Feifei Li

According to our database, Feifei Li authored at least 185 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sub-trajectory clustering with deep reinforcement learning.

Anqi Liang, Bin Yao, Bo Wang, Yinpei Liu, Zhida Chen, Jiong Xie, Feifei Li

VLDB J., May, 2024

Towards Practical Oblivious Join Processing.

Zhao Chang, Dong Xie, Sheng Wang, Feifei Li, Yulong Shen

IEEE Trans. Knowl. Data Eng., April, 2024

SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search.

Chaoji Zuo, Miao Qiao, Wenchao Zhou, Feifei Li, Dong Deng

Proc. ACM Manag. Data, February, 2024

2023

Rethinking Learned Cost Models: Why Start from Scratch?

Jiani Yang, Sai Wu, Dongxiang Zhang, Jian Dai, Feifei Li, Gang Chen

Proc. ACM Manag. Data, December, 2023

Rethink Query Optimization in HTAP Databases.

Haoze Song, Wenchao Zhou, Feifei Li, Xiang Peng, Heming Cui

Proc. ACM Manag. Data, December, 2023

TEE-based General-purpose Computational Backend for Secure Delegated Data Processing.

Mo Sha, Jialin Li, Sheng Wang, Feifei Li, Kian-Lee Tan

Proc. ACM Manag. Data, December, 2023

An Efficient Transfer Learning Based Configuration Adviser for Database Tuning.

Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui

Proc. VLDB Endow., November, 2023

SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments.

Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Meng Shi, Gang Chen, Feifei Li

Proc. VLDB Endow., November, 2023

Secure Sampling for Approximate Multi-party Query Processing.

Qiyao Luo, Yilei Wang, Ke Yi, Sheng Wang, Feifei Li

Proc. ACM Manag. Data, September, 2023

Learning-based query optimization for multi-probe approximate nearest neighbor search.

Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, Feilong Tang

VLDB J., May, 2023

ROVEC: Runtime Optimization of Vectorized Expression Evaluation for Column Store.

Meng Li, Zheyu Miao, Di Wu, Feifei Li, Sheng Wang, Wei Cao, Zhi Qiao, Yubin Ruan, Yukun Liang, Jimmy Yang, Haipeng Dai, Guihai Chen

IEEE Trans. Knowl. Data Eng., March, 2023

SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting.

Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen, Tianyi Li, Jie Chen, Jiaqi Wang, Feifei Li, Yunjun Gao

Proc. VLDB Endow., 2023

PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads.

Xinjun Yang, Yingqiang Zhang, Hao Chen, Chuan Sun, Feifei Li, Wenchao Zhou

Proc. VLDB Endow., 2023

Ganos Aero: A Cloud-Native System for Big Raster Data Management and Processing.

Fei Xiao, Jiong Xie, Zhida Chen, Feifei Li, Zhen Chen, Jianwei Liu, Yinpei Liu

Proc. VLDB Endow., 2023

Real-time Workload Pattern Analysis for Large-scale Cloud Databases.

Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao

Proc. VLDB Endow., 2023

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.

Chunhui Shen, Qianyu Ouyang, Feibo Li, Zhipeng Liu, Longcheng Zhu, Yujie Zou, Qing Su, Tianhuan Yu, Yi Yi, Jianhong Hu, Cen Zheng, Bo Wen, Hanbang Zheng, Lunfan Xu, Sicheng Pan, Bin Wu, Xiao He, Ye Li, Jian Tan, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2023

Anser: Adaptive Information Sharing Framework of AnalyticDB.

Liang Lin, Yuhan Li, Bin Wu, Huijun Mai, Renjie Lou, Jian Tan, Feifei Li

Proc. VLDB Endow., 2023

Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud.

Ji-You Li, Jiachi Zhang, Wenchao Zhou, Yuhang Liu, Shuai Zhang, Zhuoming Xue, Ding Xu, Hua Fan, Fangyuan Zhou, Feifei Li

Proc. VLDB Endow., 2023

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting.

Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li

Proc. VLDB Endow., 2023

CatSQL: Towards Real World Natural Language to SQL Applications.

Han Fu, Chang Liu, Bin Wu, Feifei Li, Jian Tan, Jianling Sun

Proc. VLDB Endow., 2023

Modernization of Databases in the Cloud Era: Building Databases that Run Like Legos.

Feifei Li

Proc. VLDB Endow., 2023

A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning.

Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui

Proc. ACM Manag. Data, 2023

PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba.

Jianying Wang, Tongliang Li, Haoze Song, Xinjun Yang, Wenchao Zhou, Feifei Li, Baoyue Yan, Qianqian Wu, Yukun Liang, Chengjun Ying, Yujie Wang, Baokai Chen, Chang Cai, Yubin Ruan, Xiaoyi Weng, Shibin Chen, Liang Yin, Chengzhong Yang, Xin Cai, Hongyan Xing, Nanlong Yu, Xiaofei Chen, Dapeng Huang, Jianling Sun

Proc. ACM Manag. Data, 2023

Detecting Logic Bugs of Join Optimizations in DBMS.

Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen

Proc. ACM Manag. Data, 2023

Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol (Technical Report).

Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo

CoRR, 2023

A Bayesian approach for bandit online optimization with switching cost.

Zai Shi, Jian Tan, Feifei Li

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Encrypted Databases Made Secure Yet Maintainable.

Mingyu Li, Xuyang Zhao, Le Chen, Cheng Tan, Huorong Li, Sheng Wang, Zeyu Mi, Yubin Xia, Feifei Li, Haibo Chen

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies.

Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol.

Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution.

Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Persistent Memory Disaggregation for Cloud-Native Relational Databases.

Chaoyi Ruan, Yingqiang Zhang, Chao Bi, Xiaosong Ma, Hao Chen, Feifei Li, Xinjun Yang, Cheng Li, Ashraf Aboulnaga, Yinlong Xu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices.

Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Efficient Oblivious Query Processing for Range and kNN Queries.

Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian

IEEE Trans. Knowl. Data Eng., 2022

AB-tree: Index for Concurrent Random Sampling and Updates.

Zhuoyue Zhao, Dong Xie, Feifei Li

Proc. VLDB Endow., 2022

SA-LSM : Optimize Data Layout for LSM-tree Based Storage using Survival Analysis.

Teng Zhang, Jian Tan, Xin Cai, Jianying Wang, Feifei Li, Jianling Sun

Proc. VLDB Endow., 2022

Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation.

Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui

Proc. VLDB Endow., 2022

Ganos: A Multidimensional, Dynamic, and Scene-Oriented Cloud-Native Spatial Database Engine.

Jiong Xie, Zhen Chen, Jianwei Liu, Fang Wang, Feifei Li, Zhida Chen, Yinpei Liu, Songlu Cai, Zhenhua Fan, Fei Xiao, Yue Chen

Proc. VLDB Endow., 2022

Operon: An Encrypted Database for Ownership-Preserving Data Management.

Sheng Wang, Yiran Li, Huorong Li, Feifei Li, Chengjin Tian, Le Su, Yanshan Zhang, Yubing Ma, Lie Yan, Yuanyuan Sun, Xuntao Cheng, Xiaolong Xie, Yu Zou

Proc. VLDB Endow., 2022

HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database.

Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang

Proc. VLDB Endow., 2022

VRE: A Versatile, Robust, and Economical Trajectory Data System.

Hai Lan, Jiong Xie, Zhifeng Bao, Feifei Li, Wei Tian, Fang Wang, Sheng Wang, Ailin Zhang

Proc. VLDB Endow., 2022

Tair-PMem: a Fully Durable Non-Volatile Memory Database.

Caixin Gong, Chengjin Tian, Zhengheng Wang, Sheng Wang, Xiyu Wang, Qiulei Fu, Wu Qin, Qian Long, Rui Chen, Jiang Qi, Ruo Wang, Guoyun Zhu, Chenghu Yang, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2022

CloudJump: Optimizing Cloud Databases for Cloud Storages.

Zongzhi Chen, Xinjun Yang, Feifei Li, Xuntao Cheng, Qingda Hu, Zheyu Miao, Rongbiao Xie, Xiaofei Wu, Kang Wang, Zhao Song, Haiqing Sun, Zechao Zhuang, Yuming Yang, Jie Xu, Liang Yin, Wenchao Zhou, Sheng Wang

Proc. VLDB Endow., 2022

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding.

Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui

CoRR, 2022

A Sampling-based Learning Framework for Big Databases.

Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Dynamic and Safe Configuration Tuning for Cloud Databases.

Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

ESDB: Processing Extremely Skewed Workloads in Real-time.

Jiachi Zhang, Shi Cheng, Zhihui Xue, Jianjun Deng, Cuiyun Fu, Wenchao Zhou, Sheng Wang, Changcheng Chen, Feifei Li

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

PreQR: Pre-training Representation for SQL Understanding.

Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Remus: Efficient Live Migration for Distributed Databases with Snapshot Isolation.

Junbin Kang, Le Cai, Feifei Li, Xingxuan Zhou, Wei Cao, Songlu Cai, Daming Shao

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Towards Practical Oblivious Join.

Zhao Chang, Dong Xie, Sheng Wang, Feifei Li

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Releasing Private Data for Numerical Queries.

Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Ubiquitous Verification in Centralized Ledger Database.

Xinying Yang, Sheng Wang, Feifei Li, Yuan Zhang, Wenyuan Yan, Fangyu Gai, Benquan Yu, Likai Feng, Qun Gao, Yize Li

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases.

Xiaoze Liu, Zheng Yin, Chao Zhao, Congcong Ge, Lu Chen, Yunjun Gao, Dimeng Li, Ziting Wang, Gaozhong Liang, Jian Tan, Feifei Li

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Comparative Study of in-Database Inference Approaches.

Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract).

Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PolarDB-X: An Elastic Distributed Relational Database for Cloud-Native Applications.

Wei Cao, Feifei Li, Gui Huang, Jianghang Lou, Jianwei Zhao, Dengcheng He, Mengshi Sun, Yingqiang Zhang, Sheng Wang, Xueqiang Wu, Han Liao, Zilin Chen, Xiaojian Fang, Mo Chen, Chenghui Liang, Yanxin Luo, Huanming Wang, Songlei Wang, Zhanfeng Ma, Xinjun Yang, Xiang Peng, Yubin Ruan, Yuhui Wang, Jie Zhou, Jianying Wang, Qingda Hu, Junbin Kang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Semantic embedding for regions of interest.

Debjyoti Paul, Feifei Li, Jeff M. Phillips

VLDB J., 2021

Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation.

Yingqiang Zhang, Chaoyi Ruan, Cheng Li, Jimmy Yang, Wei Cao, Feifei Li, Bo Wang, Jing Fang, Yuhui Wang, Jingze Huo, Chao Bi

Proc. VLDB Endow., 2021

Revisiting the Design of LSM-tree Based OLTP Storage Engine with Persistent Memory.

Baoyue Yan, Xuntao Cheng, Bo Jiang, Shibin Chen, Canfang Shang, Jianying Wang, Kenry Huang, Xinjun Yang, Wei Cao, Feifei Li

Proc. VLDB Endow., 2021

Cquirrel: Continuous Query Processing over Acyclic Relational Schemas.

Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, Chaoqun Zhan

Proc. VLDB Endow., 2021

Building Enclave-Native Storage Engines for Practical Encrypted Databases.

Yuanyuan Sun, Sheng Wang, Huorong Li, Feifei Li

Proc. VLDB Endow., 2021

Database Workload Characterization with Query Plan Encoders.

Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar

Proc. VLDB Endow., 2021

VeriDB: An SGX-based Verifiable Database.

Wenchao Zhou, Yifan Cai, Yanqing Peng, Sheng Wang, Ke Ma, Feifei Li

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases.

Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

At-the-time and Back-in-time Persistent Sketches.

Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries.

Yuan Qiu, Yilei Wang, Ke Yi, Feifei Li, Bin Wu, Chaoqun Zhan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers.

Wei Cao, Yingqiang Zhang, Xinjun Yang, Feifei Li, Sheng Wang, Qingda Hu, Xuntao Cheng, Zongzhi Chen, Zhenjun Liu, Jing Fang, Bo Wang, Yuhui Wang, Haiqing Sun, Ze Yang, Zhushi Cheng, Sen Chen, Jian Wu, Wei Hu, Jianwei Zhao, Yusong Gao, Songlu Cai, Yunyang Zhang, Jiawang Tong

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

LogStore: A Cloud-Native and Multi-Tenant Log Database.

Wei Cao, Xiaojie Feng, Boyuan Liang, Tianyu Zhang, Yusong Gao, Yunyang Zhang, Feifei Li

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Spatial Independent Range Sampling.

Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Constrained Non-Affine Alignment of Embeddings.

Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips

Proceedings of the IEEE International Conference on Data Mining, 2021

SLIMSTORE: A Cloud-based Deduplication System for Multi-version Backups.

Zihao Zhang, Huiqi Hu, Zhihui Xue, Changcheng Chen, Yang Yu, Cuiyun Fu, Xuan Zhou, Feifei Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

LedgerDB: A Centralized Ledger Database for Universal Audit and Verification.

Xinying Yang, Yuan Zhang, Sheng Wang, Benquan Yu, Feifei Li, Yize Li, Wenyuan Yan

Proc. VLDB Endow., 2020

Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines.

Lei Yang, Hong Wu, Tieying Zhang, Xuntao Cheng, Feifei Li, Lei Zou, Yujie Wang, Rongyao Chen, Jianying Wang, Gui Huang

Proc. VLDB Endow., 2020

AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data.

Chuangxian Wei, Bin Wu, Sheng Wang, Renjie Lou, Chaoqun Zhan, Feifei Li, Yuanzhe Cai

Proc. VLDB Endow., 2020

Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases.

Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Feifei Li, Changcheng Chen, Dan Pei

Proc. VLDB Endow., 2020

Efficient Join Synopsis Maintenance for Data Warehouse.

Zhuoyue Zhao, Feifei Li, Yuxi Liu

Proceedings of the 2020 International Conference on Management of Data, 2020

FalconDB: Blockchain-based Collaborative Database.

Yanqing Peng, Min Du, Feifei Li, Raymond Cheng, Dawn Song

Proceedings of the 2020 International Conference on Management of Data, 2020

Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics.

Wei Cao, Yusong Gao, Feifei Li, Sheng Wang, Bingchen Lin, Ke Xu, Xiaojie Feng, Yucong Wang, Zhenjun Liu, Gejin Zhang

Proceedings of the 2020 International Conference on Management of Data, 2020

Two-Level Data Compression using Machine Learning in Time Series Database.

Xinyang Yu, Yanqing Peng, Feifei Li, Sheng Wang, Xiaowei Shen, Huijun Mai, Yue Xie

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

HybrIDX: New Hybrid Index for Volume-hiding Range Queries in Data Outsourcing Services.

Kui Ren, Yu Guo, Jiaqi Li, Xiaohua Jia, Cong Wang, Yajin Zhou, Sheng Wang, Ning Cao, Feifei Li

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

FPGA-Accelerated Compactions for LSM-based Key-Value Store.

Teng Zhang, Jianying Wang, Xuntao Cheng, Hao Xu, Nanlong Yu, Gui Huang, Tieying Zhang, Dengcheng He, Feifei Li, Wei Cao, Zhongdong Huang, Jianling Sun

Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

HotRing: A Hotspot-Aware In-Memory Key-Value Store.

Jiqiang Chen, Liang Chen, Sheng Wang, Guoyun Zhu, Yuanyuan Sun, Huan Liu, Feifei Li

Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

2019

SolarDB: Toward a Shared-Everything Database on Distributed Log-Structured Storage.

Tao Zhu, Zhuoyue Zhao, Feifei Li, Weining Qian, Aoying Zhou, Dong Xie, Ryan Stutsman, HaiNing Li, Huiqi Hu

ACM Trans. Storage, 2019

Spell: Online Streaming Parsing of Large Unstructured System Logs.

Min Du, Feifei Li

IEEE Trans. Knowl. Data Eng., 2019

AnalyticDB: Real-time OLAP Database System at Alibaba Cloud.

Chaoqun Zhan, Maomeng Su, Chuangxian Wei, Xiaoqiang Peng, Liang Lin, Sheng Wang, Zhe Chen, Feifei Li, Yue Pan, Fang Zheng, Chengliang Chai

Proc. VLDB Endow., 2019

iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases.

Jian Tan, Tieying Zhang, Feifei Li, Jie Chen, Qixing Zheng, Ping Zhang, Honglin Qiao, Yue Shi, Wei Cao, Rui Zhang

Proc. VLDB Endow., 2019

Cloud native database systems at Alibaba: Opportunities and Challenges.

Feifei Li

Proc. VLDB Endow., 2019

CATIRI: An Efficient Method for Content-and-Text Based Image Retrieval.

Mengqi Zeng, Bin Yao, Zhi-Jie Wang, Yanyan Shen, Feifei Li, Jianfeng Zhang, Hao Lin, Minyi Guo

J. Comput. Sci. Technol., 2019

Privacy-Preserving Outsourced Speech Recognition for Smart IoT Devices.

Zhuo Ma, Yang Liu, Ximeng Liu, Jianfeng Ma, Feifei Li

IEEE Internet Things J., 2019

Feature Detection and Attenuation in Embeddings.

Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li

CoRR, 2019

Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records.

Min Du, Robert Christensen, Wei Zhang, Feifei Li

Proceedings of the World Wide Web Conference, 2019

X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing.

Gui Huang, Xuntao Cheng, Jianying Wang, Yujie Wang, Dengcheng He, Tieying Zhang, Feifei Li, Sheng Wang, Wei Cao, Qiang Li

Proceedings of the 2019 International Conference on Management of Data, 2019

Bursty Event Detection Throughout Histories.

Debjyoti Paul, Yanqing Peng, Feifei Li

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

AI Pro: Data Processing Framework for AI Models.

Richie Frost, Debjyoti Paul, Feifei Li

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Narrowing the Gap Between Serverless and its State with Storage Functions.

Tian Zhang, Dong Xie, Feifei Li, Ryan Stutsman

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Preface to the special issue on advances in Spatio-temporal data analysis and management.

Kai Zheng, Feifei Li, Kyuseok Shim

GeoInformatica, 2018

Solar: Towards a Shared-Everything Database on Distributed Log-Structured Storage.

Tao Zhu, Zhuoyue Zhao, Feifei Li, Weining Qian, Aoying Zhou, Dong Xie, Ryan Stutsman, HaiNing Li, Huiqi Hu

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Random Sampling over Joins Revisited.

Zhuoyue Zhao, Robert Christensen, Feifei Li, Xiao Hu, Ke Yi

Proceedings of the 2018 International Conference on Management of Data, 2018

Persistent Bloom Filter: Membership Testing for the Entire History.

Yanqing Peng, Jinwei Guo, Feifei Li, Weining Qian, Aoying Zhou

Proceedings of the 2018 International Conference on Management of Data, 2018

OpenTag: Open Attribute Value Extraction from Product Profiles.

Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Secure DIMM: Moving ORAM Primitives Closer to Memory.

Ali Shafiee, Rajeev Balasubramonian, Mohit Tiwari, Feifei Li

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017

Trip Planning Queries in Road Network Databases.

Feifei Li, Marios Hadjieleftheriou, George Kollios, Dihan Cheng, Shang-Hua Teng

Proceedings of the Encyclopedia of GIS., 2017

Preface to the special issue on big data search and mining.

Kai Zheng, Feifei Li, Kyuseok Shim

World Wide Web, 2017

ATOM: Efficient Tracking, Monitoring, and Orchestration of Cloud Resources.

Min Du, Feifei Li

IEEE Trans. Parallel Distributed Syst., 2017

Wander Join and XDB: Online Aggregation via Random Walks.

Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao

SIGMOD Rec., 2017

Distributed Trajectory Similarity Search.

Dong Xie, Feifei Li, Jeff M. Phillips

Proc. VLDB Endow., 2017

Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says!

Debjyoti Paul, Feifei Li, Murali Krishna Teja, Xin Yu, Richie Frost

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.

Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Exact and approximate flexible aggregate similarity search.

Feifei Li, Ke Yi, Yufei Tao, Bin Yao, Yang Li, Dong Xie, Min Wang

VLDB J., 2016

Oblivious RAM: A Dissection and Experimental Evaluation.

Zhao Chang, Dong Xie, Feifei Li

Proc. VLDB Endow., 2016

Simba: Efficient In-Memory Spatial Analytics.

Dong Xie, Feifei Li, Bin Yao, Gefei Li, Liang Zhou, Minyi Guo

Proceedings of the 2016 International Conference on Management of Data, 2016

Matrix Sketching Over Sliding Windows.

Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen

Proceedings of the 2016 International Conference on Management of Data, 2016

Graph Analytics Through Fine-Grained Parallelism.

Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng

Proceedings of the 2016 International Conference on Management of Data, 2016

Wander Join: Online Aggregation for Joins.

Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao

Proceedings of the 2016 International Conference on Management of Data, 2016

Privacy Preserving Subgraph Matching on Large Graphs in Cloud.

Zhao Chang, Lei Zou, Feifei Li

Proceedings of the 2016 International Conference on Management of Data, 2016

Wander Join: Online Aggregation via Random Walks.

Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao

Proceedings of the 2016 International Conference on Management of Data, 2016

Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration.

Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

Spell: Streaming Parsing of System Event Logs.

Min Du, Feifei Li

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Simba: spatial in-memory big data analysis.

Dong Xie, Feifei Li, Bin Yao, Gefei Li, Zhongpu Chen, Liang Zhou, Minyi Guo

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015

Spatial Online Sampling and Aggregation.

Lu Wang, Robert Christensen, Feifei Li, Ke Yi

Proc. VLDB Endow., 2015

Distributed Online Tracking.

Mingwang Tang, Feifei Li, Yufei Tao

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data.

Robert Christensen, Lu Wang, Feifei Li, Ke Yi, Jun Tang, Natalee Villa

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Fixed-function hardware sorting accelerators for near data MapReduce execution.

Seth H. Pugsley, Arjun Deb, Rajeev Balasubramonian, Feifei Li

Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

ATOM: Automated tracking, orchestration and monitoring of resource usage in infrastructure as a service systems.

Min Du, Feifei Li

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Dynamic monitoring of optimal locations in road network databases.

Bin Yao, Xiaokui Xiao, Feifei Li, Yifan Wu

VLDB J., 2014

Scalable Keyword Search on Large RDF Data.

Wangchao Le, Feifei Li, Anastasios Kementsietsidis, Songyun Duan

IEEE Trans. Knowl. Data Eng., 2014

Continuous Matrix Approximation on Distributed Data.

Mina Ghashami, Jeff M. Phillips, Feifei Li

Proc. VLDB Endow., 2014

Comparing Implementations of Near-Data Computing with In-Memory MapReduce Workloads.

Seth H. Pugsley, Jeffrey Jestes, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li

IEEE Micro, 2014

Scalable data summarization on big data.

Feifei Li, Suman Nath

Distributed Parallel Databases, 2014

Scalable histograms on large probabilistic data.

Mingwang Tang, Feifei Li

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads.

Seth H. Pugsley, Jeffrey Jestes, Huihui Zhang, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li

Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software, 2014

2013

Spatial Approximate String Search.

Feifei Li, Bin Yao, Mingwang Tang, Marios Hadjieleftheriou

IEEE Trans. Knowl. Data Eng., 2013

Rethinking Abstractions for Big Data: Why, Where, How, and What.

Mary W. Hall, Robert M. Kirby, Feifei Li, Miriah D. Meyer, Valerio Pascucci, Jeff M. Phillips, Robert Ricci, Jacobus E. van der Merwe, Suresh Venkatasubramanian

CoRR, 2013

Quality and efficiency for kernel density estimates in large data.

Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Optimal splitters for temporal and multi-version databases.

Wangchao Le, Feifei Li, Yufei Tao, Robert Christensen

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Adaptive log compression for massive log data.

Robert Christensen, Feifei Li

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Secure nearest neighbor revisited.

Bin Yao, Feifei Li, Xiaokui Xiao

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

CloudDB 2013: fifth international workshop on cloud data management.

Feifei Li, Xiaofeng Meng, Fusheng Wang, Cong Yu

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

LogKV: Exploiting Key-Value Stores for Log Processing.

Zhao Cao, Shimin Chen, Feifei Li, Min Wang, Xiaoyang Sean Wang

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

Query Access Assurance in Outsourced Databases.

Wangchao Le, Feifei Li

IEEE Trans. Serv. Comput., 2012

Ranking Large Temporal Data.

Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang

Proc. VLDB Endow., 2012

ColumbuScout: towards building local search engines over large databases.

Cody Hansen, Feifei Li

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Efficient Threshold Monitoring for Distributed Probabilistic Data.

Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Scalable Multi-query Optimization for SPARQL.

Wangchao Le, Anastasios Kementsietsidis, Songyun Duan, Feifei Li

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Towards Fair Sharing of Block Storage in a Multi-tenant Cloud.

Xing Lin, Yun Mao, Feifei Li, Robert Ricci

Proceedings of the 4th USENIX Workshop on Hot Topics in Cloud Computing, 2012

Efficient parallel kNN joins for large data in MapReduce.

Chi Zhang, Feifei Li, Jeffrey Jestes

Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011

The World in a Nutshell: Concise Range Queries.

Ke Yi, Xiang Lian, Feifei Li, Lei Chen

IEEE Trans. Knowl. Data Eng., 2011

Group Enclosing Queries.

Feifei Li, Bin Yao, Piyush Kumar

IEEE Trans. Knowl. Data Eng., 2011

Semantics of Ranking Queries for Probabilistic Data.

Jeffrey Jestes, Graham Cormode, Feifei Li, Ke Yi

IEEE Trans. Knowl. Data Eng., 2011

Building Wavelet Histograms on Large Data in MapReduce.

Jeffrey Jestes, Ke Yi, Feifei Li

Proc. VLDB Endow., 2011

Rewriting queries on SPARQL views.

Wangchao Le, Songyun Duan, Anastasios Kementsietsidis, Feifei Li, Min Wang

Proceedings of the 20th International Conference on World Wide Web, 2011

Flexible aggregate similarity search.

Yang Li, Feifei Li, Ke Yi, Bin Yao, Min Wang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Optimal location queries in road network databases.

Xiaokui Xiao, Bin Yao, Feifei Li

Proceedings of the 27th International Conference on Data Engineering, 2011

Multi-approximate-keyword routing in GIS data.

Bin Yao, Mingwang Tang, Feifei Li

Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

2010

Top-<i>k</i> queries on temporal data.

Feifei Li, Ke Yi, Wangchao Le

VLDB J., 2010

Authenticated Index Structures for Aggregation Queries.

Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin

ACM Trans. Inf. Syst. Secur., 2010

Logging every footstep: quantile summaries for the entire history.

Yufei Tao, Ke Yi, Cheng Sheng, Jian Pei, Feifei Li

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Probabilistic string similarity joins.

Jeffrey Jestes, Feifei Li, Zhepeng Yan, Ke Yi

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free.

Bin Yao, Feifei Li, Piyush Kumar

Proceedings of the 26th International Conference on Data Engineering, 2010

Approximate string search in spatial databases.

Bin Yao, Feifei Li, Marios Hadjieleftheriou, Kun Hou

Proceedings of the 26th International Conference on Data Engineering, 2010

2009

Small synopses for group-by query verification on outsourced data streams.

Ke Yi, Feifei Li, Graham Cormode, Marios Hadjieleftheriou, George Kollios, Divesh Srivastava

ACM Trans. Database Syst., 2009

Robust approximate aggregation in sensor data management systems.

Jeffrey Considine, Marios Hadjieleftheriou, Feifei Li, John W. Byers, George Kollios

ACM Trans. Database Syst., 2009

Ranking distributed probabilistic data.

Feifei Li, Ke Yi, Jeffrey Jestes

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

A Concise Representation of Range Queries.

Ke Yi, Xiang Lian, Feifei Li, Lei Chen

Proceedings of the 25th International Conference on Data Engineering, 2009

Reverse Furthest Neighbors in Spatial Databases.

Bin Yao, Feifei Li, Piyush Kumar

Proceedings of the 25th International Conference on Data Engineering, 2009

Improving Transaction-Time DBMS Performance and Functionality.

David B. Lomet, Feifei Li

Proceedings of the 25th International Conference on Data Engineering, 2009

Semantics of Ranking Queries for Probabilistic Data and Expected Ranks.

Graham Cormode, Feifei Li, Ke Yi

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Trip Planning Queries in Road Network Databases.

Feifei Li, Marios Hadjieleftheriou, George Kollios, Dihan Cheng, Shang-Hua Teng

Proceedings of the Encyclopedia of GIS., 2008

Authenticated Index Structures for Outsourced Databases.

Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin

Proceedings of the Handbook of Database Security - Applications and Trends, 2008

Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations.

Ke Yi, Feifei Li, George Kollios, Divesh Srivastava

IEEE Trans. Knowl. Data Eng., 2008

Finding frequent items in probabilistic data.

Qin Zhang, Feifei Li, Ke Yi

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Efficient Processing of Top-k Queries in Uncertain Databases.

Ke Yi, Feifei Li, George Kollios, Divesh Srivastava

Proceedings of the 24th International Conference on Data Engineering, 2008

Randomized Synopses for Query Assurance on Data Streams.

Ke Yi, Feifei Li, Marios Hadjieleftheriou, George Kollios, Divesh Srivastava

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

Time Series Compressibility and Privacy.

Spiros Papadimitriou, Feifei Li, George Kollios, Philip S. Yu

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams.

Feifei Li, Ke Yi, Marios Hadjieleftheriou, George Kollios

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking.

Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi

Proceedings of the 23rd International Conference on Data Engineering, 2007

2006

Dynamic authenticated index structures for outsourced databases.

Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Characterizing and Exploiting Reference Locality in Data Stream Applications.

Feifei Li, Ching Chang, George Kollios, Azer Bestavros

Proceedings of the 22nd International Conference on Data Engineering, 2006

2005

Robust Aggregation in Sensor Networks.

George Kollios, John W. Byers, Jeffrey Considine, Marios Hadjieleftheriou, Feifei Li

IEEE Data Eng. Bull., 2005

On Trip Planning Queries in Spatial Databases.

Feifei Li, Dihan Cheng, Marios Hadjieleftheriou, George Kollios, Shang-Hua Teng

Proceedings of the Advances in Spatial and Temporal Databases, 9th International Symposium, 2005

2004

Towards building logical views of websites.

Zehua Liu, Wee Keong Ng, Ee-Peng Lim, Feifei Li

Data Knowl. Eng., 2004

Spatio-Temporal Aggregation Using Sketches.

Yufei Tao, George Kollios, Jeffrey Considine, Feifei Li, Dimitris Papadias

Proceedings of the 20th International Conference on Data Engineering, 2004

Approximate Aggregation Techniques for Sensor Databases.

Jeffrey Considine, Feifei Li, George Kollios, John W. Byers

Proceedings of the 20th International Conference on Data Engineering, 2004

2002

A visual tool for building logical data models of websites.

Zehua Liu, Wee Keong Ng, Feifei Li, Ee-Peng Lim

Proceedings of the Fourth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2002), 2002

Wiccap Data Model: Mapping Physical Websites to Logical Views.

Zehua Liu, Feifei Li, Wee Keong Ng

Proceedings of the Conceptual Modeling, 2002

2001

An Information Concierge for the Web.

Feifei Li, Zehua Liu, Yangfeng Huang, Wee Keong Ng

Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001