ART-Artificial Immune Network and Application in Fault Diagnosis of the Reciprocating Compressor. - Maolin Li; Na Wang; Haifeng Du; Jian Zhuang; Sunan Wang (ICNC (2), 2006)

Feature generation in fault diagnosis based on immune programming. - Maolin Li; Lin Liang; Sunan Wang; Xiaohu Li (CIRA, 2009)

A small world algorithm for high-dimensional function optimization. - Xiaohu Li; Jinhua Zhang; Sunan Wang; Maolin Li; Kunpeng Li (CIRA, 2009)

BUPTTeam Participation at TAC 2013 Entity Linking. - Xue Yang; Rui Wang 012; Maolin Li; Yongmei Tan (TAC, 2013)

BUPTTeam Participation at TAC 2015 Knowledge Base Population. - Yongmei Tan; Di Zheng; Maolin Li; Xiaojie Wang (TAC, 2015)

Feature extraction for fault diagnosis utilizing supervised nonnegative matrix factorization combined statistical model. - Yuanming Chen; Maolin Li; Lin Liang; Guanghua Xu; Huizhong Gao (CISP-BMEI, 2016)

Proactive Learning for Named Entity Recognition. - Maolin Li; Nhung T. H. Nguyen 001; Sophia Ananiadou (BioNLP, 2017)

Fault diagnosis of mechanical equipment based on data visualization. - Guang Li; Maolin Li; Dan Liu 006; Guanghua Xu; Shiming Zhou (CISP-BMEI, 2017)

Distinguishing Property for Full Round KECCAK-f Permutation. - Maolin Li; Lu Cheng (CISIS, 2017)

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. - Maolin Li; Arvid Fahlström Myrman; Tingting Mu; Sophia Ananiadou (NAACL-HLT (1), 2019)

A novel boot strapping algorithm for text extraction in a self-organising neural network model. - Xiaohong Li 014; Maolin Li (Int. J. Netw. Virtual Organisations, 2019)

The application of the matrix decomposition recommendation algorithm based on attribute coupling is studied in the internet of things. - Xiaohong Li 014; Maolin Li (J. Intell. Fuzzy Syst., 2019)

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. - Matthew Shardlow; Meizhi Ju; Maolin Li; Christian O'Reilly; Elisabetta Iavarone; John McNaught; Sophia Ananiadou (Neuroinformatics, 2019)

A Neural Model for Aggregating Coreference Annotation in Crowdsourcing. - Maolin Li; Hiroya Takamura; Sophia Ananiadou (COLING, 2020)

Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization. - Lin Liang; Lei Shan; Fei Liu; Maolin Li; Ben Niu; Guanghua Xu (IEEE Access, 2020)

The Direction Analysis on Trajectory of Fast Neural Network Learning Robot. - Xiaohong Li; Maolin Li (IEEE Access, 2021)

Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging. - Philipp Ennen; Yen-Ting Lin; Ali Girayhan Özbay; Ferdinando Insalata; Maolin Li; Ye Tian; Sepehr Jalali; Da-Shan Shiu (CoRR, 2021)

Graphical and deep learning models for natural language labelling tasks with multiple annotators - Maolin Li (2021)

SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues. - Ssu Chiu; Maolin Li; Yen-Ting Lin; Yun-Nung Chen (ACL (1), 2022)

Neural architectures for aggregating sequence labels from multiple annotators. - Maolin Li; Sophia Ananiadou (Neurocomputing, 2022)

Spatio-Temporal Changes of Vegetation Cover and Its Influencing Factors in Northeast China from 2000 to 2021. - Maolin Li; Qingwu Yan; Guie Li; Minghao Yi; Jie Li (Remote. Sens., 2022)

Fisher-Legendre (FishLeg) optimization of deep neural networks. - Jezabel R. Garcia; Federica Freddi; Stathi Fotiadis; Maolin Li; Sattar Vakili; Alberto Bernacchia; Guillaume Hennequin (ICLR, 2023)

Sample selection with noise rate estimation in noise learning of medical image analysis. - Maolin Li; Giacomo Tarroni; Vasilis Siomos (CoRR, 2023)

Multi-carrier based positional modulation design with discrete phase values for metasurface elements. - Maolin Li; Bo Zhang 033; Baoju Zhang; Wei Liu 001; Taekon Kim; Wei Wang; Xiaonan Zhao; Cheng Wang 018 (Digit. Signal Process., 2023)

Spot Detection for Laser Sensors Based on Annular Convolution Filtering. - Lingjiang Li; Maolin Li; Weijun Sun; Zhenni Li; Zuyuan Yang (Sensors, 2023)

Multi-granularity Hierarchical Feature Extraction for Question-Answering Understanding. - Xingguo Qin; Ya Zhou; Guimin Huang; Maolin Li; Jun Li 063 (Cogn. Comput., 2023)

Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis. - Yabing Wang; Guimin Huang; Maolin Li; Yiqun Li; Xiaowei Zhang; Hui Li (Cogn. Comput., 2023)

Knee-driven many-objective sine-cosine algorithm. - Hongxia Zhao; Yongjie Wang; Maolin Li (KSII Trans. Internet Inf. Syst., 2023)

Directional modulation design for multi-beam multiplexing based on hybrid antenna array structures. - Maolin Li; Bo Zhang 033; Baoju Zhang; Wei Liu 001; Taekon Kim; Cheng Wang 018 (EURASIP J. Adv. Signal Process., 2023)

A Study of Factors Influencing Customers' Online Knowledge Purchase Intention in the Context of Live-Streaming. - Maolin Li (IMMS, 2024)

Tracking interval control for urban rail trains based on safe reinforcement learning. - Junting Lin; Xiaohui Qiu; Maolin Li (Eng. Appl. Artif. Intell., 2024)

A Deep Learning-Based Sentiment Analysis Approach for Online Product Ranking With Probabilistic Linguistic Term Sets. - Zixu Liu; Huchang Liao; Maolin Li; Qian Yang; Fanlin Meng (IEEE Trans. Engineering Management, 2024)

Symbol-Level Design for Joint Radar Communication Based on Directional Modulation. - Maolin Li; Bo Zhang 033; Baoju Zhang; Yuan Ding 001; Taekon Kim; Xiaonan Zhao (IEEE Wirel. Commun. Lett., 2024)

Research on the Carbon Sequestration Capacity of Forest Ecological Network Topological Features and Network Optimization Based on Modification Recognition in the Yellow River Basin Mining Area: A Case Study of Jincheng City. - Maolin Li; Qiang Yu; Chenglong Xu; Jikai Zhao; Yufan Zeng; Yu Wang; Yilin Liu (Remote. Sens., 2024)

What is the impact of discrete memristor on the performance of neural network: A research on discrete memristor-based BP neural network. - Yuexi Peng; Maolin Li; Zhijun Li 005; Minglin Ma; Mengjiao Wang 003; Shaobo He (Neural Networks, 2025)

MAGI-1: Autoregressive Video Generation at Scale. - Hansi Teng; Hongyu Jia; Lei Sun; Lingzhi Li 017; Maolin Li; Mingqiu Tang; Shuai Han; Tianning Zhang; W. Q. Zhang; Weifeng Luo; Xiaoyang Kang 004; Yuchen Sun; et al. (CoRR, 2025)

DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver. - Bin Deng; Jiatong Bai; Feilong Zhao; Zuming Xie; Maolin Li; Yan Wang 027; Feng Shu 002 (CoRR, 2025)