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Beng Chin Ooi
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- affiliation: National University of Singapore (NUS)
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2020 – today
- 2024
- [j160]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): 1020-1033 (2024) - [j159]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): 2321-2334 (2024) - [j158]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): 3312-3328 (2024) - [c212]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: 2026-2039 - [c211]Kaiping Zheng, Horng Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip:
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. ICML 2024 - [c210]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: 6025-6036 - [i66]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 abs/2402.18607 (2024) - [i65]Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Anytime Neural Architecture Search on Tabular Data. CoRR abs/2403.10318 (2024) - [i64]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 abs/2405.00568 (2024) - [i63]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 abs/2405.03924 (2024) - [i62]Qingpeng Cai, Kaiping Zheng, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip:
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics. CoRR abs/2406.14015 (2024) - [i61]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 abs/2407.05034 (2024) - [i60]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. CoRR abs/2408.00513 (2024) - 2023
- [j157]Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong:
Robust and Transferable Log-based Anomaly Detection. Proc. ACM Manag. Data 1(1): 64:1-64:26 (2023) - [j156]Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi:
Regularized Pairwise Relationship based Analytics for Structured Data. Proc. ACM Manag. Data 1(1): 82:1-82:27 (2023) - [j155]Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi:
Incentive-Aware Decentralized Data Collaboration. Proc. ACM Manag. Data 1(2): 158:1-158:27 (2023) - [j154]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): 194:1-194:27 (2023) - [j153]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): 270:1-270:27 (2023) - [j152]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): 1359-1371 (2023) - [j151]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): 2145-2157 (2023) - [j150]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): 2471-2484 (2023) - [j149]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): 2485-2498 (2023) - [j148]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): 3610-3623 (2023) - [j147]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): 794-807 (2023) - [j146]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): 12750-12769 (2023) - [c209]Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi:
Deep Co-Training for Cross-Modality Medical Image Segmentation. ECAI 2023: 3140-3147 - [c208]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: 1423-1432 - [c207]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: 3675-3687 - [c206]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: 91-92 - [c205]Tien Tuan Anh Dinh, Beng Chin Ooi, Xinying Yang:
First Workshop on Verifiable Database Systems. SIGMOD Conference Companion 2023: 315-316 - [c204]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: 3077-3085 - [e11]Hyeran Byun, Beng Chin Ooi, Katsumi Tanaka, Sang-Won Lee, Zhixu Li, Akiyo Nadamoto, Giltae Song, Young-Guk Ha, Kazutoshi Sumiya, Yuncheng Wu, Hyuk-Yoon Kwon, Takehiro Yamamoto:
IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023. IEEE 2023, ISBN 978-1-6654-7578-5 [contents] - [i59]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 abs/2301.03829 (2023) - [i58]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 abs/2302.04500 (2023) - [i57]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 abs/2302.07335 (2023) - [i56]Wenqiao Zhang, Changshuo Liu, Can Cui, Beng Chin Ooi:
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation. CoRR abs/2303.17526 (2023) - [i55]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 abs/2304.04468 (2023) - [i54]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 abs/2304.10539 (2023) - [i53]Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi:
Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR abs/2310.10483 (2023) - [i52]Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao:
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR abs/2311.15310 (2023) - [i51]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang:
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. CoRR abs/2312.16831 (2023) - 2022
- [j145]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): 72-79 (2022) - [j144]Zerui Ge, Dumitrel Loghin, Beng Chin Ooi, Pingcheng Ruan, Tianwen Wang:
Hybrid Blockchain Database Systems: Design and Performance. Proc. VLDB Endow. 15(5): 1092-1104 (2022) - [j143]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): 2348-2360 (2022) - [j142]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): 3445-3458 (2022) - [j141]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): 5840-5853 (2022) - [c203]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI 2022: 1899-1907 - [c202]Kaiping Zheng, Thao Nguyen, Changshuo Liu, Charlene Enhui Goh, Beng Chin Ooi:
eDental: Managing Your Dental Care in Diet Diaries. CIKM 2022: 5059-5063 - [c201]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: 20634-20644 - [c200]Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao:
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics. ICDE 2022: 393-406 - [c199]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 - [c198]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: 1866-1875 - [c197]Pingcheng Ruan, Yaron Kanza, Beng Chin Ooi, Divesh Srivastava:
LedgerView: Access-Control Views on Hyperledger Fabric. SIGMOD Conference 2022: 2218-2231 - [i50]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 abs/2203.02533 (2022) - [i49]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 abs/2205.06941 (2022) - [i48]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 abs/2206.10326 (2022) - [i47]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 abs/2207.00944 (2022) - [i46]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 abs/2212.04371 (2022) - 2021
- [j140]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): 43:1-43:31 (2021) - [j139]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): 3-24 (2021) - [c196]Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang:
Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI 2021: 8810-8818 - [c195]Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE 2021: 181-192 - [c194]Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu:
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. ICDE 2021: 384-395 - [c193]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: 1655-1666 - [c192]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: 394-404 - [c191]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: 1293-1302 - [c190]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: 207-220 - [c189]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: 1504-1517 - [c188]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: 2156-2168 - [c187]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: 2208-2216 - [e10]Feida Zhu, Beng Chin Ooi, Chunyan Miao:
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021. ACM 2021, ISBN 978-1-4503-8332-5 [contents] - [i45]Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi:
Serverless Model Serving for Data Science. CoRR abs/2103.02958 (2021) - [i44]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 abs/2103.16196 (2021) - [i43]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR abs/2105.07754 (2021) - [i42]Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. CoRR abs/2107.01830 (2021) - [i41]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 abs/2108.02572 (2021) - [i40]Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low:
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. CoRR abs/2109.00817 (2021) - 2020
- [j138]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): 2090-2103 (2020) - [j137]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): 70-77 (2020) - [j136]Beng Chin Ooi:
Inaugural Issue Editorial. Trans. Data Sci. 1(1): 1:1-1:2 (2020) - [j135]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): 1179-1198 (2020) - [c186]Zhongle Xie, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, Beng Chin Ooi:
Cool, a COhort OnLine analytical processing system. ICDE 2020: 577-588 - [c185]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: 1718-1721 - [c184]Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi:
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. ISSRE 2020: 313-324 - [c183]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: 543-557 - [c182]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: 925-935 - [c181]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: 1747-1763 - [e9]Rodrigo Fonseca, Christina Delimitrou, Beng Chin Ooi:
SoCC '20: ACM Symposium on Cloud Computing, Virtual Event, USA, October 19-21, 2020. ACM 2020, ISBN 978-1-4503-8137-6 [contents] - [i39]Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao:
Analysis of Indexing Structures for Immutable Data. CoRR abs/2003.02090 (2020) - [i38]Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi:
A Transactional Perspective on Execute-order-validate Blockchains. CoRR abs/2003.10064 (2020) - [i37]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 abs/2003.12012 (2020) - [i36]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 abs/2004.07585 (2020) - [i35]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR abs/2008.06170 (2020) - [i34]Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu:
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. CoRR abs/2009.05766 (2020) - [i33]Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Feature Inference Attack on Model Predictions in Vertical Federated Learning. CoRR abs/2010.10152 (2020) - [i32]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 abs/2010.10246 (2020)
2010 – 2019
- 2019
- [j134]Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang:
5G: Agent for Further Digital Disruptive Transformations. IEEE Data Eng. Bull. 42(3): 9-12 (2019) - [j133]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): 975-988 (2019) - [j132]Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao:
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. Proc. VLDB Endow. 13(2): 86-99 (2019) - [j131]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): 44-53 (2019) - [j130]Qingchao Cai, Hao Zhang, Wentian Guo, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Weng-Fai Wong:
MemepiC: Towards a Unified In-Memory Big Data Management System. IEEE Trans. Big Data 5(1): 4-17 (2019) - [c180]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: 123-140 - [i31]Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao:
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. CoRR abs/1904.01831 (2019) - [i30]Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi:
Effective and Efficient Dropout for Deep Convolutional Neural Networks. CoRR abs/1904.03392 (2019) - [i29]Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi:
ISBNet: Instance-aware Selective Branching Network. CoRR abs/1905.04849 (2019) - [i28]Dumitrel Loghin, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi, Yong Meng Teo:
Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes. CoRR abs/1905.06520 (2019) - [i27]Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan:
Database Meets Deep Learning: Challenges and Opportunities. CoRR abs/1906.08986 (2019) - [i26]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. CoRR abs/1909.08096 (2019) - [i25]Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang:
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- [j129]Ran Jin