UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow. - Dan Huang 001; Jiangling Yin; Jun Wang 001; Xuhong Zhang 002; Junyao Zhang; Jian Zhou 004 (CloudCom-Asia, 2015)

Opass: Analysis and Optimization of Parallel Data Access on Distributed File Systems. - Jiangling Yin; Jun Wang 001; Jian Zhou 004; Tyler Lukasiewicz; Dan Huang 001; Junyao Zhang (IPDPS, 2015)

Experiences in using os-level virtualization for block I/O. - Dan Huang 001; Jun Wang 001; Qing Liu 002; Jiangling Yin; Xuhong Zhang 002; Xunchao Chen (PDSW@SC, 2015)

Deister: A Light-Weight Autonomous Block Management in Data-Intensive File Systems Using Deterministic Declustering Distribution. - Xuhong Zhang 002; Jiangling Yin; Jun Wang 001; Ruijun Wang; Dan Huang 001 (SmartCity, 2015)

AOS: adaptive overwrite scheme for energy-efficient MLC STT-RAM cache. - Xunchao Chen; Navid Khoshavi; Jian Zhou 004; Dan Huang 001; Ronald F. DeMara; Jun Wang 001; Wujie Wen; Yiran Chen 001 (DAC, 2016)

DFS-container: achieving containerized block I/O for distributed file systems. - Dan Huang 001; Jun Wang 001; Qing Liu 001; Xuhong Zhang 002; Xunchao Chen; Jian Zhou 004 (SoCC, 2017)

SideIO: A Side I/O system framework for hybrid scientific workflow. - Jun Wang 001; Dan Huang 001; Huafeng Wu; Jiangling Yin; Xuhong Zhang 002; Xunchao Chen; Ruijun Wang (J. Parallel Distributed Comput., 2017)

Deister: A light-weight autonomous block management in data-intensive file systems using deterministic declustering distribution. - Jun Wang 001; Xuhong Zhang 002; Junyao Zhang; Jiangling Yin; Dezhi Han; Ruijun Wang; Dan Huang 001 (J. Parallel Distributed Comput., 2017)

Energy-Aware Adaptive Restore Schemes for MLC STT-RAM Cache. - Xunchao Chen; Navid Khoshavi; Ronald F. DeMara; Jun Wang 001; Dan Huang 001; Wujie Wen; Yiran Chen 001 (IEEE Trans. Computers, 2017)

Performance Evaluation and Analysis for MPI-Based Data Movement in Virtual Switch Network. - Dan Huang 001; Jun Wang 001; Dezhi Han (NAS, 2018)

Achieving Load Balance for Parallel Data Access on Distributed File Systems. - Dan Huang 001; Dezhi Han; Jun Wang 001; Jiangling Yin; Xunchao Chen; Xuhong Zhang 002; Jian Zhou 004; Mao Ye 008 (IEEE Trans. Computers, 2018)

Identifying Latent Reduced Models to Precondition Lossy Compression. - Huizhang Luo; Dan Huang 001; Qing Liu 002; Zhenbo Qiao; Hong Jiang 001; Jing Bi 001; Haitao Yuan 001; Mengchu Zhou; Jinzhen Wang; Zhenlu Qin (IPDPS, 2019)

Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? - Dan Huang 001; Qing Liu 002; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Jeremy Logan; George Ostrouchov; Xubin He; Matthew Wolf (IEEE Trans. Computers, 2019)

Harnessing Data Movement in Virtual Clusters for In-Situ Execution. - Dan Huang 001; Qing Liu 002; Scott Klasky; Jun Wang 001; Jong Youl Choi; Jeremy Logan; Norbert Podhorszki (IEEE Trans. Parallel Distributed Syst., 2019)

A Comprehensive Study of In-Memory Computing on Large HPC Systems. - Dan Huang 001; Zhenlu Qin; Qing Liu 002; Norbert Podhorszki; Scott Klasky (ICDCS, 2020)

Improving the efficiency of HPC data movement on container-based virtual cluster. - Dan Huang 001; Yutong Lu (CCF Trans. High Perform. Comput., 2020)

Optimizing Massively Parallel Winograd Convolution on ARM Processor. - Dongsheng Li; Dan Huang 001; Zhiguang Chen 001; Yutong Lu (ICPP, 2021)

A Fine-grained Optimization to Winograd Convolution Based on Micro-architectural Features of CPU. - Xiaofeng Chen; Zhiguang Chen 001; Yutong Lu; Dan Huang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Enhancing Proportional IO Sharing on Containerized Big Data File Systems. - Dan Huang 001; Jun Wang 001; Qing Liu 002; Nong Xiao 001; Huafeng Wu; Jiangling Yin (IEEE Trans. Computers, 2021)

Characterizing and Optimizing Transformer Inference on ARM Many-core Processor. - Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Dongsheng Li; Jiang Zheng; Yutong Lu (ICPP, 2022)

Handling heavy-tailed input of transformer inference on GPUs. - Jiangsu Du; Jiazhi Jiang; Yang You 001; Dan Huang 001; Yutong Lu (ICS, 2022)

Enhancing Distributed In-Situ CNN Inference in the Internet of Things. - Jiangsu Du; Yunfei Du; Dan Huang 001; Yutong Lu; Xiangke Liao (IEEE Internet Things J., 2022)

Identifying challenges and opportunities of in-memory computing on large HPC systems. - Dan Huang 001; Zhenlu Qin; Qing Liu 002; Norbert Podhorszki; Scott Klasky (J. Parallel Distributed Comput., 2022)

Optimizing small channel 3D convolution on GPU with tensor core. - Jiazhi Jiang; Dan Huang 001; Jiangsu Du; Yutong Lu; Xiangke Liao (Parallel Comput., 2022)

Enhancing Multi-physics Coupling on ARM Many-Core Cluster. - Wencheng Shi; Nan Hu; Jiangsu Du; Dan Huang 001; Yutong Lu (APPT, 2023)

Accelerating Inference of 3D-CNN on ARMMany-core CPU via Hierarchical Model Partition. - Jiazhi Jiang; Zijiang Huang; Dan Huang 001; Jiangsu Du; Yutong Lu (DATE, 2023)

MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. - Jiazhi Jiang; Rui Tian; Jiangsu Du; Dan Huang 001; Yutong Lu (ICCD, 2023)

AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts. - Yingpeng Wen; Weijiang Yu; Fudan Zheng; Dan Huang 001; Nong Xiao 001 (CoRR, 2023)

A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. - Huizhang Luo; Junqi Wang 002; Zhenlu Qin; Dan Huang 001; Qing Liu 002; Mengchu Zhou; Hong Jiang 001 (IEEE Trans. Big Data, 2023)

Full-Stack Optimizing Transformer Inference on ARM Many-Core CPU. - Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Zhiguang Chen 001; Yutong Lu; Xiangke Liao (IEEE Trans. Parallel Distributed Syst., 2023)

Optimizing massively parallel sparse matrix computing on ARM many-core processor. - Jiang Zheng; Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Yutong Lu (Parallel Comput., 2023)

Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure. - Jiazhi Jiang; Zijiang Huang; Dan Huang 001; Jiangsu Du; Lin Chen; Ziguang Chen; Yutong Lu (ACM Trans. Archit. Code Optim., 2023)

Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs. - Jiangsu Du; Jiazhi Jiang; Jiang Zheng; Hongbin Zhang 006; Dan Huang 001; Yutong Lu (ACM Trans. Archit. Code Optim., 2023)

Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference. - Yuanxin Wei; Shengyuan Ye; Jiazhi Jiang; Xu Chen 004; Dan Huang 001; Jiangsu Du; Yutong Lu (DATE, 2024)

Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters. - Jiazhi Jiang; Hongbin Zhang 006; Deyin Liu; Jiangsu Du; Xiaojiao Yao; Jinhui Wei; Pin Chen; Dan Huang 001; Yutong Lu (Euro-Par (1), 2024)

Equivariant Diffusion for Crystal Structure Prediction. - Peijia Lin; Pin Chen; Rui Jiao; Qing Mo; Jianhuan Cen; Wenbing Huang 001; Yang Liu 005; Dan Huang 001; Yutong Lu (ICML, 2024)

Understanding the Inference Performance of Spatial Temporal Diffusion Transformer. - Yu Li; Yuanxin Wei; Jiangsu Du; Dan Huang 001; Nong Xiao 001 (NPC (1), 2024)

Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. - Jiangsu Du; Jinhui Wei; Jiazhi Jiang; Shenggan Cheng; Dan Huang 001; Zhiguang Chen 001; Yutong Lu (PPoPP, 2024)

APTMoE: Affinity-Aware Pipeline Tuning for MoE Models on Bandwidth-Constrained GPU Nodes. - Yuanxin Wei; Jiangsu Du; Jiazhi Jiang; Xiao Shi; Xianwei Zhang 001; Dan Huang 001; Nong Xiao 001; Yutong Lu (SC, 2024)

HTDcr: a job execution framework for high-throughput computing on supercomputers. - Jiazhi Jiang; Dan Huang 001; Hu Chen; Yutong Lu; Xiangke Liao (Sci. China Inf. Sci., 2024)

Topo: Towards a fine-grained topological data processing framework on Tianhe-3 supercomputer. - Nan Hu; Yutong Lu; Zhuo Tang; Zhiyong Liu; Dan Huang 001; Zhiguang Chen 001 (J. Parallel Distributed Comput., 2024)

AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts. - Yingpeng Wen; Weijiang Yu; Fudan Zheng; Dan Huang 001; Nong Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. - Jiangsu Du; Dong-Sheng Li; Yingpeng Wen; Jiazhi Jiang; Dan Huang 001; Xiangke Liao; Yutong Lu (J. Comput. Sci. Technol., 2024)

Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method. - Yingpeng Wen; Zhilin Qiu; Dongyu Zhang 002; Dan Huang 001; Nong Xiao 001; Liang Lin (Int. J. Parallel Program., 2024)

Sophisticated Orchestrating Concurrent DLRM Training on CPU/GPU Platform. - Rui Tian; Jiazhi Jiang; Jiangsu Du; Dan Huang 001; Yutong Lu (IEEE Trans. Parallel Distributed Syst., 2024)

GPU acceleration for DNA sequence alignment algorithm and its application. - Heming Zhong; Xiaojian Pan; Zengquang He; Haoling Wang; Dan Huang 001; Zhiguang Chen 001 (CCF Trans. High Perform. Comput., 2025)

Critique of "Productivity, Portability, Performance Data-Centric Python" by SCC Team From Sun Yat-sen University. - Han Huang; Tengyang Zheng; Tianxing Yang; Yang Ye; Siran Liu; Zhe Tang; Shengyou Lu; Guangnan Feng; Zhiguang Chen 001; Dan Huang 001 (IEEE Trans. Parallel Distributed Syst., 2025)

HPC-AI Coupling Methodology for Scientific Applications. - Yutong Lu; Dan Huang 001; Pin Chen (CoRR, 2025)