Selected Publications

Preprints

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

Conference Publications

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

2. 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).

3. 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). ICML Workshop on Graph Representation Learning and Beyond 2020.

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

5. 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).

6. 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).

7. 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).

8. 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, Qiang Yang
   IEEE Intelligent Systems, 2021.

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. NoiGAN: Noise Aware Knowledge Graph Embedding with GAN.
   Kewei Cheng, Yikai Zhu, Ming Zhang, Yizhou Sun
   DLG-KDD’20 Workshop

2. SecureBoost: A Lossless Federated Learning Framework
   Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang
   FL-IJCAI 2019 Workshop