5 citations · 14 across the 8 of their papers we have counts for
9 papers
Let Training Guide Selection: Online Synthetic Data Filtering via Real-Anchored Utility
Yanran Wu, Sana Lakdawala, Renzo Tassara Miller +6
Synthetic data can scale training supervision when real-world data are limited, but noise and distribution mismatch can reduce its value. Existing synthetic data selection methods…
GR2 Technical Report
Yufei Li, Zaiwei Zhang, Mingfu Liang +67
Industrial recommendation systems serve billions of users through a multi-stage funnel -- retrieval, early-stage ranking, and re-ranking -- where the final re-ranking step dispropo…
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…
Unimodal Face Classification with Multimodal Training
Wenbin Teng, Chongyang Bai
Face recognition is a crucial task in various multimedia applications such as security check, credential access and motion sensing games. However, the task is challenging when an i…
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…
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…
M2P2: Multimodal Persuasion Prediction using Adaptive Fusion
Chongyang Bai, Haipeng Chen, Srijan Kumar +2
Identifying persuasive speakers in an adversarial environment is a critical task. In a national election, politicians would like to have persuasive speakers campaign on their behal…
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…
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.…