The Impact of Herding Tendency in Modular Networks on the Diffusion of Internet Investment Products. - Xiaokang Cheng; Narisa Zhao; Chenqi Li (Symmetry, 2020)

CypherQA: Question-answering method based on Attribute Knowledge Graph. - Chenqi Li; Xiangqun Lu; Kai Shuang (ICIT, 2021)

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. - Corey Lammie; Jason Kamran Eshraghian; Chenqi Li; Amirali Amirsoleimani; Roman Genov; Wei D. Lu; Mostafa Rahimi Azghadi (ISCAS, 2022)

Nonnegative Tensor Factorization based on Low-Rank Subspace for Facial Expression Recognition. - Xingang Liu; Chenqi Li; Cheng Dai; Jinfeng Lai; Han-Chieh Chao (Mob. Networks Appl., 2022)

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. - Chenqi Li; Corey Lammie; Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (IEEE Trans. Biomed. Circuits Syst., 2022)

PCGen: Point Cloud Generator for LiDAR Simulation. - Chenqi Li; Yuan Ren; Bingbing Liu (ICRA, 2023)

Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks. - Chenqi Li; Corey Lammie; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (Softw. Impacts, 2023)

Resolving Conflicts Among Multiple Classifiers Using Game-Theoretic Soft Sets. - Chenqi Li; Ricardo Holmes; Jingtao Yao 001 (CRC, 2024)

Incorporating Game Theory with Soft Sets. - Chenqi Li; Jingtao Yao 001 (ICNC, 2024)

A Game-Theoretic Framework for Approximation with Soft Sets. - Chenqi Li; JingTao Yao 001 (ICMLA, 2024)

A Survey of Few-Shot Learning for Biomedical Time Series. - Chenqi Li; Timothy Denison; Tingting Zhu (CoRR, 2024)

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion. - Chenqi Li; Boyan Gao; Gabriel Davis Jones; Timothy Denison; Tingting Zhu (CoRR, 2024)

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion. - Chenqi Li; Boyan Gao; Gabriel Davis Jones; Timothy Denison; Tingting Zhu (AAAI, 2025)