits at the theoretical foundations of human-centered AI and trustworthy learning. I use tools from game theory, mechanism design, differential privacy, and optimization to understand how people interact with AI systems. I also study machine unlearning and continual learning, with an emphasis on theoretical guarantees for privacy, fairness, and security.

I will be on the job market at the end of this year. Please feel free to reach out to discuss opportunities or shared research interests!

Recent News

Two first-author papers are accepted at ICML 2026!

I am visiting HKUST(GZ).

I presented our paper at MobiHoc 2025 in Houston, USA.

Publications

Published Papers

Passenger Congestion Alleviation in Large Hub Airport Ground-Access System Based on Queueing Theory

Yiting Hu, Xiling Luo, Dongmei Bai

Transportmetrica B: Transport Dynamics, 2023

Manuscripts Under Review

A Unified Certified Unlearning Method for Regularization-Based Continual Learning

Yiting Hu, Lingjie Duan

Human-in-the-Loop Learning Through Communication Restriction

Yiting Hu, Lingjie Duan

Under review at IEEE Transactions on Networking

Theory for Group-Robust Continual Learning

Yiting Hu, Lingjie Duan

Strategyproof Contextual Linear Bandit Algorithms

Yiting Hu, Lingjie Duan, Zixin Zhong

Regulating Human-in-the-Loop Learning for Dynamic LLMs

Fengjiao Li, Yiting Hu, Lingjie Duan

Professional

Talks

Truthful Mechanisms for Linear Bandit Games with Private Contexts

AAMAS.

Human-in-the-loop Learning Through Decentralized Communication Mechanisms

MobiHoc.

Theory of Continual Learning Against Data Poisoning Attacks

HKUST(GZ).

Teaching Experience

Teaching Assistant, Singapore University of Technology and Design

40.002 Optimisation

Teaching Assistant, SUTD undergraduate course.

40.302 Advanced Topics in Optimisation

Teaching Assistant, SUTD undergraduate elective.

40.305 Advanced Topics in Stochastic Modelling

Teaching Assistant, SUTD undergraduate course.

Technical Reviewer

  • IEEE INFOCOM, 2025
  • ICML, 2026
  • NeurIPS, 2026
  • ICLR, 2026
  • IEEE Transactions on Networking (IEEE TON)