Feifei Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
132
Venues
36
Active years
2002–2026
Best venue rank
A*
Where they publish
- A*SIGMOD46 papers
- A*ICDE35 papers
- A*KDD4 papers
- AFAST3 papers
- A*ASPLOS3 papers
- A*WWW3 papers
- A*AAAI2 papers
- A*ACL2 papers
- A*ICML2 papers
- BCLOUD2 papers
- A*OSDI2 papers
- A*ICDM2 papers
- CADMA2 papers
- A*VLDB2 papers
- BICPR1 paper
- A*CVPR1 paper
- A*ICRA1 paper
- NationalICIG1 paper
- AUAI1 paper
- AICDCS1 paper
- CISCAS1 paper
- CAPWEB1 paper
- BDASFAA1 paper
- A*HPCA1 paper
- AUSENIX1 paper
- A*CCS1 paper
- CICCD1 paper
- BISPASS1 paper
- ACIDR1 paper
- ACIKM1 paper
- BCogSci1 paper
- BEDBT1 paper
- NationalICNC1 paper
- BGLOBECOM1 paper
- CKSEM1 paper
- AER1 paper
Papers
132 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse. | Yiming Sun, Mi Zhang, Feifei Li, Geng Hong, Min Yang |
| 2026 | ACL | One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts. | Xingyu Fan, Feifei Li, Wenhui Que, Hailong Li |
| 2026 | FAST | PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases. | Qingda Hu, Xinjun Yang, Feifei Li, Junru Li, Ya Lin, Yuqi Zhou, Yicong Zhu, Junwei Zhang, Rongbiao Xie, Ling Zhou, Bin Wu, Wenchao Zhou |
| 2026 | ICDE | Representative Functional Dependencies. | Qiongqiong Lin, Jingyan Sai, Jiazheng Song, Jinfei Liu, Kui Ren, Tianzhen Wang, Yanbei Pang, Feifei Li |
| 2026 | ICDE | CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG. | Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li |
| 2026 | ICPR | HiMeS: Hippocampus-Inspired Memory System for Personalized AI Assistants. | Hailong Li, Feifei Li, Wenhui Que, Xingyu Fan |
| 2026 | SIGMOD | CloudJump III: Optimizing Cloud Databases for Tiered Storage. | Zongzhi Chen, Mo Sha, Feifei Li, Sheng Wang, Baolin Huang, Guoqing Ma, Huaxiong Song, Ke Yu, Xizhe Zhang, Yuan Wang |
| 2026 | SIGMOD | LindormVector: A Distributed Vector Engine on a Cloud-Native Multi-Model NoSQL Database. | Yan Wang, Jian Zhou, Sai Huang, Chao Dou, Hanwen Tian, Zhijie Jiang, Zongning Zhang, Xiaoqi Li, Zhencan Peng, Chunhui Shen, Wei Zhang, Feifei Li, Dong Deng |
| 2026 | SIGMOD | SQLens: Continuous Code-to-SQL Visibility in the Wild. | Xiao Yang, Mo Sha, Yiran Li, Suyang Zhong, Sheng Wang, Fangyuan Zhou, Feifei Li |
| 2026 | SIGMOD | LakeMem: An Elastic Disaggregated-Memory Caching Layer for Analytical Processing Systems. | Xinyi Yu, Yingqiang Zhang, Hao Chen, Zhaoxiang Huang, Xinjun Yang, Feifei Li, Chuan Sun, Jing Geng, Jiong Xie, Ninglong Weng, Yiming Zhang |
| 2025 | CVPR | Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization. | Feifei Li, Mi Zhang, Yiming Sun, Min Yang |
| 2025 | ICDE | Generalized Measure-Biased Sampling and Priority Sampling: (Extended Abstract). | Zhao Chang, Feifei Li, Yulong Shen |
| 2025 | ICDE | MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling. | Yang Wu, Xuanhe Zhou, Xiaoguang Li, Jinhuai Kang, Chunxiao Xing, Tongliang Li, Xinjun Yang, Wenchao Zhou, Feifei Li, Yong Zhang |
| 2025 | ICML | InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory. | Feifei Li, Mi Zhang, Zhaoxiang Wang, Min Yang |
| 2025 | SIGMOD | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB. | Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Yuhao Li, Zhencan Peng, Lan Lu, Wenchao Zhou, Liang Lin, Feifei Li |
| 2025 | SIGMOD | CloudJump II: Optimizing Cloud Databases for Shared Storage. | Zongzhi Chen, Xinjun Yang, Mo Sha, Feifei Li, Kang Wang, Zheyu Miao, Jie Xu, Jianfeng Wang, Sheng Wang |
| 2025 | SIGMOD | Eigen+: Memory Over-Subscription for Alibaba Cloud Databases. | Ji You Li, Jiachi Zhang, Yuhang Liu, Wenchao Zhou, Xin Zhou, Fangyuan Zhou, Feifei Li |
| 2025 | SIGMOD | Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases. | Xinjun Yang, Yingqiang Zhang, Hao Chen, Feifei Li, Gerry Fan, Yang Kong, Bo Wang, Jing Fang, Yuhui Wang, Tao Huang, Wenpu Hu, Jim Kao, Jianping Jiang |
| 2024 | ASPLOS | Salus: A Practical Trusted Execution Environment for CPU-FPGA Heterogeneous Cloud Platforms. | Yu Zou, Yiran Li, Sheng Wang, Le Su, Zhen Gu, Yanheng Lu, Yijin Guan, Dimin Niu, Mingyu Gao, Yuan Xie, Feifei Li |
| 2024 | CLOUD | Occam's Razor for Distributed Protocols. | Ziliang Lai, Fan Cui, Hua Fan, Eric Lo, Wenchao Zhou, Feifei Li |
| 2024 | ICDE | Efficient Reverse k Approximate Nearest Neighbor Search Over High-Dimensional Vectors. | Yitong Song, Kai Wang, Bin Yao, Zhida Chen, Jiong Xie, Feifei Li |
| 2024 | ICDE | Bw | Rui Wang, Xinjun Yang, Feifei Li, David B. Lomet, Xin Liu, Panfeng Zhou, Yongxiang Chen, David Zhang, Jingren Zhou, Jiesheng Wu |
| 2024 | ICDE | Towards a Shared-Storage-Based Serverless Database Achieving Seamless Scale-Up and Read Scale-Out. | Yingqiang Zhang, Xinjun Yang, Hao Chen, Feifei Li, Jiawei Xu, Jie Zhou, Xudong Wu, Qiang Zhang |
| 2024 | ICML | PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation. | Han Fu, Jian Tan, Pinhan Zhang, Feifei Li, Jianling Sun |
| 2024 | ICRA | Incremental 3D Reconstruction through a Hybrid Explicit-and-Implicit Representation. | Feifei Li, Panwen Hu, Qi Song, Rui Huang |
| 2024 | SIGMOD | Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB. | Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Wenchao Zhou, Liang Lin, Feifei Li |
| 2024 | SIGMOD | PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory. | Xinjun Yang, Yingqiang Zhang, Hao Chen, Feifei Li, Bo Wang, Jing Fang, Chuan Sun, Yuhui Wang |
| 2023 | ACL | TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. | Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan |
| 2023 | ASPLOS | ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices. | Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li |
| 2023 | ASPLOS | 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 |
| 2023 | ICDE | 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 |
| 2023 | ICDE | 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 |
| 2023 | ICDE | 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 |
| 2023 | ICIG | Synthesizing a Large Scene with Multiple NeRFs. | Shenglong Ye, Feifei Li, Rui Huang |
| 2023 | OSDI | 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 |
| 2023 | UAI | A Bayesian approach for bandit online optimization with switching cost. | Zai Shi, Jian Tan, Feifei Li |
| 2022 | ICDE | 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 |
| 2022 | ICDE | Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). | Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian |
| 2022 | ICDE | A Comparative Study of in-Database Inference Approaches. | Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen |
| 2022 | ICDE | 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 |
| 2022 | ICDE | 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 |
| 2022 | KDD | Releasing Private Data for Numerical Queries. | Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li |
| 2022 | WWW | A Sampling-based Learning Framework for Big Databases. | Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen |
| 2022 | SIGMOD | Towards Practical Oblivious Join. | Zhao Chang, Dong Xie, Sheng Wang, Feifei Li |
| 2022 | SIGMOD | Remus: Efficient Live Migration for Distributed Databases with Snapshot Isolation. | Junbin Kang, Le Cai, Feifei Li, Xingxuan Zhou, Wei Cao, Songlu Cai, Daming Shao |
| 2022 | SIGMOD | PreQR: Pre-training Representation for SQL Understanding. | Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen |
| 2022 | SIGMOD | 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 |
| 2022 | SIGMOD | Towards Dynamic and Safe Configuration Tuning for Cloud Databases. | Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui |
| 2021 | ICDE | 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 |
| 2021 | ICDM | 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 |
| 2021 | SIGMOD | Spatial Independent Range Sampling. | Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li |
| 2021 | SIGMOD | LogStore: A Cloud-Native and Multi-Tenant Log Database. | Wei Cao, Xiaojie Feng, Boyuan Liang, Tianyu Zhang, Yusong Gao, Yunyang Zhang, Feifei Li |
| 2021 | SIGMOD | 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 |
| 2021 | SIGMOD | Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries. | Yuan Qiu, Yilei Wang, Ke Yi, Feifei Li, Bin Wu, Chaoqun Zhan |
| 2021 | SIGMOD | At-the-time and Back-in-time Persistent Sketches. | Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips |
| 2021 | SIGMOD | 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 |
| 2021 | SIGMOD | VeriDB: An SGX-based Verifiable Database. | Wenchao Zhou, Yifan Cai, Yanqing Peng, Sheng Wang, Ke Ma, Feifei Li |
| 2020 | FAST | HotRing: A Hotspot-Aware In-Memory Key-Value Store. | Jiqiang Chen, Liang Chen, Sheng Wang, Guoyun Zhu, Yuanyuan Sun, Huan Liu, Feifei Li |
| 2020 | FAST | 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 |
| 2020 | ICDCS | 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 |
| 2020 | ICDE | 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 |
| 2020 | ISCAS | DSCR-Net: A Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing. | Ziyang Zheng, Shanghong Wang, Shaohui Li, Wenrui Dai, Junni Zou, Feifei Li, Hongkai Xiong |
| 2020 | SIGMOD | 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 |
| 2020 | SIGMOD | FalconDB: Blockchain-based Collaborative Database. | Yanqing Peng, Min Du, Feifei Li, Raymond Cheng, Dawn Song |
| 2020 | SIGMOD | Efficient Join Synopsis Maintenance for Data Warehouse. | Zhuoyue Zhao, Feifei Li, Yuxi Liu |
| 2019 | CLOUD | Narrowing the Gap Between Serverless and its State with Storage Functions. | Tian Zhang, Dong Xie, Feifei Li, Ryan Stutsman |
| 2019 | ICDE | AI Pro: Data Processing Framework for AI Models. | Richie Frost, Debjyoti Paul, Feifei Li |
| 2019 | ICDE | Bursty Event Detection Throughout Histories. | Debjyoti Paul, Yanqing Peng, Feifei Li |
| 2019 | WWW | Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records. | Min Du, Robert Christensen, Wei Zhang, Feifei Li |
| 2019 | SIGMOD | 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 |
| 2018 | APWEB | Attentive and Collaborative Deep Learning for Recommendation. | Feifei Li, Hongyan Liu, Jun He, Xiaoyong Du |
| 2018 | DASFAA | Exploiting Instance Relationship for Effective Extreme Multi-label Learning. | Feifei Li, Hongyan Liu, Jun He, Xiaoyong Du |
| 2018 | HPCA | Secure DIMM: Moving ORAM Primitives Closer to Memory. | Ali Shafiee, Rajeev Balasubramonian, Mohit Tiwari, Feifei Li |
| 2018 | KDD | OpenTag: Open Attribute Value Extraction from Product Profiles. | Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li |
| 2018 | SIGMOD | Persistent Bloom Filter: Membership Testing for the Entire History. | Yanqing Peng, Jinwei Guo, Feifei Li, Weining Qian, Aoying Zhou |
| 2018 | SIGMOD | Random Sampling over Joins Revisited. | Zhuoyue Zhao, Robert Christensen, Feifei Li, Xiao Hu, Ke Yi |
| 2018 | USENIX | 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 |
| 2017 | CCS | DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. | Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar |
| 2017 | KDD | Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says! | Debjyoti Paul, Feifei Li, Murali Krishna Teja, Xin Yu, Richie Frost |
| 2016 | AAAI | A Novel Method for Mining Semantics from Patterns over ECG Data. | Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li |
| 2016 | ICDM | Spell: Streaming Parsing of System Event Logs. | Min Du, Feifei Li |
| 2016 | OSDI | Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration. | Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li |
| 2016 | SIGMOD | Wander Join: Online Aggregation via Random Walks. | Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao |
| 2016 | SIGMOD | Privacy Preserving Subgraph Matching on Large Graphs in Cloud. | Zhao Chang, Lei Zou, Feifei Li |
| 2016 | SIGMOD | Wander Join: Online Aggregation for Joins. | Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao |
| 2016 | SIGMOD | Graph Analytics Through Fine-Grained Parallelism. | Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng |
| 2016 | SIGMOD | Matrix Sketching Over Sliding Windows. | Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen |
| 2016 | SIGMOD | Simba: Efficient In-Memory Spatial Analytics. | Dong Xie, Feifei Li, Bin Yao, Gefei Li, Liang Zhou, Minyi Guo |
| 2015 | ICCD | Fixed-function hardware sorting accelerators for near data MapReduce execution. | Seth H. Pugsley, Arjun Deb, Rajeev Balasubramonian, Feifei Li |
| 2015 | SIGMOD | STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data. | Robert Christensen, Lu Wang, Feifei Li, Ke Yi, Jun Tang, Natalee Villa |
| 2015 | SIGMOD | Distributed Online Tracking. | Mingwang Tang, Feifei Li, Yufei Tao |
| 2014 | ISPASS | 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 |
| 2014 | KDD | Scalable histograms on large probabilistic data. | Mingwang Tang, Feifei Li |
| 2013 | CIDR | LogKV: Exploiting Key-Value Stores for Log Processing. | Zhao Cao, Shimin Chen, Feifei Li, Min Wang, Xiaoyang Sean Wang |
| 2013 | CIKM | CloudDB 2013: fifth international workshop on cloud data management. | Feifei Li, Xiaofeng Meng, Fusheng Wang, Cong Yu |
| 2013 | CogSci | Implicit Learning Out of the Lab: Language and Music. | Patrick Rebuschat, Martin Rohrmeier, Morten H. Christiansen, Zoltan Dienes, Daniele Schn, Jennifer Misyak, Clment Franois, Xiuyan Guo, Feifei Li, Richard Widdess |
| 2013 | ICDE | Secure nearest neighbor revisited. | Bin Yao, Feifei Li, Xiaokui Xiao |
| 2013 | SIGMOD | Adaptive log compression for massive log data. | Robert Christensen, Feifei Li |
| 2013 | SIGMOD | Optimal splitters for temporal and multi-version databases. | Wangchao Le, Feifei Li, Yufei Tao, Robert Christensen |
| 2013 | SIGMOD | Quality and efficiency for kernel density estimates in large data. | Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li |
| 2012 | ADMA | PCG: An Efficient Method for Composite Pattern Matching over Data Streams. | Cheng Ju, Hongyan Li, Feifei Li |
| 2012 | ADMA | VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams. | Yan Tang, Hongyan Li, Feifei Li, Gaoshan Miao |
| 2012 | EDBT | Efficient parallel kNN joins for large data in MapReduce. | Chi Zhang, Feifei Li, Jeffrey Jestes |
| 2012 | ICDE | Scalable Multi-query Optimization for SPARQL. | Wangchao Le, Anastasios Kementsietsidis, Songyun Duan, Feifei Li |
| 2012 | ICDE | Efficient Threshold Monitoring for Distributed Probabilistic Data. | Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes |
| 2012 | SIGMOD | ColumbuScout: towards building local search engines over large databases. | Cody Hansen, Feifei Li |
| 2011 | ICDE | Optimal location queries in road network databases. | Xiaokui Xiao, Bin Yao, Feifei Li |
| 2011 | WWW | Rewriting queries on SPARQL views. | Wangchao Le, Songyun Duan, Anastasios Kementsietsidis, Feifei Li, Min Wang |
| 2011 | SIGMOD | Flexible aggregate similarity search. | Yang Li, Feifei Li, Ke Yi, Bin Yao, Min Wang |
| 2010 | ICDE | Approximate string search in spatial databases. | Bin Yao, Feifei Li, Marios Hadjieleftheriou, Kun Hou |
| 2010 | ICDE | K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free. | Bin Yao, Feifei Li, Piyush Kumar |
| 2010 | SIGMOD | Probabilistic string similarity joins. | Jeffrey Jestes, Feifei Li, Zhepeng Yan, Ke Yi |
| 2010 | SIGMOD | Logging every footstep: quantile summaries for the entire history. | Yufei Tao, Ke Yi, Cheng Sheng, Jian Pei, Feifei Li |
| 2009 | ICDE | Semantics of Ranking Queries for Probabilistic Data and Expected Ranks. | Graham Cormode, Feifei Li, Ke Yi |
| 2009 | ICDE | Improving Transaction-Time DBMS Performance and Functionality. | David B. Lomet, Feifei Li |
| 2009 | ICDE | Reverse Furthest Neighbors in Spatial Databases. | Bin Yao, Feifei Li, Piyush Kumar |
| 2009 | ICDE | A Concise Representation of Range Queries. | Ke Yi, Xiang Lian, Feifei Li, Lei Chen |
| 2009 | SIGMOD | Ranking distributed probabilistic data. | Feifei Li, Ke Yi, Jeffrey Jestes |
| 2008 | ICDE | Randomized Synopses for Query Assurance on Data Streams. | Ke Yi, Feifei Li, Marios Hadjieleftheriou, George Kollios, Divesh Srivastava |
| 2008 | ICDE | Efficient Processing of Top-k Queries in Uncertain Databases. | Ke Yi, Feifei Li, George Kollios, Divesh Srivastava |
| 2008 | SIGMOD | Finding frequent items in probabilistic data. | Qin Zhang, Feifei Li, Ke Yi |
| 2007 | ICDE | Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking. | Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi |
| 2007 | ICNC | An Improved Multi-particle Swarm Co-evolution Algorithm. | Kun Yao, Feifei Li, Xiyu Liu |
| 2007 | VLDB | Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams. | Feifei Li, Ke Yi, Marios Hadjieleftheriou, George Kollios |
| 2007 | VLDB | Time Series Compressibility and Privacy. | Spiros Papadimitriou, Feifei Li, George Kollios, Philip S. Yu |
| 2006 | GLOBECOM | A Low-complexity Adaptive Subcarrier, Bit, and Power Allocation Algorithm for OFDMA Systems. | Long Gao, Shuguang Cui, Feifei Li |
| 2006 | ICDE | Characterizing and Exploiting Reference Locality in Data Stream Applications. | Feifei Li, Ching Chang, George Kollios, Azer Bestavros |
| 2006 | KSEM | A Method for Evaluating the Knowledge Transfer Ability in Organization. | Tian-Hui You, Feifei Li, Zhu-Chao Yu |
| 2006 | SIGMOD | Dynamic authenticated index structures for outsourced databases. | Feifei Li, Marios Hadjieleftheriou, George Kollios, Leonid Reyzin |
| 2004 | ICDE | Approximate Aggregation Techniques for Sensor Databases. | Jeffrey Considine, Feifei Li, George Kollios, John W. Byers |
| 2004 | ICDE | Spatio-Temporal Aggregation Using Sketches. | Yufei Tao, George Kollios, Jeffrey Considine, Feifei Li, Dimitris Papadias |
| 2002 | ER | Wiccap Data Model: Mapping Physical Websites to Logical Views. | Zehua Liu, Feifei Li, Wee Keong Ng |