(Including but not limited to the following topics)
Track 1: Computational Linguistics
Computer Science and Technology Artificial Intelligence
Natural Language Processing (NLP)
Linguistics
Programming Language Basics (such as Python)
Data Structures
Algorithm Design and Analysis
Introduction to Linguistics
Cross-language Natural Language Processing
Dialogue Systems and Chatbots
Semantic Understanding and Knowledge Graphs
Speech Recognition and Speech Synthesis
Interpretability of Natural Language Processing
Social Media and Network Text Analysis
Applications of Natural Language Processing in Specific Fields
Track 2: Intelligent Interaction
Cloud Computing Technology
Interface of Emotion and Aesthetics
Machine Interaction Learning
Soft Computing for Machine Interfaces
Cognitive Interface Design
Interactive Machine Learning
Sequential Data Processing
Multimodal Interfaces (voice, vision, gaze, facial, physiological information, etc.)
Virtual Worlds
Tactile Rendering, Tactile Input, Tactile Perception
Brain-Computer, Brain-Computer Interfaces
Track 3: Machine Learning
Deep and Reinforcement Learning
Pattern Recognition and Classification of Networks
Machine Learning for Network Slicing Optimization
Machine Learning for 5G Systems
Machine Learning for User Behavior Prediction
New Innovative Machine Learning Methods
Optimizing Machine Learning Methods
Performance Analysis of Machine Learning Algorithms
Experimental Evaluation of Machine Learning
Data Mining in Heterogeneous Networks
Machine Learning for Multimedia
Internet of Things Machine Learning
Machine Learning Security and Protection
Distributed and Decentralized Machine Learning Algorithms, etc.