Di Zhang | DeepAI

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Featured Co-authors

Bo Zhang
226 publications
Jie Zhang
215 publications
Yong Li
127 publications
Qingqing Wu
112 publications
Shuai Li
104 publications
Yi Ren
101 publications
Jingren Zhou
90 publications
Wei Lin
74 publications
Hongxia Yang
74 publications
Hao Dong
65 publications
Chang Zhou
52 publications

∙ 05/24/2023

6G Enabled Advanced Transportation Systems

The 6th generation (6G) wireless communication network is envisaged to b...

0 Ruiqi Liu, et al. ∙

∙ 01/19/2023

ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection

With the increasing prevalence of scalable file systems in the context o...

0 Chris Egersdoerfer, et al. ∙

∙ 12/13/2022

Causal Inference on Win Ratio for Observational Data with Dependent Subjects

Composite endpoints are commonly used with an anticipation that clinical...

0 Di Zhang, et al. ∙

∙ 10/20/2022

Optimal Settings for Cryptocurrency Trading Pairs

The goal of cryptocurrencies is decentralization. In principle, all curr...

0 Di Zhang, et al. ∙

∙ 07/04/2022

Modeling Randomly Walking Volatility with Chained Gamma Distributions

Volatility clustering is a common phenomenon in financial time series. T...

0 Di Zhang, et al. ∙

∙ 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...

0 Yuanxing Zhang, et al. ∙

∙ 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...

0 Di Zhang, et al. ∙

∙ 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...

0 Di Zhang, et al. ∙

∙ 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...

0 Li You, et al. ∙

∙ 05/31/2021

Exploring Sparse Expert Models and Beyond

Mixture-of-Experts (MoE) models can achieve promising results with outra...

10 An Yang, et al. ∙

∙ 10/20/2019

RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning

We present RLScheduler, a deep reinforcement learning based job schedule...

0 Di Zhang, et al. ∙

∙ 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...

0 Michael Wojnowicz, et al. ∙

∙ 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 ...

0 Hao Dong, et al. ∙

∙ 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...

0 Di Zhang, et al. ∙

∙ 01/31/2018

Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems with Wireless Energy Harvesting

In this paper, we investigate a multiuser distributed antenna system wit...

0 Zhengyu Zhu, et al. ∙

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