Area of research
Computer Vision and Pattern Recognition · Molecular Biology
Research interest
Research interests include Gene expression and cancer classification, Image Retrieval and Classification Techniques, Medical Image Segmentation Techniques, and Bioinformatics and Genomic Networks.
The CUR Decomposition of Self-Attention Matrices in Vision Transformers
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification
CiUAV: Scalable Device-Free Indoor UAV Localization via Multiobjective Optimized Network Using Channel State Information
Coordinated Downlink Beamforming in Multi-Cell MIMO Networks: A Diffusion Model-Enhanced Multi-Agent Reinforcement Learning Perspective
Learning Dynamic Graph Embeddings With Neural Controlled Differential Equations.
CTransformer: Deep-transformer-based 3D cell membrane tracking with subcellular-resolved molecular quantification
Federated User Self-Decision Mechanism for Coupled Electricity and Carbon Market Considering Differentiated Objectives of Heterogeneous DERs
A Spatio-Temporal Feature Distribution Network for Device-Free Power Inspection Activity Using WiFi CSI
Bi-level unbalanced optimal transport for partial domain adaptation
Memory-efficient neural network training via gradient compression through continuous basis tracking
A CUR Decomposition-Based Mix-Order Framework for Large-Scale Hypergraph Matching
Evolving Collaborative Differential Evolution for Dynamic Multi-Objective UAV Path Planning
SR-TCUR: Scalable and robust tubal CUR decomposition for large-scale multidimensional tensors
Open-Set Domain Adaptation via Target-Relaxed Optimal Transport
RO-SVD+: A Hardware-Based Framework Against AI Attacks for Cost-Effective GenAI Copyright Protection in Consumer Electronics
Dance Motion-Guided Music Generation via Residual Vector Quantization
YOLO-TS: Real-Time Traffic Sign Detection With Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion
Cell lineage-resolved embryonic morphological map reveals signaling associated with cell fate and size asymmetry.
ELFATT: Efficient Linear Fast Attention for Vision Transformers
Unsupervised domain adaptation via optimal prototypes transport
High-Radix/Mixed-Radix NTT Multiplication Algorithm/Architecture Co-Design Over Fermat Modulus
Efficient CUR decomposition for interpretable low-rank approximations and imaging applications
Semi-Supervised Knee Cartilage Segmentation With Successive Eigen Noise-Assisted Mean Teacher Knowledge Distillation.
A Speculative Loop Pipeline Framework with Accurate Path Modeling for High-Level Synthesis
Fast Weighted Transforms for Linear Convolution
DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery
Ellipse Detection via Global Arc Compatibilities and Adaptive Co-Clustering for Real-World Measurement Systems
IncTSVD: Incremental Tensor Singular Value Decomposition of Multidimensional Streaming Data.
Generalizing to New Dynamical Systems via Frequency Domain Adaptation.
A Fusion Model With Effective Multi-Scale Parallel Transformer for Cellular Segmentation.