activity
20192023
most citedA Generative Car-following Model Conditioned On Driving Styles

70 citations · 90 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 1 cited

Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions

Xinhong Chen, Zongxi Li, Yaowei Wang +3

The study of causal relationships between emotions and causes in texts has recently received much attention. Most works focus on extracting causally related clauses from documents.…

cs.AI2021★ 70 cited

A Generative Car-following Model Conditioned On Driving Styles

Yifan Zhang, Xinhong Chen, Jianping Wang +2

Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades. This paper pushes the state of…

cs.LG2021★ 6 cited

Jointly Attacking Graph Neural Network and its Explanations

Wenqi Fan, Wei Jin, Xiaorui Liu +7

Graph Neural Networks (GNNs) have boosted the performance for many graph-related tasks. Despite the great success, recent studies have shown that GNNs are highly vulnerable to adve…

cs.CV2020

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization

Yangbin Chen, Yun Ma, Tom Ko +2

Model-Agnostic Meta-Learning (MAML) and its variants are popular few-shot classification methods. They train an initializer across a variety of sampled learning tasks (also known a…

cs.IR2020★ 6 cited

Attacking Black-box Recommendations via Copying Cross-domain User Profiles

Wenqi Fan, Tyler Derr, Xiangyu Zhao +5

Recently, recommender systems that aim to suggest personalized lists of items for users to interact with online have drawn a lot of attention. In fact, many of these state-of-the-a…

cs.IR2019★ 1 cited

Deep Social Collaborative Filtering

Wenqi Fan, Yao Ma, Dawei Yin +3

Recommender systems are crucial to alleviate the information overload problem in online worlds. Most of the modern recommender systems capture users' preference towards items via t…