Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. - Gurbinder Gill; Roshan Dathathri; Loc Hoang; Andrew Lenharth; Keshav Pingali (Euro-Par, 2018)

A Lightweight Communication Runtime for Distributed Graph Analytics. - Hoang-Vu Dang; Roshan Dathathri; Gurbinder Gill; Alex Brooks; Nikoli Dryden; Andrew Lenharth; Loc Hoang; Keshav Pingali; Marc Snir (IPDPS, 2018)

Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. - Roshan Dathathri; Gurbinder Gill; Loc Hoang; Hoang-Vu Dang; Alex Brooks; Nikoli Dryden; Marc Snir; Keshav Pingali (PLDI, 2018)

A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms. - Gurbinder Gill; Roshan Dathathri; Loc Hoang; Keshav Pingali (Proc. VLDB Endow., 2018)

Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics. - Roshan Dathathri; Gurbinder Gill; Loc Hoang; Vishwesh Jatala; Keshav Pingali; V. Krishna Nandivada; Hoang-Vu Dang; Marc Snir (PACT, 2019)

Phoenix: A Substrate for Resilient Distributed Graph Analytics. - Roshan Dathathri; Gurbinder Gill; Loc Hoang; Keshav Pingali (ASPLOS, 2019)

DistTC: High Performance Distributed Triangle Counting. - Loc Hoang; Vishwesh Jatala; Xuhao Chen 001; Udit Agarwal; Roshan Dathathri; Gurbinder Gill; Keshav Pingali (HPEC, 2019)

CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. - Loc Hoang; Roshan Dathathri; Gurbinder Gill; Keshav Pingali (IPDPS, 2019)

A round-efficient distributed betweenness centrality algorithm. - Loc Hoang; Matteo Pontecorvi; Roshan Dathathri; Gurbinder Gill; Bozhi You; Keshav Pingali; Vijaya Ramachandran (PPoPP, 2019)

An Adaptive Load Balancer For Graph Analytical Applications on GPUs. - Vishwesh Jatala; Loc Hoang; Roshan Dathathri; Gurbinder Gill; V. Krishna Nandivada; Keshav Pingali (CoRR, 2019)

A Study of APIs for Graph Analytics Workloads. - Hochan Lee; David C. Wong 001; Loc Hoang; Roshan Dathathri; Gurbinder Gill; Vishwesh Jatala; David Kuck; Keshav Pingali (IISWC, 2020)

A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. - Vishwesh Jatala; Roshan Dathathri; Gurbinder Gill; Loc Hoang; V. Krishna Nandivada; Keshav Pingali (IPDPS, 2020)

Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. - Gurbinder Gill; Roshan Dathathri; Loc Hoang; Ramesh Peri; Keshav Pingali (Proc. VLDB Endow., 2020)

Sandslash: a two-level framework for efficient graph pattern mining. - Xuhao Chen 001; Roshan Dathathri; Gurbinder Gill; Loc Hoang; Keshav Pingali (ICS, 2021)

Optimizing Graph Transformer Networks with Graph-based Techniques. - Loc Hoang; Udit Agarwal; Gurbinder Gill; Roshan Dathathri; Abhik Seal; Brian Martin; Keshav Pingali (CoRR, 2021)

BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs. - Loc Hoang; Rita Brugarolas Brufau; Ke Ding; Bo Wu (CoRR, 2023)

HiTA: A RAG-Based Educational Platform that Centers Educators in the Instructional Loop. - Chang Liu 122; Loc Hoang; Andrew Stolman; Bo Wu 002 (AIED (2), 2024)

Understanding Student Engagement with Large Language Model-Powered Course Assistants. - Chang Liu 122; Loc Hoang; Andrew Stolman; René F. Kizilcec; Bo Wu 002 (AIED (6), 2025)

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses. - Chang Liu 122; Loc Hoang; Andrew Stolman; René F. Kizilcec; Bo Wu 002 (CoRR, 2025)