-Machine Learning.- Difference-Enhanced Learning of the Deep Semantic Segmentation Networks for First Break Picking.- A Framework of Reinforcement Learning for Truncated L´evy Flight Exploratory.- Detection of depression in EEG Signals Based on Convolutional transformer and adaptive transfer learning.- Twin Bounded Least Squares Support Vector Regression.-MLEE: Event Extraction as Multi-Label Classification Task at Token Level.- Research on Improvement of Sweeping Learning Chain Algorithm Based on Factor Space Theory.- End-to-End Control of a Quadrotor Using Gaussian Ensemble Model-Based Reinforcement Learning.

- Causal Reasoning.- Research on the Causal Forest Algorithm based on Factor Space Theory.- Superpositioner - A Non-logical Computation Model.- Research on Factor Support Vector Multi-classification Algorithm based on Factor Space Theory.- Large Language Model.-Improve LLM Inference Performance with Matrix Decomposition Strategies.- Intelligent Robot.- Trajectory Prediction of Unmanned Surface Vehicle Based on Improved Transformer.

- Deep Neural Network Based Relocalization of Mobile Robot in Visual SLAM.- A Vision-Based Method for UAV Autonomous Landing Area Detection.- Perceptual Intelligence.- Research on Object Detection for Intelligent Sensing of Navigation Mark in Yangtze River.- Cascaded Sliding-Window-based Relativistic GAN Fusion for Perceptual and Consistent Video Super-Resolution.- Integration of Raman Spectroscopy, On-line Microscopic Imaging and Deep learning-based Image Analysis for Real-time Monitoring of Cell Culture Process.- DRL-SLAM: Enhanced Object Detection Fusion with Improved YOLOv8.- Driver Fatigue Recognition Based on EEG Signal and Semi-Supervised Learning.

- SC-EcapaTdnn : ECAPA-TDNN with Separable Convolutional for Speaker Recognition.- AI for Science.- Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies.-DSFM Method: A New Approach to Enhancing Discrimination Ability on AI-Generated Datasets.- Medical Artificial Intelligence.- Enhancing Weakly Supervised Medical Segmentation via Heterogeneous Co-training with Box-wise Augmentation and Pseudo-label Filtering.- FCGA-Former: A Hybrid Factor Space Classification Model for Predicting the Tumor Mutation Burden of Lung Adenocarcinoma.