Performance Portability Evaluation of OpenCL Benchmarks across Intel and NVIDIA Platforms. - Colleen Bertoni; JaeHyuk Kwack; Thomas Applencourt; Yasaman Ghadar; Brian Homerding; Christopher Knight 001; Brice Videau; Huihuo Zheng; Vitali A. Morozov; Scott Parker (IPDPS Workshops, 2020)

Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction. - Jonathan Schwartz; Huihuo Zheng; Marcus Hanwell; Yi Jiang; Robert Hovden (CoRR, 2020)

DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications. - Hariharan Devarajan; Huihuo Zheng; Anthony Kougkas; Xian-He Sun; Venkatram Vishwanath (CCGRID, 2021)

Atomic Defect Identification with Sparse Sampling and Deep Learning. - Michael C. Cao; Jonathan Schwartz; Huihuo Zheng; Yi Jiang; Robert Hovden; Yimo Han (SMC, 2021)

Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers. - Asad Khan; Eliu A. Huerta; Huihuo Zheng (CoRR, 2021)

Stimulus: Accelerate Data Management for Scientific AI applications in HPC. - Hariharan Devarajan; Anthony Kougkas; Huihuo Zheng; Venkatram Vishwanath; Xian-He Sun (CCGRID, 2022)

HDF5 Cache VOL: Efficient and Scalable Parallel I/O through Caching Data on Node-local Storage. - Huihuo Zheng; Venkatram Vishwanath; Quincey Koziol; Houjun Tang; John Ravi; John Mainzer; Suren Byna (CCGRID, 2022)

Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale. - Pranshu Chaturvedi; Asad Khan; Minyang Tian; Eliu A. Huerta; Huihuo Zheng (Frontiers Artif. Intell., 2022)

Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection. - Minyang Tian; Eliu A. Huerta; Huihuo Zheng (CoRR, 2023)

AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers. - Minyang Tian; Eliu A. Huerta; Huihuo Zheng (CoRR, 2023)

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. - Hariharan Devarajan; Loïc Pottier; Kaushik Velusamy; Huihuo Zheng; Izzet Yildirim; Olga Kogiou; Weikuan Yu; Anthony Kougkas; Xian-He Sun; Jae-Seung Yeom; Kathryn M. Mohror (SC, 2024)

MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. - Gautham Dharuman; Kyle Hippe; Alexander Brace; Sam Foreman; Väinö Hatanpää; Varuni Katti Sastry; Huihuo Zheng; Logan T. Ward; Servesh Muralidharan; Archit Vasan; Bharat Kale; Carla M. Mann; et al. (SC, 2024)

Copper: Cooperative Caching Layer for Scalable Data Loading in Exascale Supercomputers. - Noah Lewis; Kaushik Velusamy; Kevin Harms; Huihuo Zheng (SC Workshops, 2024)

h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms. - Jean Luca Bez; Houjun Tang; M. Scot Breitenfeld; Huihuo Zheng; Wei-Keng Liao; Kaiyuan Hou; Zanhua Huang; Suren Byna (Concurr. Comput. Pract. Exp., 2024)

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. - Hariharan Devarajan; Loic Pottier; Kaushik Velusamy; Huihuo Zheng; Izzet Yildirim; Olga Kogiou; Weikuan Yu; Anthony Kougkas; Xian-He Sun; Jae-Seung Yeom; Kathryn M. Mohror (Zenodo, 2024)

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. - Ozan Gökdemir; Carlo Siebenschuh; Alexander Brace; Azton Wells; Brian Hsu; Kyle Hippe; Priyanka Setty; Aswathy Ajith; J. Gregory Pauloski; Varuni Sastry; Sam Foreman; Huihuo Zheng; et al. (PASC, 2025)

HDF5 in the exascale era: Delivering efficient and scalable parallel I/O for exascale applications. - M. Scot Breitenfeld; Houjun Tang; Huihuo Zheng; Jordan Henderson; Suren Byna (Int. J. High Perform. Comput. Appl., 2025)

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. - Ozan Gökdemir; Carlo Siebenschuh; Alexander Brace; Azton Wells; Brian Hsu; Kyle Hippe; Priyanka Vasanthakumari; Aswathy Ajith; J. Gregory Pauloski; Varuni Katti Sastry; Sam Foreman; Huihuo Zheng; et al. (CoRR, 2025)