Jinghui Lu

According to our database, Jinghui Lu authored at least 37 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM.

Han Wang, Yuxiang Nie, Yongjie Ye, Guanyu Deng, Yanjie Wang, Shuai Li, Haiyang Yu, Jinghui Lu, Can Huang

CoRR, 2024

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective.

Rui Yang, Boming Yang, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education.

Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding.

Jinghui Lu, Haiyang Yu, Yanjie Wang, Yongjie Ye, Jingqun Tang, Ziwei Yang, Binghong Wu, Qi Liu, Hao Feng, Han Wang, Hao Liu, Can Huang

CoRR, 2024

What Makes Good Few-shot Examples for Vision-Language Models?

Zhaojun Guo, Jinghui Lu, Xuejing Liu, Rui Zhao, Zhenxing Qian, Fei Tan

CoRR, 2024

MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering.

Jingqun Tang, Qi Liu, Yongjie Ye, Jinghui Lu, Shu Wei, Chunhui Lin, Wanqing Li, Mohamad Fitri Faiz Bin Mahmood, Hao Feng, Zhen Zhao, Yanjie Wang, Yuliang Liu, Hao Liu, Xiang Bai, Can Huang

CoRR, 2024

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education.

Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.

Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin

CoRR, 2024

PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition.

Jinghui Lu, Ziwei Yang, Yanjie Wang, Xuejing Liu, Brian Mac Namee, Can Huang

CoRR, 2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.

Dongsheng Zhu, Daniel Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning.

Dongsheng Zhu, Zhenyu Mao, Jinghui Lu, Rui Zhao, Fei Tan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Evaluating Large Language Models on Wikipedia-Style Survey Generation.

Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, Irene Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

What Large Language Models Bring to Text-rich VQA?

Xuejing Liu, Wei Tang, Xinzhe Ni, Jinghui Lu, Rui Zhao, Zechao Li, Fei Tan

CoRR, 2023

UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding.

Hao Feng, Zijian Wang, Jingqun Tang, Jinghui Lu, Wengang Zhou, Houqiang Li, Can Huang

CoRR, 2023

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts.

Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li

CoRR, 2023

What Makes Pre-trained Language Models Better Zero-shot Learners?

Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Deeply Coupled Cross-Modal Prompt Learning.

Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets.

Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

What Makes Pre-trained Language Models Better Zero/Few-shot Learners?

Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan

CoRR, 2022

Security Assessment of Android-Based Mobile Terminals.

Zhiyuan Hu, Linghang Shi, Huijun Chen, Chao Li, Jinghui Lu

Proceedings of the 25th International Symposium on Wireless Personal Multimedia Communications, 2022

Android Mobile Terminal Security Assessment Based on Analytical Hierarchy Process (AHP).

Zhiyuan Hu, Linghang Shi, Huijun Chen, Jinghui Lu

Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning.

Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Distribution Contract Analysis on e-Platform by Considering Channel Role and Good Complementarity.

Jie Wei, Jinghui Lu, Weiyu Chen, Zeling Xu

J. Theor. Appl. Electron. Commer. Res., 2021

How to choose online sales formats for competitive e-tailers.

Jie Wei, Jinghui Lu, Yue Wang

Int. Trans. Oper. Res., 2021

A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data.

Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Interactions of competing manufacturers' leader-follower relationship and sales format on online platforms.

Jie Wei, Jinghui Lu, Jing Zhao

Eur. J. Oper. Res., 2020

Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets.

Jinghui Lu, Brian MacNamee

CoRR, 2020

Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks.

Jinghui Lu, Maeve Henchion, Brian Mac Namee

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets.

Jinghui Lu, Maeve Henchion, Brian Mac Namee

CoRR, 2019

A Topic-Based Approach to Multiple Corpus Comparison.

Jinghui Lu, Maeve Henchion, Brian Mac Namee

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2017

Nonfragile robust model predictive control for uncertain constrained time-delayed system with compensations.

Wei Jiang, Hongli Wang, Jinghui Lu, Weiwei Qin, Guangbin Cai

J. Frankl. Inst., 2017

Synchronization for chaotic systems via mixed-objective dynamic output feedback robust model predictive control.

Wei Jiang, Hongli Wang, Jinghui Lu, Guangbin Cai, Weiwei Qin

J. Frankl. Inst., 2017

Extending Jensen Shannon Divergence to Compare Multiple Corpora.

Jinghui Lu, Maeve Henchion, Brian Mac Namee

Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

2011

A Reference Ontology Based Approach for Service Oriented Semantic Interoperability.

Shuying Wang, Kevin P. Brown, Jinghui Lu, Miriam A. M. Capretz

Int. J. Web Portals, 2011

Fading Characteristics in the Railway Terrain Cuttings.

Jinghui Lu, Gang Zhu, Cesar Briso-Rodríguez

Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

2010

A Reference Ontology based Approach for Service Oriented Ontology Management.

Shuying Wang, Jinghui Lu, Miriam A. M. Capretz

Proceedings of the WEBIST 2010, 2010

2001

Discrete z-domain analysis of high order phase locked loops.

Jinghui Lu, Bernard Grung, Stephen Anderson, Shahriar Rokhsaz

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001