Chengjin Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
15
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | BAG: Benchmarking Anomaly Detection on Dynamic Graphs. | Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu, Xiaojun Wu, Jia Li, Jian Guo |
| 2026 | ACL | Conflicts Make Large Reasoning Models Vulnerable to Attacks. | Honghao Liu, Chengjin Xu, Xuhui Jiang, Cehao Yang, Shengming Yin, Zhengwu Ma, Lionel Ni, Jian Guo |
| 2026 | ACL | JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation. | Zhichao Shi, Xuhui Jiang, Chengjin Xu, Cangli Yao, Shengjie Ma, Yinghan Shen, Zixuan Li, Jian Guo, Yuanzhuo Wang |
| 2026 | ACL | DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis. | Zhichao Shi, Cehao Yang, Hao Zhou, Xiaojun Wu, Huajie Li, Xuhui Jiang, Chengjin Xu, Yuanzhuo Wang, Jian Guo |
| 2026 | ACL | Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning. | Cehao Yang, Xueyuan Lin, Xiaojun Wu, Chengjin Xu, Xuhui Jiang, Honghao Liu, Hui Xiong, Jian Guo |
| 2026 | EACL | Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs. | Honghao Liu, Xuhui Jiang, Chengjin Xu, Cehao Yang, Yiran Cheng, Lionel Ni, Jian Guo |
| 2026 | WWW | Financial Wind Tunnel: A Retrieval-Augmented Market Simulator. | Bokai Cao, Xueyuan Lin, Yiyan Qi, Chengjin Xu, Cehao Yang, Jian Guo |
| 2025 | AAAI | 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 |
| 2025 | ACL | 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, Jian Guo |
| 2025 | EMNLP | VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training. | Zhanpeng Chen, Chengjin Xu, Yiyan Qi, Xuhui Jiang, Jian Guo |
| 2025 | EMNLP | Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models. | Xiaojun Wu, Junxi Liu, Huan-Yi Su, Zhouchi Lin, Yiyan Qi, Chengjin Xu, Jiajun Su, Jiajie Zhong, Fuwei Wang, Saizhuo Wang, Fengrui Hua, Jia Li, Jian Guo |
| 2025 | ICCV | ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning. | Zhengzhuo Xu, SiNan Du, Yiyan Qi, Siwen Lu, Chengjin Xu, Chun Yuan, Jian Guo |
| 2025 | ICLR | 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 |
| 2025 | ICLR | ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding. | Zhengzhuo Xu, Bowen Qu, Yiyan Qi, Sinan Du, Chengjin Xu, Chun Yuan, Jian Guo |
| 2025 | NAACL | 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 |
| 2024 | ACL | Unlocking the Power of Large Language Models for Entity Alignment. | Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang |
| 2024 | EMNLP | MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment. | Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Huang Zihe, Jian Guo, Yuanzhuo Wang |
| 2024 | ICLR | Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. | Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo |
| 2024 | NAACL | Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. | Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong |
| 2024 | WWW | 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, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen |
| 2023 | DASFAA | Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. | Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma |
| 2023 | ECAI | Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. | Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su |
| 2023 | EMNLP | Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning. | Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | WWW | Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. | Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | SIGIR | Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. | Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2022 | KDD | Ultrahyperbolic Knowledge Graph Embeddings. | Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab |
| 2022 | WWW | Time-aware Entity Alignment using Temporal Relational Attention. | Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann |
| 2021 | EMNLP | Knowledge Graph Representation Learning using Ordinary Differential Equations. | Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati |
| 2021 | EMNLP | Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. | Chengjin Xu, Fenglong Su, Jens Lehmann |
| 2021 | IJCNN | Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. | Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann |
| 2021 | NAACL | Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. | Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann |
| 2021 | PAKDD | 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 |
| 2020 | COLING | TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. | Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann |
| 2020 | COLING | Knowledge Graph Embeddings in Geometric Algebras. | Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann |
| 2020 | ECAI | 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 |
| 2020 | ECAI | Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. | Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann |