Renzhi Wu

28 papers A* 2A 1B 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation.
RecSys
Renzhi Wu, Junjie Yang, Li Chen, Hong Li, Li Yu, Hong Yan
2025 J jnl
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation.
CoRR
Renzhi Wu, Junjie Yang, Li Chen, Hong Li, Li Yu, Hong Yan
2024 J jnl
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.
CoRR
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 J jnl
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.
Proc. VLDB Endow.
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 J jnl
SketchQL: Video Moment Querying with a Visual Query Interface.
Proc. ACM Manag. Data
Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 — —
User-centered Programmatic Data Labeling.
Renzhi Wu
2023 B conf
Decentralized Personalized Online Federated Learning.
IEEE Big Data
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao
2023 J jnl
Decentralized Personalized Online Federated Learning.
CoRR
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao
2023 J jnl
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests.
SIGMOD Rec.
Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu
2023 J jnl
Ground Truth Inference for Weakly Supervised Entity Matching.
Proc. ACM Manag. Data
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
2023 A* conf
Learning Hyper Label Model for Programmatic Weak Supervision.
ICLR
Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu
2023 J jnl
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data.
CoRR
Renzhi Wu, Jingfan Meng, Jie Jeff Xu, Huayi Wang, Kexin Rong
2022 J jnl
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling.
ACM J. Data Inf. Qual.
Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2022 A* conf
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.
ICDE
Shuang Hao, Peng Li, Renzhi Wu, Xu Chu
2022 J jnl
Ground Truth Inference for Weakly Supervised Entity Matching.
CoRR
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
2022 J jnl
Learned Label Aggregation for Weak Supervision.
CoRR
Renzhi Wu, Shen-En Chen, Xu Chu
2022 J jnl
Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
CoRR
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2021 J jnl
Demonstration of Panda: A Weakly Supervised Entity Matching System.
CoRR
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
2021 J jnl
Demonstration of Panda: A Weakly Supervised Entity Matching System.
Proc. VLDB Endow.
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
2021 J jnl
Improving video anomaly detection performance by mining useful data from unseen video frames.
Neurocomputing
Renzhi Wu, Shuai Li, Chenglizhao Chen, Aimin Hao
2021 J jnl
Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
Proc. VLDB Endow.
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2020 J jnl
Dynamic pattern matching with multiple queries on large scale data streams.
Signal Process.
Sergey Sukhanov, Renzhi Wu, Christian Debes, Abdelhak M. Zoubir
2020 — conf
GOGGLES: Automatic Image Labeling with Affinity Coding.
SIGMOD Conference
Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
2020 J jnl
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.
CoRR
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
2020 J jnl
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.
Proc. VLDB Endow.
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
2020 — conf
ZeroER: Entity Resolution using Zero Labeled Examples.
SIGMOD Conference
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
2019 J jnl
AutoER: Automated Entity Resolution using Generative Modelling.
CoRR
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
2019 J jnl
Real Time Pattern Matching with Dynamic Normalization.
CoRR
Renzhi Wu, Sergey Sukhanov, Christian Debes