Area of research
Atomic and Molecular Physics, and Optics · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Reinforcement learning, Computer vision, Photovoltaic system, and Maximum power point tracking.
Long-term organic-inorganic fertilization promoted the microbial necromass carbon accumulation in particulate and mineral-associated organic matter fractions in paddy soil
Flexible power point tracking for photovoltaic systems based on the linear jump method
TVTracker: Target-Adaptive Text-Guided Visual Fusion for Multimodal RGB-T Tracking
Visual and Textual Commonsense-Enhanced Layout Learning for Vision-and-Language Navigation
Fine-grained hierarchical dynamics for image harmonization
Deep convolutional generative adversarial network accelerated optimization algorithm for parameter optimization of permanent magnet synchronous generator controllers
Quantum Grover Search-Inspired Global Maximum Power Point Tracking for Photovoltaic Systems Under Partial Shading Conditions
Long-term fertilization reshaped the accumulation of plant- and microbially-derived carbon by regulating biotic and abiotic factors in acidic paddy soil
SC-AIRL: Share-Critic in Adversarial Inverse Reinforcement Learning for Long-Horizon Task
Multi-Teachers Distillation Strategy for Target-Oriented Collision-Free Grasping in Clutter
Enhancing Scene Understanding for Vision-and-Language Navigation by Knowledge Awareness
Building Robust Video-Level Deepfake Detection via Audio-Visual Local-Global Interactions
A Scalable Fully Distributed Quantum Alternating Direction Method of Multipliers for Unit Commitment Problems
Deep predictive data representation model control for photovoltaic maximum power point tracking under partial shading conditions
A Lightweight Method Integrating Keypoint Detection and Perspective Geometry for Substation Safety Distance Monitoring
Language-Guided Dual-Modal Local Correspondence for Single Object Tracking
Multi-Object Tracking: Decoupling Features to Solve the Contradictory Dilemma of Feature Requirements
Bayesian deep neural networks for spatio-temporal probabilistic optimal power flow with multi-source renewable energy
Solving DC power flow problems using quantum and hybrid algorithms
Pin-CasNet: Detecting pin status in transmission lines based on cascade network
Efficient Micro-Expression Spotting Based on Main Directional Mean Optical Flow Feature
A Quantum-aided Algorithm for Unit Commitment Problems
Prototypical Contrastive Learning for Domain Adaptive Semantic Segmentation
Role of circulating CD14++CD16+ monocytes and VEGF-B186 in formation of collateral circulation in patients with hyperacute AMI
Variable boundary reinforcement learning for maximum power point tracking of photovoltaic grid-connected systems
Efficient 6D object pose estimation based on attentive multi‐scale contextual information
Anonymous communication protocol over quantum networks
A hybrid algorithm to solve linear systems of equations with limited qubit resources
Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines