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ORCIDFeifei Li 0001
Person information
- affiliation: Alibaba Group, Sunnyvale, CA, USA
- affiliation: University of Utah, School of Computing, Salt Lake City, UT, USA
- affiliation (PhD 2007): Boston University, Computer Science Department, MA, USA
Other persons with the same name
- Feifei Li — disambiguation page
- Feifei Li 0002 — Renmin University of China, Beijing, China
- Feifei Li 0003 — Fuzhou University, China
- Feifei Li 0004 — Xi'an University of Technology
- Feifei Li 0005 — Shanghai University
- Feifei Li 0006 — Nanjing University of Science and Technology, China
- Feifei Li 0007 — East China Normal University, China
- Feifei Li 0008 — Beijing University of Posts and Telecommunications, China
- Feifei Li 0009 — Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- Feifei Li 0010 — Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
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2020 – today
- 2024
[j87]Wu Qin, Jiachen Pan, Pingzheng Ge, Feifei Li, Zhuyun Chen
:
Dynamic characteristics modeling and optimization for hydraulic engine mounts based on deep neural network coupled with genetic algorithm. Eng. Appl. Artif. Intell. 130: 107683 (2024)- [j86]Chaoji Zuo, Miao Qiao, Wenchao Zhou, Feifei Li, Dong Deng:
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search. Proc. ACM Manag. Data 2(1): 69:1-69:26 (2024) - [j85]Mo Sha, Yifan Cai, Sheng Wang, Linh Thi Xuan Phan, Feifei Li, Kian-Lee Tan:
Object-oriented Unified Encrypted Memory Management for Heterogeneous Memory Architectures. Proc. ACM Manag. Data 2(3): 155 (2024) - [j84]Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li:
Optimal Matrix Sketching over Sliding Windows. Proc. VLDB Endow. 17(9): 2149-2161 (2024) - [j83]Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei Li, Kui Ren:
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores. Proc. VLDB Endow. 17(10): 2445-2458 (2024) - [j82]Hua Fan, Dachao Fu, Xu Wang, Jiachi Zhang, Chaoji Zuo, Zhengyi Wu, Miao Zhang, Kang Yuan, Xizi Ni, Huo Guocheng, Wenchao Zhou, Feifei Li, Jingren Zhou:
Towards Millions of Database Transmission Services in the Cloud. Proc. VLDB Endow. 17(12): 4001-4013 (2024) - [j81]Zhe Fu, Mo Sha, Yiran Li, Huorong Li, Yubing Ma, Sheng Wang, Feifei Li:
EncChain: Enhancing Large Language Model Applications with Advanced Privacy Preservation Techniques. Proc. VLDB Endow. 17(12): 4413-4416 (2024) - [j80]Zhao Chang, Dong Xie, Sheng Wang, Feifei Li, Yulong Shen:
Towards Practical Oblivious Join Processing. IEEE Trans. Knowl. Data Eng. 36(4): 1829-1842 (2024) - [j79]Zhao Chang, Feifei Li, Yulong Shen:
Generalized Measure-Biased Sampling and Priority Sampling. IEEE Trans. Knowl. Data Eng. 36(11): 6251-6265 (2024) - [j78]Anqi Liang, Bin Yao, Bo Wang, Yinpei Liu, Zhida Chen, Jiong Xie, Feifei Li:
Sub-trajectory clustering with deep reinforcement learning. VLDB J. 33(3): 685-702 (2024) - [j77]Haoze Song, Wenchao Zhou, Heming Cui, Xiang Peng, Feifei Li:
A survey on hybrid transactional and analytical processing. VLDB J. 33(5): 1485-1515 (2024) - [c105]Yitong Song, Kai Wang, Bin Yao, Zhida Chen, Jiong Xie, Feifei Li:
Efficient Reverse k Approximate Nearest Neighbor Search Over High-Dimensional Vectors. ICDE 2024: 4262-4274 - [c104]Rui Wang, Xinjun Yang, Feifei Li, David B. Lomet, Xin Liu, Panfeng Zhou, Yongxiang Chen, David Zhang, Jingren Zhou, Jiesheng Wu:
Bwe-tree: An Evolution of Bw-tree on Fast Storage. ICDE 2024: 5266-5279 - [c103]Han Fu, Jian Tan, Pinhan Zhang, Feifei Li, Jianling Sun:
PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation. ICML 2024 - [c102]Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Wenchao Zhou, Liang Lin, Feifei Li:
Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB. SIGMOD Conference Companion 2024: 255-268 - [c101]Xinjun Yang, Yingqiang Zhang, Hao Chen, Feifei Li, Bo Wang, Jing Fang, Chuan Sun, Yuhui Wang:
PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory. SIGMOD Conference Companion 2024: 295-308 - [i18]Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li:
Optimal Matrix Sketching over Sliding Windows. CoRR abs/2405.07792 (2024) - 2023
- [j76]Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen:
Detecting Logic Bugs of Join Optimizations in DBMS. Proc. ACM Manag. Data 1(1): 55:1-55:26 (2023) - [j75]Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. Proc. ACM Manag. Data 1(2): 186:1-186:26 (2023) - [j74]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:
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba. Proc. ACM Manag. Data 1(2): 199:1-199:25 (2023) - [j73]Qiyao Luo, Yilei Wang, Ke Yi, Sheng Wang, Feifei Li:
Secure Sampling for Approximate Multi-party Query Processing. Proc. ACM Manag. Data 1(3): 219:1-219:27 (2023) - [j72]Jiani Yang, Sai Wu, Dongxiang Zhang, Jian Dai, Feifei Li, Gang Chen:
Rethinking Learned Cost Models: Why Start from Scratch? Proc. ACM Manag. Data 1(4): 255:1-255:27 (2023) - [j71]Haoze Song, Wenchao Zhou, Feifei Li, Xiang Peng, Heming Cui:
Rethink Query Optimization in HTAP Databases. Proc. ACM Manag. Data 1(4): 256:1-256:27 (2023) - [j70]Mo Sha, Jialin Li, Sheng Wang, Feifei Li, Kian-Lee Tan:
TEE-based General-purpose Computational Backend for Secure Delegated Data Processing. Proc. ACM Manag. Data 1(4): 263:1-263:28 (2023) - [j69]Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li:
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting. Proc. VLDB Endow. 16(6): 1399-1412 (2023) - [j68]Han Fu, Chang Liu, Bin Wu, Feifei Li, Jian Tan, Jianling Sun:
CatSQL: Towards Real World Natural Language to SQL Applications. Proc. VLDB Endow. 16(6): 1534-1547 (2023) - [j67]Liang Lin, Yuhan Li, Bin Wu, Huijun Mai, Renjie Lou, Jian Tan, Feifei Li:
Anser: Adaptive Information Sharing Framework of AnalyticDB. Proc. VLDB Endow. 16(12): 3636-3648 (2023) - [j66]Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao:
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. Proc. VLDB Endow. 16(12): 3689-3701 (2023) - [j65]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:
Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems. Proc. VLDB Endow. 16(12): 3715-3727 (2023) - [j64]Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen, Tianyi Li, Jie Chen, Jiaqi Wang, Feifei Li, Yunjun Gao:
SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting. Proc. VLDB Endow. 16(12): 3741-3753 (2023) - [j63]Xinjun Yang, Yingqiang Zhang, Hao Chen, Chuan Sun, Feifei Li, Wenchao Zhou:
PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads. Proc. VLDB Endow. 16(12): 3754-3767 (2023) - [j62]Ji-You Li, Jiachi Zhang, Wenchao Zhou, Yuhang Liu, Shuai Zhang, Zhuoming Xue, Ding Xu, Hua Fan, Fangyuan Zhou, Feifei Li:
Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud. Proc. VLDB Endow. 16(12): 3795-3807 (2023) - [j61]Fei Xiao, Jiong Xie, Zhida Chen, Feifei Li, Zhen Chen, Jianwei Liu, Yinpei Liu:
Ganos Aero: A Cloud-Native System for Big Raster Data Management and Processing. Proc. VLDB Endow. 16(12): 3966-3969 (2023) - [j60]Feifei Li:
Modernization of Databases in the Cloud Era: Building Databases that Run Like Legos. Proc. VLDB Endow. 16(12): 4140-4151 (2023) - [j59]Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Meng Shi, Gang Chen, Feifei Li:
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments. Proc. VLDB Endow. 17(3): 278-291 (2023) - [j58]Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui:
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. Proc. VLDB Endow. 17(3): 539-552 (2023) - [j57]Meng Li, Zheyu Miao, Di Wu, Feifei Li, Sheng Wang, Wei Cao, Zhi Qiao, Yubin Ruan, Yukun Liang, Jimmy Yang, Haipeng Dai, Guihai Chen:
ROVEC: Runtime Optimization of Vectorized Expression Evaluation for Column Store. IEEE Trans. Knowl. Data Eng. 35(3): 3045-3058 (2023) - [j56]Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, Feilong Tang:
Learning-based query optimization for multi-probe approximate nearest neighbor search. VLDB J. 32(3): 623-645 (2023) - [c100]Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li:
ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices. ASPLOS (4) 2023: 287-323 - [c99]Chaoyi Ruan, Yingqiang Zhang, Chao Bi, Xiaosong Ma, Hao Chen, Feifei Li, Xinjun Yang, Cheng Li, Ashraf Aboulnaga, Yinlong Xu:
Persistent Memory Disaggregation for Cloud-Native Relational Databases. ASPLOS (3) 2023: 498-512 - [c98]Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu:
Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution. ICDE 2023: 816-828 - [c97]Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo:
Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol. ICDE 2023: 2317-2331 - [c96]Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li:
EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. ICDE 2023: 2878-2891 - [c95]Mingyu Li, Xuyang Zhao, Le Chen, Cheng Tan, Huorong Li, Sheng Wang, Zeyu Mi, Yubin Xia, Feifei Li, Haibo Chen:
Encrypted Databases Made Secure Yet Maintainable. OSDI 2023: 117-133 - [c94]Zai Shi, Jian Tan, Feifei Li:
A Bayesian approach for bandit online optimization with switching cost. UAI 2023: 1953-1963 - [i17]Ziliang Lai, Hua Fan, Wenchao Zhou, Zhanfeng Ma, Xiang Peng, Feifei Li, Eric Lo:
Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol (Technical Report). CoRR abs/2302.12517 (2023) - [i16]Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. CoRR abs/2303.05710 (2023) - [i15]Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li:
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting. CoRR abs/2304.01506 (2023) - [i14]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:
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba. CoRR abs/2305.08468 (2023) - [i13]Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei Li, Kui Ren:
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores. CoRR abs/2306.16851 (2023) - [i12]Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao:
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. CoRR abs/2307.02626 (2023) - 2022
- [j55]Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. Proc. VLDB Endow. 15(9): 1808-1821 (2022) - [j54]Zhuoyue Zhao, Dong Xie, Feifei Li:
AB-tree: Index for Concurrent Random Sampling and Updates. Proc. VLDB Endow. 15(9): 1835-1847 (2022) - [j53]Teng Zhang, Jian Tan, Xin Cai, Jianying Wang, Feifei Li, Jianling Sun:
SA-LSM : Optimize Data Layout for LSM-tree Based Storage using Survival Analysis. Proc. VLDB Endow. 15(10): 2161-2174 (2022) - [j52]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:
Operon: An Encrypted Database for Ownership-Preserving Data Management. Proc. VLDB Endow. 15(12): 3332-3345 (2022) - [j51]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:
Tair-PMem: a Fully Durable Non-Volatile Memory Database. Proc. VLDB Endow. 15(12): 3346-3358 (2022) - [j50]Hai Lan, Jiong Xie, Zhifeng Bao, Feifei Li, Wei Tian, Fang Wang, Sheng Wang, Ailin Zhang:
VRE: A Versatile, Robust, and Economical Trajectory Data System. Proc. VLDB Endow. 15(12): 3398-3410 (2022) - [j49]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:
CloudJump: Optimizing Cloud Databases for Cloud Storages. Proc. VLDB Endow. 15(12): 3432-3444 (2022) - [j48]Jiong Xie, Zhen Chen, Jianwei Liu, Fang Wang, Feifei Li, Zhida Chen, Yinpei Liu, Songlu Cai, Zhenhua Fan, Fei Xiao, Yue Chen:
Ganos: A Multidimensional, Dynamic, and Scene-Oriented Cloud-Native Spatial Database Engine. Proc. VLDB Endow. 15(12): 3483-3495 (2022) - [j47]Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang:
HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database. Proc. VLDB Endow. 16(4): 601-614 (2022) - [j46]Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian:
Efficient Oblivious Query Processing for Range and kNN Queries. IEEE Trans. Knowl. Data Eng. 34(12): 5741-5754 (2022) - [c93]Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian:
Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). ICDE 2022: 1487-1488 - [c92]Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen:
A Comparative Study of in-Database Inference Approaches. ICDE 2022: 1794-1807 - [c91]Xinying Yang, Sheng Wang, Feifei Li, Yuan Zhang, Wenyuan Yan, Fangyu Gai, Benquan Yu, Likai Feng, Qun Gao, Yize Li:
Ubiquitous Verification in Centralized Ledger Database. ICDE 2022: 1808-1821 - [c90]Xiaoze Liu, Zheng Yin, Chao Zhao, Congcong Ge, Lu Chen, Yunjun Gao, Dimeng Li, Ziting Wang, Gaozhong Liang, Jian Tan, Feifei Li:
PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases. ICDE 2022: 2549-2561 - [c89]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:
PolarDB-X: An Elastic Distributed Relational Database for Cloud-Native Applications. ICDE 2022: 2859-2872 - [c88]Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li:
Releasing Private Data for Numerical Queries. KDD 2022: 1410-1419 - [c87]Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen:
PreQR: Pre-training Representation for SQL Understanding. SIGMOD Conference 2022: 204-216 - [c86]Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. SIGMOD Conference 2022: 631-645 - [c85]Zhao Chang, Dong Xie, Sheng Wang, Feifei Li:
Towards Practical Oblivious Join. SIGMOD Conference 2022: 803-817 - [c84]Junbin Kang, Le Cai, Feifei Li, Xingxuan Zhou, Wei Cao, Songlu Cai, Daming Shao:
Remus: Efficient Live Migration for Distributed Databases with Snapshot Isolation. SIGMOD Conference 2022: 2232-2245 - [c83]Jiachi Zhang, Shi Cheng, Zhihui Xue, Jianjun Deng, Cuiyun Fu, Wenchao Zhou, Sheng Wang, Changcheng Chen, Feifei Li:
ESDB: Processing Extremely Skewed Workloads in Real-time. SIGMOD Conference 2022: 2286-2298 - [c82]Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen:
A Sampling-based Learning Framework for Big Databases. WWW 2022: 1871-1881 - [i11]Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. CoRR abs/2203.14473 (2022) - [i10]Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui:
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding. CoRR abs/2205.08362 (2022) - 2021
- [j45]Yuanyuan Sun, Sheng Wang, Huorong Li, Feifei Li:
Building Enclave-Native Storage Engines for Practical Encrypted Databases. Proc. VLDB Endow. 14(6): 1019-1032 (2021) - [j44]Baoyue Yan, Xuntao Cheng, Bo Jiang, Shibin Chen, Canfang Shang, Jianying Wang, Kenry Huang, Xinjun Yang, Wei Cao, Feifei Li:
Revisiting the Design of LSM-tree Based OLTP Storage Engine with Persistent Memory. Proc. VLDB Endow. 14(10): 1872-1885 (2021) - [j43]Yingqiang Zhang, Chaoyi Ruan, Cheng Li, Jimmy Yang, Wei Cao, Feifei Li, Bo Wang, Jing Fang, Yuhui Wang, Jingze Huo, Chao Bi:
Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation. Proc. VLDB Endow. 14(10): 1900-1912 (2021) - [j42]Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, Chaoqun Zhan:
Cquirrel: Continuous Query Processing over Acyclic Relational Schemas. Proc. VLDB Endow. 14(12): 2667-2670 (2021) - [j41]Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar:
Database Workload Characterization with Query Plan Encoders. Proc. VLDB Endow. 15(4): 923-935 (2021) - [j40]Debjyoti Paul, Feifei Li, Jeff M. Phillips:
Semantic embedding for regions of interest. VLDB J. 30(3): 311-331 (2021) - [c81]Zihao Zhang, Huiqi Hu, Zhihui Xue, Changcheng Chen, Yang Yu, Cuiyun Fu, Xuan Zhou, Feifei Li:
SLIMSTORE: A Cloud-based Deduplication System for Multi-version Backups. ICDE 2021: 1841-1846 - [c80]Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips:
Constrained Non-Affine Alignment of Embeddings. ICDM 2021: 1403-1408 - [c79]Yuan Qiu, Yilei Wang, Ke Yi, Feifei Li, Bin Wu, Chaoqun Zhan:
Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries. SIGMOD Conference 2021: 1465-1477 - [c78]Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips:
At-the-time and Back-in-time Persistent Sketches. SIGMOD Conference 2021: 1623-1636 - [c77]Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li:
Spatial Independent Range Sampling. SIGMOD Conference 2021: 2023-2035 - [c76]Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, Bin Cui:
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases. SIGMOD Conference 2021: 2102-2114 - [c75]Wenchao Zhou, Yifan Cai, Yanqing Peng, Sheng Wang, Ke Ma, Feifei Li:
VeriDB: An SGX-based Verifiable Database. SIGMOD Conference 2021: 2182-2194 - [c74]Wei Cao, Xiaojie Feng, Boyuan Liang, Tianyu Zhang, Yusong Gao, Yunyang Zhang, Feifei Li:
LogStore: A Cloud-Native and Multi-Tenant Log Database. SIGMOD Conference 2021: 2464-2476 - [c73]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:
PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers. SIGMOD Conference 2021: 2477-2489 - [i9]Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar:
Database Workload Characterization with Query Plan Encoders. CoRR abs/2105.12287 (2021) - [i8]Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. CoRR abs/2110.12654 (2021) - 2020
- [j39]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:
Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases. Proc. VLDB Endow. 13(8): 1176-1189 (2020) - [j38]Lei Yang, Hong Wu, Tieying Zhang, Xuntao Cheng, Feifei Li, Lei Zou, Yujie Wang, Rongyao Chen, Jianying Wang, Gui Huang:
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines. Proc. VLDB Endow. 13(11): 1976-1989 (2020) - [j37]Xinying Yang, Yuan Zhang, Sheng Wang, Benquan Yu, Feifei Li, Yize Li, Wenyuan Yan:
LedgerDB: A Centralized Ledger Database for Universal Audit and Verification. Proc. VLDB Endow. 13(12): 3138-3151 (2020) - [j36]Chuangxian Wei, Bin Wu, Sheng Wang, Renjie Lou, Chaoqun Zhan, Feifei Li, Yuanzhe Cai:
AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data. Proc. VLDB Endow. 13(12): 3152-3165 (2020) - [c72]Teng Zhang, Jianying Wang, Xuntao Cheng, Hao Xu, Nanlong Yu, Gui Huang, Tieying Zhang, Dengcheng He, Feifei Li, Wei Cao, Zhongdong Huang, Jianling Sun:
FPGA-Accelerated Compactions for LSM-based Key-Value Store. FAST 2020: 225-237 - [c71]Jiqiang Chen, Liang Chen, Sheng Wang, Guoyun Zhu, Yuanyuan Sun, Huan Liu, Feifei Li:
HotRing: A Hotspot-Aware In-Memory Key-Value Store. FAST 2020: 239-252 - [c70]Kui Ren, Yu Guo, Jiaqi Li, Xiaohua Jia, Cong Wang, Yajin Zhou, Sheng Wang, Ning Cao, Feifei Li:
HybrIDX: New Hybrid Index for Volume-hiding Range Queries in Data Outsourcing Services. ICDCS 2020: 23-33 - [c69]Xinyang Yu, Yanqing Peng, Feifei Li, Sheng Wang, Xiaowei Shen, Huijun Mai, Yue Xie:
Two-Level Data Compression using Machine Learning in Time Series Database. ICDE 2020: 1333-1344 - [c68]Yanqing Peng, Min Du, Feifei Li, Raymond Cheng, Dawn Song:
FalconDB: Blockchain-based Collaborative Database. SIGMOD Conference 2020: 637-652 - [c67]Wei Cao, Yusong Gao, Feifei Li, Sheng Wang, Bingchen Lin, Ke Xu, Xiaojie Feng, Yucong Wang, Zhenjun Liu, Gejin Zhang:
Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics. SIGMOD Conference 2020: 739-753 - [c66]Zhuoyue Zhao, Feifei Li, Yuxi Liu:
Efficient Join Synopsis Maintenance for Data Warehouse. SIGMOD Conference 2020: 2027-2042
2010 – 2019
- 2019
- [j35]Zhuo Ma, Yang Liu, Ximeng Liu, Jianfeng Ma, Feifei Li:
Privacy-Preserving Outsourced Speech Recognition for Smart IoT Devices. IEEE Internet Things J. 6(5): 8406-8420 (2019) - [j34]Mengqi Zeng, Bin Yao, Zhi-Jie Wang, Yanyan Shen, Feifei Li, Jianfeng Zhang, Hao Lin, Minyi Guo:
CATIRI: An Efficient Method for Content-and-Text Based Image Retrieval. J. Comput. Sci. Technol. 34(2): 287-304 (2019) - [j33]Jian Tan, Tieying Zhang, Feifei Li, Jie Chen, Qixing Zheng, Ping Zhang, Honglin Qiao, Yue Shi, Wei Cao, Rui Zhang:
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases. Proc. VLDB Endow. 12(10): 1221-1234 (2019) - [j32]Chaoqun Zhan, Maomeng Su, Chuangxian Wei, Xiaoqiang Peng, Liang Lin, Sheng Wang, Zhe Chen, Feifei Li, Yue Pan, Fang Zheng, Chengliang Chai:
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud. Proc. VLDB Endow. 12(12): 2059-2070 (2019) - [j31]Feifei Li:
Cloud native database systems at Alibaba: Opportunities and Challenges. Proc. VLDB Endow. 12(12): 2263-2272 (2019) - [j30]Min Du, Feifei Li:
Spell: Online Streaming Parsing of Large Unstructured System Logs. IEEE Trans. Knowl. Data Eng. 31(11): 2213-2227 (2019) - [j29]Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao:
Wander Join and XDB: Online Aggregation via Random Walks. ACM Trans. Database Syst. 44(1): 2:1-2:41 (2019) - [j28]Tao Zhu, Zhuoyue Zhao, Feifei Li, Weining Qian, Aoying Zhou, Dong Xie, Ryan Stutsman, HaiNing Li, Huiqi Hu:
SolarDB: Toward a Shared-Everything Database on Distributed Log-Structured Storage. ACM Trans. Storage 15(2): 11:1-11:26 (2019) - [c65]Tian Zhang, Dong Xie, Feifei Li, Ryan Stutsman:
Narrowing the Gap Between Serverless and its State with Storage Functions. SoCC 2019: 1-12 - [c64]Debjyoti Paul, Yanqing Peng, Feifei Li:
Bursty Event Detection Throughout Histories. ICDE 2019: 1370-1381 - [c63]Richie Frost, Debjyoti Paul, Feifei Li:
AI Pro: Data Processing Framework for AI Models. ICDE 2019: 1980-1983 - [c62]Gui Huang, Xuntao Cheng, Jianying Wang, Yujie Wang, Dengcheng He, Tieying Zhang, Feifei Li, Sheng Wang, Wei Cao, Qiang Li:
X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing. SIGMOD Conference 2019: 651-665 - [c61]Min Du, Robert Christensen, Wei Zhang, Feifei Li:
Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records. WWW 2019: 2687-2693 - [e8]Ilaria Bartolini, Feifei Li:
Proceedings of the VLDB 2019 PhD Workshop, co-located with the 45th International Conference on Very Large Databases (VLDB 2019), Los Angeles, California, USA, August 26-30, 2019. CEUR Workshop Proceedings 2399, CEUR-WS.org 2019 [contents] - [i7]Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li:
Feature Detection and Attenuation in Embeddings. CoRR abs/1910.05862 (2019) - [i6]Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Feifei Li, Guanrong Chen, Qi Xuan:
Adversarial Enhancement for Community Detection in Complex Networks. CoRR abs/1911.01670 (2019) - 2018
- [j27]Kai Zheng, Feifei Li, Kyuseok Shim:
Preface to the special issue on advances in Spatio-temporal data analysis and management. GeoInformatica 22(1): 1-2 (2018) - [c60]Ali Shafiee, Rajeev Balasubramonian, Mohit Tiwari, Feifei Li:
Secure DIMM: Moving ORAM Primitives Closer to Memory. HPCA 2018: 428-440 - [c59]Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. KDD 2018: 1049-1058 - [c58]Yanqing Peng, Jinwei Guo, Feifei Li, Weining Qian, Aoying Zhou:
Persistent Bloom Filter: Membership Testing for the Entire History. SIGMOD Conference 2018: 1037-1052 - [c57]Zhuoyue Zhao, Robert Christensen, Feifei Li, Xiao Hu, Ke Yi:
Random Sampling over Joins Revisited. SIGMOD Conference 2018: 1525-1539 - [c56]Tao Zhu, Zhuoyue Zhao, Feifei Li, Weining Qian, Aoying Zhou, Dong Xie, Ryan Stutsman, HaiNing Li, Huiqi Hu:
Solar: Towards a Shared-Everything Database on Distributed Log-Structured Storage. USENIX ATC 2018: 795-807 - [i5]Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. CoRR abs/1806.01264 (2018) - 2017
- [j26]Dong Xie, Feifei Li, Jeff M. Phillips:
Distributed Trajectory Similarity Search. Proc. VLDB Endow. 10(11): 1478-1489 (2017) - [j25]Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao:
Wander Join and XDB: Online Aggregation via Random Walks. SIGMOD Rec. 46(1): 33-40 (2017) - [j24]Min Du, Feifei Li:
ATOM: Efficient Tracking, Monitoring, and Orchestration of Cloud Resources. IEEE Trans. Parallel Distributed Syst. 28(8): 2172-2189 (2017) - [j23]Kai Zheng, Feifei Li, Kyuseok Shim:
Preface to the special issue on big data search and mining. World Wide Web 20(5): 1047-1048 (2017) - [c55]Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar:
DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. CCS 2017: 1285-1298 - [c54]Debjyoti Paul, Feifei Li, Murali Krishna Teja, Xin Yu, Richie Frost:
Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says! KDD 2017: 1585-1594 - [r2]Feifei Li, Marios Hadjieleftheriou, George Kollios, Dihan Cheng, Shang-Hua Teng:
Trip Planning Queries in Road Network Databases. Encyclopedia of GIS 2017: 2338-2343 - 2016
- [j22]Zhao Chang, Dong Xie, Feifei Li:
Oblivious RAM: A Dissection and Experimental Evaluation. Proc. VLDB Endow. 9(12): 1113-1124 (2016) - [j21]Feifei Li, Ke Yi, Yufei Tao, Bin Yao, Yang Li, Dong Xie, Min Wang:
Exact and approximate flexible aggregate similarity search. VLDB J. 25(3): 317-338 (2016) - [c53]Dong Xie, Feifei Li, Bin Yao, Gefei Li, Zhongpu Chen, Liang Zhou, Minyi Guo:
Simba: spatial in-memory big data analysis. SIGSPATIAL/GIS 2016: 86:1-86:4 - [c52]Min Du, Feifei Li:
Spell: Streaming Parsing of System Event Logs. ICDM 2016: 859-864 - [c51]Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li:
Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration. OSDI 2016: 317-332 - [c50]Zhao Chang, Lei Zou, Feifei Li:
Privacy Preserving Subgraph Matching on Large Graphs in Cloud. SIGMOD Conference 2016: 199-213 - [c49]Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Analytics Through Fine-Grained Parallelism. SIGMOD Conference 2016: 463-478 - [c48]Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao:
Wander Join: Online Aggregation via Random Walks. SIGMOD Conference 2016: 615-629 - [c47]Dong Xie, Feifei Li, Bin Yao, Gefei Li, Liang Zhou, Minyi Guo:
Simba: Efficient In-Memory Spatial Analytics. SIGMOD Conference 2016: 1071-1085 - [c46]Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen:
Matrix Sketching Over Sliding Windows. SIGMOD Conference 2016: 1465-1480 - [c45]Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao:
Wander Join: Online Aggregation for Joins. SIGMOD Conference 2016: 2121-2124 - [e7]Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu:
Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part I. Lecture Notes in Computer Science 9931, Springer 2016, ISBN 978-3-319-45813-7 [contents] - [e6]Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu:
Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part II. Lecture Notes in Computer Science 9932, Springer 2016, ISBN 978-3-319-45816-8 [contents] - 2015
- [j20]Lu Wang, Robert Christensen, Feifei Li, Ke Yi:
Spatial Online Sampling and Aggregation. Proc. VLDB Endow. 9(3): 84-95 (2015) - [c44]Min Du, Feifei Li:
ATOM: Automated tracking, orchestration and monitoring of resource usage in infrastructure as a service systems. IEEE BigData 2015: 271-278 - [c43]Seth H. Pugsley, Arjun Deb, Rajeev Balasubramonian, Feifei Li:
Fixed-function hardware sorting accelerators for near data MapReduce execution. ICCD 2015: 439-442 - [c42]Robert Christensen, Lu Wang, Feifei Li, Ke Yi, Jun Tang, Natalee Villa:
STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data. SIGMOD Conference 2015: 1111-1116 - [c41]Mingwang Tang, Feifei Li, Yufei Tao:
Distributed Online Tracking. SIGMOD Conference 2015: 2047-2061 - 2014
- [j19]Feifei Li, Suman Nath:
Scalable data summarization on big data. Distributed Parallel Databases 32(3): 313-314 (2014) - [j18]Seth H. Pugsley, Jeffrey Jestes, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li:
Comparing Implementations of Near-Data Computing with In-Memory MapReduce Workloads. IEEE Micro 34(4): 44-52 (2014) - [j17]Mina Ghashami, Jeff M. Phillips, Feifei Li:
Continuous Matrix Approximation on Distributed Data. Proc. VLDB Endow. 7(10): 809-820 (2014) - [j16]Wangchao Le, Feifei Li, Anastasios Kementsietsidis, Songyun Duan:
Scalable Keyword Search on Large RDF Data. IEEE Trans. Knowl. Data Eng. 26(11): 2774-2788 (2014) - [j15]Bin Yao, Xiaokui Xiao, Feifei Li, Yifan Wu:
Dynamic monitoring of optimal locations in road network databases. VLDB J. 23(5): 697-720 (2014) - [c40]Seth H. Pugsley, Jeffrey Jestes, Huihui Zhang, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li:
NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. ISPASS 2014: 190-200 - [c39]Mingwang Tang, Feifei Li:
Scalable histograms on large probabilistic data. KDD 2014: 631-640 - [e5]Curtis E. Dyreson, Feifei Li, M. Tamer Özsu:
International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014. ACM 2014, ISBN 978-1-4503-2376-5 [contents] - [e4]Feifei Li, Guoliang Li, Seung-won Hwang, Bin Yao, Zhenjie Zhang:
Web-Age Information Management - 15th International Conference, WAIM 2014, Macau, China, June 16-18, 2014. Proceedings. Lecture Notes in Computer Science 8485, Springer 2014, ISBN 978-3-319-08009-3 [contents] - [i4]Mina Ghashami, Jeff M. Phillips, Feifei Li:
Continuous Matrix Approximation on Distributed Data. CoRR abs/1404.7571 (2014) - 2013
- [j14]Feifei Li, Bin Yao, Mingwang Tang, Marios Hadjieleftheriou:
Spatial Approximate String Search. IEEE Trans. Knowl. Data Eng. 25(6): 1394-1409 (2013) - [c38]Zhao Cao, Shimin Chen, Feifei Li, Min Wang, Xiaoyang Sean Wang:
LogKV: Exploiting Key-Value Stores for Log Processing. CIDR 2013 - [c37]Feifei Li, Xiaofeng Meng, Fusheng Wang, Cong Yu:
CloudDB 2013: fifth international workshop on cloud data management. CIKM 2013: 2549-2550 - [c36]Bin Yao, Feifei Li, Xiaokui Xiao:
Secure nearest neighbor revisited. ICDE 2013: 733-744 - [c35]Wangchao Le, Feifei Li, Yufei Tao, Robert Christensen:
Optimal splitters for temporal and multi-version databases. SIGMOD Conference 2013: 109-120 - [c34]Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li:
Quality and efficiency for kernel density estimates in large data. SIGMOD Conference 2013: 433-444 - [c33]Robert Christensen, Feifei Li:
Adaptive log compression for massive log data. SIGMOD Conference 2013: 1283-1284 - [e3]Xiaofeng Meng, Fusheng Wang, Feifei Li, Cong Yu:
Proceedings of the fifth international workshop on Cloud data management, CloudDB 2013, San Francisco, California, USA, October 28, 2013. ACM 2013, ISBN 978-1-4503-2416-8 [contents] - [e2]Mario A. Nascimento, Mohamed A. Sharaf, Feifei Li, Kyriakos Mouratidis:
Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2013, New York, NY, USA, June 23, 2013. ACM 2013, ISBN 978-1-4503-2197-6 [contents] - [i3]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:
Rethinking Abstractions for Big Data: Why, Where, How, and What. CoRR abs/1306.3295 (2013) - 2012
- [j13]Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang:
Ranking Large Temporal Data. Proc. VLDB Endow. 5(11): 1412-1423 (2012) - [j12]Wangchao Le, Feifei Li:
Query Access Assurance in Outsourced Databases. IEEE Trans. Serv. Comput. 5(2): 178-191 (2012) - [c32]Chi Zhang, Feifei Li, Jeffrey Jestes:
Efficient parallel kNN joins for large data in MapReduce. EDBT 2012: 38-49 - [c31]Xing Lin, Yun Mao, Feifei Li, Robert Ricci:
Towards Fair Sharing of Block Storage in a Multi-tenant Cloud. HotCloud 2012 - [c30]Wangchao Le, Anastasios Kementsietsidis, Songyun Duan, Feifei Li:
Scalable Multi-query Optimization for SPARQL. ICDE 2012: 666-677 - [c29]Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes:
Efficient Threshold Monitoring for Distributed Probabilistic Data. ICDE 2012: 1120-1131 - [c28]Cody Hansen, Feifei Li:
ColumbuScout: towards building local search engines over large databases. SIGMOD Conference 2012: 617-620 - [i2]Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang:
Ranking Large Temporal Data. CoRR abs/1208.0222 (2012) - 2011
- [j11]Jeffrey Jestes, Ke Yi, Feifei Li:
Building Wavelet Histograms on Large Data in MapReduce. Proc. VLDB Endow. 5(2): 109-120 (2011) - [j10]Ke Yi, Xiang Lian, Feifei Li, Lei Chen:
The World in a Nutshell: Concise Range Queries. IEEE Trans. Knowl. Data Eng. 23(1): 139-154 (2011) - [j9]Feifei Li, Bin Yao, Piyush Kumar:
Group Enclosing Queries. IEEE Trans. Knowl. Data Eng. 23(10): 1526-1540 (2011) - [j8]Jeffrey Jestes, Graham Cormode, Feifei Li, Ke Yi:
Semantics of Ranking Queries for Probabilistic Data. IEEE Trans. Knowl. Data Eng. 23(12): 1903-1917 (2011) - [c27]Bin Yao, Mingwang Tang, Feifei Li:
Multi-approximate-keyword routing in GIS data. GIS 2011: 201-210 - [c26]Xiaokui Xiao, Bin Yao, Feifei Li:
Optimal location queries in road network databases. ICDE 2011: 804-815 - [c25]Yang Li, Feifei Li, Ke Yi, Bin Yao, Min Wang:
Flexible aggregate similarity search. SIGMOD Conference 2011: 1009-1020 - [c24]Wangchao Le, Songyun Duan, Anastasios Kementsietsidis, Feifei Li, Min Wang:
Rewriting queries on SPARQL views. WWW 2011: 655-664 - [i1]Jeffrey Jestes, Ke Yi, Feifei Li:
Building Wavelet Histograms on Large Data in MapReduce. CoRR abs/1110.6649 (2011) - 2010
- [j7]Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin:
Authenticated Index Structures for Aggregation Queries. ACM Trans. Inf. Syst. Secur. 13(4): 32:1-32:35 (2010) - [j6]Feifei Li, Ke Yi, Wangchao Le:
Top-k queries on temporal data. VLDB J. 19(5): 715-733 (2010) - [c23]Bin Yao, Feifei Li, Piyush Kumar:
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free. ICDE 2010: 4-15 - [c22]Bin Yao, Feifei Li, Marios Hadjieleftheriou, Kun Hou:
Approximate string search in spatial databases. ICDE 2010: 545-556 - [c21]Jeffrey Jestes, Feifei Li, Zhepeng Yan, Ke Yi:
Probabilistic string similarity joins. SIGMOD Conference 2010: 327-338 - [c20]Yufei Tao, Ke Yi, Cheng Sheng, Jian Pei, Feifei Li:
Logging every footstep: quantile summaries for the entire history. SIGMOD Conference 2010: 639-650 - [e1]Feifei Li, Mirella M. Moro, Shahram Ghandeharizadeh, Jayant R. Haritsa, Gerhard Weikum, Michael J. Carey, Fabio Casati, Edward Y. Chang, Ioana Manolescu, Sharad Mehrotra, Umeshwar Dayal, Vassilis J. Tsotras:
Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA. IEEE Computer Society 2010, ISBN 978-1-4244-5444-0 [contents]
2000 – 2009
- 2009
- [j5]Jeffrey Considine, Marios Hadjieleftheriou, Feifei Li, John W. Byers, George Kollios:
Robust approximate aggregation in sensor data management systems. ACM Trans. Database Syst. 34(1): 6:1-6:35 (2009) - [j4]Ke Yi, Feifei Li, Graham Cormode, Marios Hadjieleftheriou, George Kollios, Divesh Srivastava:
Small synopses for group-by query verification on outsourced data streams. ACM Trans. Database Syst. 34(3): 15:1-15:42 (2009) - [c19]Graham Cormode, Feifei Li, Ke Yi:
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks. ICDE 2009: 305-316 - [c18]David B. Lomet, Feifei Li:
Improving Transaction-Time DBMS Performance and Functionality. ICDE 2009: 581-591 - [c17]Bin Yao, Feifei Li, Piyush Kumar:
Reverse Furthest Neighbors in Spatial Databases. ICDE 2009: 664-675 - [c16]Ke Yi, Xiang Lian, Feifei Li, Lei Chen:
A Concise Representation of Range Queries. ICDE 2009: 1179-1182 - [c15]Feifei Li, Ke Yi, Jeffrey Jestes:
Ranking distributed probabilistic data. SIGMOD Conference 2009: 361-374 - 2008
- [j3]Ke Yi, Feifei Li, George Kollios, Divesh Srivastava:
Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations. IEEE Trans. Knowl. Data Eng. 20(12): 1669-1682 (2008) - [c14]Ke Yi, Feifei Li, Marios Hadjieleftheriou, George Kollios, Divesh Srivastava:
Randomized Synopses for Query Assurance on Data Streams. ICDE 2008: 416-425 - [c13]Ke Yi, Feifei Li, George Kollios, Divesh Srivastava:
Efficient Processing of Top-k Queries in Uncertain Databases. ICDE 2008: 1406-1408 - [c12]Qin Zhang, Feifei Li, Ke Yi:
Finding frequent items in probabilistic data. SIGMOD Conference 2008: 819-832 - [p1]Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin:
Authenticated Index Structures for Outsourced Databases. Handbook of Database Security 2008: 115-136 - [r1]Feifei Li, Marios Hadjieleftheriou, George Kollios, Dihan Cheng, Shang-Hua Teng:
Trip Planning Queries in Road Network Databases. Encyclopedia of GIS 2008: 1176-1181 - 2007
- [c11]Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi:
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking. ICDE 2007: 686-695 - [c10]Feifei Li, Ke Yi, Marios Hadjieleftheriou, George Kollios:
Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams. VLDB 2007: 147-158 - [c9]Spiros Papadimitriou, Feifei Li, George Kollios, Philip S. Yu:
Time Series Compressibility and Privacy. VLDB 2007: 459-470 - 2006
- [c8]Feifei Li, Ching Chang, George Kollios, Azer Bestavros:
Characterizing and Exploiting Reference Locality in Data Stream Applications. ICDE 2006: 81 - [c7]Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin:
Dynamic authenticated index structures for outsourced databases. SIGMOD Conference 2006: 121-132 - 2005
- [j2]George Kollios, John W. Byers, Jeffrey Considine, Marios Hadjieleftheriou, Feifei Li:
Robust Aggregation in Sensor Networks. IEEE Data Eng. Bull. 28(1): 26-32 (2005) - [c6]Feifei Li, Dihan Cheng, Marios Hadjieleftheriou, George Kollios, Shang-Hua Teng:
On Trip Planning Queries in Spatial Databases. SSTD 2005: 273-290 - 2004
- [j1]Zehua Liu, Wee Keong Ng, Ee-Peng Lim, Feifei Li:
Towards building logical views of websites. Data Knowl. Eng. 49(2): 197-222 (2004) - [c5]Yufei Tao, George Kollios, Jeffrey Considine, Feifei Li, Dimitris Papadias:
Spatio-Temporal Aggregation Using Sketches. ICDE 2004: 214-225 - [c4]Jeffrey Considine, Feifei Li, George Kollios, John W. Byers:
Approximate Aggregation Techniques for Sensor Databases. ICDE 2004: 449-460 - 2002
- [c3]Zehua Liu, Feifei Li, Wee Keong Ng:
Wiccap Data Model: Mapping Physical Websites to Logical Views. ER 2002: 120-134 - [c2]Zehua Liu, Wee Keong Ng, Feifei Li, Ee-Peng Lim:
A visual tool for building logical data models of websites. WIDM 2002: 92-95 - 2001
- [c1]Feifei Li, Zehua Liu, Yangfeng Huang, Wee Keong Ng:
An Information Concierge for the Web. DEXA Workshop 2001: 672-676
Coauthor Index
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