Zhong Peixiang
AI Agents, NLP and Recommendation Systems.
This profile was put together from Zhong's public GitHub portfolio, and they haven't joined Vibetown yet, so reach them through their portfolio. Is this you? Contact us to update or remove it.
About
Zhong Peixiang works in ML & data science and AI engineering, based in Singapore. AI Agents, NLP and Recommendation Systems. Public projects on GitHub include RGNN (The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"), AI-NLP-Paper-Readings (This is my reading list for my PhD in AI, NLP, Deep Learning and more) and KET (The PyTorch code for paper "Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations"), mostly written in Python, JavaScript and SCSS.
Projects 6
RGNN
The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
github.comAI-NLP-Paper-Readings
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
github.comKET
The PyTorch code for paper "Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations"
github.comAffect Rich Conversational Model
The PyTorch code for paper: An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
github.comCKC
This repo contains the code for our work in AAAI 2021: Keyword-Guided Neural Conversational Model
github.comSeq2Seq Pytorch
This is the PyTorch implementation of Seq2Seq model for neural dialog generation
github.com