Kewei Cheng

Orcid: 0000-0002-2139-3451

According to our database1, Kewei Cheng authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Neural-Symbolic Methods for Knowledge Graph Reasoning
PhD thesis, 2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR, 2024

Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.
CoRR, 2023

Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Neural Compositional Rule Learning for Knowledge Graph Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
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.
Proc. VLDB Endow., 2022

RLogic: Recursive Logical Rule Learning from Knowledge Graphs.
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.
IEEE Intell. Syst., 2021

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019
SecureBoost: A Lossless Federated Learning Framework.
CoRR, 2019

2018
Feature Selection: A Data Perspective.
ACM Comput. Surv., 2018

Streaming Link Prediction on Dynamic Attributed Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017
Unsupervised Feature Selection in Signed Social Networks.
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.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
FeatureMiner: A Tool for Interactive Feature Selection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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