Sai Wu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 88

Top Venues

CoRR

Proc. VLDB Endow.

ICDE

IEEE Trans. Knowl. Data Eng.

Publications

Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen
Sampling-Resilient Multi-Object Tracking. AAAI (2024)
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)
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 (2024)
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) (2024)
Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen
Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR (2024)
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 (2024)
Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu
In Situ Neural Relational Schema Matcher. ICDE (2024)
Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang
Revisiting CNNs for Trajectory Similarity Learning. CoRR (2024)
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) (2024)
Gongsheng Yuan, Yuxing Chen, Jiaheng Lu, Sai Wu, Zhiwei Ye, Ling Qian, Gang Chen
Quantum Computing for Databases: Overview and Challenges. CoRR (2024)
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) (2023)
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) (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML (2023)
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 (2023)
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) (2023)
Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen
Distributional constraint discovery for intelligent auditing. Knowl. Inf. Syst. 65 (12) (2023)
Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song
ModelGiF: Gradient Fields for Model Functional Distance. CoRR (2023)
Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao
Controllable Textual Inversion for Personalized Text-to-Image Generation. CoRR (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR (2023)
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) (2023)
Sai Wu, Zhiyin Huang, Hao Feng
Text Labels Classification Model based on BERT Algorithm. ICBASE (2023)
Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song
ModelGiF: Gradient Fields for Model Functional Distance. ICCV (2023)
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 (2023)
Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao
Towards Controlled Data Augmentations for Active Learning. ICML (2023)
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)
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)
Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen
Detecting Logic Bugs of Join Optimizations in DBMS. Proc. ACM Manag. Data 1 (1) (2023)
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) (2023)
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)
Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen
A Sampling-based Learning Framework for Big Databases. WWW (2022)
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) (2022)
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)
Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang
Comparison Knowledge Translation for Generalizable Image Classification. IJCAI (2022)
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) (2022)
Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen
A Comparative Study of in-Database Inference Approaches. ICDE (2022)
Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen
PreQR: Pre-training Representation for SQL Understanding. SIGMOD Conference (2022)
Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang
Comparison Knowledge Translation for Generalizable Image Classification. CoRR (2022)
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)
Sai Wu, Ying Li, Haoqi Zhu, Junbo Zhao, Gang Chen
Dynamic Index Construction with Deep Reinforcement Learning. Data Sci. Eng. 7 (2) (2022)
Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. CoRR (2022)
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)
Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. ACL (Findings) (2022)
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 (2021)
Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, Jake Zhao
A critical look at the current train/test split in machine learning. CoRR (2021)
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 (2021)
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) (2021)
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)
Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen
BERT-JAM: Maximizing the utilization of BERT for neural machine translation. Neurocomputing 460 (2021)
Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu
Metric Learning via Penalized Optimization. KDD (2021)
Zhifei Pang, Sai Wu, Haichao Huang, Zhouzhenyan Hong, Yuqing Xie
AQUA+: Query Optimization for Hybrid Database-MapReduce System. Knowl. Inf. Syst. 63 (4) (2021)
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 (2021)
Xiu Tang, Sai Wu, Gang Chen, Jinyang Gao, Wei Cao, Zhifei Pang
A Learning to Tune Framework for LSH. ICDE (2021)
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen
Effective Slot Filling via Weakly-Supervised Dual-Model Learning. AAAI (2021)
Xiaxia Wang, Sai Wu, Lidan Shou, Ke Chen
An Interactive NL2SQL Approach with Reuse Strategy. DASFAA (2) (2021)
Xiu Tang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou
Learning to Label with Active Learning and Reinforcement Learning. DASFAA (2) (2021)
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)
Dongxiang Zhang, Yuyang Nie, Sai Wu, Yanyan Shen, Kian-Lee Tan
Multi-Context Attention for Entity Matching. WWW (2020)
Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention. CoRR (2020)
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
LINDT: Tackling Negative Federated Learning with Local Adaptation. CoRR (2020)
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)
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)
Zhebin Zhang, Sai Wu, Gang Chen, Dawei Jiang
Self-Attention and Dynamic Convolution Hybrid Model for Neural Machine Translation. ICKG (2020)
Jingtian Zhang, Lidan Shou, Sai Wu, Gang Chen, Ke Chen
A two-phase approach for unexpected pattern mining. Expert Syst. Appl. 141 (2020)
Zhifei Pang, Sai Wu, Dongxiang Zhang, Yunjun Gao, Gang Chen
NAD: Neural Network Aided Design for Textile Pattern Generation. CIKM (2019)
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) (2019)
Sai Wu, Xinyi Yu, Gang Chen, Yusong Gao, Xiaojie Feng, Wei Cao
Progressive Neural Index Search for Database System. CoRR (2019)
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) (2019)
Keyu Yang, Yunjun Gao, Rui Ma, Lu Chen, Sai Wu, Gang Chen
DBSCAN-MS: Distributed Density-Based Clustering in Metric Spaces. ICDE (2019)
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Sharad Mehrotra
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction. CoRR (2019)
Zhifei Pang, Sai Wu, Haichao Huang, Zhouzhenyan Hong, Yuqing Xie
AQUA+: Query Optimization for Hybrid Database-MapReduce System. ICBK (2019)
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)
Sachula Meng, Zhihui Wang, Mingwei Tang, Sai Wu, Xu'an Li
Integration Application of 5G and Smart Grid. WCSP (2019)
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)
Dongxiang Zhang, Rui Cao, Sai Wu
Information fusion in visual question answering: A Survey. Inf. Fusion 52 (2019)
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)
Zhi Li, Yue Ma, Jie Tong, Sai Wu
A Base Station Location Planning Method Based on Artificial Bee Colony Algorithm. ICCS (2018)
Dongxiang Zhang, Long Guo, Xiangnan He, Jie Shao, Sai Wu, Heng Tao Shen
A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution. ICDE (2018)
Zhifei Pang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou
FlashView: An Interactive Visual Explorer for Raw Data. Proc. VLDB Endow. 10 (12) (2017)
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) (2017)
Sai Wu, Mengdan Zhang, Gang Chen, Ke Chen
A New Approach to Compute CNNs for Extremely Large Images. CIKM (2017)
Xinyuan Luo, Sai Wu, Wei Wang, Lidan Shou
Tuning the granularity of parallelism for distributed graph processing. Distributed Parallel Databases 35 (2) (2017)
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 (2017)
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) (2016)
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)
Xiaoling Gu, Lidan Shou, Pai Peng, Ke Chen, Sai Wu, Gang Chen
iGlasses: A Novel Recommendation System for Best-fit Glasses. SIGIR (2016)
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) (2016)
Sai Wu, Weichao Ren, Chengchao Yu, Gang Chen, Dongxiang Zhang, Jingbo Zhu
Personal recommendation using deep recurrent neural networks in NetEase. ICDE (2016)
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)
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) (2015)
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)
Dingyu Yang, Jian Cao, Sai Wu, Jie Wang
Progressive online aggregation in a distributed stream system. J. Syst. Softw. 102 (2015)
Chang Yao, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Sai Wu
Adaptive Logging for Distributed In-memory Databases. CoRR (2015)
Xiaoling Gu, Pai Peng, Mengwen Li, Sai Wu, Lidan Shou, Gang Chen
Cross-Scenario Eyeglasses Retrieval via EGYPT Model. ICMR (2015)
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) (2015)
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)
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) (2014)
Sai Wu, Xiaoli Wang, Sheng Wang, Zhenjie Zhang, Anthony K. H. Tung
K-Anonymity for Crowdsourcing Database. IEEE Trans. Knowl. Data Eng. 26 (9) (2014)
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) (2014)
Sai Wu, Gang Chen, Ke Chen, Lidan Shou, Hui Cao, He Bai
yzBigData: Provisioning Customizable Solution for Big Data. Proc. VLDB Endow. 7 (13) (2014)
Feng Li, Beng Chin Ooi, M. Tamer Özsu, Sai Wu
Distributed data management using MapReduce. ACM Comput. Surv. 46 (3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sai Wu