Kewei Cheng

28 papers A* 6A 2C 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs.
WWW
Qirui Hao, Kewei Cheng, Tongze Zhang, Hongyuan Liu, Junming Shao, Carl Yang
2026 J jnl
Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning.
CoRR
Xintong Li, Sha Li, Rongmei Lin, Hongye Jin, Linwei Li, Hejie Cui, Sarah Zhang, Chia-Yuan Chang, Kewei Cheng, Besnik Fetahu, Priyanka Nigam, Jingbo Shang, Bing Yin
2025 — conf
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.
NAACL (Long Papers)
Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025 J jnl
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.
CoRR
Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2024 J jnl
Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2024 J jnl
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR
Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun
2024 — —
Neural-Symbolic Methods for Knowledge Graph Reasoning
Kewei Cheng
2024 J jnl
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey.
ACM Trans. Knowl. Discov. Data
Kewei Cheng, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Yizhou Sun
2024 A* conf
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.
EMNLP
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
2024 J jnl
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.
CoRR
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
2023 C conf
Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts.
IGARSS
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
2023 J jnl
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.
CoRR
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2023 C conf
Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web.
IGARSS
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
2023 A* conf
Neural Compositional Rule Learning for Knowledge Graph Reasoning.
ICLR
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
2023 J jnl
Neural Compositional Rule Learning for Knowledge Graph Reasoning.
CoRR
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
2023 — conf
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
ACL (industry)
Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022 J jnl
PGE: Robust Product Graph Embedding Learning for Error Detection.
CoRR
Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022 J jnl
PGE: Robust Product Graph Embedding Learning for Error Detection.
Proc. VLDB Endow.
Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022 A* conf
RLogic: Recursive Logical Rule Learning from Knowledge Graphs.
KDD
Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun
2021 J jnl
SecureBoost: A Lossless Federated Learning Framework.
IEEE Intell. Syst.
Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang
2021 — conf
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.
EMNLP (1)
Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun
2019 J jnl
SecureBoost: A Lossless Federated Learning Framework.
CoRR
Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang
2018 J jnl
Feature Selection: A Data Perspective.
ACM Comput. Surv.
Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2018 A conf
Streaming Link Prediction on Dynamic Attributed Networks.
WSDM
Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
2017 A* conf
Unsupervised Feature Selection in Signed Social Networks.
KDD
Kewei Cheng, Jundong Li, Huan Liu
2017 A* conf
Unsupervised Sentiment Analysis with Signed Social Networks.
AAAI
Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
2016 J jnl
Feature Selection: A Data Perspective.
CoRR
Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
2016 A conf
FeatureMiner: A Tool for Interactive Feature Selection.
CIKM
Kewei Cheng, Jundong Li, Huan Liu