activity
20162019
most citedRecurrent Topic-Transition GAN for Visual Paragraph Generation

77 citations · 128 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2019

Target-Guided Open-Domain Conversation

Jianheng Tang, Tiancheng Zhao, Chenyan Xiong +3

Many real-world open-domain conversation applications have specific goals to achieve during open-ended chats, such as recommendation, psychotherapy, education, etc. We study the pr…

cs.LG2017

Efficient Correlated Topic Modeling with Topic Embedding

Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick +2

Correlated topic modeling has been limited to small model and problem sizes due to their high computational cost and poor scaling. In this paper, we propose a new model which learn…

cs.LG201748 cited

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Hao Zhang, Zeyu Zheng, Shizhen Xu +7

Deep learning models can take weeks to train on a single GPU-equipped machine, necessitating scaling out DL training to a GPU-cluster. However, current distributed DL implementatio…

cs.CV201777 cited

Recurrent Topic-Transition GAN for Visual Paragraph Generation

Xiaodan Liang, Zhiting Hu, Hao Zhang +2

A natural image usually conveys rich semantic content and can be viewed from different angles. Existing image description methods are largely restricted by small sets of biased vis…

cs.CL20163 cited

Learning Concept Taxonomies from Multi-modal Data

Hao Zhang, Zhiting Hu, Yuntian Deng +3

We study the problem of automatically building hypernym taxonomies from textual and visual data. Previous works in taxonomy induction generally ignore the increasingly prominent vi…

cs.CL2016

Joint Embeddings of Hierarchical Categories and Entities

Yuezhang Li, Ronghuo Zheng, Tian Tian +3

Due to the lack of structured knowledge applied in learning distributed representation of categories, existing work cannot incorporate category hierarchies into entity information.…