93 citations · 308 across the 25 of their papers we have counts for
6 papers · 1 filter
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
Bowen Zhang, Hexiang Hu, Joonseok Lee +5
Identifying a short segment in a long video that semantically matches a text query is a challenging task that has important application potentials in language-based video search, b…
EdgeBench: A Workflow-based Benchmark for Edge Computing
Qirui Yang, Runyu Jin, Nabil Gandhi +3
Edge computing has been developed to utilize multiple tiers of resources for privacy, cost and Quality of Service (QoS) reasons. Edge workloads have the characteristics of data-dri…
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
Sitao Luan, Mingde Zhao, Chenqing Hua +2
The core operation of current Graph Neural Networks (GNNs) is the aggregation enabled by the graph Laplacian or message passing, which filters the neighborhood node information. Th…
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
Sitao Luan, Mingde Zhao, Xiao-Wen Chang +1
The performance limit of Graph Convolutional Networks (GCNs) and the fact that we cannot stack more of them to increase the performance, which we usually do for other deep learning…
META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning
Mingde Zhao
Temporal-Difference (TD) learning is a standard and very successful reinforcement learning approach, at the core of both algorithms that learn the value of a given policy, as well…
Semi-Federated Learning
Zhikun Chen, Daofeng Li, Ming Zhao +2
Federated learning (FL) enables massive distributed Information and Communication Technology (ICT) devices to learn a global consensus model without any participants revealing thei…