1k citations · 2.3k across the 48 of their papers we have counts for
10 papers · 1 filter
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li, Chenghao Hu, Jingyan Jiang +3
Recent years have witnessed a rapid growth of deep-network based services and applications. A practical and critical problem thus has emerged: how to effectively deploy the deep ne…
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
Guanyu Gao, Linsen Dong, Huaizheng Zhang +2
Adaptive bitrate (ABR) streaming is the de facto solution for achieving smooth viewing experiences under unstable network conditions. However, most of the existing rate adaptation…
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…
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment
Yong Luo, Huaizheng Zhang, Yongjie Wang +2
Recruitment of appropriate people for certain positions is critical for any companies or organizations. Manually screening to select appropriate candidates from large amounts of re…
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph…
Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization
Zhenzhen Hui, Peng Sun, Yonggang Wen
Age estimation is a difficult task which requires the automatic detection and interpretation of facial features. Recently, Convolutional Neural Networks (CNNs) have made remarkable…
Intelligent Trainer for Model-Based Reinforcement Learning
Yuanlong Li, Linsen Dong, Xin Zhou +2
Model-based reinforcement learning (MBRL) has been proposed as a promising alternative solution to tackle the high sampling cost challenge in the canonical reinforcement learning (…
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks
Wenbo Wang, Dinh Thai Hoang, Peizhao Hu +5
The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and industries. The blockc…
DeepQoE: A unified Framework for Learning to Predict Video QoE
Huaizheng Zhang, Han Hu, Guanyu Gao +2
Motivated by the prowess of deep learning (DL) based techniques in prediction, generalization, and representation learning, we develop a novel framework called DeepQoE to predict v…
On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing
Wuqiong Luo, Wee Peng Tay, Peng Sun +1
The increasing popularity of cloud computing has resulted in a proliferation of data centers. Effective placement of data centers improves network performance and minimizes clients…