27 citations · 42 across the 10 of their papers we have counts for
10 papers
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices
Yuzhan Wang, Sicong Liu, Bin Guo +6
Deep learning is reshaping mobile applications, with a growing trend of deploying deep neural networks (DNNs) directly to mobile and embedded devices to address real-time performan…
UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices
Haoyu Bian, Bin Guo, Sicong Liu +3
Ubiquitous on-device heart rate sensing is vital for high-stress individuals and chronic patients. Non-contact sensing, compared to contact-based tools, allows for natural user mon…
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu, Bin Guo, Nuo Li +3
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. Although advanc…
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices
Zheng Lin, Bin Guo, Sicong Liu +4
Deep neural network (DNN) has driven extensive applications in mobile technology. However, for long-running mobile apps like voice assistants or video applications on smartphones,…
The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trends
Mengqi Chen, Bin Guo, Hao Wang +6
Persuasion, as one of the crucial abilities in human communication, has garnered extensive attention from researchers within the field of intelligent dialogue systems. We humans te…
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Hao Wang, Bin Guo, Yating Zeng +5
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in…
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection
Yasan Ding, Bin Guo, Yan Liu +3
The blooming of fake news on social networks has devastating impacts on society, economy, and public security. Although numerous studies are conducted for the automatic detection o…
The Future of Misinformation Detection: New Perspectives and Trends
Bin Guo, Yasan Ding, Lina Yao +2
The massive spread of misinformation in social networks has become a global risk, implicitly influencing public opinion and threatening social/political development. Misinformation…
Conditional Text Generation for Harmonious Human-Machine Interaction
Bin Guo, Hao Wang, Yasan Ding +4
In recent years, with the development of deep learning, text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaur…
The Mass, Fake News, and Cognition Security
Bin Guo, Yasan Ding, Yueheng Sun +2
The wide spread of fake news in social networks is posing threats to social stability, economic development and political democracy etc. Numerous studies have explored the effectiv…