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05/24/2023
6G Enabled Advanced Transportation Systems
The 6th generation (6G) wireless communication network is envisaged to b...
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01/19/2023
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection
With the increasing prevalence of scalable file systems in the context o...
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12/13/2022
Causal Inference on Win Ratio for Observational Data with Dependent Subjects
Composite endpoints are commonly used with an anticipation that clinical...
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10/20/2022
Optimal Settings for Cryptocurrency Trading Pairs
The goal of cryptocurrencies is decentralization. In principle, all curr...
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07/04/2022
Modeling Randomly Walking Volatility with Chained Gamma Distributions
Volatility clustering is a common phenomenon in financial time series. T...
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04/11/2022
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
The development of personalized recommendation has significantly improve...
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09/08/2021
Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?
The proposition of lottery ticket hypothesis revealed the relationship b...
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06/09/2021
Design and Implementation of 5G eHealth Systems, Technologies, Use Cases and Future Challenges
Fifth generation (5G) aims to connect massive devices with even higher r...
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05/31/2021
Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms
This paper investigates the energy efficiency (EE) optimization in downl...
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05/31/2021
Exploring Sparse Expert Models and Beyond
Mixture-of-Experts (MoE) models can achieve promising results with outra...
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10/20/2019
RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning
We present RLScheduler, a deep reinforcement learning based job schedule...
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01/03/2019
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
For very large datasets, random projections (RP) have become the tool of...
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06/11/2018
Gear Training: A new way to implement high-performance model-parallel training
The training of Deep Neural Networks usually needs tremendous computing ...
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03/16/2018
Distributed Cache Enabled V2X Networks: Proposals, Research Trends and Challenging Issues
Nowadays, the internet of vehicles (IoV) has been evolved into the stage...
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01/31/2018
