72 citations · 117 across the 10 of their papers we have counts for
10 papers
Age of Information Diffusion on Social Networks
Songhua Li, Lingjie Duan
To promote viral marketing, major social platforms (e.g., Facebook Marketplace and Pinduoduo) repeatedly select and invite different users (as seeds) in online social networks to s…
Staying Fresh: Efficient Algorithms for Timely Social Information Distribution
Songhua Li, Lingjie Duan
In location-based social networks (LBSNs), users sense urban point-of-interest (PoI) information in the vicinity and share such information with friends in online social networks.…
To Save Mobile Crowdsourcing from Cheap-talk: A Game Theoretic Learning Approach
Shugang Hao, Lingjie Duan
Today mobile crowdsourcing platforms invite users to provide anonymous reviews about service experiences, yet many reviews are found biased to be extremely positive or negative. Th…
Adaptive Federated Learning via New Entropy Approach
Shensheng Zheng, Wenhao Yuan, Xuehe Wang +1
Federated Learning (FL) has emerged as a prominent distributed machine learning framework that enables geographically discrete clients to train a global model collaboratively while…
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Lin Zhang, Li Shen, Liang Ding +2
Federated Learning (FL) is an emerging distributed learning paradigm under privacy constraint. Data heterogeneity is one of the main challenges in FL, which results in slow converg…
Market2Dish: Health-aware Food Recommendation
Wenjie Wang, Ling-yu Duan, Hao Jiang +3
With the rising incidence of some diseases, such as obesity and diabetes, a healthy diet is arousing increasing attention. However, most existing food-related research efforts focu…
Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing
Jia Yan, Suzhi Bi, Lingjie Duan +1
Provided with mobile edge computing (MEC) services, wireless devices (WDs) no longer have to experience long latency in running their desired programs locally, but can pay to offlo…
Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
Li Duan, Gerardo Aragon-Camarasa
We present an approach to continuous perception for robotic laundry tasks. Our assumption is that the visual prediction of a garment's shapes and weights is possible via a neural n…
Transfer Metric Learning: Algorithms, Applications and Outlooks
Yong Luo, Yonggang Wen, Ling-Yu Duan +1
Distance metric learning (DML) aims to find an appropriate way to reveal the underlying data relationship. It is critical in many machine learning, pattern recognition and data min…
Pruning Convolutional Neural Networks for Image Instance Retrieval
Gaurav Manek, Jie Lin, Vijay Chandrasekhar +4
In this work, we focus on the problem of image instance retrieval with deep descriptors extracted from pruned Convolutional Neural Networks (CNN). The objective is to heavily prune…