Tianxing Wu - RankMe

91 papers A* 11A 3B 3Misc 2Journal 44Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws. AAAI Nan Hu, Yike Wu, Jiaye Li, Huikang Hu, Guilin Qi, Songlin Zhai, Yongrui Chen, Tianxing Wu, Tongtong Wu, Jiaoyan Chen, Jeff Z. Pan
2025	A*	`conf`	ARMR: Adaptively Responsive Network for Medication Recommendation. IJCAI Feiyue Wu, Tianxing Wu, Shenqi Jing
2025	J	`jnl`	ARMR: Adaptively Responsive Network for Medication Recommendation. CoRR Feiyue Wu, Tianxing Wu, Shenqi Jing
2025	J	`jnl`	Category-Aware Next Event Prediction Based on Temporal Influence. Int. J. Softw. Eng. Knowl. Eng. Peiji Yu, Tianxing Wu
2025	A*	`conf`	City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data. IJCAI Tianxing Wu, Lizhe Cao, Shuang Wang, Jiming Wang, Shutong Zhu, Yerong Wu, Yuqing Feng
2025	J	`jnl`	City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data. CoRR Tianxing Wu, Lizhe Cao, Shuang Wang, Jiming Wang, Shutong Zhu, Yerong Wu, Yuqing Feng
2025	J	`jnl`	Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs. Proc. ACM Manag. Data Yuxiang Wang, Zhangyang Peng, Xiangyu Ke, Xiaoliang Xu, Tianxing Wu, Yuan Gao
2025	J	`jnl`	Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers. CoRR Shuang Wang, He Zhang, Tianxing Wu, Yueyou Zhang, Wei Emma Zhang, Quan Z. Sheng
2025	J	`jnl`	Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers. IEEE Trans. Serv. Comput. Shuang Wang, He Zhang, Tianxing Wu, Yueyou Zhang, Wei Emma Zhang, Quan Z. Sheng
2025	J	`jnl`	Enhancing Environmental Robustness in Few-Shot Learning via Conditional Representation Learning. IEEE Trans. Image Process. Qianyu Guo, Jingrong Wu, Tianxing Wu, Haofen Wang, Weifeng Ge, Wenqiang Zhang
2025	J	`jnl`	Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning. CoRR Qianyu Guo, Jingrong Wu, Tianxing Wu, Haofen Wang, Weifeng Ge, Wenqiang Zhang
2025	J	`jnl`	K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling. CoRR Yongrui Chen, Yi Huang, Yunchang Liu, Shenyu Zhang, Junhao He, Tongtong Wu, Guilin Qi, Tianxing Wu
2025	J	`jnl`	LLM+KG@VLDB 24 Workshop Summary. SIGMOD Rec. Arijit Khan, Tianxing Wu, Xi Chen
2025	A*	`conf`	Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. EMNLP Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
2025	J	`jnl`	Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. CoRR Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
2025	J	`jnl`	Large-Scale Community Key-Member Search: An Efficient Approach Based on Random Walks. Big Data Min. Anal. Yuyang Zhao, Yuxiang Wang, Xiaoliang Xu, Yue Wu, Tianxing Wu, Xiangyu Ke
2025	J	`jnl`	MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining. CoRR Ruiqi Wu, Na Su, Chenran Zhang, Tengfei Ma, Tao Zhou, Zhiting Cui, Nianfeng Tang, Tianyu Mao, Yi Zhou, Wen Fan, Tianxing Wu, Shenqi Jing, Huazhu Fu
2025	J	`jnl`	Multi-hop reasoning over sparse knowledge graphs with deep reinforcement learning. Expert Syst. Appl. Yiyang Liu, Lejun Fu, Yukai Fu, Tianxing Wu, Hongfei Bai
2025	J	`jnl`	OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases. CoRR Yongrui Chen, Zhiqiang Liu, Jing Yu, Lin Ren, Nan Hu, Xinbang Dai, Jiajun Liu, Jiazhen Kang, Shenyu Zhang, Xinda Wang, Keyan Ding, Pengfei Shen, Haolei Zhu, Hongjie Deng, Yisong Wang, Tongtong Wu, Sheng Bi, Wen Zhang, Tianxing Wu, Qiu Ji, Haofen Wang, Wenliang Chen, Huajun Chen, Guilin Qi
2025	—	`conf`	STM: A Spatio-Temporal Model for Dynamic Graph Fraud Detection. DASFAA (3) Yuxiang Wang, Runhuai Chen, Bin Chen, Zhiyuan Yu, Tianxing Wu
2025	J	`jnl`	Supervised prediction of post-stroke upper limb motor recovery with uncertain knowledge graph and large language model. Health Inf. Sci. Syst. Tianxing Wu, Xixi Wu, Jian Li, Hangyu Sha, Haofen Wang, Ya Chen, Yali Jiang, Li Liu, Yue Lan, Xiao Lu
2025	J	`jnl`	Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning. CoRR Tianxing Wu, Shutong Zhu, Jingting Wang, Ning Xu, Guilin Qi, Haofen Wang
2025	B	`conf`	Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. EDBT Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
2025	J	`jnl`	Workflow offloading for energy minimization under deep reinforcement learning. Computing Shuang Wang, Yibo Liu, Tianxing Wu, Yang Zhang, Quan Z. Sheng
2024	J	`jnl`	Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks. Inf. Sci. Yuxiang Wang, Chengjie Gu, Xiaoliang Xu, Xinjun Zeng, Xiangyu Ke, Tianxing Wu
2024	J	`jnl`	Embedding Ontologies via Incorporating Extensional and Intensional Knowledge. CoRR Keyu Wang, Guilin Qi, Jiaoyan Chen, Tianxing Wu
2024	J	`jnl`	Embedding Ontologies via Incorporating Extensional and Intensional Knowledge. Data Intell. Keyu Wang, Guilin Qi, Jiaoyan Chen, Yi Huang, Tianxing Wu
2024	A	`conf`	Fast Human Action Recognition via Millimeter Wave Radar Point Cloud Sequences Learning. CIKM Tongfei Shao, Zheyu Du, Chuanyou Li, Tianxing Wu, Meng Wang
2024	J	`jnl`	KGroot: A knowledge graph-enhanced method for root cause analysis. Expert Syst. Appl. Tingting Wang, Guilin Qi, Tianxing Wu
2024	J	`jnl`	KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks. CoRR Tingting Wang, Guilin Qi, Tianxing Wu
2024	J	`jnl`	Knowledge-enhanced model with dual-graph interaction for confusing legal charge prediction. Expert Syst. Appl. Sheng Bi, Zafar Ali, Tianxing Wu, Guilin Qi
2024	—	`conf`	LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. VLDB Workshops Arijit Khan, Tianxing Wu, Xi Chen
2024	J	`jnl`	LLM+KG@VLDB'24 Workshop Summary. CoRR Arijit Khan, Tianxing Wu, Xi Chen
2024	—	`ed.`	Proceedings of the First International OpenKG Workshop: Large Knowledge-Enhanced Models co-locacted with The International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju Island, South Korea, August 3, 2024. LKM@IJCAI Ningyu Zhang, Tianxing Wu, Meng Wang, Guilin Qi, Haofen Wang, Huajun Chen
2024	A*	`conf`	Scalable Community Search over Large-scale Graphs based on Graph Transformer. SIGIR Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu
2024	A*	`conf`	Scalable Community Search with Accuracy Guarantee on Attributed Graphs. ICDE Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu
2024	J	`jnl`	Scalable Community Search with Accuracy Guarantee on Attributed Graphs. CoRR Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu
2024	B	`conf`	Sequential Recommendation with Temporal Influence Based on Hawkes Process. COMPSAC Peiji Yu, Tianxing Wu, Dongjing Wang, Dengwei Xu
2024	—	`conf`	Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion. ISWC (1) Jiewen Hou, Tianxing Wu, Jingting Wang, Shuang Wang, Guilin Qi
2024	J	`jnl`	Triple confidence measurement in knowledge graph with multiple heterogeneous evidences. World Wide Web (WWW) Tianxing Wu, Kai Yao, Wei Li, Guilin Qi, Yijun Yu, Nengwen Zhao, Renyou Zhang, Peibo Duan
2024	Misc	`conf`	Uncertain Knowledge Graph Completion with Rule Mining. WISA Yilin Chen, Tianxing Wu, Yunchang Liu, Yuxiang Wang, Guilin Qi
2024	A*	`conf`	Visual-Language Collaborative Representation Network for Broad-Domain Few-Shot Image Classification. ACM Multimedia Qianyu Guo, Jieji Ren, Haofen Wang, Tianxing Wu, Weifeng Ge, Wenqiang Zhang
2024	J	`jnl`	Which is better? Taxonomy induction with learning the optimal structure via contrastive learning. Knowl. Based Syst. Yuan Meng, Songlin Zhai, Zhihua Chai, Yuxin Zhang, Tianxing Wu, Guilin Qi, Wei Song
2024	A*	`conf`	unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation Learning. SIGIR Jingting Wang, Tianxing Wu, Shilin Chen, Yunchang Liu, Shutong Zhu, Wei Li, Jingyi Xu, Guilin Qi
2023	J	`jnl`	A Civil Aviation Customer Service Ontology and Its Applications. Data Intell. Meixiang Lv, Xudong Cao, Tianxing Wu, Yuehua Li
2023	Misc	`conf`	AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder. ISWC Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang, Shenqi Jing
2023	J	`jnl`	AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder. CoRR Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang, Shenqi Jing
2023	—	`conf`	CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction. ACL (Findings) Xinnan Guo, Wentao Deng, Yongrui Chen, Yang Li, Mengdi Zhou, Guilin Qi, Tianxing Wu, Dong Yang, Liubin Wang, Yong Pan
2023	A	`conf`	Effective and Efficient Community Search with Graph Embeddings. ECAI Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke
2023	J	`jnl`	Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through ( ACM Trans. Knowl. Discov. Data Yuxiang Wang, Jun Liu, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Xiaoxuan Gou
2023	J	`jnl`	Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs. IEEE Trans. Knowl. Data Eng. Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang
2022	—	`ed.`	CCKS 2022 - Evaluation Track - 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers CCKS (Evaluation Track) Ningyu Zhang, Meng Wang, Tianxing Wu, Wei Hu, Shumin Deng
2022	J	`jnl`	Efficiently embedding dynamic knowledge graphs. Knowl. Based Syst. Tianxing Wu, Arijit Khan, Melvin Yong, Guilin Qi, Meng Wang
2022	A*	`conf`	Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity. IJCAI Xinnan Guo, Yongrui Chen, Guilin Qi, Tianxing Wu, Hao Xu
2022	—	`conf`	Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding. CCKS Jingting Wang, Tianxing Wu, Jiatao Zhang
2022	—	`conf`	Knowledge Graph Construction for Foreign Military Unmanned Systems. CCKS (Evaluation Track) Yilin Chen, Jingting Wang, Shutong Zhu, Yuang Gu, Haoyu Dai, Jingyi Xu, Yipeng Zhu, Tianxing Wu
2022	J	`jnl`	Learning heterogeneous graph embedding for Chinese legal document similarity. Knowl. Based Syst. Sheng Bi, Zafar Ali, Meng Wang, Tianxing Wu, Guilin Qi
2022	—	`conf`	Medical Schema Matching using Knowledge Graph Embedding (short paper). EEKE@JCDL Chaoyu Gao, Tianxing Wu, Shengqi Jing, Yuxiang Wang
2021	—	`conf`	Auto Insurance Knowledge Graph Construction and Its Application to Fraud Detection. IJCKG Long Zhang, Tianxing Wu, Xiuqi Chen, Bingjie Lu, Chongning Na, Guilin Qi
2021	—	`conf`	Gaussian Metric Learning for Few-Shot Uncertain Knowledge Graph Completion. DASFAA (1) Jiatao Zhang, Tianxing Wu, Guilin Qi
2021	—	`conf`	Online Updates of Knowledge Graph Embedding. COMPLEX NETWORKS Luo Fei, Tianxing Wu, Arijit Khan
2021	J	`jnl`	Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph. CoRR Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang
2021	J	`jnl`	Top-k star queries on knowledge graphs through semantic-aware bounding match scores. Knowl. Based Syst. Yuxiang Wang, Xiaoliang Xu, Qifan Hong, Jiahui Jin, Tianxing Wu
2021	—	`conf`	Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT. CCKS (Evaluation Track) Yike Wu, Yipeng Zhu, Jingchen Li, Chengye Zhang, Tianling Gong, Xiyuan Du, Tianxing Wu
2020	J	`jnl`	Knowledge graph construction from multiple online encyclopedias. World Wide Web Tianxing Wu, Haofen Wang, Cheng Li, Guilin Qi, Xing Niu, Meng Wang, Lin Li, Chaomin Shi
2020	A*	`conf`	Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. ICDE Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan
2019	J	`jnl`	Adaptive local learning regularized nonnegative matrix factorization for data clustering. Appl. Intell. Yongpan Sheng, Meng Wang, Tianxing Wu, Han Xu
2019	—	`conf`	Adversarial Discriminative Denoising for Distant Supervision Relation Extraction. DASFAA (3) Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, Meng Wang
2019	J	`jnl`	Efficiently Embedding Dynamic Knowledge Graphs. CoRR Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li
2019	—	`conf`	Emerging Entity Discovery Using Web Sources. CCKS Lei Zhang, Tianxing Wu, Liang Xu, Meng Wang, Guilin Qi, Harald Sack
2019	B	`conf`	Incorporating Human Knowledge in Neural Relation Extraction with Reinforcement Learning. IJCNN Bing Liu, Guilin Qi, Lu Pan, Shangfu Duan, Tianxing Wu
2019	—	`conf`	Incorporating Term Definitions for Taxonomic Relation Identification. JIST Yongpan Sheng, Tianxing Wu, Xin Wang
2019	J	`jnl`	Language-Independent Type Inference of the Instances from Multilingual Wikipedia. Int. J. Semantic Web Inf. Syst. Tianxing Wu, Guilin Qi, Bin Luo, Lei Zhang, Haofen Wang
2019	—	`conf`	Mining Hypernym-Hyponym Relations from Social Tags via Tag Embedding. ICAIS (3) Mengyi Zhang, Tianxing Wu, Qiu Ji, Guilin Qi, Zhixin Sun
2019	J	`jnl`	Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. CoRR Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan
2018	J	`jnl`	Detecting bursts in sentiment-aware topics from social media. Knowl. Based Syst. Kang Xu, Guilin Qi, Junheng Huang, Tianxing Wu, Xuefeng Fu
2018	J	`jnl`	On building and publishing Linked Open Schema from social Web sites. J. Web Semant. Tianxing Wu, Haofen Wang, Guilin Qi, Jiangang Zhu, Tong Ruan
2018	—	`conf`	Survey on Schema Induction from Knowledge Graphs. CCKS Qiu Ji, Guilin Qi, Huan Gao, Tianxing Wu
2017	—	`conf`	A Fast and Effective Framework for Lifelong Topic Model with Self-learning Knowledge. CCL Kang Xu, Feng Liu, Tianxing Wu, Sheng Bi, Guilin Qi
2017	—	`conf`	A Sentiment and Topic Model with Timeslice, User and Hashtag for Posts on Social Media. CCKS Kang Xu, Junheng Huang, Tianxing Wu
2017	—	`conf`	Cross-Lingual Taxonomy Alignment with Bilingual Knowledge Graph Embeddings. JIST Tianxing Wu, Du Zhang, Lei Zhang, Guilin Qi
2017	—	`conf`	Encoding Category Correlations into Bilingual Topic Modeling for Cross-Lingual Taxonomy Alignment. ISWC (1) Tianxing Wu, Lei Zhang, Guilin Qi, Xuan Cui, Kang Xu
2017	J	`jnl`	Incorporating Wikipedia concepts and categories as prior knowledge into topic models. Intell. Data Anal. Kang Xu, Guilin Qi, Junheng Huang, Tianxing Wu
2017	—	`conf`	KG-Buddhism: The Chinese Knowledge Graph on Buddhism. JIST Tianxing Wu, Cong Gao, Guilin Qi, Lei Zhang, Chuanqi Dong, He Liu, Du Zhang
2016	A	`conf`	A Joint Model for Sentiment-Aware Topic Detection on Social Media. ECAI Kang Xu, Guilin Qi, Junheng Huang, Tianxing Wu
2016	A*	`conf`	Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model. AAAI Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui
2016	—	`conf`	Entity Linking in Web Tables with Multiple Linked Knowledge Bases. JIST Tianxing Wu, Shengjia Yan, Zhixin Piao, Liang Xu, Ruiming Wang, Guilin Qi
2014	—	`conf`	Learning Disjointness Axioms With Association Rule Mining and Its Application to Inconsistency Detection of Linked Data. CSWS Yanfang Ma, Huan Gao, Tianxing Wu, Guilin Qi
2014	—	`conf`	Mining Type Information from Chinese Online Encyclopedias. JIST Tianxing Wu, Shaowei Ling, Guilin Qi, Haofen Wang
2014	—	`conf`	On Publishing Chinese Linked Open Schema. ISWC (1) Haofen Wang, Tianxing Wu, Guilin Qi, Tong Ruan
2014	—	`conf`	Zhishi.schema Explorer: A Platform for Exploring Chinese Linked Open Schema. CSWS Tianxing Wu, Guilin Qi, Haofen Wang