A Markov Detection Tree-Based Centralized Scheme to Automatically Identify Malicious Webpages on Cloud Platforms. - Jianhua Liu 004; Mengda Xu; Xin Wang 001; Shigen Shen; Minglu Li 001 (IEEE Access, 2018)

Reinforcement Learning for Market Making in a Multi-agent Dealer Market. - Sumitra Ganesh; Nelson Vadori; Mengda Xu; Hua Zheng; Prashant P. Reddy; Manuela Veloso (CoRR, 2019)

Towards a fully rl-based market simulator. - Leo Ardon; Nelson Vadori; Thomas Spooner; Mengda Xu; Jared Vann; Sumitra Ganesh (ICAIF, 2021)

ASPiRe: Adaptive Skill Priors for Reinforcement Learning. - Mengda Xu; Manuela Veloso; Shuran Song (NeurIPS, 2022)

Mixture of basis for interpretable continual learning with distribution shifts. - Mengda Xu; Sumitra Ganesh; Pranay Pasula (CoRR, 2022)

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. - Nelson Vadori; Leo Ardon; Sumitra Ganesh; Thomas Spooner; Selim Amrouni; Jared Vann; Mengda Xu; Zeyu Zheng; Tucker Balch; Manuela Veloso (CoRR, 2022)

XSkill: Cross Embodiment Skill Discovery. - Mengda Xu; Zhenjia Xu; Cheng Chi; Manuela Veloso; Shuran Song (CoRL, 2023)

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. - Yuchen Xiao; Yanchao Sun; Mengda Xu; Udari Madhushani; Jared Vann; Deepeka Garg; Sumitra Ganesh (CoRR, 2023)

Flow as the Cross-domain Manipulation Interface. - Mengda Xu; Zhenjia Xu; Yinghao Xu 001; Cheng Chi; Gordon Wetzstein; Manuela Veloso; Shuran Song (CoRL, 2024)

DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation. - Mengda Xu; Han Zhang; Yifan Hou; Zhenjia Xu; Linxi Fan; Manuela Veloso; Shuran Song (CoRR, 2025)