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ORCIDJinghui Lu
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2020 – today
- 2024
[c16]Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, Irene Li:
Evaluating Large Language Models on Wikipedia-Style Survey Generation. ACL (Findings) 2024: 5405-5418- [c15]Dongsheng Zhu, Zhenyu Mao, Jinghui Lu, Rui Zhao, Fei Tan:
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning. LREC/COLING 2024: 14459-14471 - [c14]Dongsheng Zhu, Daniel Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin:
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. NAACL-HLT 2024: 2122-2135 - [i19]Jinghui Lu, Ziwei Yang, Yanjie Wang, Xuejing Liu, Brian Mac Namee, Can Huang:
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition. CoRR abs/2402.04838 (2024) - [i18]Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin:
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. CoRR abs/2402.07398 (2024) - [i17]Rui Yang
, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. CoRR abs/2402.14293 (2024) - [i16]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:
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. CoRR abs/2405.11985 (2024) - [i15]Zhaojun Guo, Jinghui Lu, Xuejing Liu, Rui Zhao, Zhenxing Qian, Fei Tan:
What Makes Good Few-shot Examples for Vision-Language Models? CoRR abs/2405.13532 (2024) - [i14]Jinghui Lu, Haiyang Yu, Yanjie Wang, Yongjie Ye, Jingqun Tang, Ziwei Yang, Binghong Wu, Qi Liu, Hao Feng, Han Wang, Hao Liu, Can Huang:
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding. CoRR abs/2407.01976 (2024) - [i13]Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. CoRR abs/2407.10794 (2024) - [i12]Rui Yang, Boming Yang, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective. CoRR abs/2410.17600 (2024) - 2023
- [c13]Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan:
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. AAAI 2023: 13327-13335 - [c12]Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan:
What Makes Pre-trained Language Models Better Zero-shot Learners? ACL (1) 2023: 2288-2303 - [c11]Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan:
Deeply Coupled Cross-Modal Prompt Learning. ACL (Findings) 2023: 7957-7970 - [i11]Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan:
Deeply Coupled Cross-Modal Prompt Learning. CoRR abs/2305.17903 (2023) - [i10]Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li:
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts. CoRR abs/2308.10410 (2023) - [i9]Hao Feng, Zijian Wang, Jingqun Tang, Jinghui Lu, Wengang Zhou, Houqiang Li, Can Huang:
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding. CoRR abs/2308.11592 (2023) - [i8]Xuejing Liu, Wei Tang, Xinzhe Ni, Jinghui Lu, Rui Zhao, Zechao Li, Fei Tan:
What Large Language Models Bring to Text-rich VQA? CoRR abs/2311.07306 (2023) - 2022
- [c10]Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. ACL (1) 2022: 6986-6996 - [c9]Zhiyuan Hu, Linghang Shi, Huijun Chen, Jinghui Lu:
Android Mobile Terminal Security Assessment Based on Analytical Hierarchy Process (AHP). ICDF2C 2022: 453-471 - [c8]Zhiyuan Hu, Linghang Shi, Huijun Chen, Chao Li, Jinghui Lu:
Security Assessment of Android-Based Mobile Terminals. WPMC 2022: 279-284 - [i7]Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR abs/2203.12918 (2022) - [i6]Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan:
What Makes Pre-trained Language Models Better Zero/Few-shot Learners? CoRR abs/2209.15206 (2022) - [i5]Zhenyu Mao, Dongsheng Zhu, Jinghui Lu, Rui Zhao, Fei Tan:
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning. CoRR abs/2210.03963 (2022) - [i4]Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan:
PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets. CoRR abs/2211.14838 (2022) - 2021
- [j6]Jie Wei, Jinghui Lu, Yue Wang:
How to choose online sales formats for competitive e-tailers. Int. Trans. Oper. Res. 28(4): 2055-2080 (2021) - [j5]Jie Wei, Jinghui Lu, Weiyu Chen, Zeling Xu:
Distribution Contract Analysis on e-Platform by Considering Channel Role and Good Complementarity. J. Theor. Appl. Electron. Commer. Res. 16(3): 445-465 (2021) - [c7]Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee:
A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. DS 2021: 231-241 - [i3]Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee:
A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data. CoRR abs/2106.06738 (2021) - 2020
- [j4]Jie Wei, Jinghui Lu, Jing Zhao:
Interactions of competing manufacturers' leader-follower relationship and sales format on online platforms. Eur. J. Oper. Res. 280(2): 508-522 (2020) - [c6]Jinghui Lu, Maeve Henchion, Brian Mac Namee:
Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks. LREC 2020: 6740-6744 - [i2]Jinghui Lu, Brian MacNamee:
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets. CoRR abs/2004.13138 (2020)
2010 – 2019
- 2019
- [c5]Jinghui Lu, Maeve Henchion, Brian Mac Namee:
A Topic-Based Approach to Multiple Corpus Comparison. AICS 2019: 64-75 - [i1]Jinghui Lu, Maeve Henchion, Brian Mac Namee:
Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets. CoRR abs/1910.03505 (2019) - 2017
- [j3]Wei Jiang, Hongli Wang, Jinghui Lu, Weiwei Qin, Guangbin Cai:
Nonfragile robust model predictive control for uncertain constrained time-delayed system with compensations. J. Frankl. Inst. 354(7): 2832-2855 (2017) - [j2]Wei Jiang, Hongli Wang, Jinghui Lu, Guangbin Cai, Weiwei Qin:
Synchronization for chaotic systems via mixed-objective dynamic output feedback robust model predictive control. J. Frankl. Inst. 354(12): 4838-4860 (2017) - [c4]Jinghui Lu, Maeve Henchion, Brian Mac Namee:
Extending Jensen Shannon Divergence to Compare Multiple Corpora. AICS 2017: 76-88 - 2011
- [j1]Shuying Wang, Kevin P. Brown, Jinghui Lu, Miriam A. M. Capretz:
A Reference Ontology Based Approach for Service Oriented Semantic Interoperability. Int. J. Web Portals 3(1): 1-16 (2011) - [c3]Jinghui Lu, Gang Zhu, Cesar Briso-Rodríguez:
Fading Characteristics in the Railway Terrain Cuttings. VTC Spring 2011: 1-5 - 2010
- [c2]Shuying Wang, Jinghui Lu, Miriam A. M. Capretz:
A Reference Ontology based Approach for Service Oriented Ontology Management. WEBIST (2) 2010: 69-74
2000 – 2009
- 2001
- [c1]Jinghui Lu, Bernard Grung, Stephen Anderson, Shahriar Rokhsaz:
Discrete z-domain analysis of high order phase locked loops. ISCAS (1) 2001: 260-263
Coauthor Index
aka: Brian MacNamee
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