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Jinyang Liu
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Books and Theses
- 2024
- [b1]Jinyang Liu:
Task-Adaptive Scientific Error-Bounded Lossy Compression. University of California, Riverside, USA, 2024
Journal Articles
- 2024
- [j16]Weijie Zhao, Zihang Chen, Puguang Xie, Jinyang Liu, Siyu Hou, Liang Xu, Yuan Qiu, Dongdong Wu, Jingjing Xiao, Kunlun He:
Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data. Inf. Fusion 105: 102207 (2024) - [j15]Jinyang Liu, Shutao Li, Renwei Dian, Ze Song:
DT-F Transformer: Dual transpose fusion transformer for polarization image fusion. Inf. Fusion 106: 102274 (2024) - [j14]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data 2(1): 4:1-4:27 (2024) - [j13]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1(FSE): 137-160 (2024) - [j12]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. Proc. ACM Softw. Eng. 1(FSE): 609-630 (2024) - [j11]Lishan Tan, Renwei Dian, Shutao Li, Jinyang Liu:
Frequency-Spatial Domain Feature Fusion for Spectral Super-Resolution. IEEE Trans. Computational Imaging 10: 589-599 (2024) - [j10]Jinyang Liu, Shutao Li, Renwei Dian, Ze Song, Xudong Kang:
MDENet: Multidomain Differential Excavating Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j9]Jinyang Liu, Shutao Li, Renwei Dian, Ze Song:
Focus Relationship Perception for Unsupervised Multi-Focus Image Fusion. IEEE Trans. Multim. 26: 6155-6165 (2024) - 2023
- [j8]Jinyang Liu, Renwei Dian, Shutao Li, Haibo Liu:
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion. Inf. Fusion 91: 205-214 (2023) - [j7]Ze Song, Xiaohui Wei, Xudong Kang, Shutao Li, Jinyang Liu:
Toward Efficient Remote Sensing Image Change Detection via Cross-Temporal Context Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j6]Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen:
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. IEEE Trans. Parallel Distributed Syst. 34(12): 3207-3223 (2023) - 2022
- [j5]Kaimei Huang, Binghu Lin, Jinyang Liu, Yankun Liu, Jingwu Li, Geng Tian, Jialiang Yang:
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning. Bioinform. 38(22): 5108-5115 (2022) - [j4]Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56(1): 1-7 (2022) - [j3]Jinyang Liu, Chuantao Yin, Kunyang Wang, Minghui Guan, Xi Wang, Hong Zhou:
Students' Course Results Prediction Based on Data Processing and Machine Learning Methods. J. Signal Process. Syst. 94(11): 1199-1211 (2022) - 2021
- [j2]Shengqian Han, Fei Xue, Chenyang Yang, Jinyang Liu, Fengxu Lin:
Data-Supported Caching Policy Optimization for Wireless D2D Caching Networks. IEEE Trans. Commun. 69(11): 7618-7630 (2021) - 2015
- [j1]Zhiwu Xie, Herbert Van de Sompel, Jinyang Liu, Johann van Reenen, Ramiro Jordan:
Web Archiving Inconsistency: A Research Agenda. Bull. IEEE Tech. Comm. Digit. Libr. 11(2) (2015)
Conference and Workshop Papers
- 2024
- [c51]Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo:
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. ICDE 2024: 4979-4992 - [c50]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448 - [c49]Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu:
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. ICSE-SEIP 2024: 369-380 - [c48]Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP 2024: 392-404 - [c47]Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello:
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS 2024: 417-429 - [c46]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS 2024: 752-764 - [c45]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - 2023
- [c44]Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen:
KF K-means: A High Performance K-means Implementation using Kernel Fusion. IEEE Big Data 2023: 121-127 - [c43]Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. IEEE Big Data 2023: 229-236 - [c42]Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello:
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. IEEE Big Data 2023: 4233-4239 - [c41]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49 - [c40]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. CLUSTER 2023: 354-364 - [c39]Qingbi Zheng, Guangyu Li, Yitong Liu, Yuehong Gao, Kuo Cui, Jinyang Liu:
A Multi-Dimensional Resource Cooperative Allocation Scheme Based on Wireless Digital Twin Network. GLOBECOM (Workshops) 2023: 2018-2024 - [c38]Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello:
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC 2023: 117-126 - [c37]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142 - [c36]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. HPDC 2023: 333-334 - [c35]Yunju Leng, Kuo Cui, Jinyang Liu, Yitong Liu, Yuehong Gao, Qixing Wang, Hongwen Yang:
Energy-efficient Resource Allocation for the 6G Computing Network Based on Deep Reinforcement Learning. ICC Workshops 2023: 631-636 - [c34]Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. ICDM (Workshops) 2023: 1213-1220 - [c33]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS 2023: 1-13 - [c32]Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen:
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. ICS 2023: 360-372 - [c31]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c30]Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu:
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. ISSRE 2023: 36-45 - [c29]Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. ISSRE 2023: 355-366 - [c28]Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu:
EvLog: Identifying Anomalous Logs over Software Evolution. ISSRE 2023: 391-402 - [c27]Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE 2023: 268-280 - [c26]Liming Wang, Jiaxing Fan, Fengzhe Zhong, Yan Liu, Jinyang Liu:
Anomaly Detection in Dynamic Networks through Edge-Tight Structure Embedding. TrustCom 2023: 644-651 - 2022
- [c25]Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c24]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. ICSE 2022: 61-72 - [c23]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC 2022: 62:1-62:15 - [c22]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. SIGIR 2022: 2912-2923 - 2021
- [c21]Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello:
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData 2021: 2986-2991 - [c20]Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He:
Open Benchmarking for Click-Through Rate Prediction. CIKM 2021: 2759-2769 - [c19]Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-based Error-bounded Compression for Scientific Data. CLUSTER 2021: 294-306 - [c18]Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen:
FT-BLAS: a high performance BLAS implementation with online fault tolerance. ICS 2021: 127-138 - [c17]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. ASE 2021: 430-442 - [c16]Jinyang Liu, Chuantao Yin, Xiaoyan Zhang, Kunyang Wang, Hong Zhou:
A hierarchical RNN-based model for learning recommendation with session intent detection. SEKE 2021: 451-457 - 2020
- [c15]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CIKM 2020: 2941-2958 - 2019
- [c14]Jinyang Liu, Ye Qiu, Zhiyi Ma, Zhonghai Wu:
Autoencoder based API Recommendation System for Android Programming. ICCSE 2019: 273-277 - [c13]Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and benchmarks for automated log parsing. ICSE (SEIP) 2019: 121-130 - [c12]Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu:
Deep Learning Based Code Completion Models for Programming Codes. ISCSIC 2019: 16:1-16:9 - [c11]Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. ASE 2019: 863-873 - 2018
- [c10]Zhiyi Ma, Jinyang Liu, Xiao He:
An Approach to Modeling Microservice Solutions. ICISA 2018: 533-542 - [c9]Zhiyi Ma, Huihong He, Jinyang Liu, Xiao He:
Analysis of the Evolution of the UML Metamodel. MODELSWARD 2018: 356-363 - 2014
- [c8]Jinyang Liu, Chuanlei Zhang, Shanwen Zhang, Weidong Fang:
An efficient and accurate optimization method of sliding window size for PAA. ComComAP 2014: 283-286 - [c7]Jiaming Jiang, Jinyang Liu, Lingfeng Wei, Lei Lei, Jing Du, Jin Liu:
Virtual Power Meter Supported Power Consumption Prediction of Web Services. IIKI 2014: 188-193 - 2013
- [c6]Zhiwu Xie, Herbert Van de Sompel, Jinyang Liu, Johann van Reenen, Ramiro Jordan:
Archiving the relaxed consistency web. CIKM 2013: 2119-2128 - 2012
- [c5]Zhiwu Xie, Jinyang Liu, Herbert Van de Sompel, Johann van Reenen, Ramiro Jordan:
Poor Man's Social Network: Consistently Trade Freshness for Scalability. WebApps 2012: 51-62 - 2011
- [c4]Zhiwu Xie, Jinyang Liu, Herbert Van de Sompel, Johann van Reenen, Ramiro Jordan:
Improving scalability by self-archiving. JCDL 2011: 415-416 - 2006
- [c3]Jinyang Liu:
Optimal Regulator Design for Single Input and Single Output Systems. CDC 2006: 876-880 - 2005
- [c2]Jinyang Liu, Dmitri A. Sergatskov, Robert V. Duncan:
Adaptive optimal PI controller for high-precision low-temperature experiments. ACC 2005: 4220-4224 - 1999
- [c1]Zhiwu Xie, Jun Yu, Jinyang Liu:
Applying UML to Gas Turbine Engine Simulation. TOOLS (31) 1999: 458-464
Informal and Other Publications
- 2024
- [i40]Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu:
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR abs/2401.06175 (2024) - [i39]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. CoRR abs/2402.12958 (2024) - [i38]Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. CoRR abs/2402.17583 (2024) - [i37]Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu:
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. CoRR abs/2403.06485 (2024) - [i36]Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang:
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. CoRR abs/2403.14608 (2024) - [i35]Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - [i34]Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire, Mario Sznaier, Octavia I. Camps:
Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. CoRR abs/2404.07292 (2024) - [i33]Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello:
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. CoRR abs/2405.02520 (2024) - [i32]Haolin Li, Jinyang Liu, Mario Sznaier, Octavia I. Camps:
3D-HGS: 3D Half-Gaussian Splatting. CoRR abs/2406.02720 (2024) - [i31]Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello:
FT K-means: A High-Performance K-means on GPU with Fault Tolerance. CoRR abs/2408.01391 (2024) - 2023
- [i30]Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy:
Geometry of Score Based Generative Models. CoRR abs/2302.04411 (2023) - [i29]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023) - [i28]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR abs/2304.03890 (2023) - [i27]Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen:
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. CoRR abs/2305.01024 (2023) - [i26]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. CoRR abs/2305.10612 (2023) - [i25]Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu:
EvLog: Evolving Log Analyzer for Anomalous Logs Identification. CoRR abs/2306.01509 (2023) - [i24]Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu:
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. CoRR abs/2306.05032 (2023) - [i23]Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu:
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. CoRR abs/2307.10869 (2023) - [i22]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023) - [i21]Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. CoRR abs/2308.07638 (2023) - [i20]Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu:
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. CoRR abs/2308.09937 (2023) - [i19]Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-scale Benchmark for Log Parsing. CoRR abs/2308.10828 (2023) - [i18]Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR abs/2309.04037 (2023) - [i17]Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. CoRR abs/2310.00677 (2023) - [i16]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LLMParser: A LLM-based Log Parsing Framework. CoRR abs/2310.01796 (2023) - [i15]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR abs/2310.14133 (2023) - [i14]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR abs/2311.12133 (2023) - [i13]Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2312.05492 (2023) - 2022
- [i12]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. CoRR abs/2201.02944 (2022) - [i11]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. CoRR abs/2205.09626 (2022) - 2021
- [i10]Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen:
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance. CoRR abs/2104.00897 (2021) - [i9]Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. CoRR abs/2105.11730 (2021) - [i8]Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu:
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR abs/2107.05908 (2021) - [i7]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. CoRR abs/2108.12179 (2021) - 2020
- [i6]Jinyang Liu, Yujia Zhai, Zizhong Chen:
Normalization of Input-output Shared Embeddings in Text Generation Models. CoRR abs/2001.07885 (2020) - [i5]Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He:
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. CoRR abs/2009.05794 (2020) - [i4]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CoRR abs/2011.04106 (2020) - 2019
- [i3]Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR abs/1910.00409 (2019) - 2018
- [i2]Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and Benchmarks for Automated Log Parsing. CoRR abs/1811.03509 (2018) - 2013
- [i1]Zhiwu Xie, Herbert Van de Sompel, Jinyang Liu, Johann van Reenen, Ramiro Jordan:
Archiving the Relaxed Consistency Web. CoRR abs/1308.2433 (2013)
Coauthor Index
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