124 citations · 319 across the 32 of their papers we have counts for
33 papers
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing
Bowen Pang, Sicong Liu, Hongli Wang +6
With the rapid development of deep learning, recent research on intelligent and interactive mobile applications (e.g., health monitoring, speech recognition) has attracted extensiv…
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices
Lehao Wang, Zhiwen Yu, Haoyi Yu +4
Mobile video applications today have attracted significant attention. Deep learning model (e.g. deep neural network, DNN) compression is widely used to enable on-device inference f…
RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence
Changan Yang, Yaxing Chen, Yao Zhang +5
Vehicular crowd intelligence (VCI) is an emerging research field. Facilitated by state-of-the-art vehicular ad-hoc networks and artificial intelligence, various VCI applications co…
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu, Bin Guo, Cheng Fang +4
The emerging field of artificial intelligence of things (AIoT, AI+IoT) is driven by the widespread use of intelligent infrastructures and the impressive success of deep learning (D…
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Jing Du, Zesheng Ye, Bin Guo +2
Learning accurate cross-domain preference mappings in the absence of overlapped users/items has presented a persistent challenge in Non-overlapping Cross-domain Recommendation (NOC…
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Lei Han, Chunyu Tu, Zhiwen Yu +4
Efficiently obtaining the up-to-date information in the disaster-stricken area is the key to successful disaster response. Unmanned aerial vehicles (UAVs), workers and cars can col…
Limits of Predictability in Top-N Recommendation
En Xu, Zhiwen Yu, Ying Zhang +2
Top-N recommendation aims to recommend each consumer a small set of N items from a large collection of items, and its accuracy is one of the most common indexes to evaluate the per…
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
Sicong Liu, Xiaochen Li, Zimu Zhou +4
The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device p…
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
Jing Du, Zesheng Ye, Lina Yao +2
Recent sequential recommendation models rely increasingly on consecutive short-term user-item interaction sequences to model user interests. These approaches have, however, raised…
Equivalence between Time Series Predictability and Bayes Error Rate
En Xu, Tao Zhou, Zhiwen Yu +2
Predictability is an emerging metric that quantifies the highest possible prediction accuracy for a given time series, being widely utilized in assessing known prediction algorithm…
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…
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation
Nuo Li, Bin Guo, Yan Liu +3
Questions in Community Question Answering (CQA) sites are recommended to users, mainly based on users' interest extracted from questions that users have answered or have asked. How…
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
Siyuan Ren, Bin Guo, Longbing Cao +3
The prediction of express delivery sequence, i.e., modeling and estimating the volumes of daily incoming and outgoing parcels for delivery, is critical for online business, logisti…
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Jiahui Cheng, Bin Guo, Jiaqi Liu +4
Surface defect detection plays an increasingly important role in manufacturing industry to guarantee the product quality. Many deep learning methods have been widely used in surfac…
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li, Bin Guo, Jiangshan Zhang +5
Automated Guided Vehicles (AGVs) have been widely used for material handling in flexible shop floors. Each product requires various raw materials to complete the assembly in produc…
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…
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree
Qingyang Li, Zhiwen Yu, Lina Yao +1
Identity recognition plays an important role in ensuring security in our daily life. Biometric-based (especially activity-based) approaches are favored due to their fidelity, unive…
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
Sicong Liu, Bin Guo, Ke Ma +2
There are many deep learning (e.g., DNN) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of hu…
Object Tracking by Least Spatiotemporal Searches
Zhiyong Yu, Lei Han, Chao Chen +2
Tracking a car or a person in a city is crucial for urban safety management. How can we complete the task with minimal number of spatiotemporal searches from massive camera records…
Towards information-rich, logical text generation with knowledge-enhanced neural models
Hao Wang, Bin Guo, Wei Wu +1
Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life. However, existing end-to-end neural mode…
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…
CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
Yimeng Liu, Zhiwen Yu, Bin Guo +3
With the rise of crowdsourcing and mobile crowdsensing techniques, a large number of crowdsourcing applications or platforms (CAP) have appeared. In the mean time, CAP-related mode…
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…
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data
Bin Guo, Huihui Chen, Yan Liu +3
With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and nois…