Fangzhi Xu - Concepedia

Author

Fangzhi Xu

Xi'an Jiaotong University

Also Known As

Fangzhi Xu, Xu, Fangzhi

Publications

326

Citations

H-Index

Concepts

All Affiliations

Xi'an Jiaotong University Beijing Institute of Big Data Research Nanyang Technological University

About

Fangzhi Xu is an author at Xi'an Jiaotong University specializing in automated reasoning, engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	201
2	Language Studies	3	3	139
3	Medicine	1	1	39
4	Social Sciences	1	1	19
5	Cell Biology	1	1	39

Fangzhi Xu

Publications

283

Citations

H-Index

Page 1

	Year	Citations
Fusing topology contexts and logical rules in language models for knowledge graph completion Qika Lin, Rui Mao, Jun Liu, Information Fusion EngineeringGraph TheoryKnowledge ExtractionKnowledge Graph EmbeddingsAutomated Reasoning	2022	68
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction Qika Lin, Jun Liu, Fangzhi Xu, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval Artificial IntelligenceValid TriplesEngineeringMachine LearningSemantic Web	2022	50
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning Qika Lin, Jun Liu, Rui Mao, Artificial IntelligenceExplainable Extrapolation ReasoningEngineeringMachine LearningModel-based Reasoning	2023	43
Lysophosphatidylcholine disrupts cell adhesion and induces anoikis in hepatocytes Hao Chen, Jiarui Ma, Jin Liu, FEBS Letters Cell AdhesionApoptosisCell DeathCytoskeletonDetachment-induced Apoptosis	2022	39
Logiformer Fangzhi Xu, Jun Liu, Qika Lin, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval EngineeringTextual EntailmentCorpus LinguisticsText MiningNatural Language Processing	2022	21
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents Kanzhi Cheng, Qiushi Sun, Yougang Chu,	2024	21
Contrastive Graph Representations for Logical Formulas Embedding Qika Lin, Jun Liu, Lingling Zhang, IEEE Transactions on Knowledge and Data Engineering Artificial IntelligenceSymbolic LearningEngineeringGraph TheoryNeural Networks (Machine Learning)	2021	19
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models Fangzhi Xu, Zhiyong Wu, Qiushi Sun,	2024	12
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond Fangzhi Xu, Qika Lin, Jiawei Han, arXiv (Cornell University)	2023	10

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