No. 24 South Section1, Yihuan Road,
Chengdu, 610064
China
Sichuan University
Object Detection, Model Compression, Mixed-Precision Quantization, Binary Neural Network, Quantization Aware Training
Deep Reinforcement Learning, Spiking Neural Networks, Continuous control tasks
Generalized zero-shot learning, Domain shift, Semantic gap, Cluster
Biomedical event, Neural Networks, Trigger detection, Large Language Models, Deep learning
Biomedical event, Neural Networks, Trigger detection, Large Language Models, Deep Learning
Diffusion Transformers, Post-Training Quantization, Non-uniform Quantization, Activation Outliers
Test-trace-isolate, Multi-layer temporal network, Epidemic modeling, Non-pharmaceutical interventions
Surveillance Strategies, Epidemic Modeling, Time-varying Networks, Multiplex Networks
Model compression, Quantization aware training, Image classification
fluid catalytic cracking unit, Attention mechanism, early warning of abnormal conditions, Noise reduction, temporal variation features
Serial interval, Epidemic modeling, Serial interval estimating methods
Reinforcement Learning, Test time adaption, pseudo label, calibration, Unsupervised Learning
Transformer, Classification, Boundary representation
Information FusionMultimodal Large Language ModelChart UnderstandingData VisualizationComputer Vision
Feature Selection, uncertainty measure, fuzzy rough set, bounded approximate entropy, granular computing
