Online Room H | Evening July 26 19:00-23:00
Session 1
Chair: Aijing Feng
Online Room H
Paper 4683
19:00-19:15
Biomolecular Language Models: Foundation Model, Representation, and Applications
Spatial-Temporal Uncertainty-Aware Embedding Based on Multiscale Attention Transformer for Traffic Forecasting
Paper 4687
19:15-19:30
Biomolecular Language Models: Foundation Model, Representation, and Applications
UACCL: Uncertainty-Aware Cross-modal Contrastive Learning for Multimodal Fake News Detection
Paper 5162
19:30-19:45
Machine Learning
Intermodal Guidance Learning: A Multimodal Self-Distillation Network for Prostate Cancer Staging Prediction
Paper 5180
19:45-20:00
Machine Learning
TGC: A Hybrid Transformer-Gated Convolutional Network with Multi-Dimensional Feature Calibration for Pulmonary Disease Classification in Chest X-ray Images
Paper 5230
20:00-20:15
Machine Learning
DRIFT: Distribution-Routing with Injected Semantic Priors and Fused Temporal Encoding for Popularity Prediction
Paper 5281
20:15-20:30
Machine Learning
A Scalable DNS Tunneling Detection Method
Based on Ensemble Learning for Programmable
Switches
Paper 5309
20:30-20:45
Machine Learning
MF₁-MF₂-ECEnet: Multi-Function Matrix Factorization Elite Co-evolution Network for Non-Hemolytic Anticancer Peptide Prediction
Paper 5311
20:45-21:00
Machine Learning
Progressive Part-Token Expansion and Slot-Wise Momentum Contrast for Generalized Zero-Shot Learning
Paper 5306
21:00-21:15
Image Processing
Curriculum-Guided Representation Adaptation and Ensemble for Fine-Grained Facial Expression Recognition
Paper 5325
21:15-21:30
Image Processing
GraphSP: Graph-Based Learning for Ultrasound Sequential Image Classification of Single-Patient with Limited Samples and Sparse Annotations