FeatureMiner: A Tool for Interactive Feature Selection. - Kewei Cheng; Jundong Li; Huan Liu 001 (CIKM, 2016)

Unsupervised Sentiment Analysis with Signed Social Networks. - Kewei Cheng; Jundong Li; Jiliang Tang; Huan Liu 001 (AAAI, 2017)

Unsupervised Feature Selection in Signed Social Networks. - Kewei Cheng; Jundong Li; Huan Liu 001 (KDD, 2017)

Streaming Link Prediction on Dynamic Attributed Networks. - Jundong Li; Kewei Cheng; Liang Wu 006; Huan Liu 001 (WSDM, 2018)

Feature Selection: A Data Perspective. - Jundong Li; Kewei Cheng; Suhang Wang; Fred Morstatter; Robert P. Trevino; Jiliang Tang; Huan Liu 001 (ACM Comput. Surv., 2018)

SecureBoost: A Lossless Federated Learning Framework. - Kewei Cheng; Tao Fan 002; Yilun Jin; Yang Liu 165; Tianjian Chen; Qiang Yang 001 (CoRR, 2019)

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. - Kewei Cheng; Ziqing Yang 002; Ming Zhang 004; Yizhou Sun (EMNLP (1), 2021)

SecureBoost: A Lossless Federated Learning Framework. - Kewei Cheng; Tao Fan 002; Yilun Jin; Yang Liu 165; Tianjian Chen; Dimitrios Papadopoulos 001; Qiang Yang 001 (IEEE Intell. Syst., 2021)

RLogic: Recursive Logical Rule Learning from Knowledge Graphs. - Kewei Cheng; Jiahao Liu; Wei Wang 010; Yizhou Sun (KDD, 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)

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 (ACL (industry), 2023)

Neural Compositional Rule Learning for Knowledge Graph Reasoning. - Kewei Cheng; Nesreen K. Ahmed; Yizhou Sun (ICLR, 2023)

Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web. - Ben Gorr 001; 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; et al. (IGARSS, 2023)

Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. - Alan Aguilar Jaramillo; Ben Gorr 001; Vinay Ravindra; Cédric H. David; Molly K. Stroud; Ankur Mehta; George H. Allen; Wooyeong Cho; Kewei Cheng; Huilin Gao; Yizhou Sun; Zida Wu; et al. (IGARSS, 2023)

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 (EMNLP, 2024)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Kewei Cheng; Jingfeng Yang 001; Haoming Jiang; Zhengyang Wang; Binxuan Huang; Ruirui Li 002; Shiyang Li; Zheng Li 018; Yifan Gao 001; Xian Li; Bing Yin; Yizhou Sun (CoRR, 2024)

Neural-Symbolic Methods for Knowledge Graph Reasoning - Kewei Cheng (2024)

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. - Kewei Cheng; Nesreen K. Ahmed; Ryan A. Rossi; Theodore L. Willke; Yizhou Sun (ACM Trans. Knowl. Discov. Data, 2024)

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks. - Shixuan Liu; Changjun Fan; Kewei Cheng; Yunfei Wang; Peng Cui 001; Yizhou Sun; Zhong Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)