Chengjin Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 53

Top Topics

Temporal Knowledge

Graph Embedding

Geometric Algebra

Top Venues

Publications

Zhanpeng Chen, Chengjin Xu, Yiyan Qi, Jian Guo
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training. CoRR (2024)
Xuhui Jiang, Yuxing Tian, Fengrui Hua, Chengjin Xu, Yuanzhuo Wang, Jian Guo
A Survey on Large Language Model Hallucination via a Creativity Perspective. CoRR (2024)
Shengjie Ma, Chengjin Xu, Xuhui Jiang, Muzhi Li, Huaren Qu, Jian Guo
Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval. CoRR (2024)
Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. CoRR (2024)
Cehao Yang, Chengjin Xu, Yiyan Qi
Financial Knowledge Large Language Model. CoRR (2024)
Chengjin Xu, Muzhi Li, Cehao Yang, Xuhui Jiang, Lumingyuan Tang, Yiyan Qi, Jian Guo
Context Graph. CoRR (2024)
Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang
Unlocking the Power of Large Language Models for Entity Alignment. CoRR (2024)
Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. NAACL-HLT (2024)
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW (2024)
Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang
Unlocking the Power of Large Language Models for Entity Alignment. ACL (1) (2024)
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. ICLR (2024)
Haohan Zhang, Fengrui Hua, Chengjin Xu, Jian Guo, Hao Kong, Ruiting Zuo
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements? CoRR (2023)
Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning. EMNLP (Findings) (2023)
Fenglong Su, Chengjin Xu, Han Yang, Zhongwu Chen, Ning Jing
Neural entity alignment with cross-modal supervision. Inf. Process. Manag. 60 (2) (2023)
Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo
ChartBench: A Benchmark for Complex Visual Reasoning in Charts. CoRR (2023)
Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng
UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks 158 (2023)
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. CoRR (2023)
Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma
Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. DASFAA (3) (2023)
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo
On the Evolution of Knowledge Graphs: A Survey and Perspective. CoRR (2023)
Baogui Xu, Chengjin Xu, Bing Su
Cross-Modal Graph Attention Network for Entity Alignment. ACM Multimedia (2023)
Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) (2023)
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. CoRR (2023)
Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, You Dou
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. CoRR (2023)
Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. CoRR (2023)
Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su
Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. ECAI (2023)
Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph. NeurIPS (2023)
Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. SIGIR (2023)
Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. WWW (2023)
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
Ultrahyperbolic Knowledge Graph Embeddings. KDD (2022)
Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann
Time-aware Entity Alignment using Temporal Relational Attention. WWW (2022)
Xueyuan Lin, Chengjin Xu, Haihong E, Fenglong Su, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph. CoRR (2022)
Chengjin Xu, Fenglong Su, Jens Lehmann
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. CoRR (2022)
Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion. CoRR (2022)
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
Ultrahyperbolic Knowledge Graph Embeddings. CoRR (2022)
Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) (2021)
Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN (2021)
Chengjin Xu, Fenglong Su, Jens Lehmann
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. EMNLP (1) (2021)
Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) (2021)
Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. NAACL-HLT (2021)
Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR (2021)
Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann
The Effect of Rule Injectionin a Leakage Free Dataset. KR4L@ECAI (2020)
Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. CoRR (2020)
Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann
Knowledge Graph Embeddings in Geometric Algebras. COLING (2020)
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. COLING (2020)
Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI (2020)
Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) (2020)
Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann
Knowledge Graph Embeddings in Geometric Algebras. CoRR (2020)
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. CoRR (2020)
Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. CoRR (2019)
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. CoRR (2019)
Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. CoRR (2019)