Howie Huang
Howie Huang
Professor
Department: Electrical and Computer Engineering
Contact:
SEH 6610 | Office hours: By appointment
Professor Howie Huang's research spans graph and AI algorithms, computer systems, and architecture, with a primary focus on developing high-performance computing and machine learning techniques tailored for large-scale graph datasets. Through his GraphLab, he explores novel applications of graph-based knowledge discovery across cybersecurity, social networks, and healthcare.
His work has been supported by the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), and the Department of Defense (DoD), alongside leading industry partners such as Raytheon, IBM, NVIDIA, and Comcast. A recipient of the prestigious NSF CAREER Award, Prof. Huang has published over 130 technical papers in premier conferences and journals, earning numerous best paper awards and nominations.
In addition to his research, Prof. Huang has served as an Associate Editor for IEEE Transactions on Parallel and Distributed Systems (TPDS) and IEEE Transactions on Cloud Computing (TCC). His editorial contributions were recognized with the 2020 IEEE TCC Editorial Excellence and Eminence Award and the 2021 IEEE TPDS Award for Editorial Excellence.
- Ph.D., University of Virginia, 2008
- Graph Analytics
- AI and Machine Learning
- Cybersecurity
- Computer Systems and Architecture
- High-Performance Computing
McCabe, Lucas H. ; Melamed, Rimon ; Hartvigsen, Thomas ; Huang, H. H.: Estimating Semantic Alphabet Size for LLM Uncertainty Quantification. In: Proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026
Melamed, Rimon ; McCabe, Lucas H. ; Huang, H H.: Demystifying optimized prompts in language models. In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
King, Isaiah J. ; Ramirez, Ramiro ; Bowman, Benjamin ; Huang, H. H.: Trail: A Knowledge Graph-Based Approach for Attributing Advanced Persistent Threats . In: 2025 IEEE 41st International Conference on Data Engineering (ICDE). 2025
He, Haoyu ; King, Isaiah J. ; Huang, H. H.: Revelio: Revealing Important Message Flows in Graph Neural Networks . In: 2025 IEEE 41st International Conference on Data Engineering (ICDE). 2025
Kiely et al.: Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 39 (2025)
Melamed, Rimon ; McCabe, Lucas H. ; Wakhare, Tanay ; Kim, Yejin ; Huang, H. H. ; Boix-Adsera, Enric: Prompts have evil twins. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2024
Fu, Qiang ; Rolinger, Thomas B. ; Huang, H H.: JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication. In: 2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024. Distinguished Paper Award
King, Isaiah J. ; Shu, Xiaokui ; Jang, Jiyong ; Eykholt, Kevin ; Lee, Taesung ; Huang, H. H.: EdgeTorrent: Real-Time Temporal Graph Representations for Intrusion Detection. In: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID). 2023
King, Isaiah ; Huang, H. H.: Euler: Detecting Network Lateral Movement via Scalable Temporal Graph Link Prediction. In: Proceedings of 29th Network and Distributed System Security Symposium (NDSS), 2022
Uppal, Ahsen J. ; Choi, Jaeseok ; Rolinger, Thomas ; Huang, H. H.: Faster Stochastic Block Partition using Aggressive Initial Merging, Compressed Representation, and Parallelism Control. In: Proceedings of IEEE High Performance Extreme Computing Conference (HPEC), 2021. Graph Challenge Champion Award
- Distinguished Paper Award, the International Symposium on Code Generation and Optimization (CGO) 2024
- Inventor Member, National Academy of Inventors, 2024
- IEEE HPEC Graph Challenge Champion Award 2021
- IEEE TPDS Awards for Editorial Excellence 2021
- IEEE TCC Editorial Excellence and Eminence Award 2020
- Comcast Technology Research and Development Fund Award 2015
- NSF CAREER Award 2014
- GWU School of Engineering and Applied Science Outstanding Young Researcher Award 2014
- NVIDIA Academic Partnership Award 2011
- IBM Real Time Innovation Award 2008