On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. - Ming Jin 002; Vanshaj Khattar; Harshal Kaushik; Bilgehan Sel; Ruoxi Jia 001 (AAAI, 2023)

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. - Vanshaj Khattar; Ming Jin 002 (AAAI, 2023)

A CMDP-within-online framework for Meta-Safe Reinforcement Learning. - Vanshaj Khattar; Yuhao Ding; Bilgehan Sel; Javad Lavaei; Ming Jin 002 (ICLR, 2023)

TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning. - Mostafa Meimand; Vanshaj Khattar; Zahra Yazdani; Farrokh Jazizadeh; Ming Jin 002 (BuildSys, 2023)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Lu Wang 029; Ruoxi Jia 001; Ming Jin 002 (CoRR, 2023)

Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning. - Vanshaj Khattar; Ming Jin 002 (ACC, 2024)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Ruoxi Jia 001; Ming Jin 002 (ICML, 2024)

Zero-day Attack Detection in Digital Substations using In-Context Learning. - Faizan Manzoor; Vanshaj Khattar; Chen-Ching Liu; Ming Jin (SmartGridComm, 2024)

Detecting Zero-Day Attacks in Digital Substations via In-Context Learning. - Faizan Manzoor; Vanshaj Khattar; Akila Herath; Clifton Black; Matthew C. Nielsen; Junho Hong; Chen-Ching Liu; Ming Jin (CoRR, 2025)