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ORCIDRenzhi Wu
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2020 – today
- 2024
[b1]Renzhi Wu:
User-centered Programmatic Data Labeling. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [j10]Renzhi Wu
, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL: Video Moment Querying with a Visual Query Interface. Proc. ACM Manag. Data 2(4): 204:1-204:27 (2024) - [j9]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. Proc. VLDB Endow. 17(12): 4429-4432 (2024) - [i10]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 abs/2405.18334 (2024) - 2023
- [j8]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1(1): 32:1-32:28 (2023) - [j7]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): 43-47 (2023) - [c5]Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao:
Decentralized Personalized Online Federated Learning. IEEE Big Data 2023: 1873-1882 - [c4]Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu:
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR 2023 - [i9]Renzhi Wu, Jingfan Meng, Jie Jeff Xu, Huayi Wang, Kexin Rong:
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data. CoRR abs/2308.00909 (2023) - [i8]Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao:
Decentralized Personalized Online Federated Learning. CoRR abs/2311.04817 (2023) - 2022
- [j6]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): 15:1-15:23 (2022) - [c3]Shuang Hao, Peng Li, Renzhi Wu, Xu Chu:
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE 2022: 1219-1231 - [i7]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 abs/2202.02800 (2022) - [i6]Renzhi Wu, Shen-En Chen, Xu Chu:
Learned Label Aggregation for Weak Supervision. CoRR abs/2207.13545 (2022) - [i5]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR abs/2211.06975 (2022) - 2021
- [j5]Renzhi Wu, Shuai Li, Chenglizhao Chen, Aimin Hao:
Improving video anomaly detection performance by mining useful data from unseen video frames. Neurocomputing 462: 523-533 (2021) - [j4]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14(12): 2735-2738 (2021) - [j3]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): 272-284 (2021) - [i4]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR abs/2106.10821 (2021) - 2020
- [j2]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): 255-267 (2020) - [j1]Sergey Sukhanov, Renzhi Wu, Christian Debes, Abdelhak M. Zoubir:
Dynamic pattern matching with multiple queries on large scale data streams. Signal Process. 171: 107402 (2020) - [c2]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c1]Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference 2020: 1717-1732 - [i3]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 abs/2005.05117 (2020)
2010 – 2019
- 2019
- [i2]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. CoRR abs/1908.06049 (2019) - [i1]Renzhi Wu, Sergey Sukhanov, Christian Debes:
Real Time Pattern Matching with Dynamic Normalization. CoRR abs/1912.11977 (2019)
Coauthor Index
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