Jinyang Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
22
Active years
2013–2026
Best venue rank
A*
Where they publish
- A*ICSE7 papers
- AICS6 papers
- ASC5 papers
- AISSRE5 papers
- AHPDC4 papers
- BPPoPP4 papers
- A*CVPR4 papers
- CCLUSTER4 papers
- ACIKM3 papers
- A*ICDE2 papers
- NationalHiPC2 papers
- AEuroSys1 paper
- A*SIGCOMM1 paper
- A*ICML1 paper
- AISSTA1 paper
- A*UIST1 paper
- BGLOBECOM1 paper
- A*ICDM1 paper
- BTrustCom1 paper
- A*SIGIR1 paper
- CSEKE1 paper
- CMODELSWARD1 paper
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroSys | Proactive Change Risk Detection in Production Cloud Systems: ByteDance's Experience. | Jinyang Liu, Yichen Li, Tieying Zhang, Binbin Chen, Xiao He, Zhihan Jiang, Haipeng Zhang, Gang Wu, Yi Li |
| 2026 | HPDC | TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition. | Zhuoxun Yang, Ruoyu Li, Amit N. Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, Kai Zhao |
| 2026 | HPDC | OPAL: On-demand Progressive Accelerated Scientific Lossy Compression. | Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, Kai Zhao |
| 2026 | ICDE | Krone: Hierarchical and Modular Log Anomaly Detection. | Lei Ma, Jinyang Liu, Tieying Zhang, Peter M. VanNostrand, Dennis M. Hofmann, Lei Cao, Elke A. Rundensteiner, Jianjun Chen |
| 2026 | ICS | GPZ: GPU-Accelerated Lossy Compressor for Particle Data. | Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, Kai Zhao |
| 2026 | PPoPP | PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation. | Bing Lu, Zedong Liu, Hairui Zhao, Dejun Luo, Wenjing Huang, Yida Gu, Jinyang Liu, Guangming Tan, Dingwen Tao |
| 2026 | SIGCOMM | KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving. | Zedong Liu, Xinyang Ma, Dejun Luo, Hairui Zhao, Bing Lu, Wenjing Huang, Yida Gu, Xingchen Liu, Zheng Wei, Jinyang Liu, Dingwen Tao, Guangming Tan |
| 2025 | CVPR | 3D-HGS: 3D Half-Gaussian Splatting. | Haolin Li, Jinyang Liu, Mario Sznaier, Octavia I. Camps |
| 2025 | CVPR | A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging. | Yuanye Liu, Jinyang Liu, Renwei Dian, Shutao Li |
| 2025 | HPDC | IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications. | Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao |
| 2025 | ICML | Fast Estimation of Partial Dependence Functions using Trees. | Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu |
| 2025 | ICS | NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. | Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin |
| 2025 | ICSE | COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge. | Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu |
| 2025 | ICSE | ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems. | Wenwei Gu, Jiazhen Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Jinxi Kuang, Cong Feng, Yongqiang Yang, Michael R. Lyu |
| 2025 | PPoPP | High-performance Visual Semantics Compression for AI-Driven Science. | Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao |
| 2025 | PPoPP | TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. | Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, Zizhong Chen |
| 2025 | SC | Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion. | Ziwei Qiu, Jinyang Liu, Kai Zhao, Robert Underwood, Sheng Di |
| 2025 | SC | Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. | Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello |
| 2024 | CLUSTER | FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. | Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello |
| 2024 | CVPR | Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. | Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire, Mario Sznaier, Octavia I. Camps |
| 2024 | ICDE | Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. | Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo |
| 2024 | ICS | gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. | 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 |
| 2024 | ICSE | FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. | Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu |
| 2024 | ICSE | Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. | Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu |
| 2024 | ISSRE | Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. | Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu |
| 2024 | ISSRE | KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. | Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu |
| 2024 | ISSTA | A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? | Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu |
| 2024 | PPoPP | POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. | 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 |
| 2024 | SC | cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. | Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2024 | SC | hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. | Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur |
| 2024 | UIST | Empower Real-World BCIs with NIRS-X: An Adaptive Learning Framework that Harnesses Unlabeled Brain Signals. | Liang Wang, Jiayan Zhang, Jinyang Liu, Devon McKeon, David Guy Brizan, Giles Blaney, Robert J. K. Jacob |
| 2023 | CLUSTER | PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. | Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur |
| 2023 | CLUSTER | An Efficient and Accurate Compression Ratio Estimation Model for SZx. | Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | GLOBECOM | A Multi-Dimensional Resource Cooperative Allocation Scheme Based on Wireless Digital Twin Network. | Qingbi Zheng, Guangyu Li, Yitong Liu, Yuehong Gao, Kuo Cui, Jinyang Liu |
| 2023 | HiPC | Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. | Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello |
| 2023 | HiPC | SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. | Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | HPDC | Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. | Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur |
| 2023 | ICDM | A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. | Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu |
| 2023 | ICS | FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. | Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2023 | ICS | Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. | Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen |
| 2023 | ICSE | Incident-aware Duplicate Ticket Aggregation for Cloud Systems. | 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 |
| 2023 | ISSRE | EvLog: Identifying Anomalous Logs over Software Evolution. | Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu |
| 2023 | ISSRE | Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. | Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu |
| 2023 | ISSRE | Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. | Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu |
| 2023 | TrustCom | Anomaly Detection in Dynamic Networks through Edge-Tight Structure Embedding. | Liming Wang, Jiaxing Fan, Fengzhe Zhong, Yan Liu, Jinyang Liu |
| 2022 | CVPR | NTIRE 2022 Spectral Recovery Challenge and Data Set. | 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 |
| 2022 | ICSE | Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. | Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu |
| 2022 | SIGIR | BARS: Towards Open Benchmarking for Recommender Systems. | Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang |
| 2022 | SC | Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. | Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | CIKM | Open Benchmarking for Click-Through Rate Prediction. | Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He |
| 2021 | CLUSTER | Exploring Autoencoder-based Error-bounded Compression for Scientific Data. | Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | ICS | FT-BLAS: a high performance BLAS implementation with online fault tolerance. | Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen |
| 2021 | SEKE | A hierarchical RNN-based model for learning recommendation with session intent detection. | Jinyang Liu, Chuantao Yin, Xiaoyan Zhang, Kunyang Wang, Hong Zhou |
| 2020 | CIKM | Ensembled CTR Prediction via Knowledge Distillation. | Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng |
| 2019 | ICSE | Tools and benchmarks for automated log parsing. | Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu |
| 2018 | MODELSWARD | Analysis of the Evolution of the UML Metamodel. | Zhiyi Ma, Huihong He, Jinyang Liu, Xiao He |
| 2013 | CIKM | Archiving the relaxed consistency web. | Zhiwu Xie, Herbert Van de Sompel, Jinyang Liu, Johann van Reenen, Ramiro Jordan |