Discrete z-domain analysis of high order phase locked loops. - Jinghui Lu; Bernard Grung; Stephen Anderson; Shahriar Rokhsaz (ISCAS (1), 2001)

A Reference Ontology based Approach for Service Oriented Ontology Management. - Shuying Wang; Jinghui Lu; Miriam A. M. Capretz (WEBIST (2), 2010)

Fading Characteristics in the Railway Terrain Cuttings. - Jinghui Lu; Gang Zhu; Cesar Briso-Rodríguez (VTC Spring, 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)

Extending Jensen Shannon Divergence to Compare Multiple Corpora. - Jinghui Lu; Maeve Henchion; Brian Mac Namee (AICS, 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)

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)

A Topic-Based Approach to Multiple Corpus Comparison. - Jinghui Lu; Maeve Henchion; Brian Mac Namee (AICS, 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)

Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks. - Jinghui Lu; Maeve Henchion; Brian Mac Namee (LREC, 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)

Interactions of competing manufacturers' leader-follower relationship and sales format on online platforms. - Jie Wei; Jinghui Lu; Jing Zhao (Eur. J. Oper. Res., 2020)

A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. - Jinghui Lu; Maeve Henchion; Ivan Bacher; Brian Mac Namee (DS, 2021)

How to choose online sales formats for competitive e-tailers. - Jie Wei; Jinghui Lu; Yue Wang (Int. Trans. Oper. Res., 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)

A Rationale-Centric Framework for Human-in-the-loop Machine Learning. - Jinghui Lu; Linyi Yang; Brian MacNamee; Yue Zhang 004 (ACL (1), 2022)

Android Mobile Terminal Security Assessment Based on Analytical Hierarchy Process (AHP). - Zhiyuan Hu; Linghang Shi; Huijun Chen; Jinghui Lu (ICDF2C, 2022)

Security Assessment of Android-Based Mobile Terminals. - Zhiyuan Hu; Linghang Shi; Huijun Chen; Chao Li; Jinghui Lu (WPMC, 2022)

What Makes Pre-trained Language Models Better Zero/Few-shot Learners? - Jinghui Lu; Rui Zhao; Brian Mac Namee; Dongsheng Zhu; Weidong Han 002; Fei Tan 002 (CoRR, 2022)

PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. - Jinghui Lu; Rui Zhao; Brian Mac Namee; Fei Tan 002 (AAAI, 2023)

Deeply Coupled Cross-Modal Prompt Learning. - Xuejing Liu; Wei Tang 011; Jinghui Lu; Rui Zhao; Zhaojun Guo; Fei Tan 002 (ACL (Findings), 2023)

What Makes Pre-trained Language Models Better Zero-shot Learners? - Jinghui Lu; Dongsheng Zhu; Weidong Han 002; Rui Zhao; Brian Mac Namee; Fei Tan 002 (ACL (1), 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)

UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding. - Hao Feng 009; Zijian Wang; Jingqun Tang; Jinghui Lu; Wengang Zhou 001; Houqiang Li; Can Huang (CoRR, 2023)

What Large Language Models Bring to Text-rich VQA? - Xuejing Liu; Wei Tang 011; Xinzhe Ni; Jinghui Lu; Rui Zhao; Zechao Li; Fei Tan 002 (CoRR, 2023)

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 (ACL (Findings), 2024)

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning. - Dongsheng Zhu; Zhenyu Mao; Jinghui Lu; Rui Zhao; Fei Tan 002 (LREC/COLING, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. - Dongsheng Zhu; Daniel Tang; Weidong Han 002; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang; Dawei Yin (NAACL-HLT, 2024)

PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition. - Jinghui Lu; Yanjie Wang; Ziwei Yang; Xuejing Liu; Brian Mac Namee; Can Huang (NeurIPS, 2024)

From Liberty to 1984: A Methodology for Systematically Deteriorating LLM Outputs through Habituation Tendencies. - Dong Zhang; Zhiyuan Hu; Huijun Chen; Guangming Liu; YinFeng Zheng; Jinghui Lu (TrustCom, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. - Dongsheng Zhu; Xunzhu Tang; Weidong Han 002; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang; Dawei Yin (CoRR, 2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. - Rui Yang 016; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. - Jingqun Tang; Qi Liu; Yongjie Ye; Jinghui Lu; Shu Wei; Chunhui Lin; Wanqing Li 007; Mohamad Fitri Faiz Bin Mahmood; Hao Feng 009; Zhen Zhao; Yanjie Wang; Yuliang Liu; et al. (CoRR, 2024)

What Makes Good Few-shot Examples for Vision-Language Models? - Zhaojun Guo; Jinghui Lu; Xuejing Liu; Rui Zhao; Zhenxing Qian; Fei Tan 002 (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 009; Han Wang; Hao Liu 003; Can Huang (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)

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)

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)

A flexible algorithm design of spatial scalability for real-time surveillance applications. - Zhe Zheng; Jinghua Liu; Darui Sun; Jinghui Lu; Song Qiu; Yanwei Xiong; Rui Liu; Wenpeng Cui (Int. Arab J. Inf. Technol., 2024)

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting. - Hao Feng 009; Shu Wei; Xiang Fei; Wei Shi; Yingdong Han; Lei Liao; Jinghui Lu; Binghong Wu; Qi Liu; Chunhui Lin; Jingqun Tang; Hao Liu 003; et al. (ACL (Findings), 2025)

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 (ACL (Findings), 2025)

MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. - Jingqun Tang; Qi Liu; Yongjie Ye; Jinghui Lu; Shu Wei; An-Lan Wang; Chunhui Lin; Hao Feng 009; Zhen Zhao; Yanjie Wang; Yuliang Liu; Hao Liu 003; et al. (ACL (Findings), 2025)

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective. - Rui Yang 016; Boming Yang; Xinjie Zhao 004; Fan Gao; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (WWW (Companion Volume), 2025)

EVE: Towards End-to-End Video Subtitle Extraction with Vision-Language Models. - Haiyang Yu; Jinghui Lu; Yanjie Wang; Yang Li; Han Wang; Can Huang; Bin Li (CoRR, 2025)

Vision as LoRA. - Han Wang; Yongjie Ye; Bingru Li; Yuxiang Nie; Jinghui Lu; Jingqun Tang; Yanjie Wang; Can Huang (CoRR, 2025)

HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models. - Fan Gao; Xinjie Zhao; Ding Xia; Zhongyi Zhou; Rui Yang; Jinghui Lu; Hang Jiang; Chanjun Park; Irene Li (CoRR, 2025)

WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? - An-Lan Wang; Jingqun Tang; Liao Lei; Hao Feng 009; Qi Liu; Xiang Fei; Jinghui Lu; Han Wang; Weiwei Liu; Hao Liu 003; Yuliang Liu; Xiang Bai; et al. (CoRR, 2025)

Advancing Sequential Numerical Prediction in Autoregressive Models. - Xiang Fei; Jinghui Lu; Qi Sun; Hao Feng 009; Yanjie Wang; Wei Shi; An-Lan Wang; Jingqun Tang; Can Huang (CoRR, 2025)

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning. - Jinghui Lu; Haiyang Yu; Siliang Xu; Shiwei Ran; Guozhi Tang; Siqi Wang; Bin Shan; Teng Fu; Hao Feng; Jingqun Tang; Han Wang; Can Huang (CoRR, 2025)

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement. - Weitao Jia; Jinghui Lu; Haiyang Yu; Siqi Wang; Guozhi Tang; An-Lan Wang; Weijie Yin; Dingkang Yang; Yuxiang Nie; Bin Shan; Hao Feng 009; Irene Li; et al. (CoRR, 2025)