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

111 citations · 149 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL20202 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.CL20204 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.LG2020111 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

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.CL202013 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.CL20201 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…