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Xuechen Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c48]Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti:
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. AAAI 2024: 11866-11873 - [c47]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI 2024: 16890-16898 - [i10]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR abs/2401.14343 (2024) - 2023
- [j21]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): 351 (2023) - [j20]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: 107664 (2023) - [j19]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: 102200 (2023) - [j18]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): 2498-2511 (2023) - [c46]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: 220-232 - [c45]Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti:
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. L4DC 2023: 1-11 - [c44]Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak:
Max-Margin Token Selection in Attention Mechanism. NeurIPS 2023 - [c43]Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Rui Wang, Gang Chen:
Efficient Maximal Biclique Enumeration on GPUs. SC 2023: 16:1-16:13 - [c42]Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen:
Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations. EMS@SIGCOMM 2023: 8-14 - [i9]Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti:
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. CoRR abs/2305.08849 (2023) - [i8]Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak:
Max-Margin Token Selection in Attention Mechanism. CoRR abs/2306.13596 (2023) - [i7]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 abs/2307.04905 (2023) - 2022
- [j17]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: 1-11 (2022) - [j16]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: 1-9 (2022) - [j15]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): 5976-5992 (2022) - [j14]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): 4484-4498 (2022) - [c41]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: 115-127 - [c40]Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang:
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA 2022: 212-219 - [c39]Shuibing He, Matthew Myers, Xuehao Duan, Keegan Sanchez, Xuechen Zhang:
WAFLASH: Taming Unaligned Writes in Solid-State Disks. NAS 2022: 1-8 - [c38]Brandon Lavinsky, Xuechen Zhang:
PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory. SSDBM 2022: 4:1-4:11 - [i6]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR abs/2201.01212 (2022) - 2021
- [c37]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: 271-282 - [c36]Chao Wang, Xiao Liang, Jiamin Ye, Xuechen Zhang:
Evaluation of Coil Location of TMR-based Electromagnetic Tomography Sensor. I2MTC 2021: 1-5 - [c35]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: 1-6 - [c34]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: 304-315 - [c33]Yanyan Li, Hong Zhao, Xuechen Zhang:
Research on Fines of Dangerous Driving Crime Based on Random Forest and Deep Learning. ISCSIC 2021: 242-247 - [c32]Yekang Wu, Xuechen Zhang:
NVSwap: Latency-Aware Paging using Non-Volatile Main Memory. NAS 2021: 1-9 - [c31]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS 2021: 3163-3177 - [i5]Xuechen Zhang, Samet Oymak, Jiasi Chen:
Post-hoc Models for Performance Estimation of Machine Learning Inference. CoRR abs/2110.02459 (2021) - 2020
- [j13]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): 212-225 (2020) - [j12]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: 1450-1464 (2020) - [j11]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): 1255-1269 (2020) - [j10]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): 739-748 (2020) - [c30]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: 2780-2784 - [c29]Tyler Coy, Shuibing He, Bin Ren, Xuechen Zhang:
Compiler aided checkpointing using crash-consistent data structures in NVMM systems. ICS 2020: 41:1-41:13 - [i4]Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao:
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. CoRR abs/2005.08806 (2020)
2010 – 2019
- 2019
- [j9]Xuechen Zhang, Fang Zheng, Bao Nguyen:
DeStager: feature guided in-situ data management in distributed deep memory hierarchies. Distributed Parallel Databases 37(1): 209-231 (2019) - [j8]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): 538-542 (2019) - [j7]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): 3106-3121 (2019) - [j6]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): 677-691 (2019) - [c28]Soklong Lim, Zaixin Lu, Bin Ren, Xuechen Zhang:
Enforcing Crash Consistency of Evolving Network Analytics in Non-Volatile Main Memory Systems. PACT 2019: 124-137 - [c27]Tyler Coy, Xuechen Zhang:
Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems. FTXS@SC 2019: 11-20 - [i3]Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao:
Lightweight Feature Fusion Network for Single Image Super-Resolution. CoRR abs/1902.05694 (2019) - [i2]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 abs/1909.03573 (2019) - 2018
- [j5]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: 369-382 (2018) - [j4]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: 91-105 (2018) - [j3]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): 662-675 (2018) - [c26]Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, Zhao Zhang:
Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks. ICCCN 2018: 1-9 - [c25]Suman Karki, Bao Nguyen, Xuechen Zhang:
QoS Support for Scientific Workflows Using Software-Defined Storage Resource Enclaves. IPDPS 2018: 95-104 - [i1]Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue:
Deep Learning for Single Image Super-Resolution: A Brief Review. CoRR abs/1808.03344 (2018) - 2017
- [c24]Jian Huang, Michael Allen-Bond, Xuechen Zhang:
Pallas: Semantic-Aware Checking for Finding Deep Bugs in Fast Path. ASPLOS 2017: 709-722 - [c23]Xuechen Zhang, Bao Nguyen, Fang Zheng:
Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies. ICPADS 2017: 258-265 - [c22]Bao Nguyen, Hua Tan, Xuechen Zhang:
Large-scale adaptive mesh simulations through non-volatile byte-addressable memory. SC 2017: 27 - 2016
- [c21]Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf:
FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. CLUSTER 2016: 312-315 - [c20]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: 1507-1518 - [c19]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: 1135-1144 - 2015
- [c18]Jian Huang, Xuechen Zhang, Karsten Schwan:
Understanding issue correlations: a case study of the Hadoop system. SoCC 2015: 2-15 - 2014
- [c17]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: 246-255 - [c16]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: 145-154 - [c15]Xuechen Zhang, Jianqiang Ou, Kei Davis, Song Jiang:
Orthrus: A Framework for Implementing Efficient Collective I/O in Multi-core Clusters. ISC 2014: 348-364 - 2013
- [c14]Xuechen Zhang, Jianqiang Ou, Kei Davis, Song Jiang:
Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters. HPDC 2013: 113-114 - [c13]Xuechen Zhang, Ke Liu, Kei Davis, Song Jiang:
iBridge: Improving Unaligned Parallel File Access with Solid-State Drives. IPDPS 2013: 381-392 - [c12]Ke Liu, Xuechen Zhang, Kei Davis, Song Jiang:
Synergistic coupling of SSD and hard disk for QoS-aware virtual memory. ISPASS 2013: 24-33 - [c11]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: 111-120 - 2012
- [c10]Xuechen Zhang, Kei Davis, Song Jiang:
Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services. IPDPS 2012: 330-341 - [c9]Xuechen Zhang, Kei Davis, Song Jiang:
iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O. IPDPS 2012: 715-726 - [c8]Ajay Gulati, Ganesha Shanmuganathan, Xuechen Zhang, Peter J. Varman:
Demand Based Hierarchical QoS Using Storage Resource Pools. USENIX Annual Technical Conference 2012: 1-13 - 2011
- [j2]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): 9:1-9:18 (2011) - [c7]Xuechen Zhang, Yuehai Xu, Song Jiang:
YouChoose: A performance interface enabling convenient and efficient QoS support for consolidated storage systems. MSST 2011: 1-12 - [c6]Xuechen Zhang, Kei Davis, Song Jiang:
QoS support for end users of I/O-intensive applications using shared storage systems. SC 2011: 18:1-18:12 - 2010
- [j1]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): 1508-1519 (2010) - [c5]Xuechen Zhang, Song Jiang:
InterferenceRemoval: removing interference of disk access for MPI programs through data replication. ICS 2010: 223-232 - [c4]Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen:
Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. NPC 2010: 121-133 - [c3]Xuechen Zhang, Guiquan Liu, Song Jiang:
Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. NPC 2010: 373-389 - [c2]Xuechen Zhang, Kei Davis, Song Jiang:
IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination. SC 2010: 1-11
2000 – 2009
- 2009
- [c1]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: 1-12
Coauthor Index
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last updated on 2024-04-03 22:43 CEST by the dblp team
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