Renzhi Wu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Entity Resolution

Nearest Neighbor Classifiers

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Proc. ACM Manag. Data

Publications

Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR (2024)
Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests. SIGMOD Rec. 52 (2) (2023)
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1 (1) (2023)
Renzhi Wu, Jingfan Meng, Jie Jeff Xu, Huayi Wang, Kexin Rong
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data. CoRR (2023)
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao
Decentralized Personalized Online Federated Learning. BigData (2023)
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao
Decentralized Personalized Online Federated Learning. CoRR (2023)
Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR (2023)
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR (2022)
Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14 (3) (2022)
Renzhi Wu, Shen-En Chen, Xu Chu
Learned Label Aggregation for Weak Supervision. CoRR (2022)
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR (2022)
Shuang Hao, Peng Li, Renzhi Wu, Xu Chu
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE (2022)
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15 (2) (2021)
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14 (12) (2021)
Renzhi Wu, Shuai Li, Chenglizhao Chen, Aimin Hao
Improving video anomaly detection performance by mining useful data from unseen video frames. Neurocomputing 462 (2021)
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR (2021)
Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference (2020)
Sergey Sukhanov, Renzhi Wu, Christian Debes, Abdelhak M. Zoubir
Dynamic pattern matching with multiple queries on large scale data streams. Signal Process. 171 (2020)
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14 (3) (2020)
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR (2020)
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference (2020)
Renzhi Wu, Sergey Sukhanov, Christian Debes
Real Time Pattern Matching with Dynamic Normalization. CoRR (2019)
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
AutoER: Automated Entity Resolution using Generative Modelling. CoRR (2019)