Jinyang Liu

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 96

Top Venues

Publications

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) (2024)
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)
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) (2024)
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 (2024)
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)
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 (2024)
Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR (2024)
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)
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)
Haolin Li, Jinyang Liu, Mario Sznaier, Octavia I. Camps
3D-HGS: 3D Half-Gaussian Splatting. CoRR (2024)
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)
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. CoRR (2024)
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 (2024)
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 (2024)
Jinyang Liu, Shutao Li, Renwei Dian, Ze Song
DT-F Transformer: Dual transpose fusion transformer for polarization image fusion. Inf. Fusion 106 (2024)
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) (2024)
Lishan Tan, Renwei Dian, Shutao Li, Jinyang Liu
Frequency-Spatial Domain Feature Fusion for Spectral Super-Resolution. IEEE Trans. Computational Imaging 10 (2024)
Jinyang Liu, Shutao Li, Renwei Dian, Ze Song
Focus Relationship Perception for Unsupervised Multi-Focus Image Fusion. IEEE Trans. Multim. 26 (2024)
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)
Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire, Mario Sznaier, Octavia I. Camps
Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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)
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)
Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu
EvLog: Identifying Anomalous Logs over Software Evolution. ISSRE (2023)
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)
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 (2023)
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 (2023)
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 (2023)
Jinyang Liu, Renwei Dian, Shutao Li, Haibo Liu
SGFusion: A saliency guided deep-learning framework for pixel-level image fusion. Inf. Fusion 91 (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
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 (2023)
Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. ICDM (Workshops) (2023)
Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
Geometry of Score Based Generative Models. CoRR (2023)
Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen
KF K-means: A High Performance K-means Implementation using Kernel Fusion. BigData (2023)
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)
Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC (2023)
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 (2023)
Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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)
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) (2023)
Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu
EvLog: Evolving Log Analyzer for Anomalous Logs Identification. CoRR (2023)
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)
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 (2023)
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)
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 (2023)
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. BigData (2023)
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 (2023)
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. BigData (2023)
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)
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 (2023)
Liming Wang, Jiaxing Fan, Fengzhe Zhong, Yan Liu, Jinyang Liu
Anomaly Detection in Dynamic Networks through Edge-Tight Structure Embedding. TrustCom (2023)
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 (2023)
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)
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
BARS: Towards Open Benchmarking for Recommender Systems. CoRR (2022)
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)
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)
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 (2022)
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)
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)
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) (2022)
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) (2022)
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) (2022)
Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance. CoRR (2021)
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)
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
Open Benchmarking for Click-Through Rate Prediction. CIKM (2021)
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)
Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR (2021)
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)
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 (2021)
Jinyang Liu, Chuantao Yin, Xiaoyan Zhang, Kunyang Wang, Hong Zhou
A hierarchical RNN-based model for learning recommendation with session intent detection. SEKE (2021)
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)
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) (2021)
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 (2021)
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
Ensembled CTR Prediction via Knowledge Distillation. CIKM (2020)
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. CoRR (2020)
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
Ensembled CTR Prediction via Knowledge Distillation. CoRR (2020)
Jinyang Liu, Yujia Zhai, Zizhong Chen
Normalization of Input-output Shared Embeddings in Text Generation Models. CoRR (2020)
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)
Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu
Deep Learning Based Code Completion Models for Programming Codes. ISCSIC (2019)
Jinyang Liu, Ye Qiu, Zhiyi Ma, Zhonghai Wu
Autoencoder based API Recommendation System for Android Programming. ICCSE (2019)
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR (2019)
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)
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
Tools and Benchmarks for Automated Log Parsing. CoRR (2018)
Zhiyi Ma, Huihong He, Jinyang Liu, Xiao He
Analysis of the Evolution of the UML Metamodel. MODELSWARD (2018)
Zhiyi Ma, Jinyang Liu, Xiao He
An Approach to Modeling Microservice Solutions. ICISA (2018)
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)
Jiaming Jiang, Jinyang Liu, Lingfeng Wei, Lei Lei, Jing Du, Jin Liu
Virtual Power Meter Supported Power Consumption Prediction of Web Services. IIKI (2014)
Jinyang Liu, Chuanlei Zhang, Shanwen Zhang, Weidong Fang
An efficient and accurate optimization method of sliding window size for PAA. ComComAP (2014)
Zhiwu Xie, Herbert Van de Sompel, Jinyang Liu, Johann van Reenen, Ramiro Jordan
Archiving the relaxed consistency web. CIKM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinyang Liu