The Cost of Transparency: Grid-Based File Access on the Avaki Data Grid. - H. Howie Huang; Andrew S. Grimshaw (ISPA, 2006)

A Feasibility Study of a Virtual Storage System for Large Organizations. - H. Howie Huang; John F. Karpovich; Andrew S. Grimshaw (VTDC@SC, 2006)

A highly available job execution service in computational service market. - Woochul Kang; H. Howie Huang; Andrew S. Grimshaw (GRID, 2007)

You Can't Always Get What You Want: Achieving Differentiated Service Levels with Pricing Agents in a Storage Grid. - H. Howie Huang; Andrew S. Grimshaw; John F. Karpovich (Web Intelligence, 2007)

Automated performance control in a virtual distributed storage system. - H. Howie Huang; Andrew S. Grimshaw (GRID, 2008)

Analyzing the feasibility of building a new mass storage system on distributed resources. - H. Howie Huang; John F. Karpovich; Andrew S. Grimshaw (Concurr. Comput. Pract. Exp., 2008)

VMGuard: An Integrity Monitoring System for Management Virtual Machines. - Haifeng Fang; Yiqiang Zhao; Hongyong Zang; H. Howie Huang; Ying Song; Yuzhong Sun; Zhiyong Liu 002 (ICPADS, 2010)

PicFS: The Privacy-Enhancing Image-Based Collaborative File System. - Chris Sosa; Blake C. Sutton; H. Howie Huang (ICPADS, 2010)

Black-Box Performance Modeling for Solid-State Drives. - Shan Li; H. Howie Huang (MASCOTS, 2010)

A control-theoretic approach to automated local policy enforcement in computational grids. - H. Howie Huang (Future Gener. Comput. Syst., 2010)

Low-power amdahl-balanced blades for data intensive computing. - Alexander S. Szalay; Gordon C. Bell; H. Howie Huang; Andreas Terzis; Alainna White (ACM SIGOPS Oper. Syst. Rev., 2010)

rPRAM: Exploring Redundancy Techniques to Improve Lifetime of PCM-based Main Memory. - Jie Chen 020; Zachary Winter; Guru Venkataramani; H. Howie Huang (PACT, 2011)

GPGPU accelerated cardiac arrhythmia simulations. - Wei Wang 082; H. Howie Huang; Matthew W. Kay; John Cavazos (EMBC, 2011)

Performance modeling and analysis of flash-based storage devices. - H. Howie Huang; Shan Li; Alexander S. Szalay; Andreas Terzis (MSST, 2011)

TRACON: interference-aware scheduling for data-intensive applications in virtualized environments. - Ron Chi-Lung Chiang; H. Howie Huang (SC, 2011)

Design, implementation and evaluation of a virtual storage system. - H. Howie Huang; Andrew S. Grimshaw (Concurr. Comput. Pract. Exp., 2011)

Energy-aware writes to non-volatile main memory. - Jie Chen 020; Ron Chi-Lung Chiang; H. Howie Huang; Guru Venkataramani (ACM SIGOPS Oper. Syst. Rev., 2011)

Understanding the effects of hypervisor I/O scheduling for virtual machine performance interference. - Ziye Yang; Haifeng Fang; Yingjun Wu; Chungi Li; Bin Zhao; H. Howie Huang (CloudCom, 2012)

RePRAM: Re-cycling PRAM faulty blocks for extended lifetime. - Jie Chen 020; Guru Venkataramani; H. Howie Huang (DSN, 2012)

Providing reliability as an elastic service in cloud computing. - Nakharin Limrungsi; Juzi Zhao; Yu Xiang 003; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (ICC, 2012)

Flashy prefetching for high-performance flash drives. - Ahsen J. Uppal; Ron Chi-Lung Chiang; H. Howie Huang (MSST, 2012)

Abstract: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation. - Hang Liu 001; Jung Hee Seo; Rajat Mittal 002; H. Howie Huang (SC Companion, 2012)

Pay as You Go in the Cloud: One Watt at a Time. - Kayo Teramoto; H. Howie Huang (SC Companion, 2012)

Poster: Pay as You Go in the Cloud: One Watt at a Time. - Kayo Teramoto; H. Howie Huang (SC Companion, 2012)

Just-in-Time Analytics on Large File Systems. - H. Howie Huang; Nan Zhang 004; Wei Wang 082; Gautam Das 001; Alexander S. Szalay (IEEE Trans. Computers, 2012)

DUAL: Reliability-Aware Power Management in Data Centers. - Xin Xu; Kayo Teramoto; Allan Morales; H. Howie Huang (CCGRID, 2013)

GPU-accelerated scalable solver for banded linear systems. - Hang Liu 001; Jung Hee Seo; Rajat Mittal 002; H. Howie Huang (CLUSTER, 2013)

Achieving high job execution reliability using underutilized resources in a computational economy. - Woochul Kang; H. Howie Huang; Andrew S. Grimshaw (Future Gener. Comput. Syst., 2013)

UniCache: Hypervisor Managed Data Storage in RAM and Flash. - Jinho Hwang; Wei Zhang 052; Ron Chi-Lung Chiang; Timothy Wood 001; H. Howie Huang (IEEE CLOUD, 2014)

Big data machine learning and graph analytics: Current state and future challenges. - H. Howie Huang; Hang Liu 001 (IEEE BigData, 2014)

Load Balancing of Heterogeneous Workloads in Memcached Clusters. - Wei Zhang 052; Jinho Hwang; Timothy Wood 001; K. K. Ramakrishnan; H. Howie Huang (Feedback Computing, 2014)

Understanding Reliability Implication of Hardware Error in Virtualization Infrastructure. - Xin Xu; H. Howie Huang (HotDep, 2014)

Matrix: Achieving Predictable Virtual Machine Performance in the Clouds. - Ron Chi-Lung Chiang; Jinho Hwang; H. Howie Huang; Timothy Wood 001 (ICAC, 2014)

Xentry: Hypervisor-Level Soft Error Detection. - Xin Xu; Ron Chi-Lung Chiang; H. Howie Huang (ICPP, 2014)

Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing. - Yu Xiang 003; Hang Liu 001; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (DCC@SIGCOMM, 2014)

Mortar: filling the gaps in data center memory. - Jinho Hwang; Ahsen J. Uppal; Timothy Wood 001; H. Howie Huang (VEE, 2014)

Exploring Dynamic Redundancy to Resuscitate Faulty PCM Blocks. - Jie Chen 020; Guru Venkataramani; H. Howie Huang (ACM J. Emerg. Technol. Comput. Syst., 2014)

TRACON: Interference-Aware Schedulingfor Data-Intensive Applicationsin Virtualized Environments. - Ron Chi-Lung Chiang; H. Howie Huang (IEEE Trans. Parallel Distributed Syst., 2014)

DualVisor: Redundant Hypervisor Execution for Achieving Hardware Error Resilience in Datacenters. - Xin Xu; H. Howie Huang (CCGRID, 2015)

IOrchestra: supporting high-performance data-intensive applications in the cloud via collaborative virtualization. - Ron Chi-Lung Chiang; H. Howie Huang; Timothy Wood 001; Changbin Liu; Oliver Spatscheck (SC, 2015)

Enterprise: breadth-first graph traversal on GPUs. - Hang Liu 001; H. Howie Huang (SC, 2015)

Swiper: Exploiting Virtual Machine Vulnerability in Third-Party Clouds with Competition for I/O Resources. - Ron Chi-Lung Chiang; Sundaresan Rajasekaran; Nan Zhang 004; H. Howie Huang (IEEE Trans. Parallel Distributed Syst., 2015)

Exploring Data-Level Error Tolerance in High-Performance Solid-State Drives. - Xin Xu; H. Howie Huang (IEEE Trans. Reliab., 2015)

Performance Analysis of GPU-Based Convolutional Neural Networks. - Xiaqing Li; Guangyan Zhang; H. Howie Huang; Zhufan Wang; Weimin Zheng (ICPP, 2016)

G-store: high-performance graph store for trillion-edge processing. - Pradeep Kumar; H. Howie Huang (SC, 2016)

iBFS: Concurrent Breadth-First Search on GPUs. - Hang Liu 001; H. Howie Huang; Yang Hu (SIGMOD Conference, 2016)

Computational modeling of cardiac hemodynamics: Current status and future outlook. - Rajat Mittal 002; Jung Hee Seo; Vijay Vedula; Young J. Choi; Hang Liu 001; H. Howie Huang; Saurabh Jain; Laurent Younes; Theodore Abraham; Richard T. George (J. Comput. Phys., 2016)

On Soft Error Reliability of Virtualization Infrastructure. - Xin Xu; H. Howie Huang (IEEE Trans. Computers, 2016)

SafeNVM: A Non-Volatile Memory Store with Thread-Level Page Protection. - Pradeep Kumar; H. Howie Huang (BigData Congress, 2017)

Graphene: Fine-Grained IO Management for Graph Computing. - Hang Liu 001; H. Howie Huang (FAST, 2017)

TriX: Triangle counting at extreme scale. - Yang Hu; Pradeep Kumar; Guy Swope; H. Howie Huang (HPEC, 2017)

Scalable stochastic block partition. - Ahsen J. Uppal; Guy Swope; H. Howie Huang (HPEC, 2017)

A novel ReRAM-based processing-in-memory architecture for graph computing. - Lei Han; Zhaoyan Shen; Zili Shao; H. Howie Huang; Tao Li 006 (NVMSA, 2017)

Falcon: Scaling IO Performance in Multi-SSD Volumes. - Pradeep Kumar; H. Howie Huang (USENIX ATC, 2017)

Elastic Reliability Optimization Through Peer-to-Peer Checkpointing in Cloud Computing. - Juzi Zhao; Yu Xiang 003; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (IEEE Trans. Parallel Distributed Syst., 2017)

An Adaptive IO Prefetching Approach for Virtualized Data Centers. - Ron Chi-Lung Chiang; Ahsen J. Uppal; H. Howie Huang (IEEE Trans. Serv. Comput., 2017)

High-Performance Triangle Counting on GPUs. - Yang Hu; Hang Liu 001; H. Howie Huang (HPEC, 2018)

Fast Stochastic Block Partition for Streaming Graphs. - Ahsen J. Uppal; H. Howie Huang (HPEC, 2018)

TriCore: parallel triangle counting on GPUs. - Yang Hu; Hang Liu 001; H. Howie Huang (SC, 2018)

iSpan: parallel identification of strongly connected components with spanning trees. - Yuede Ji; Hang Liu 001; H. Howie Huang (SC, 2018)

A Novel ReRAM-Based Processing-in-Memory Architecture for Graph Traversal. - Lei Han; Zhaoyan Shen; Duo Liu; Zili Shao; H. Howie Huang; Tao Li 006 (ACM Trans. Storage, 2018)

High-Performance Deep Learning Classification for Radio Signals. - Ahsen J. Uppal; Michael Hegarty; William Haftel; Phil A. Sallee; H. Brown Cribbs; H. Howie Huang (ACSSC, 2019)

Securing Malware Cognitive Systems against Adversarial Attacks. - Yuede Ji; Benjamin Bowman; H. Howie Huang (ICCC, 2019)

CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching. - Bibek Bhattarai; Hang Liu 001; H. Howie Huang (SIGMOD Conference, 2019)

SIMD-X: Programming and Processing of Graph Algorithms on GPUs. - Hang Liu 001; H. Howie Huang (USENIX ATC, 2019)

VGRAPH: A Robust Vulnerable Code Clone Detection System Using Code Property Triplets. - Benjamin Bowman; H. Howie Huang (EuroS&P, 2020)

SWARMGRAPH: Analyzing Large-Scale In-Memory Graphs on GPUs. - Yuede Ji; Hang Liu 001; H. Howie Huang (HPCC/DSS/SmartCity, 2020)

Aquila: Adaptive Parallel Computation of Graph Connectivity Queries. - Yuede Ji; H. Howie Huang (HPDC, 2020)

Rumor Has It: Optimizing the Belief Propagation Algorithm for Parallel Processing. - Michael Trotter; Timothy Wood 001; H. Howie Huang (ICPP Workshops, 2020)

Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph AI. - Benjamin Bowman; Craig Laprade; Yuede Ji; H. Howie Huang (RAID, 2020)

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset. - Craig Laprade; Benjamin Bowman; H. Howie Huang (CoRR, 2020)

A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games. - Ding Ding; H. Howie Huang (CoRR, 2020)

GraphOne: A Data Store for Real-time Analytics on Evolving Graphs. - Pradeep Kumar; H. Howie Huang (ACM Trans. Storage, 2020)

Vestige: Identifying Binary Code Provenance for Vulnerability Detection. - Yuede Ji; Lei Cui; H. Howie Huang (ACNS (2), 2021)

Rich Feature Deep Learning Classifier for Multiple Simultaneous Radio Signals. - Ahsen J. Uppal; Jeffrey Klein; H. Brown Cribbs; H. Howie Huang (ACSCC, 2021)

BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network. - Yuede Ji; Lei Cui; H. Howie Huang (AsiaCCS, 2021)

Faster Stochastic Block Partition Using Aggressive Initial Merging, Compressed Representation, and Parallelism Control. - Ahsen J. Uppal; Jaeseok Choi; Thomas B. Rolinger; H. Howie Huang (HPEC, 2021)

Automatic Generation of High-Performance Inference Kernels for Graph Neural Networks on Multi-Core Systems. - Qiang Fu; H. Howie Huang (ICPP, 2021)

Towards Next-Generation Cybersecurity with Graph AI. - Benjamin Bowman; H. Howie Huang (ACM SIGOPS Oper. Syst. Rev., 2021)

Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling. - Yu Xiang 003; Hang Liu 001; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (IEEE Trans. Netw. Serv. Manag., 2021)

SteinerLog: Prize Collecting the Audit Logs for Threat Hunting on Enterprise Network. - Bibek Bhattarai; H. Howie Huang (AsiaCCS, 2022)

Graggle: A Graph-based Approach to Document Clustering. - Isaiah J. King; H. Howie Huang (IEEE Big Data, 2022)

Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. - Dongsuk Oh; Yejin Kim; Hodong Lee; H. Howie Huang; Heuiseok Lim (COLING, 2022)

Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis. - Haoyu He; Yuede Ji; H. Howie Huang (EuroS&P, 2022)

TLPGNN: A Lightweight Two-Level Parallelism Paradigm for Graph Neural Network Computation on GPU. - Qiang Fu; Yuede Ji; H. Howie Huang (HPDC, 2022)

NestedGNN: Detecting Malicious Network Activity with Nested Graph Neural Networks. - Yuede Ji; H. Howie Huang (ICC, 2022)

Mnemonic: A Parallel Subgraph Matching System for Streaming Graphs. - Bibek Bhattarai; H. Howie Huang (IPDPS, 2022)

Euler: Detecting Network Lateral Movement via Scalable Temporal Graph Link Prediction. - Isaiah J. King; H. Howie Huang (NDSS, 2022)

Pikachu: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection. - Ramesh Paudel; H. Howie Huang (NOMS, 2022)

Domain name service trust delegation in cloud computing: exploitation, risks, and defense. - Craig Laprade; H. Howie Huang (SAC, 2022)

iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees. - Yuede Ji; Hang Liu 001; Yang Hu; H. Howie Huang (ACM Trans. Parallel Comput., 2022)

Decontentioned Stochastic Block Partition. - Ahsen J. Uppal; Thomas B. Rolinger; H. Howie Huang (HPEC, 2023)

EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection. - Isaiah J. King; Xiaokui Shu; Jiyong Jang; Kevin Eykholt; Taesung Lee; H. Howie Huang (RAID, 2023)

Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection. - Bibek Bhattarai; H. Howie Huang (CoRR, 2023)

PROPANE: Prompt design as an inverse problem. - Rimon Melamed; Lucas H. McCabe; Tanay Wakhare; Yejin Kim; H. Howie Huang; Enric Boix-Adserà (CoRR, 2023)

Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction. - Isaiah J. King; H. Howie Huang (ACM Trans. Priv. Secur., 2023)

Prov2vec: Learning Provenance Graph Representation for Anomaly Detection in Computer Systems. - Bibek Bhattarai; H. Howie Huang (ARES, 2024)

Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks. - Isaiah J. King; Benjamin Bowman; H. Howie Huang (IEEE Big Data, 2024)

JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication. - Qiang Fu; Thomas B. Rolinger; H. Howie Huang (CGO, 2024)

Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. - Yejin Kim; Scott Rome; Kevin Foley; Mayur Nankani; Rimon Melamed; Javier Morales; Abhay Yadav; Maria Peifer; Sardar Hamidian; H. Howie Huang (LREC/COLING, 2024)

Prompts have evil twins. - Rimon Melamed; Lucas H. McCabe; Tanay Wakhare; Yejin Kim; H. Howie Huang; Enric Boix-Adserà (EMNLP, 2024)

Towards Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication on GPUs. - Seth David Kay; H. Howie Huang (HPEC, 2024)

Causal Reasoning in Large Language Models: A Knowledge Graph Approach. - Yejin Kim; Eojin Kang; Juae Kim; H. Howie Huang (CoRR, 2024)

Maui: Black-Box Edge Privacy Attack on Graph Neural Networks. - Haoyu He; Isaiah J. King; H. Howie Huang (Proc. Priv. Enhancing Technol., 2024)

TLPGNN: A Lightweight Two-level Parallelism Paradigm for Graph Neural Network Computation on Single and Multiple GPUs. - Qiang Fu; Yuede Ji; Thomas B. Rolinger; H. Howie Huang (ACM Trans. Parallel Comput., 2024)

Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. - Mitchell Kiely; Metin Ahiskali; Etienne Borde; Benjamin Bowman; David Bowman; Dirk Van Bruggen; KC Cowan; Prithviraj Dasgupta; Erich Devendorf; Ben Edwards; Alex Fitts; Sunny Fugate; et al. (AAAI, 2025)

Revelio: Revealing Important Message Flows in Graph Neural Networks. - Haoyu He; Isaiah J. King; H. Howie Huang (ICDE, 2025)

Trail: A Knowledge Graph-Based Approach for Attributing Advanced Persistent Threats. - Isaiah J. King; Ramiro Ramirez; Benjamin Bowman; H. Howie Huang (ICDE, 2025)

Predicting Movie Hits Before They Happen with LLMs. - Shaghayegh Agah; Yejin Kim; Neeraj Sharma; Mayur Nankani; Kevin Foley; H. Howie Huang; Sardar Hamidian (UMAP, 2025)

SynCSE: syntax graph-based contrastive learning of sentence embeddings. - Yejin Kim; Dongsuk Oh; H. Howie Huang (Expert Syst. Appl., 2025)

The Future of Digital Twin Research and Development. - Douglas L. Van Bossuyt; Douglas Allaire; Jason Bickford; Thomas A. Bozada; Wei Wayne Chen; Roger P. Cutitta; Robert Cuzner; Kristen Fletcher; Ronald Giachetti; Britta Hale; H. Howie Huang; Michael Keidar; et al. (J. Comput. Inf. Sci. Eng., 2025)

Demystifying optimized prompts in language models. - Rimon Melamed; Lucas H. McCabe; H. Howie Huang (CoRR, 2025)