Lei Luo

Orcid: 0000-0002-9329-1411

Affiliations:
  • National University of Defense Technology, College of Computer, Changsha, China


According to our database1, Lei Luo authored at least 28 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints.
IEEE Trans. Image Process., 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multi-object Tracking with a Hierarchical Single-Branch Network.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

2021
Gaussian Mixture Model Clustering with Incomplete Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Multi-object Tracking with a Hierarchical Single-branch Network.
CoRR, 2021

Two-Stage Real-Time Multi-object Tracking with Candidate Selection.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020
Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters.
IEEE Trans. Parallel Distributed Syst., 2020

Efficient Parallel TLD on CPU-GPU Platform for Real-Time Tracking.
KSII Trans. Internet Inf. Syst., 2020

Multi-object Tracking Combines Motion and Visual Information.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

2019
Poster Abstract: Deep Learning Workloads Scheduling with Reinforcement Learning on GPU Clusters.
Proceedings of the IEEE INFOCOM 2019, 2019

Research on the Relationship between APP Size and Installation Time in Intelligent Mobile Devices.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

GENIE: QoS-guided Dynamic Scheduling for CNN-based Tasks on SME Clusters.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Extend Capability of Low-End Android Devices by Scheduling Apps Between Local and Cloud.
IEEE Access, 2018

Deep Discriminative Clustering Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multiple CNN-based Tasks Scheduling across Shared GPU Platform in Research and Development Scenarios.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017
Exploiting a depth context model in visual tracking with correlation filter.
Frontiers Inf. Technol. Electron. Eng., 2017

上下文敏感的控制流完整性保护的改进方法 (Improved Method of Context-sensitive Control Flow Integrity Protection).
计算机科学, 2017

Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability.
Int. J. Comput. Vis., 2017

MicRun: A framework for scale-free graph algorithms on SIMD architecture of the Xeon Phi.
Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

2016
ERPC: An Edge-Resources Based Framework to Reduce Bandwidth Cost in the Personal Cloud.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Improving JavaScript Malware Classifier's Security against Evasion by Particle Swarm Optimization.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

ROP-Hunt: Detecting Return-Oriented Programming Attacks in Applications.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2016

An Optimized DHT for Linux Package Distribution.
Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

A novel optimization scheme for caching in locality-aware P2P networks.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

2015
A Computational Model of the Short-Cut Rule for 2D Shape Decomposition.
IEEE Trans. Image Process., 2015

Fast tracking via context depth model learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Enable Scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals.
Proceedings of the British Machine Vision Conference 2015, 2015

2013
Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion.
IEEE Trans. Multim., 2013


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