Yuncheng Wu - RankMe

56 papers A* 9A 1B 4C 4Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Effective Orchestration of AI x DB Workloads. CoRR Naili Xing, Haotian Gao, Zhanhao Zhao, Shaofeng Cai, Zhaojing Luo, Yuncheng Wu, Zhongle Xie, Meihui Zhang, Beng Chin Ooi
2025	J	`jnl`	CCaaLF: Concurrency Control as a Learnable Function. CoRR Hexiang Pan, Shaofeng Cai, Tien Tuan Anh Dinh, Yuncheng Wu, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
2025	A*	`conf`	Differentially Private Visual Learning with Public Subspace Augmented by Synthetic Data. ACM Multimedia Haichao Sha, Yuncheng Wu, Ruixuan Liu, Yang Cao, Hong Chen
2025	A	`conf`	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CIDR Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang
2025	A*	`conf`	Passive Inference Attacks on Split Learning via Adversarial Regularization. NDSS Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
2025	A*	`conf`	SeSeMI: Secure Serverless Model Inference on Sensitive Data. ICDE Guoyu Hu, Yuncheng Wu, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi
2025	J	`jnl`	Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. IEEE Trans. Knowl. Data Eng. Bingxue Zhang, Guangguang Lu, Yuncheng Wu, Kunpeng Ren, Feida Zhu
2024	A*	`conf`	Applications and Challenges for Large Language Models: From Data Management Perspective. ICDE Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai
2024	J	`jnl`	Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails. CoRR Haichao Sha, Yang Cao, Yong Liu, Yuncheng Wu, Ruixuan Liu, Hong Chen
2024	J	`jnl`	Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. CoRR Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2024	J	`jnl`	Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. IEEE Trans. Inf. Forensics Secur. Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2024	J	`jnl`	FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme. IEEE Internet Things J. Gang Wang, Li Zhou, Qingming Li, Xiaoran Yan, Ximeng Liu, Yuncheng Wu
2024	J	`jnl`	Front Matter. Proc. VLDB Endow. Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou
2024	A*	`conf`	LBSC: A Cost-Aware Caching Framework for Cloud Databases. ICDE Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang
2024	J	`jnl`	NeurDB: An AI-powered Autonomous Data System. CoRR Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao
2024	J	`jnl`	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CoRR Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang
2024	J	`jnl`	NeurDB: an AI-powered autonomous data system. Sci. China Inf. Sci. Beng Chin Ooi, Shaofeng Cai, Gang Chen, Yanyan Shen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao
2024	J	`jnl`	On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Trans. Knowl. Data Eng. Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
2024	J	`jnl`	Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu
2024	J	`jnl`	Powering In-Database Dynamic Model Slicing for Structured Data Analytics. Proc. VLDB Endow. Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu
2024	A*	`conf`	Protecting Label Distribution in Cross-Silo Federated Learning. SP Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2024	J	`jnl`	SeSeMI: Secure Serverless Model Inference on Sensitive Data. CoRR Guoyu Hu, Yuncheng Wu, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi
2024	J	`jnl`	Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proc. VLDB Endow. Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
2023	J	`jnl`	FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. Proc. ACM Manag. Data Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang
2023	J	`jnl`	Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
2023	—	`ed.`	IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023 BigComp 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
2023	J	`jnl`	Incentive-Aware Decentralized Data Collaboration. Proc. ACM Manag. Data Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi
2023	J	`jnl`	LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. IEEE Trans. Knowl. Data Eng. Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
2023	J	`jnl`	MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. Proc. VLDB Endow. Fei Xiao, Yuncheng Wu, Meihui Zhang, Gang Chen, Beng Chin Ooi
2023	J	`jnl`	Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
2023	J	`jnl`	Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
2022	A*	`conf`	A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
2022	J	`jnl`	Search geometric ranges efficiently as keywords over encrypted spatial data. High Confid. Comput. Ruoyang Guo, Bo Qin, Yuncheng Wu, Hong Chen, Cuiping Li
2022	—	`conf`	Serverless Data Science - Are We There Yet? A Case Study of Model Serving. SIGMOD Conference Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
2021	J	`jnl`	A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
2021	A*	`conf`	Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. ICDE Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu
2021	J	`jnl`	Enhanced Privacy Preserving Group Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li
2021	A*	`conf`	Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2021	J	`jnl`	Serverless Model Serving for Data Science. CoRR Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
2020	J	`jnl`	A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. Comput. Secur. Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li
2020	J	`jnl`	Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. CoRR Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu
2020	J	`jnl`	Feature Inference Attack on Model Predictions in Vertical Federated Learning. CoRR Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2020	J	`jnl`	Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
2020	J	`jnl`	Privacy Preserving Vertical Federated Learning for Tree-based Models. Proc. VLDB Endow. Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
2019	C	`conf`	Differentially Private Frequent Itemset Mining Against Incremental Updates. ICICS Wenjuan Liang, Hong Chen, Yuncheng Wu, Cuiping Li
2019	B	`conf`	MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud. IWQoS Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
2018	B	`conf`	Privacy Preserving Group Nearest Neighbor Search. EDBT Yuncheng Wu, Ke Wang, Zhilin Zhang, Weipeng Lin, Hong Chen, Cuiping Li
2018	—	`conf`	Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks. DASFAA (1) Ying Liu, Hui Peng, Yuncheng Wu, Juru Zeng, Hong Chen, Ke Wang, Weiling Lai, Cuiping Li
2017	C	`conf`	AXE: Objects Search in Mobile Volunteered Service. CollaborateCom Yao Wu, Wenjuan Liang, Yuncheng Wu, Hong Chen, Cuiping Li
2017	J	`jnl`	HelPal: A Search System for Mobile Crowd Service. CoRR Yao Wu, Tianzhen Wu, Ziyi Xiong, Yuncheng Wu, Hong Chen, Cuiping Li, Xiaoying Zhang
2017	C	`conf`	PIE: A personalized incentive for location-aware mobile crowd sensing. ISCC Yao Wu, Yuncheng Wu, Juru Zeng, Hong Chen, Cuiping Li
2016	C	`conf`	DPListCF: A differentially private approach for listwise collaborative filtering. ISCC Yuncheng Wu, Juru Zeng, Hong Chen, Yao Wu, Wenjuan Liang, Hui Peng, Cuiping Li
2016	B	`conf`	Differentially private density estimation via Gaussian mixtures model. IWQoS Yuncheng Wu, Yao Wu, Hui Peng, Juru Zeng, Hong Chen, Cuiping Li
2016	—	`conf`	Energy-Efficient and Privacy-Preserving Range Query in Participatory Sensing. Trustcom/BigDataSE/ISPA Juru Zeng, Yuncheng Wu, Yao Wu, Hong Chen, Cuiping Li, Shan Wang
2016	B	`conf`	MagiCrowd: A crowd based incentive for location-aware crowd sensing. WCNC Yao Wu, Yuncheng Wu, Hui Peng, Hong Chen, Cuiping Li
2015	—	`conf`	Enable Privacy Preservation and Result Verification for Top-k Query in Two-Tiered Sensor Networks. TrustCom/BigDataSE/ISPA (1) Hui Peng, Xiaoying Zhang, Hong Chen, Yuncheng Wu, Yao Wu, Juru Zeng