Selected Publications

Preprints

1. Chordal-GCN: Exploiting Sparsity in Training Large-Scale Graph Convolutional Networks. [PDF]
   Xin Jiang*, Kewei Cheng*, Song Jiang* and Yizhou Sun
   

Conference Publications

1. Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. [PDF]
   Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong and Yizhou Sun
   Annual Meeting of the Association for Computational Linguistics (ACL 2023) - Industry Track

2. Neural Compositional Rule Learning for Knowledge Graph Reasoning. [PDF]) [Code] [Slides]
   Kewei Cheng, Nesreen K. Ahmed and Yizhou Sun
   International Conference on Learning Representations (ICLR 2023).

3. RLogic: Recursive Logical Rule Learning from Knowledge Graphs. [PDF] [Code] [Slides]
   Kewei Cheng, Jiahao Liu, Wei Wang and Yizhou Sun
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).

4. PGE: Product Graph Embedding Learning for Error Detection. [PDF] [Slides]
   Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong and Yizhou Sun
   International Conference on Very Large Databases (VLDB 2022).

5. UniKER: A Unified Framework for Combining Embedding and DefiniteHorn Rule Reasoning for Knowledge Graph Inference [PDF] [Code] [Slides]
   Kewei Cheng, Ziqing Yang, Ming Zhang and Yizhou Sun
   Conference on Empirical Methods in Natural Language Processing (EMNLP 2021).

6. Decentralized Context-Based On-Board Planning for Earth Observation Missions. [PDF]
   Antoni Viros Martin, Kewei Cheng, Zhaoliang Zheng, Amy Fang, Hadas Kress-Gazit, Ankur Mehta, Yizhou Sun and Daniel Selva
   AIAA Scitech 2021 Forum.

7. Streaming Link Prediction on Dynamic Attributed Networks. [PDF]
   Jundong Li, Kewei Cheng, Liang Wu and Huan Liu
   ACM International Conference on Web Search and Data Mining (WSDM 2018).

8. Unsupervised Feature Selection in Signed Social Networks. [PDF]
   Kewei Cheng*, Jundong Li* and Huan Liu
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017).

9. Unsupervised Sentiment Analysis with Signed Social Networks. [PDF]
   Kewei Cheng, Jundong Li, Jiliang Tang and Huan Liu
   Association for the Advancement of Artificial Intelligence (AAAI 2017).

10. FeatureMiner: A Tool for Interactive Feature Selection. [PDF] [Software]
    Kewei Cheng, Jundong Li and Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM 2016).

Journal Papers

1. SecureBoost: A Lossless Federated Learning Framework [PDF] [Code]
   Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos and Qiang Yang
   IEEE Intelligent Systems, 2021 (Best Paper Award)

2. Feature Selection: A Data Perspective [PDF] [Website]
   Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang and Huan Liu
   ACM Computing Surveys (CSUR 2017)

3. Periodic Sweep Coverage Scheme Based on Periodic Vehicle Routing Problem [PDF]
   Li Shu, Kewei Cheng, Xiaowen Zhang and Jiliu Zhou
   Journal of Networks (JNW 2014)

Workshop Papers

1. UniKER: A Unified Framework for Combining Embedding and DefiniteHorn Rule Reasoning for Knowledge Graph Inference.
   Kewei Cheng, Ziqing Yang, Ming Zhang and Yizhou Sun
   ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+@ICML’20)
   The 2rd International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’20)

2. NoiGAN: Noise Aware Knowledge Graph Embedding with GAN.
   Kewei Cheng, Yikai Zhu, Ming Zhang and Yizhou Sun
   The 2rd International Workshop on Deep Learning on Graphs: Methods and Applications (DLG- KDD’20)

3. SecureBoost: A Lossless Federated Learning Framework.
   Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos and Qiang Yang
   International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI (FL-IJCAI’19)