activity
20182022
most citedTowards Training Reproducible Deep Learning Models

47 citations · 166 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2022★ 36 cited

Force-Aware Interface via Electromyography for Natural VR/AR Interaction

Yunxiang Zhang, Benjamin Liang, Boyuan Chen +4

While tremendous advances in visual and auditory realism have been made for virtual and augmented reality (VR/AR), introducing a plausible sense of physicality into the virtual wor…

cs.SE2022★ 12 cited

Towards Build Verifiability for Java-based Systems

Jiawen Xiong, Yong Shi, Boyuan Chen +3

Build verifiability refers to the property that the build of a software system can be verified by independent third parties and it is crucial for the trustworthiness of a software…

cs.LG2022★ 47 cited

Towards Training Reproducible Deep Learning Models

Boyuan Chen, Mingzhi Wen, Yong Shi +4

Reproducibility is an increasing concern in Artificial Intelligence (AI), particularly in the area of Deep Learning (DL). Being able to reproduce DL models is crucial for AI-based…

cs.LG2022★ 29 cited

Towards a consistent interpretation of AIOps models

Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin +3

Artificial Intelligence for IT Operations (AIOps) has been adopted in organizations in various tasks, including interpreting models to identify indicators of service failures. To a…

math.DS2021★ 6 cited

Discovering State Variables Hidden in Experimental Data

Boyuan Chen, Kuang Huang, Sunand Raghupathi +3

All physical laws are described as relationships between state variables that give a complete and non-redundant description of the relevant system dynamics. However, despite the pr…

cs.RO2021★ 2 cited

Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models

Boyuan Chen, Yuhang Hu, Lianfeng Li +2

Ability to generate intelligent and generalizable facial expressions is essential for building human-like social robots. At present, progress in this field is hindered by the fact…

cs.RO2021

Visual Perspective Taking for Opponent Behavior Modeling

Boyuan Chen, Yuhang Hu, Robert Kwiatkowski +2

In order to engage in complex social interaction, humans learn at a young age to infer what others see and cannot see from a different point-of-view, and learn to predict others' p…

cs.LG2021

Beyond Categorical Label Representations for Image Classification

Boyuan Chen, Yu Li, Sunand Raghupathi +1

We find that the way we choose to represent data labels can have a profound effect on the quality of trained models. For example, training an image classifier to regress audio labe…

cs.CV2020★ 4 cited

SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation

Yiqing Liang, Boyuan Chen, Shuran Song

This paper focuses on visual semantic navigation, the task of producing actions for an active agent to navigate to a specified target object category in an unknown environment. To…

cs.LG2018★ 30 cited

Autostacker: A Compositional Evolutionary Learning System

Boyuan Chen, Harvey Wu, Warren Mo +2

We introduce an automatic machine learning (AutoML) modeling architecture called Autostacker, which combines an innovative hierarchical stacking architecture and an Evolutionary Al…