AutoAI-TS: AutoAI for Time Series Forecasting. - Syed Yousaf Shah; Dhaval Patel 002; Long Vu; Xuan-Hong Dang; Bei Chen; Peter Kirchner; Horst Samulowitz; David Wood; Gregory Bramble; Wesley M. Gifford; Giridhar Ganapavarapu; Roman Vaculín; et al. (SIGMOD Conference, 2021)

AutoDOViz: Human-Centered Automation for Decision Optimization. - Daniel Karl I. Weidele; Shazia Afzal; Abel N. Valente; Cole Makuch; Owen Cornec; Long Vu; Dharmashankar Subramanian; Werner Geyer; Rahul Nair; Inge Vejsbjerg; Radu Marinescu 002; Paulito P. Palmes; et al. (IUI, 2023)

Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models. - Nandana Mihindukulasooriya; Sarthak Dash; Sugato Bagchi; Md. Faisal Mahbub Chowdhury; Alfio Massimiliano Gliozzo; Ariel Farkash; Michael R. Glass; Igor Gokhman; Oktie Hassanzadeh; Nhan Pham; Gaetano Rossiello; Boris Rozenberg; et al. (ISWC (Posters/Demos/Industry), 2023)

The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America. - Richard Arsenault; David Huard; Jean-Luc Martel; Magali Troin; Juliane Mai; François Brissette; Christian Jauvin; Long Vu; James R. Craig; Trevor James Smith; Travis Logan; Bryan A. Tolson; et al. (Environ. Model. Softw., 2023)

Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. - Md. Romyull Islam; Long Vu; Nobel Dhar; Bobin Deng; Kun Suo (ACM Southeast Regional Conference, 2024)

A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. - Kun Suo; Long Vu; Md. Romyull Islam; Nobel Dhar; Tu N. Nguyen 001; Selena He; Xiaofeng Wu 002 (ACM Southeast Regional Conference, 2024)

Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. - Long Vu; Kun Suo; Md. Romyull Islam; Nobel Dhar; Tu N. Nguyen 001; Selena He; Yong Shi 002 (ACM Southeast Regional Conference, 2024)

Adaptive Primal-Dual Method for Safe Reinforcement Learning. - Weiqin Chen 003; James Onyejizu; Long Vu; Lan Hoang; Dharmashankar Subramanian; Koushik Kar; Sandipan Mishra; Santiago Paternain (AAMAS, 2024)

Instance-Level Metalearning for Outlier Detection. - Long Vu; Peter Kirchner; Charu C. Aggarwal; Horst Samulowitz (IJCAI, 2024)

Extractive Schema Linking for Text-to-SQL. - Michael R. Glass; Mustafa Eyceoz; Dharmashankar Subramanian; Gaetano Rossiello; Long Vu; Alfio Gliozzo (CoRR, 2025)