Making resonance a common case: A high-performance implementation of collective I/O on parallel file systems. - Xuechen Zhang 001; Song Jiang 001; Kei Davis (IPDPS, 2009)

InterferenceRemoval: removing interference of disk access for MPI programs through data replication. - Xuechen Zhang 001; Song Jiang 001 (ICS, 2010)

Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. - Xuechen Zhang 001; Guiquan Liu; Song Jiang 001 (NPC, 2010)

Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. - Lei Zhang 060; Guiquan Liu; Xuechen Zhang 001; Song Jiang 001; Enhong Chen (NPC, 2010)

IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination. - Xuechen Zhang 001; Kei Davis; Song Jiang 001 (SC, 2010)

Improving Networked File System Performance Using a Locality-Aware Cooperative Cache Protocol. - Song Jiang 001; Xuechen Zhang 001; Shuang Liang; Kei Davis (IEEE Trans. Computers, 2010)

YouChoose: A performance interface enabling convenient and efficient QoS support for consolidated storage systems. - Xuechen Zhang 001; Yuehai Xu; Song Jiang 001 (MSST, 2011)

QoS support for end users of I/O-intensive applications using shared storage systems. - Xuechen Zhang 001; Kei Davis; Song Jiang 001 (SC, 2011)

YouChoose: Choosing your Storage Device as a Performance Interface to Consolidated I/O Service. - Xuechen Zhang 001; Yuehai Xu; Song Jiang 001 (ACM Trans. Storage, 2011)

Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services. - Xuechen Zhang 001; Kei Davis; Song Jiang 001 (IPDPS, 2012)

iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O. - Xuechen Zhang 001; Kei Davis; Song Jiang 001 (IPDPS, 2012)

Demand Based Hierarchical QoS Using Storage Resource Pools. - Ajay Gulati; Ganesha Shanmuganathan; Xuechen Zhang 001; Peter J. Varman (USENIX ATC, 2012)

Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters. - Xuechen Zhang 001; Jianqiang Ou; Kei Davis; Song Jiang 001 (HPDC, 2013)

iBridge: Improving Unaligned Parallel File Access with Solid-State Drives. - Xuechen Zhang 001; Ke Liu; Kei Davis; Song Jiang 001 (IPDPS, 2013)

Synergistic coupling of SSD and hard disk for QoS-aware virtual memory. - Ke Liu; Xuechen Zhang 001; Kei Davis; Song Jiang 001 (ISPASS, 2013)

LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout. - Dachuan Huang; Xuechen Zhang 001; Wei Shi 001; Mai Zheng; Song Jiang 001; Feng Qin (MASCOTS, 2013)

Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. - Jai Dayal; Drew Bratcher; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Xuechen Zhang 001; Hasan Abbasi; Scott Klasky; Norbert Podhorszki (CCGRID, 2014)

Scibox: Online Sharing of Scientific Data via the Cloud. - Jian Huang 006; Xuechen Zhang 001; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Stéphane Ethier; Scott Klasky (IPDPS, 2014)

Orthrus: A Framework for Implementing Efficient Collective I/O in Multi-core Clusters. - Xuechen Zhang 001; Jianqiang Ou; Kei Davis; Song Jiang 001 (ISC, 2014)

Understanding issue correlations: a case study of the Hadoop system. - Jian Huang 006; Xuechen Zhang 001; Karsten Schwan (SoCC, 2015)

FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. - Xuechen Zhang 001; Fang Zheng 003; Karsten Schwan; Matthew Wolf (CLUSTER, 2016)

WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows. - Xuechen Zhang 001; Hasan Abbasi; Kevin A. Huck; Allen D. Malony (ICCS, 2016)

Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. - Xuechen Zhang 001; Ujjwal Khanal; Xinghui Zhao; Stephen P. Ficklin (ICPADS, 2016)

Pallas: Semantic-Aware Checking for Finding Deep Bugs in Fast Path. - Jian Huang 006; Michael Allen-Bond; Xuechen Zhang 001 (ASPLOS, 2017)

Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies. - Xuechen Zhang 001; Bao Nguyen; Fang Zheng 003 (ICPADS, 2017)

Large-scale adaptive mesh simulations through non-volatile byte-addressable memory. - Bao Nguyen; Hua Tan; Xuechen Zhang 001 (SC, 2017)

Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks. - Soklong Lim; Jun Hao; Zaixin Lu; Xuechen Zhang 001; Zhao Zhang 002 (ICCCN, 2018)

QoS Support for Scientific Workflows Using Software-Defined Storage Resource Enclaves. - Suman Karki; Bao Nguyen; Xuechen Zhang 001 (IPDPS, 2018)

Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system. - Xuechen Zhang 001; Ujjwal Khanal; Xinghui Zhao; Stephen P. Ficklin (J. Parallel Distributed Comput., 2018)

IR+: Removing parallel I/O interference of MPI programs via data replication over heterogeneous storage devices. - Xuechen Zhang 001; Song Jiang 001; Alseny Diallo; Lei Wang 126 (Parallel Comput., 2018)

Enforcing End-to-End I/O Policies for Scientific Workflows Using Software-Defined Storage Resource Enclaves. - Suman Karki; Bao Nguyen; Joshua Feener; Kei Davis; Xuechen Zhang 001 (IEEE Trans. Multi Scale Comput. Syst., 2018)

Enforcing Crash Consistency of Evolving Network Analytics in Non-Volatile Main Memory Systems. - Soklong Lim; Zaixin Lu; Bin Ren; Xuechen Zhang 001 (PACT, 2019)

Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems. - Tyler Coy; Xuechen Zhang 001 (FTXS@SC, 2019)

DeStager: feature guided in-situ data management in distributed deep memory hierarchies. - Xuechen Zhang 001; Fang Zheng 003; Bao Nguyen (Distributed Parallel Databases, 2019)

Persistent Octrees for Parallel Mesh Refinement through Non-Volatile Byte-Addressable Memory. - Bao Nguyen; Hua Tan; Kei Davis; Xuechen Zhang 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Compiler aided checkpointing using crash-consistent data structures in NVMM systems. - Tyler Coy; Shuibing He; Bin Ren; Xuechen Zhang 001 (ICS, 2020)

Optimizing Parallel I/O Accesses through Pattern-Directed and Layout-Aware Replication. - Shuibing He; Yanlong Yin; Xian-He Sun; Xuechen Zhang 001; Zongpeng Li (IEEE Trans. Computers, 2020)

NVGraph: Enforcing Crash Consistency of Evolving Network Analytics in NVMM Systems. - Soklong Lim; Tyler Coy; Zaixin Lu; Bin Ren; Xuechen Zhang 001 (IEEE Trans. Parallel Distributed Syst., 2020)

UPS: Unified PMU-Data Storage System to Enhance T+D PMU Data Usability. - Ian Kosen; Can Huang; Zhi Chen; Xuechen Zhang 001; Liang Min; Dao Zhou; Lin Zhu; Yilu Liu 001 (IEEE Trans. Smart Grid, 2020)

CSWAP: A Self-Tuning Compression Framework for Accelerating Tensor Swapping in GPUs. - Ping Chen; Shuibing He; Xuechen Zhang 001; Shuaiben Chen; Peiyi Hong; Yanlong Yin; Xian-He Sun; Gang Chen 001 (CLUSTER, 2021)

AUTO-PRUNE: automated DNN pruning and mapping for ReRAM-based accelerator. - Siling Yang; Weijian Chen 002; Xuechen Zhang 001; Shuibing He; Yanlong Yin; Xian-He Sun (ICS, 2021)

NVSwap: Latency-Aware Paging using Non-Volatile Main Memory. - Yekang Wu; Xuechen Zhang 001 (NAS, 2021)

NVAlloc: rethinking heap metadata management in persistent memory allocators. - Zheng Dang; Shuibing He; Peiyi Hong; Zhenxin Li; Xuechen Zhang 001; Xian-He Sun; Gang Chen 001 (ASPLOS, 2022)

BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. - Brian Koga; Theresa VanderWeide; Xinghui Zhao; Xuechen Zhang 001 (ICMLA, 2022)

WAFLASH: Taming Unaligned Writes in Solid-State Disks. - Shuibing He; Matthew Myers; Xuehao Duan; Keegan Sanchez; Xuechen Zhang 001 (NAS, 2022)

PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory. - Brandon Lavinsky; Xuechen Zhang 001 (SSDBM, 2022)

Accelerating Tensor Swapping in GPUs With Self-Tuning Compression. - Ping Chen; Shuibing He; Xuechen Zhang 001; Shuaiben Chen; Peiyi Hong; Yanlong Yin; Xian-He Sun (IEEE Trans. Parallel Distributed Syst., 2022)

iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. - Weijian Chen 002; Shuibing He; Yaowen Xu; Xuechen Zhang 001; Siling Yang; Shuang Hu; Xian-He Sun; Gang Chen 001 (HPCA, 2023)

Efficient Maximal Biclique Enumeration on GPUs. - Zhe Pan; Shuibing He; Xu Li 026; Xuechen Zhang 001; Rui Wang 076; Gang Chen 001 (SC, 2023)

APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators. - Siling Yang; Shuibing He; Hexiao Duan; Weijian Chen 002; Xuechen Zhang 001; Tong Wu; Yanlong Yin (IEEE Trans. Parallel Distributed Syst., 2023)

A Study of Data-Path Bugs in PyTorch with a Focus on Memory Issues. - Rubayet Rahman Rongon; Chen Cao; Xuechen Zhang 001 (IEEE Big Data, 2024)

Hardware Generation on Trigonometric Functions. - Paul Wong; Dania Susanne Mosuli; Xuechen Zhang 001; Xiaokun Yang (IEEE Big Data, 2024)

A Study of PyTorch Bug Patterns and Memory-Related Challenges. - Brian Yu; Rubayet Rahman Rongon; Chen Cao; Xuechen Zhang 001 (IEEE Big Data, 2024)

A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. - Keegan Sanchez; Alex Gavin; Suren Byna; Kesheng Wu; Xuechen Zhang 001 (Euro-Par (2), 2024)

CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. - Zhenxin Li; Shuibing He; Zheng Dang; Peiyi Hong; Xuechen Zhang 001; Rui Wang 076; Fei Wu 001 (EuroSys, 2024)

AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. - Tong Wu; Shuibing He; Jianxin Zhu; Weijian Chen 002; Siling Yang; Ping Chen; Yanlong Yin; Xuechen Zhang 001; Xian-He Sun; Gang Chen 001 (ICPP, 2024)

Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. - Zhe Pan; Shuibing He; Xu Li 026; Xuechen Zhang 001; Yanlong Yin; Rui Wang 076; Lidan Shou; Mingli Song; Xian-He Sun; Gang Chen 001 (SC, 2024)

HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration. - Weijian Chen 002; Shuibing He; Haoyang Qu; Xuechen Zhang 001 (CoRR, 2024)

PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation. - Zheng Dang; Shuibing He; Xuechen Zhang 001; Peiyi Hong; Zhenxin Li; Xinyu Chen; Haozhe Song; Xian-He Sun; Gang Chen 001 (ACM Trans. Comput. Syst., 2024)

AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing. - Zhe Pan; Xu Li 026; Shuibing He; Xuechen Zhang 001; Rui Wang 076; Yunjun Gao; Gang Chen 001; Xian-He Sun (IEEE Trans. Computers, 2024)

iAug: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training. - Rubayet Rahman Rongon; Xuechen Zhang 001 (Euro-Par (2), 2025)

LeapGNN: Accelerating Distributed GNN Training Leveraging Feature-Centric Model Migration. - Weijian Chen 002; Shuibing He; Haoyang Qu; Xuechen Zhang 001 (FAST, 2025)

GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerators. - Siling Yang; Shuibing He; Wenjiong Wang; Yanlong Yin; Tong Wu; Weijian Chen 002; Xuechen Zhang 001; Xian-He Sun; Dan Feng (HPCA, 2025)

ImPACT: Importance-Informed Prefetching and Caching for I/O-Bound DNN Training. - Weijian Chen 002; Shuibing He; Ruidong Zhang; Xuechen Zhang 001; Ping Chen; Siling Yang; Haoyang Qu; Xuan Zhan (IEEE Trans. Computers, 2025)

Advanced Maximal Biclique Enumeration on GPUs Using Bitmaps. - Zhe Pan; Shuibing He; Xu Li 026; Xuechen Zhang 001; Rui Wang 076; Yanlong Yin; Gang Chen 001 (IEEE Trans. Computers, 2025)