Beng Chin Ooi

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 167

Top Venues

Publications

Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. KDD (2024)
Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17 (5) (2024)
Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. CoRR (2024)
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proc. VLDB Endow. 17 (9) (2024)
Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. CoRR (2024)
Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei
Anytime Neural Architecture Search on Tabular Data. CoRR (2024)
Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao
NeurDB: An AI-powered Autonomous Data System. CoRR (2024)
Qingpeng Cai, Kaiping Zheng, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics. CoRR (2024)
Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR (2024)
Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Zhanhao Zhao, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
FC: Adaptive Atomic Commit via Failure Detection. ICDE (2024)
Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. 16 (10) (2023)
Zhanhao Zhao, Hexiang Pan, Gang Chen, Xiaoyong Du, Wei Lu, Beng Chin Ooi
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation. Proc. ACM Manag. Data 1 (4) (2023)
Wenqiao Zhang, Changshuo Liu, Can Cui, Beng Chin Ooi
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation. CoRR (2023)
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. CoRR (2023)
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. Proc. VLDB Endow. 17 (4) (2023)
Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi
Regularized Pairwise Relationship based Analytics for Structured Data. Proc. ACM Manag. Data 1 (1) (2023)
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR (2023)
Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong
Robust and Transferable Log-based Anomaly Detection. Proc. ACM Manag. Data 1 (1) (2023)
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW (2023)
Cong Yue, Meihui Zhang, Changhao Zhu, Gang Chen, Dumitrel Loghin, Beng Chin Ooi
VeriBench: Analyzing the Performance of Database Systems with Verifiability. Proc. VLDB Endow. 16 (9) (2023)
Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi
Deep Co-Training for Cross-Modality Medical Image Segmentation. ECAI (2023)
Kunpeng Ren, Nhut-Minh Ho, Dumitrel Loghin, Thanh-Toan Nguyen, Beng Chin Ooi, Quang-Trung Ta, Feida Zhu
Interoperability in Blockchain: A Survey. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi
Incentive-Aware Decentralized Data Collaboration. Proc. ACM Manag. Data 1 (2) (2023)
Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR (2023)
Kailong Wang, Yuxi Ling, Yanjun Zhang, Zhou Yu, Haoyu Wang, Guangdong Bai, Beng Chin Ooi, Jin Song Dong
Characterizing Cryptocurrency-themed Malicious Browser Extensions. SIGMETRICS (Abstracts) (2023)
Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. CoRR (2023)
Changshuo Liu, Wenqiao Zhang, Beng Chin Ooi, James Wei Luen Yip, Lingze Zeng, Kaiping Zheng
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis. CoRR (2023)
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR (2023)
Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. ICCV (2023)
Tien Tuan Anh Dinh, Beng Chin Ooi, Xinying Yang
First Workshop on Verifiable Database Systems. SIGMOD Conference Companion (2023)
Xinying Yang, Ruide Zhang, Cong Yue, Yang Liu, Beng Chin Ooi, Qun Gao, Yuan Zhang, Hao Yang
VeDB: A Software and Hardware Enabled Trusted Relational Database. Proc. ACM Manag. Data 1 (2) (2023)
Beng Chin Ooi, Gang Chen, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang
The Metaverse Data Deluge: What Can We Do About It? ICDE (2023)
Kaiping Zheng, Thao Nguyen, Jesslyn Hwei Sing Chong, Charlene Enhui Goh, Melanie Herschel, Hee Hoon Lee, Beng Chin Ooi, Wei Wang, James Wei Luen Yip
A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset. CoRR (2023)
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. Proc. VLDB Endow. 16 (6) (2023)
Fei Xiao, Yuncheng Wu, Meihui Zhang, Gang Chen, Beng Chin Ooi
MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. Proc. VLDB Endow. 16 (12) (2023)
Haotian Gao, Cong Yue, Tien Tuan Anh Dinh, Zhiyong Huang, Beng Chin Ooi
Enabling Secure and Efficient Data Analytics Pipeline Evolution with Trusted Execution Environment. Proc. VLDB Endow. 16 (10) (2023)
Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
FLAC: Practical Failure-Aware Atomic Commit Protocol for Distributed Transactions. CoRR (2023)
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
GlassDB: Practical Verifiable Ledger Database Through Transparency. CoRR (2022)
Zerui Ge, Dumitrel Loghin, Beng Chin Ooi, Pingcheng Ruan, Tianwen Wang
Hybrid Blockchain Database Systems: Design and Performance. Proc. VLDB Endow. 15 (5) (2022)
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. Proc. VLDB Endow. 15 (12) (2022)
Wenqiao Zhang, Lei Zhu, James Hallinan, Andrew Makmur, Shengyu Zhang, Qingpeng Cai, Beng Chin Ooi
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation. CoRR (2022)
Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
Serverless Data Science - Are We There Yet? A Case Study of Model Serving. SIGMOD Conference (2022)
Pingcheng Ruan, Yaron Kanza, Beng Chin Ooi, Divesh Srivastava
LedgerView: Access-Control Views on Hyperledger Fabric. SIGMOD Conference (2022)
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. CoRR (2022)
Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics. ICDE (2022)
Kaiping Zheng, Thao Nguyen, Changshuo Liu, Charlene Enhui Goh, Beng Chin Ooi
eDental: Managing Your Dental Care in Diet Diaries. CIKM (2022)
Dumitrel Loghin, Tien Tuan Anh Dinh, Aung Maw, Gang Chen, Yong Meng Teo, Beng Chin Ooi
Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge. CoRR (2022)
Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung, Gang Chen, Mike Zheng Shou, Xiaokui Xiao, Meihui Zhang
Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective. CoRR (2022)
Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. ICLR (2022)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle report on database research. Commun. ACM 65 (8) (2022)
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. Proc. VLDB Endow. 15 (11) (2022)
Wenqiao Zhang, Lei Zhu, James Hallinan, Shengyu Zhang, Andrew Makmur, Qingpeng Cai, Beng Chin Ooi
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation. CVPR (2022)
Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie
LDA-Reg: Knowledge Driven Regularization Using External Corpora. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI (2022)
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR (2021)
Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang, Gang Chen, Qian Lin, Beng Chin Ooi
Blockchains vs. Distributed Databases: Dichotomy and Fusion. SIGMOD Conference (2021)
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. CoRR (2021)
Kailong Wang, Yuxi Ling, Yanjun Zhang, Zhou Yu, Haoyu Wang, Guangdong Bai, Beng Chin Ooi, Jin Song Dong
Characterizing Cryptocurrency-themed Malicious Browser Extensions. Proc. ACM Meas. Anal. Comput. Syst. 6 (3) (2021)
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. SIGMOD Conference (2021)
Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
ARM-Net: Adaptive Relation Modeling Network for Structured Data. SIGMOD Conference (2021)
Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. SIGMOD Conference (2021)
Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. CoRR (2021)
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. ACM Multimedia (2021)
Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. MICCAI (2) (2021)
Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE (2021)
Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. ICDE (2021)
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. CoRR (2021)
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. ICDE (2021)
Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
ARM-Net: Adaptive Relation Modeling Network for Structured Data. CoRR (2021)
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang
Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI (2021)
Pingcheng Ruan, Tien Tuan Anh Dinh, Qian Lin, Meihui Zhang, Gang Chen, Beng Chin Ooi
LineageChain: a fine-grained, secure and efficient data provenance system for blockchains. VLDB J. 30 (1) (2021)
Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
Serverless Model Serving for Data Science. CoRR (2021)
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. CoRR (2020)
Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi
A Transactional Perspective on Execute-order-validate Blockchains. CoRR (2020)
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. SIGMOD Conference (2020)
Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. ICDE (2020)
Zhongle Xie, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, Beng Chin Ooi
Cool, a COhort OnLine analytical processing system. ICDE (2020)
Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang
The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
Privacy Preserving Vertical Federated Learning for Tree-based Models. Proc. VLDB Endow. 13 (11) (2020)
Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
Feature Inference Attack on Model Predictions in Vertical Federated Learning. CoRR (2020)
Pingcheng Ruan, Tien Tuan Anh Dinh, Qian Lin, Meihui Zhang, Gang Chen, Beng Chin Ooi
Revealing Every Story of Data in Blockchain Systems. SIGMOD Rec. 49 (1) (2020)
Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. CoRR (2020)
Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi
A Transactional Perspective on Execute-order-validate Blockchains. SIGMOD Conference (2020)
Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. ISSRE (2020)
Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. CoRR (2020)
Beng Chin Ooi
Inaugural Issue Editorial. Trans. Data Sci. 1 (1) (2020)
Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao
Analysis of Indexing Structures for Immutable Data. SIGMOD Conference (2020)
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR (2020)
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. CoRR (2020)
Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao
Analysis of Indexing Structures for Immutable Data. CoRR (2020)
Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. CoRR (2019)
C. Mohan, Beng Chin Ooi, Gottfried Vossen
Distributed Computing with Permissioned Blockchains and Databases (Dagstuhl Seminar 19261). Dagstuhl Reports 9 (6) (2019)
Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Meihui Zhang
Blockchains and Distributed Databases: a Twin Study. CoRR (2019)
Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan
Database Meets Deep Learning: Challenges and Opportunities. CoRR (2019)
Pingcheng Ruan, Gang Chen, Anh Dinh, Qian Lin, Beng Chin Ooi, Meihui Zhang
Fine-Grained, Secure and Efficient Data Provenance for Blockchain. Proc. VLDB Endow. 12 (9) (2019)
Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang
5G: Agent for Further Digital Disruptive Transformations. CoRR (2019)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle Report on Database Research. SIGMOD Rec. 48 (4) (2019)
Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi
Effective and Efficient Dropout for Deep Convolutional Neural Networks. CoRR (2019)
Hung Dang, Tien Tuan Anh Dinh, Dumitrel Loghin, Ee-Chien Chang, Qian Lin, Beng Chin Ooi
Towards Scaling Blockchain Systems via Sharding. SIGMOD Conference (2019)

Beng Chin Ooi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Beng Chin Ooi