Call For Papers

The topics of interest for submission include, but are not limited to:

◕ Computational Basis and Representation Learning 

Multimodal Representation Learning and Alignment

Machine Learning

Deep Learning

Neural Network Architecture

Self-Supervised and Weakly Supervised Learning

Graph Machine Learning

Social Network Analysis

Multimodal Knowledge Graph

Open Data Sets

◕ Model, Algorithm and Generative AI

Big Language Model

Multimodal Cue Learning

Generative Multimodal Model

Visual-Linguistic Basic Model

Audio-Voice Computing and Generation

Temporal and Dynamic Multimodal Modeling

Reinforcement Learning

Decision Intelligence

Applications of Multimodality in Scientific Computing

◕ Multimodal System Architecture and Interaction Technology

Multimodal Dialogue Systems and Engines

Multimodal Content Generation Systems

Multimodal Information Retrieval

Multimodal Recommendation Engines

Multimodal System Integration

Multimodal Middleware

Multimodal Processing Architecture

Intelligent Video Analysis Systems

Real-time Multimodal Fusion

Human-Machine Collaboration Interfaces and Augmented Reality

◕ Credibility, Fairness and Social Computing

Interpretability

Algorithm Transparency

Fairness, Accountability, and Social Impact Assessment

Privacy Protection

Data Security

Adversarial Robustness and Model Safety

Federated Learning

Distributed Computing

Algorithm Auditing, Evaluation, and Benchmarking

Open Source Frameworks and Software Tools