Research

December 11, 2023

AMP: Automatically Finding Model ParallelStrategies with Heterogeneity Awareness

NeurIPS 2022

A Constituent-Centric Neural Architecture for Reading Comprehension.

Efficient Correlated Topic Modeling with Topic Embedding

System and Algorithm Co-Design, Theory and Practice, for Distributed Machine Learning

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning

Recurrent Topic-Transition GAN for Visual Paragraph Generation

ZM-Net: Real-time Zero-shot Image Manipulation Network

Toward Controlled Generation of Text

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

February 27, 2017

High Efficiency Systems for Distributed AI and ML at Scale

December 8, 2016

Grounding Topic Models with Knowledge Bases

Strategies and Principles of Distributed Machine Learning on Big Data

Learning Concept Taxonomies from Multi-modal Data

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System

STRADS: A Distributed Framework for Scheduled Model Parallel Machine Learning

Harnessing Deep Neural Networks with Logic Rules