LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. - Mojtaba Nayyeri; Chengjin Xu; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. - Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Hamed Shariat Yazdi; Jens Lehmann 001 (CoRR, 2019)

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. - Chengjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. - Chengjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Hamed Shariat Yazdi; Jens Lehmann 001 (COLING, 2020)

Knowledge Graph Embeddings in Geometric Algebras. - Chengjin Xu; Mojtaba Nayyeri; Yung-Yu Chen; Jens Lehmann 001 (COLING, 2020)

The Effect of Rule Injectionin a Leakage Free Dataset. - Mirza Mohtashim Alam; Mojtaba Nayyeri; Chengjin Xu; Md. Rashad Al Hasan Rony; Hamed Shariat Yazdi; Afshin Sadeghi; Jens Lehmann 001 (KR4L@ECAI, 2020)

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. - Chengjin Xu; Mojtaba Nayyeri; Sahar Vahdati; Jens Lehmann 001 (KR4L@ECAI, 2020)

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. - Mojtaba Nayyeri; Chengjin Xu; Sahar Vahdati; Nadezhda Vassilyeva; Emanuel Sallinger; Hamed Shariat Yazdi; Jens Lehmann 001 (ISWC (1), 2020)

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. - Mojtaba Nayyeri; Chengjin Xu; Jens Lehmann 001; Sahar Vahdati (CoRR, 2020)

Knowledge Graph Representation Learning using Ordinary Differential Equations. - Mojtaba Nayyeri; Chengjin Xu; Franca Hoffmann; Mirza Mohtashim Alam; Jens Lehmann 001; Sahar Vahdati (EMNLP (1), 2021)

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. - Chengjin Xu; Fenglong Su; Jens Lehmann 001 (EMNLP (1), 2021)

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. - Chengjin Xu; Yung-Yu Chen; Mojtaba Nayyeri; Jens Lehmann 001 (NAACL-HLT, 2021)

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. - Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Sahar Vahdati; Mirza Mohtashim Alam; Hamed Shariat Yazdi; Jens Lehmann 001 (PAKDD (3), 2021)

Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. - Chengjin Xu; Mojtaba Nayyeri; Sahar Vahdati; Jens Lehmann 001 (CoRR, 2021)

Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Chuan Zhou 001; Steffen Staab (KDD, 2022)

Time-aware Entity Alignment using Temporal Relational Attention. - Chengjin Xu; Fenglong Su; Bo Xiong; Jens Lehmann 001 (WWW, 2022)

Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. - Chengjin Xu; Fenglong Su; Jens Lehmann 001 (CoRR, 2022)

Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. - Xuhui Jiang; Yinghan Shen; Yuanzhuo Wang; Huawei Shen; Chengjin Xu; Shengjie Ma (DASFAA (3), 2023)

Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. - Baogui Xu; Chengjin Xu; Zhiwu Lu 001; Bing Su 001 (ECAI, 2023)

Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning. - Zhongwu Chen; Chengjin Xu; Fenglong Su; Zhen Huang 006; Yong Dou (EMNLP (Findings), 2023)

Cross-Modal Graph Attention Network for Entity Alignment. - Baogui Xu; Chengjin Xu; Bing Su 001 (ACM Multimedia, 2023)

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph. - Xueyuan Lin; Haihong E; Chengjin Xu; Gengxian Zhou; Haoran Luo 001; Tianyi Hu; Fenglong Su; Ningyuan Li 002; Mingzhi Sun (NeurIPS, 2023)

Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. - Bowen Song; Chengjin Xu; Kossi Amouzouvi; Maocai Wang; Jens Lehmann 001; Sahar Vahdati (ECML/PKDD (3), 2023)

Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. - Zhongwu Chen; Chengjin Xu; Fenglong Su; Zhen Huang 006; Yong Dou (SIGIR, 2023)

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. - Zhongwu Chen; Chengjin Xu; Fenglong Su; Zhen Huang 006; Yong Dou (WWW, 2023)

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. - Zhongwu Chen; Chengjin Xu; Fenglong Su; Zhen Huang 006; You Dou (CoRR, 2023)

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Fenglong Su; Yuanzhuo Wang; Fei Sun 001; Zixuan Li 001; Huawei Shen (CoRR, 2023)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements? - Haohan Zhang; Fengrui Hua; Chengjin Xu; Jian Guo; Hao Kong; Ruiting Zuo (CoRR, 2023)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. - Jiashuo Sun; Chengjin Xu; Lumingyuan Tang; Saizhuo Wang; Chen Lin 001; Yeyun Gong; Heung-Yeung Shum; Jian Guo (CoRR, 2023)

On the Evolution of Knowledge Graphs: A Survey and Perspective. - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Xun Sun; Lumingyuan Tang; Saizhuo Wang; Zhongwu Chen; Yuanzhuo Wang; Jian Guo (CoRR, 2023)

ChartBench: A Benchmark for Complex Visual Reasoning in Charts. - Zhengzhuo Xu; Sinan Du; Yiyan Qi; Chengjin Xu; Chun Yuan; Jian Guo (CoRR, 2023)

Neural entity alignment with cross-modal supervision. - Fenglong Su; Chengjin Xu; Han Yang; Zhongwu Chen; Ning Jing (Inf. Process. Manag., 2023)

Temporal Knowledge Graph Embedding and Reasoning - Chengjin Xu (2023)

UniSKGRep: A unified representation learning framework of social network and knowledge graph. - Yinghan Shen; Xuhui Jiang; Zijian Li 014; Yuanzhuo Wang; Chengjin Xu; Huawei Shen; Xueqi Cheng (Neural Networks, 2023)

Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. - Chengjin Xu; Mojtaba Nayyeri; Yung-Yu Chen; Jens Lehmann 001 (IEEE Trans. Knowl. Data Eng., 2023)

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. - Mojtaba Nayyeri; Chengjin Xu; Mirza Mohtashim Alam; Jens Lehmann 001; Hamed Shariat Yazdi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unlocking the Power of Large Language Models for Entity Alignment. - Xuhui Jiang; Yinghan Shen; Zhichao Shi 001; Chengjin Xu; Wei Li 176; Zixuan Li 001; Jian Guo; Huawei Shen; Yuanzhuo Wang (ACL (1), 2024)

MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment. - Xuhui Jiang; Yinghan Shen; Zhichao Shi 001; Chengjin Xu; Wei Li 176; Huang Zihe; Jian Guo; Yuanzhuo Wang (EMNLP (Findings), 2024)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. - Jiashuo Sun; Chengjin Xu; Lumingyuan Tang; Saizhuo Wang; Chen Lin 001; Yeyun Gong; Lionel M. Ni; Heung-Yeung Shum; Jian Guo (ICLR, 2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. - Yi Luo; Zhenghao Lin; Yuhao Zhang; Jiashuo Sun; Chen Lin 001; Chengjin Xu; Xiangdong Su; Yelong Shen; Jian Guo; Yeyun Gong (NAACL-HLT, 2024)

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Yuanzhuo Wang; Fenglong Su; Zhichao Shi 001; Fei Sun 001; Zixuan Li 001; Jian Guo; Huawei Shen (WWW, 2024)

A Survey on Large Language Model Hallucination via a Creativity Perspective. - Xuhui Jiang; Yuxing Tian; Fengrui Hua; Chengjin Xu; Yuanzhuo Wang; Jian Guo (CoRR, 2024)

Context Graph. - Chengjin Xu; Muzhi Li; Cehao Yang; Xuhui Jiang; Lumingyuan Tang; Yiyan Qi; Jian Guo (CoRR, 2024)

Financial Knowledge Large Language Model. - Cehao Yang; Chengjin Xu; Yiyan Qi (CoRR, 2024)

Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval. - Shengjie Ma; Chengjin Xu; Xuhui Jiang; Muzhi Li; Huaren Qu; Jian Guo (CoRR, 2024)

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training. - Zhanpeng Chen; Chengjin Xu; Yiyan Qi; Jian Guo (CoRR, 2024)

ChartMoE: Mixture of Expert Connector for Advanced Chart Understanding. - Zhengzhuo Xu; Bowen Qu; Yiyan Qi; Sinan Du; Chengjin Xu; Chun Yuan; Jian Guo (CoRR, 2024)

RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering. - Zhongwu Chen; Chengjin Xu; Dingmin Wang; Zhen Huang 006; Yong Dou; Jian Guo (CoRR, 2024)

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models. - Xiaojun Wu; Junxi Liu; Huanyi Su; Zhouchi Lin; Yiyan Qi; Chengjin Xu; Jiajun Su; Jiajie Zhong; Fuwei Wang; Saizhuo Wang; Fengrui Hua; Jia Li; et al. (CoRR, 2024)

A Survey on LLM-as-a-Judge. - Jiawei Gu; Xuhui Jiang; Zhichao Shi 001; Hexiang Tan; Xuehao Zhai; Chengjin Xu; Wei Li 176; Yinghan Shen; Shengjie Ma; Honghao Liu; Yuanzhuo Wang; Jian Guo (CoRR, 2024)

Code for Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Steffen Staab (DaRUS, 2024)

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. - Muzhi Li; Cehao Yang; Chengjin Xu; Zixing Song; Xuhui Jiang; Jian Guo; Ho-fung Leung; Irwin King (AAAI, 2025)

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data. - Cehao Yang; Xueyuan Lin; Chengjin Xu; Xuhui Jiang; Shengjie Ma; Aofan Liu; Hui Xiong 001; Jian Guo (ACL (Findings), 2025)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation. - Shengjie Ma; Chengjin Xu; Xuhui Jiang; Muzhi Li; Huaren Qu; Cehao Yang; Jiaxin Mao; Jian Guo (ICLR, 2025)

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding. - Zhengzhuo Xu; Bowen Qu; Yiyan Qi; Sinan Du; Chengjin Xu; Chun Yuan; Jian Guo (ICLR, 2025)

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion. - Muzhi Li; Cehao Yang; Chengjin Xu; Xuhui Jiang; Yiyan Qi; Jian Guo; Ho-fung Leung; Irwin King (NAACL (Long Papers), 2025)

Research on the Relationship Between the Credibility of Consumer Online Reviews and Purchase Decisions Under International Law: An Empirical Analysis Based on E-Commerce Platform Data. - Chengjin Xu; Zhe Zhang; Yanyan Shen (J. Organ. End User Comput., 2025)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator. - Bokai Cao; Xueyuan Lin; Yiyan Qi; Chengjin Xu; Cehao Yang; Jian Guo (CoRR, 2025)

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning. - Peixian Ma; Xialie Zhuang; Chengjin Xu; Xuhui Jiang; Ran Chen; Jian Guo (CoRR, 2025)

Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models. - Xuhui Jiang; Shengjie Ma; Chengjin Xu; Cehao Yang; Liyu Zhang 009; Jian Guo (CoRR, 2025)

Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning. - Cehao Yang; Xueyuan Lin; Chengjin Xu; Xuhui Jiang; Xiaojun Wu; Honghao Liu; Hui Xiong 001; Jian Guo (CoRR, 2025)