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2020 – today
- 2024
[j50]Hong Lin, Lidan Shou
, Ke Chen, Gang Chen, Sai Wu:
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. Data Sci. Eng. 9(2): 204-219 (2024)- [j49]Yanchao Xu, Dongxiang Zhang, Shuhao Zhang, Sai Wu, Zexu Feng, Gang Chen:
Predictive and Near-Optimal Sampling for View Materialization in Video Databases. Proc. ACM Manag. Data 2(1): 19:1-19:27 (2024) - [j48]Sai Wu, Meng Shi, Dongxiang Zhang, Junbo Zhao, Gongsheng Yuan, Gang Chen:
When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing. IEEE Trans. Knowl. Data Eng. 36(12): 9532-9546 (2024) - [c65]Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen:
Sampling-Resilient Multi-Object Tracking. AAAI 2024: 3297-3305 - [c64]Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu:
In Situ Neural Relational Schema Matcher. ICDE 2024: 138-150 - [c63]Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao:
Towards Cross-Table Masked Pretraining for Web Data Mining. WWW 2024: 4449-4459 - [i21]Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. CoRR abs/2403.04146 (2024) - [i20]Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen:
Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR abs/2403.06382 (2024) - [i19]ZhengZhao Feng, Rui Wang, TianXing Wang, Mingli Song, Sai Wu, Shuibing He:
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges. CoRR abs/2405.00476 (2024) - [i18]Gongsheng Yuan, Yuxing Chen, Jiaheng Lu, Sai Wu, Zhiwei Ye, Ling Qian, Gang Chen:
Quantum Computing for Databases: Overview and Challenges. CoRR abs/2405.12511 (2024) - [i17]Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang:
Revisiting CNNs for Trajectory Similarity Learning. CoRR abs/2405.19761 (2024) - 2023
- [j47]Kuang Mao, Sai Wu, Jiajia He, Haichao Huang, Yanlong Yin, Zujie Ren:
Textile pattern recommendations with convolutional neural networks and autoencoder. Concurr. Comput. Pract. Exp. 35(18) (2023) - [j46]Gongsheng Yuan, Jiaheng Lu, Zhengtong Yan, Sai Wu:
A Survey on Mapping Semi-Structured Data and Graph Data to Relational Data. ACM Comput. Surv. 55(10): 218:1-218:38 (2023) - [j45]Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen:
Distributional constraint discovery for intelligent auditing. Knowl. Inf. Syst. 65(12): 5195-5229 (2023) - [j44]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) - [j43]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) - [j42]Ziyang Xiao, Dongxiang Zhang, Zepeng Li, Sai Wu, Kian-Lee Tan, Gang Chen:
DoveDB: A Declarative and Low-Latency Video Database. Proc. VLDB Endow. 16(12): 3906-3909 (2023) - [j41]Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, Gang Chen:
A Demonstration of DLBD: Database Logic Bug Detection System. Proc. VLDB Endow. 16(12): 3914-3917 (2023) - [j40]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) - [c62]Sai Wu, Zhiyin Huang, Hao Feng:
Text Labels Classification Model based on BERT Algorithm. ICBASE 2023: 329-332 - [c61]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. ICCV 2023: 6102-6112 - [c60]Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao:
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. ICLR 2023 - [c59]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML 2023: 21404-21425 - [c58]Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao:
Towards Controlled Data Augmentations for Active Learning. ICML 2023: 39524-39542 - [c57]Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen:
Quantum Computing for Databases: A Short Survey and Vision. VLDB Workshops 2023 - [i16]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR abs/2302.06079 (2023) - [i15]Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao:
Controllable Textual Inversion for Personalized Text-to-Image Generation. CoRR abs/2304.05265 (2023) - [i14]Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng Chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao:
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility. CoRR abs/2305.10235 (2023) - [i13]Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao:
CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training. CoRR abs/2307.04308 (2023) - [i12]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. CoRR abs/2309.11013 (2023) - 2022
- [j39]Sai Wu, Ying Li, Haoqi Zhu, Junbo Zhao, Gang Chen:
Dynamic Index Construction with Deep Reinforcement Learning. Data Sci. Eng. 7(2): 87-101 (2022) - [j38]Zhifei Pang, Sai Wu, Gang Chen, Lidan Shou, Ke Chen, Bingsheng He:
A Stack-Centric Processing Model for Iterative Processing. IEEE Trans. Big Data 8(2): 318-331 (2022) - [j37]Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen:
Continuous Trajectory Similarity Search for Online Outlier Detection. IEEE Trans. Knowl. Data Eng. 34(10): 4690-4704 (2022) - [c56]Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. AAAI 2022: 616-624 - [c55]Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao:
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. ACL (Findings) 2022: 20-30 - [c54]Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen:
Continuous Trajectory Similarity Search for Online Outlier Detection (Extended Abstract). ICDE 2022: 1501-1502 - [c53]Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen:
A Comparative Study of in-Database Inference Approaches. ICDE 2022: 1794-1807 - [c52]Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang:
Comparison Knowledge Translation for Generalizable Image Classification. IJCAI 2022: 2966-2972 - [c51]Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen:
IceBerg: Deep Generative Modeling for Constraint Discovery and Anomaly Detection. ISPA/BDCloud/SocialCom/SustainCom 2022: 74-81 - [c50]Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen:
PreQR: Pre-training Representation for SQL Understanding. SIGMOD Conference 2022: 204-216 - [c49]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]Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao:
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. CoRR abs/2203.07090 (2022) - [i10]Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang:
Comparison Knowledge Translation for Generalizable Image Classification. CoRR abs/2205.03633 (2022) - 2021
- [j36]Zhi Li, Jiye Wang, Yang Wang, Sachula Meng, Sai Wu, Huixia Ding, Zhihui Wang:
Trade-off analysis between delay and throughput of RAN slicing for smart grid. Comput. Commun. 180: 21-30 (2021) - [j35]Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen:
BERT-JAM: Maximizing the utilization of BERT for neural machine translation. Neurocomputing 460: 84-94 (2021) - [j34]Zhifei Pang, Sai Wu, Haichao Huang, Zhouzhenyan Hong, Yuqing Xie:
AQUA+: Query Optimization for Hybrid Database-MapReduce System. Knowl. Inf. Syst. 63(4): 905-938 (2021) - [j33]Sai Wu, Zhifei Pang, Gang Chen, Yunjun Gao, Cenjiong Zhao, Shili Xiang:
NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries. IEEE Trans. Knowl. Data Eng. 33(4): 1659-1673 (2021) - [c48]Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen:
Effective Slot Filling via Weakly-Supervised Dual-Model Learning. AAAI 2021: 13952-13960 - [c47]Xiaxia Wang, Sai Wu, Lidan Shou, Ke Chen:
An Interactive NL2SQL Approach with Reuse Strategy. DASFAA (2) 2021: 280-288 - [c46]Xiu Tang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou:
Learning to Label with Active Learning and Reinforcement Learning. DASFAA (2) 2021: 549-557 - [c45]Xiu Tang, Sai Wu, Gang Chen, Jinyang Gao, Wei Cao, Zhifei Pang:
A Learning to Tune Framework for LSH. ICDE 2021: 2201-2206 - [c44]Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen:
Joining datasets via data augmentation in the label space for neural networks. ICML 2021: 12686-12696 - [c43]Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu:
Metric Learning via Penalized Optimization. KDD 2021: 656-664 - [i9]Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, Jake Zhao:
A critical look at the current train/test split in machine learning. CoRR abs/2106.04525 (2021) - [i8]Jake Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen:
Joining datasets via data augmentation in the label space for neural networks. CoRR abs/2106.09260 (2021) - [i7]Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. CoRR abs/2112.04934 (2021) - 2020
- [j32]Jingtian Zhang, Lidan Shou, Sai Wu, Gang Chen, Ke Chen:
A two-phase approach for unexpected pattern mining. Expert Syst. Appl. 141 (2020) - [c42]Yuhang Deng, Hao Huang, Xu Chen, Zuopeng Liu, Sai Wu, Jifeng Xuan, Zongpeng Li:
From Code to Natural Language: Type-Aware Sketch-Based Seq2Seq Learning. DASFAA (1) 2020: 352-368 - [c41]Zhebin Zhang, Sai Wu, Gang Chen, Dawei Jiang:
Self-Attention and Dynamic Convolution Hybrid Model for Neural Machine Translation. ICKG 2020: 352-359 - [c40]Sai Wu, Zhihui Wang, Zhe Li, Zheng WeiJun, Weiping Shao, Baojuan Ma, Shunyu Yao, Ying Wang:
Uplink Resource Allocation Based on Short Block-Length Regime in Heterogeneous Cellular Networks for Smart Grid. IMIS 2020: 213-224 - [c39]Wentao Hu, Dongxiang Zhang, Dawei Jiang, Sai Wu, Ke Chen, Kian-Lee Tan, Gang Chen:
AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases. SIGMOD Conference 2020: 2697-2700 - [c38]Dongxiang Zhang, Yuyang Nie, Sai Wu, Yanyan Shen, Kian-Lee Tan:
Multi-Context Attention for Entity Matching. WWW 2020: 2634-2640 - [i6]Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen:
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention. CoRR abs/2011.04266 (2020) - [i5]Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
LINDT: Tackling Negative Federated Learning with Local Adaptation. CoRR abs/2011.11160 (2020)
2010 – 2019
- 2019
- [j31]Dongxiang Zhang, Rui Cao, Sai Wu:
Information fusion in visual question answering: A Survey. Inf. Fusion 52: 268-280 (2019) - [j30]Jingtian Zhang, Sai Wu, Zeyuan Tan, Gang Chen, Zhushi Cheng, Wei Cao, Yusong Gao, Xiaojie Feng:
S3: A Scalable In-memory Skip-List Index for Key-Value Store. Proc. VLDB Endow. 12(12): 2183-2194 (2019) - [j29]Zunlei Feng, Zhenyun Yu, Yongcheng Jing, Sai Wu, Mingli Song, Yezhou Yang, Junxiao Jiang:
Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 61:1-61:20 (2019) - [c37]Zhifei Pang, Sai Wu, Dongxiang Zhang, Yunjun Gao, Gang Chen:
NAD: Neural Network Aided Design for Textile Pattern Generation. CIKM 2019: 2081-2084 - [c36]Sachula Meng, Zhihui Wang, Huixia Ding, Sai Wu, Xuan Li, Peng Zhao, Chunying Zhu, Xue Wang:
RAN Slice Strategy Based on Deep Reinforcement Learning for Smart Grid. ComComAP 2019: 6-11 - [c35]Zhifei Pang, Sai Wu, Haichao Huang, Zhouzhenyan Hong, Yuqing Xie:
AQUA+: Query Optimization for Hybrid Database-MapReduce System. ICBK 2019: 199-206 - [c34]Keyu Yang, Yunjun Gao, Rui Ma, Lu Chen, Sai Wu, Gang Chen:
DBSCAN-MS: Distributed Density-Based Clustering in Metric Spaces. ICDE 2019: 1346-1357 - [c33]Sachula Meng, Zhihui Wang, Huixia Ding, Lili Sun, Delong Yang, Sai Wu, Xinzhi Cao, Xue Wang, Ying Wang, Yuanbin Chen:
Service-Aware Resource Allocation Based on RAN Slicing for Smart Grid. IMIS 2019: 373-384 - [c32]Sachula Meng, Zhihui Wang, Mingwei Tang, Sai Wu, Xu'an Li:
Integration Application of 5G and Smart Grid. WCSP 2019: 1-7 - [c31]Delong Yang, Sachula Meng, Zhihui Wang, Sai Wu, Xuan Li, Xinzhi Cao, Xiaoyun Liu, Xue Wang, Yuanbin Chen:
E2E Delay Optimization for Smart Grids Mission-critical Slices in Core Networks. WCSP 2019: 1-6 - [i4]Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Sharad Mehrotra:
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction. CoRR abs/1904.03898 (2019) - [i3]Sai Wu, Xinyi Yu, Gang Chen, Yusong Gao, Xiaojie Feng, Wei Cao:
Progressive Neural Index Search for Database System. CoRR abs/1912.07001 (2019) - 2018
- [c30]Zhi Li, Yue Ma, Jie Tong, Sai Wu:
A Base Station Location Planning Method Based on Artificial Bee Colony Algorithm. ICCS 2018: 252-256 - [c29]Dongxiang Zhang, Long Guo, Xiangnan He, Jie Shao, Sai Wu, Heng Tao Shen:
A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution. ICDE 2018: 713-724 - [r2]Sai Wu:
MapReduce. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Sai Wu:
NoSQL Stores. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j28]Xinyuan Luo, Sai Wu, Wei Wang, Lidan Shou:
Tuning the granularity of parallelism for distributed graph processing. Distributed Parallel Databases 35(2): 117-148 (2017) - [j27]Xiaoling Gu, Sai Wu, Pai Peng, Lidan Shou, Ke Chen, Gang Chen:
CSIR4G: An effective and efficient cross-scenario image retrieval model for glasses. Inf. Sci. 417: 310-327 (2017) - [j26]Zhifei Pang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou:
FlashView: An Interactive Visual Explorer for Raw Data. Proc. VLDB Endow. 10(12): 1869-1872 (2017) - [j25]Dongxiang Zhang, Long Guo, Liqiang Nie, Jie Shao, Sai Wu, Heng Tao Shen:
Targeted Advertising in Public Transportation Systems with Quantitative Evaluation. ACM Trans. Inf. Syst. 35(3): 20:1-20:29 (2017) - [c28]Sai Wu, Mengdan Zhang, Gang Chen, Ke Chen:
A New Approach to Compute CNNs for Extremely Large Images. CIKM 2017: 39-48 - 2016
- [j24]Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
KISS: Knowing Camera Prototype System for Recognizing and Annotating Places-of-Interest. IEEE Trans. Knowl. Data Eng. 28(4): 994-1006 (2016) - [j23]Dawei Jiang, Sai Wu, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Jun Xu:
epiC: an extensible and scalable system for processing Big Data. VLDB J. 25(1): 3-26 (2016) - [c27]Sai Wu, Weichao Ren, Chengchao Yu, Gang Chen, Dongxiang Zhang, Jingbo Zhu:
Personal recommendation using deep recurrent neural networks in NetEase. ICDE 2016: 1218-1229 - [c26]Xiaoling Gu, Lidan Shou, Pai Peng, Ke Chen, Sai Wu, Gang Chen:
iGlasses: A Novel Recommendation System for Best-fit Glasses. SIGIR 2016: 1109-1112 - [c25]Chang Yao, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Sai Wu:
Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases. SIGMOD Conference 2016: 1119-1134 - [c24]Yuxin Zheng, Qi Guo, Anthony K. H. Tung, Sai Wu:
LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index. SIGMOD Conference 2016: 2023-2037 - 2015
- [j22]Gang Chen, Sai Wu, Yuan Wang:
The Evolvement of Big Data Systems: From the Perspective of an Information Security Application. Big Data Res. 2(2): 65-73 (2015) - [j21]Dingyu Yang, Jian Cao, Sai Wu, Jie Wang:
Progressive online aggregation in a distributed stream system. J. Syst. Softw. 102: 146-157 (2015) - [j20]Sai Wu, Gang Chen, Ke Chen, Feng Li, Lidan Shou:
HM: A Column-Oriented MapReduce System on Hybrid Storage. IEEE Trans. Knowl. Data Eng. 27(12): 3304-3317 (2015) - [c23]Zhenhua Wang, Ping He, Lidan Shou, Ke Chen, Sai Wu, Gang Chen:
Toward the New Item Problem: Context-Enhanced Event Recommendation in Event-Based Social Networks. ECIR 2015: 333-338 - [c22]Sai Wu, Gang Chen, Xianke Zhou, Zhenjie Zhang, Anthony K. H. Tung, Marianne Winslett:
PABIRS: A data access middleware for distributed file systems. ICDE 2015: 113-124 - [c21]Xiaoling Gu, Pai Peng, Mengwen Li, Sai Wu, Lidan Shou, Gang Chen:
Cross-Scenario Eyeglasses Retrieval via EGYPT Model. ICMR 2015: 463-466 - [i2]Chang Yao, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Sai Wu:
Adaptive Logging for Distributed In-memory Databases. CoRR abs/1503.03653 (2015) - 2014
- [j19]Feng Li, Beng Chin Ooi, M. Tamer Özsu, Sai Wu:
Distributed data management using MapReduce. ACM Comput. Surv. 46(3): 31:1-31:42 (2014) - [j18]Xianke Zhou, Sai Wu, Gang Chen, Lidan Shou:
kNN processing with co-space distance in SoLoMo systems. Expert Syst. Appl. 41(16): 6967-6982 (2014) - [j17]Xianke Zhou, Sai Wu, Chun Chen, Gang Chen, Shanshan Ying:
Real-time recommendation for microblogs. Inf. Sci. 279: 301-325 (2014) - [j16]Dawei Jiang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Sai Wu:
epiC: an Extensible and Scalable System for Processing Big Data. Proc. VLDB Endow. 7(7): 541-552 (2014) - [j15]Sai Wu, Gang Chen, Ke Chen, Lidan Shou, Hui Cao, He Bai:
yzBigData: Provisioning Customizable Solution for Big Data. Proc. VLDB Endow. 7(13): 1778-1783 (2014) - [j14]Peng Lu, Gang Chen, Beng Chin Ooi, Hoang Tam Vo, Sai Wu:
ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems [Innovative Systems Paper]. Proc. VLDB Endow. 7(14): 1797-1808 (2014) - [j13]Gang Chen, Sai Wu, Jingbo Zhou, Anthony K. H. Tung:
Automatic Itinerary Planning for Traveling Services. IEEE Trans. Knowl. Data Eng. 26(3): 514-527 (2014) - [j12]Gang Chen, Tianlei Hu, Dawei Jiang, Peng Lu, Kian-Lee Tan, Hoang Tam Vo, Sai Wu:
BestPeer++: A Peer-to-Peer BasedLarge-Scale Data Processing Platform. IEEE Trans. Knowl. Data Eng. 26(6): 1316-1331 (2014) - [j11]Sai Wu, Xiaoli Wang, Sheng Wang, Zhenjie Zhang, Anthony K. H. Tung:
K-Anonymity for Crowdsourcing Database. IEEE Trans. Knowl. Data Eng. 26(9): 2207-2221 (2014) - [c20]Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
The knowing camera 2: recognizing and annotating places-of-interest in smartphone photos. SIGIR 2014: 707-716 - 2013
- [j10]Lidan Shou, Sai Wu:
Supporting Efficient Social Media Search in Cyber-Physical Web. IEEE Data Eng. Bull. 36(3): 83-90 (2013) - [c19]Peng Lu, Sai Wu, Lidan Shou, Kian-Lee Tan:
An efficient and compact indexing scheme for large-scale data store. ICDE 2013: 326-337 - [c18]Xianke Zhou, Ke Chen, Sai Wu, Bingbing Zhang:
Crowd-answering system via microblogging. ICDE 2013: 1284-1287 - [c17]Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
The knowing camera: recognizing places-of-interest in smartphone photos. SIGIR 2013: 969-972 - [p1]