Xuechen Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 58

Top Topics

Scientific Data Analysis

Top Venues

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Instrum. Meas.

Publications

Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR (2024)
Xuechen Zhang, Zhengmin Wu, Chengmao Cao, Kun Luo, Kuan Qin, Yangyang Huang, Jie Cao
Design and operation of a deep-learning-based fresh tea-leaf sorting robot. Comput. Electron. Agric. 206 (2023)
Chen Zhou, Shuaijian Dai, Shengzhi Lai, Yuanqiao Lin, Xuechen Zhang, Ning Li, Weichuan Yu
ECL 3.0: a sensitive peptide identification tool for cross-linking mass spectrometry data analysis. BMC Bioinform. 24 (1) (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Max-Margin Token Selection in Attention Mechanism. CoRR (2023)
Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR (2023)
Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen
iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. HPCA (2023)
Xuechen Zhang, Isaac Cheng, Shaojun Liu, Chenrui Li, Jing-Hao Xue, Lai-Shan Tam, Weichuan Yu
Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images. Comput. Medical Imaging Graph. 106 (2023)
Siling Yang, Shuibing He, Hexiao Duan, Weijian Chen, Xuechen Zhang, Tong Wu, Yanlong Yin
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators. IEEE Trans. Parallel Distributed Syst. 34 (9) (2023)
Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen
Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations. EMS@SIGCOMM (2023)
Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Rui Wang, Gang Chen
Efficient Maximal Biclique Enumeration on GPUs. SC (2023)
Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. CoRR (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Max-Margin Token Selection in Attention Mechanism. NeurIPS (2023)
Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. L4DC (2023)
Chao Wang, Tao Liu, Lin Jia, Xuechen Zhang, Jiamin Ye
A Method for Calculating Characteristic Value to Characterize the Induced Charge in Electrostatic Tomography. IEEE Trans. Instrum. Meas. 71 (2022)
Youcheng Zhang, Zongqing Lu, Xuechen Zhang, Jing-Hao Xue, Qingmin Liao
Deep Learning in Lane Marking Detection: A Survey. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Shuibing He, Matthew Myers, Xuehao Duan, Keegan Sanchez, Xuechen Zhang
WAFLASH: Taming Unaligned Writes in Solid-State Disks. NAS (2022)
Brandon Lavinsky, Xuechen Zhang
PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory. SSDBM (2022)
Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA (2022)
Chao Wang, Xuechen Zhang, Hongjun Sun, Xiao Liang, Lin Jia, Jiamin Ye
Image Reconstruction for Electrostatic Tomography With One-Dimensional Prior Knowledge Based Residual Network. IEEE Trans. Instrum. Meas. 71 (2022)
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR (2022)
Ping Chen, Shuibing He, Xuechen Zhang, Shuaiben Chen, Peiyi Hong, Yanlong Yin, Xian-He Sun
Accelerating Tensor Swapping in GPUs With Self-Tuning Compression. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Zheng Dang, Shuibing He, Peiyi Hong, Zhenxin Li, Xuechen Zhang, Xian-He Sun, Gang Chen
NVAlloc: rethinking heap metadata management in persistent memory allocators. ASPLOS (2022)
Ping Chen, Shuibing He, Xuechen Zhang, Shuaiben Chen, Peiyi Hong, Yanlong Yin, Xian-He Sun, Gang Chen
CSWAP: A Self-Tuning Compression Framework for Accelerating Tensor Swapping in GPUs. CLUSTER (2021)
Yanyan Li, Hong Zhao, Xuechen Zhang
Research on Fines of Dangerous Driving Crime Based on Random Forest and Deep Learning. ISCSIC (2021)
Chao Wang, Xuechen Zhang, Hongjun Sun, Xiao Liang, Jiamin Ye
Image Reconstruction for Electrostatic Tomography Based on Residual Network Considering the Prior Knowledge of Boundary Measurement. I2MTC (2021)
Yekang Wu, Xuechen Zhang
NVSwap: Latency-Aware Paging using Non-Volatile Main Memory. NAS (2021)
Xuechen Zhang, Samet Oymak, Jiasi Chen
Post-hoc Models for Performance Estimation of Machine Learning Inference. CoRR (2021)
Siling Yang, Weijian Chen, Xuechen Zhang, Shuibing He, Yanlong Yin, Xian-He Sun
AUTO-PRUNE: automated DNN pruning and mapping for ReRAM-based accelerator. ICS (2021)
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS (2021)
Chao Wang, Xiao Liang, Jiamin Ye, Xuechen Zhang
Evaluation of Coil Location of TMR-based Electromagnetic Tomography Sensor. I2MTC (2021)
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution. IEEE Trans. Image Process. 29 (2020)
Soklong Lim, Tyler Coy, Zaixin Lu, Bin Ren, Xuechen Zhang
NVGraph: Enforcing Crash Consistency of Evolving Network Analytics in NVMM Systems. IEEE Trans. Parallel Distributed Syst. 31 (6) (2020)
Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. ICIP (2020)
Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. CoRR (2020)
Tyler Coy, Shuibing He, Bin Ren, Xuechen Zhang
Compiler aided checkpointing using crash-consistent data structures in NVMM systems. ICS (2020)
Shuibing He, Yanlong Yin, Xian-He Sun, Xuechen Zhang, Zongpeng Li
Optimizing Parallel I/O Accesses through Pattern-Directed and Layout-Aware Replication. IEEE Trans. Computers 69 (2) (2020)
Ian Kosen, Can Huang, Zhi Chen, Xuechen Zhang, Liang Min, Dao Zhou, Lin Zhu, Yilu Liu
UPS: Unified PMU-Data Storage System to Enhance T+D PMU Data Usability. IEEE Trans. Smart Grid 11 (1) (2020)
Xuechen Zhang, Fang Zheng, Bao Nguyen
DeStager: feature guided in-situ data management in distributed deep memory hierarchies. Distributed Parallel Databases 37 (1) (2019)
Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao
Lightweight Feature Fusion Network for Single Image Super-Resolution. CoRR (2019)
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution. CoRR (2019)
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
Deep Learning for Single Image Super-Resolution: A Brief Review. IEEE Trans. Multim. 21 (12) (2019)
Bao Nguyen, Hua Tan, Kei Davis, Xuechen Zhang
Persistent Octrees for Parallel Mesh Refinement through Non-Volatile Byte-Addressable Memory. IEEE Trans. Parallel Distributed Syst. 30 (3) (2019)
Soklong Lim, Zaixin Lu, Bin Ren, Xuechen Zhang
Enforcing Crash Consistency of Evolving Network Analytics in Non-Volatile Main Memory Systems. PACT (2019)
Tyler Coy, Xuechen Zhang
Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems. FTXS@SC (2019)
Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao
Lightweight Feature Fusion Network for Single Image Super-Resolution. IEEE Signal Process. Lett. 26 (4) (2019)
Suman Karki, Bao Nguyen, Xuechen Zhang
QoS Support for Scientific Workflows Using Software-Defined Storage Resource Enclaves. IPDPS (2018)
Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin
Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system. J. Parallel Distributed Comput. 120 (2018)
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue
Deep Learning for Single Image Super-Resolution: A Brief Review. CoRR (2018)
Suman Karki, Bao Nguyen, Joshua Feener, Kei Davis, Xuechen Zhang
Enforcing End-to-End I/O Policies for Scientific Workflows Using Software-Defined Storage Resource Enclaves. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, Zhao Zhang
Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks. ICCCN (2018)
Xuechen Zhang, Song Jiang, Alseny Diallo, Lei Wang
IR+: Removing parallel I/O interference of MPI programs via data replication over heterogeneous storage devices. Parallel Comput. 76 (2018)
Xuechen Zhang, Bao Nguyen, Fang Zheng
Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies. ICPADS (2017)
Jian Huang, Michael Allen-Bond, Xuechen Zhang
Pallas: Semantic-Aware Checking for Finding Deep Bugs in Fast Path. ASPLOS (2017)
Bao Nguyen, Hua Tan, Xuechen Zhang
Large-scale adaptive mesh simulations through non-volatile byte-addressable memory. SC (2017)
Xuechen Zhang, Hasan Abbasi, Kevin A. Huck, Allen D. Malony
WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows. ICCS (2016)
Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf
FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. CLUSTER (2016)
Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, Stephen P. Ficklin
Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. ICPADS (2016)
Jian Huang, Xuechen Zhang, Karsten Schwan
Understanding issue correlations: a case study of the Hadoop system. SoCC (2015)
Xuechen Zhang, Jianqiang Ou, Kei Davis, Song Jiang
Orthrus: A Framework for Implementing Efficient Collective I/O in Multi-core Clusters. ISC (2014)
Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stéphane Ethier, Scott Klasky
Scibox: Online Sharing of Scientific Data via the Cloud. IPDPS (2014)
Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. CCGRID (2014)
Xuechen Zhang, Ke Liu, Kei Davis, Song Jiang
iBridge: Improving Unaligned Parallel File Access with Solid-State Drives. IPDPS (2013)
Dachuan Huang, Xuechen Zhang, Wei Shi, Mai Zheng, Song Jiang, Feng Qin
LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout. MASCOTS (2013)
Xuechen Zhang, Jianqiang Ou, Kei Davis, Song Jiang
Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters. HPDC (2013)
Ke Liu, Xuechen Zhang, Kei Davis, Song Jiang
Synergistic coupling of SSD and hard disk for QoS-aware virtual memory. ISPASS (2013)
Ajay Gulati, Ganesha Shanmuganathan, Xuechen Zhang, Peter J. Varman
Demand Based Hierarchical QoS Using Storage Resource Pools. USENIX Annual Technical Conference (2012)
Xuechen Zhang, Kei Davis, Song Jiang
iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O. IPDPS (2012)
Xuechen Zhang, Kei Davis, Song Jiang
Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services. IPDPS (2012)
Xuechen Zhang, Yuehai Xu, Song Jiang
YouChoose: Choosing your Storage Device as a Performance Interface to Consolidated I/O Service. ACM Trans. Storage 7 (3) (2011)
Xuechen Zhang, Yuehai Xu, Song Jiang
YouChoose: A performance interface enabling convenient and efficient QoS support for consolidated storage systems. MSST (2011)
Xuechen Zhang, Kei Davis, Song Jiang
QoS support for end users of I/O-intensive applications using shared storage systems. SC (2011)
Xuechen Zhang, Guiquan Liu, Song Jiang
Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. NPC (2010)
Song Jiang, Xuechen Zhang, Shuang Liang, Kei Davis
Improving Networked File System Performance Using a Locality-Aware Cooperative Cache Protocol. IEEE Trans. Computers 59 (11) (2010)
Xuechen Zhang, Song Jiang
: removing interference of disk access for MPI programs through data replication. ICS (2010)
Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen
Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. NPC (2010)
Xuechen Zhang, Kei Davis, Song Jiang
IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination. SC (2010)
Xuechen Zhang, Song Jiang, Kei Davis
Making resonance a common case: A high-performance implementation of collective I/O on parallel file systems. IPDPS (2009)