activity
20192022
most citedC2P2: A Collective Cryptocurrency Up/Down Price Prediction Engine

4 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20222 cited

MDMLP: Image Classification from Scratch on Small Datasets with MLP

Tian Lv, Chongyang Bai, Chaojie Wang

The attention mechanism has become a go-to technique for natural language processing and computer vision tasks. Recently, the MLP-Mixer and other MLP-based architectures, based sim…

cs.CV20212 cited

UIBert: Learning Generic Multimodal Representations for UI Understanding

Chongyang Bai, Xiaoxue Zang, Ying Xu +4

To improve the accessibility of smart devices and to simplify their usage, building models which understand user interfaces (UIs) and assist users to complete their tasks is critic…

cs.SI2021

Deception Detection in Group Video Conversations using Dynamic Interaction Networks

Srijan Kumar, Chongyang Bai, V. S. Subrahmanian +1

Detecting groups of people who are jointly deceptive in video conversations is crucial in settings such as meetings, sales pitches, and negotiations. Past work on deception in vide…

cs.CV20191 cited

Automatic Long-Term Deception Detection in Group Interaction Videos

Chongyang Bai, Maksim Bolonkin, Judee Burgoon +5

Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one o…

cs.LG20194 cited

C2P2: A Collective Cryptocurrency Up/Down Price Prediction Engine

Chongyang Bai, Tommy White, Linda Xiao +2

We study the problem of predicting whether the price of the 21 most popular cryptocurrencies (according to coinmarketcap.com) will go up or down on day d, using data up to day d-1.…