Hongbo Liu
Dalian Maritime University
107 Papers
507 Citations
Hongbo Liu is an academic researcher from Dalian Maritime University. The author has contributed to research in topics: Particle swarm optimization & Multi-swarm optimization. The author has an hindex of 25, co-authored 102 publications. Previous affiliations of Hongbo Liu include University of California, San Diego & Dalian University of Technology.
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Papers
•Posted Content
Hybrid Genetic Algorithm for Cloud Computing Applications.
Saeed Javanmardi,Mohammad Shojafar,Danilo Amendola,Nicola Cordeschi,Hongbo Liu,Ajith Abraham +5 more
TL;DR: This paper demonstrates the advantage of MAGA over traditional GA, and exploits multi-agent genetic algorithms to solve the load balancing problem in cloud computing, by designing a load balancing model on the basis of virtualization resource management.
Image Color Transfer Approach by Analogy with Taylor Expansion
Hongbo Liu,Ye Ji,Aboul Ella Hassanien +2 more
- 01 Apr 2013
TL;DR: Each polynomial in the Taylor analogy expansion of images is considered as one of image features which help in re-understanding images and its features and the proposed technique would be not isolated but mutual relational based on image expansion.
Group-enhanced ranking
TL;DR: This paper presents a novel machine learning framework for ranking based on document groups, where a preference strategy is introduced in the loss functions, which are sensitive to the group with higher relevance labels to enhance the group ranking method.
SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction
TL;DR: A novel Sequence Entropy Energy-based Model named SEEM, which consists of a generator network and an energy network, which substantially outperform the current state-of-the-art approaches in terms of diversity, accuracy and stability of pedestrian trajectory prediction.
A human-computer cooperative particle swarm optimization based immune algorithm for layout design
TL;DR: A novel human-computer cooperative PSO-based immune algorithm (HCPSO-IA) is proposed, in which the initial population consists of the initial artificial individuals supplied by human and the initial algorithm individuals are generated by a chaotic strategy.