activity
20192021
most citedSelf-supervised Learning on Graphs: Deep Insights and New Direction

111 citations · 185 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 2 cited

Personalized Multimodal Feedback Generation in Education

Haochen Liu, Zitao Liu, Zhongqin Wu +1

The automatic evaluation for school assignments is an important application of AI in the education field. In this work, we focus on the task of personalized multimodal feedback gen…

cs.CL2020★ 4 cited

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

Haochen Liu, Wentao Wang, Yiqi Wang +3

Dialogue systems play an increasingly important role in various aspects of our daily life. It is evident from recent research that dialogue systems trained on human conversation da…

cs.LG2020★ 111 cited

Self-supervised Learning on Graphs: Deep Insights and New Direction

Wei Jin, Tyler Derr, Haochen Liu +4

The success of deep learning notoriously requires larger amounts of costly annotated data. This has led to the development of self-supervised learning (SSL) that aims to alleviate…

cs.IR2020★ 18 cited

Memory-efficient Embedding for Recommendations

Xiangyu Zhao, Haochen Liu, Hui Liu +6

Practical large-scale recommender systems usually contain thousands of feature fields from users, items, contextual information, and their interactions. Most of them empirically al…

cs.CL2020★ 13 cited

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models

Haochen Liu, Zhiwei Wang, Tyler Derr +1

Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society. However, due to their inherent opaqueness, some recently raised conc…

cs.CL2020★ 1 cited

Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms

Gale Yan Huang, Jiahao Chen, Haochen Liu +6

Asking questions is one of the most crucial pedagogical techniques used by teachers in class. It not only offers open-ended discussions between teachers and students to exchange id…