Kewei Cheng

According to our database, Kewei Cheng authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.

Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun

CoRR, 2024

2023

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.

Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu

CoRR, 2023

Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts.

Alan Aguilar Jaramillo, Ben Gorr, Vinay Ravindra, Cédric H. David, Molly K. Stroud, Ankur Mehta, George H. Allen, Wooyeong Cho, Kewei Cheng, Huilin Gao, Yizhou Sun, Zida Wu, Daniel Selva

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web.

Ben Gorr, Alan Aguilar Jaramillo, Zida Wu, Wooyeong Cho, Kewei Cheng, Molly K. Stroud, Vinay Ravindra, Cédric H. David, Huilin Gao, Yizhou Sun, Ankur Mehta, George H. Allen, Daniel Selva

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Neural Compositional Rule Learning for Knowledge Graph Reasoning.

Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.

Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

PGE: Robust Product Graph Embedding Learning for Error Detection.

Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun

Proc. VLDB Endow., 2022

RLogic: Recursive Logical Rule Learning from Knowledge Graphs.

Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang

IEEE Intell. Syst., 2021

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.

Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2019

2018

Feature Selection: A Data Perspective.

Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu

ACM Comput. Surv., 2018

Streaming Link Prediction on Dynamic Attributed Networks.

Jundong Li, Kewei Cheng, Liang Wu, Huan Liu

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Unsupervised Feature Selection in Signed Social Networks.

Kewei Cheng, Jundong Li, Huan Liu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised Sentiment Analysis with Signed Social Networks.

Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

FeatureMiner: A Tool for Interactive Feature Selection.

Kewei Cheng, Jundong Li, Huan Liu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016