My Reading List for Papers in AI, NLP, Deep Learning and More.

Last Update: Jan 2021

Affective Computing (AC)

• Basic Theory
• AC with Text
• AC with Image
• AC with Physiological Signals (EEG, EMG and More)
• AC with Multi-modal Data

Natural Language Processing (NLP)

• Language Modelling
• Word, Sentence, Document Embedding
• Machine Reading
• Machine Translation
• Dialogue System (Open-domain, generative)
• Dialogue System (Open-domain, retrieval)
• Dialogue System (Task-oriented)
• Question Answering (new)
• Text Generation
• Text Summarization
• Text Classification
• Sentiment Analysis
• Pretrained LM (new)
• Low-Resource and Multilingual NLP
• Lexicon

Machine Learning (ML)

• Optimization
• Architecture (RNN, CNN and More)
• Transformer (new)
• Transfer Learning
• Reinforcement Learning
• Graph Neural Network (GNN)
• Generative Adversarial Network (GAN)
• Variational Autoencoders (VAE)

Knowledge Representation (KR)

• Knowledge Graph

About Me

I obtained PhD in Conversational AI and NLP from Nanyang Technological University (NTU), Singapore. My research interests include conversational AI, affective computing, knowledge graphs and natural language processing.

Here is my personal site.