Jiujun Cheng
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it
- Computational Theory and Mathematics — 19 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Jiujun Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jérôme Härri
- Brad Karp
- Anders Lindgren
- V. Naumov
- Fethi Filali
- Christian Bonnet
- Amir H. Gandomi
- Christoph Sommer
- Rainer Baumann
- Avri Doria
Papers from Jiujun Cheng's perspective
Ordered by how strongly the researchers Jiujun Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- GPSR: greedy perimeter stateless routing for wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
- Performance evaluation of safety applications over DSRC vehicular ad hoc networks (International Workshop on VehiculAr Inter-NETworking)
- VanetMobiSim: generating realistic mobility patterns for VANETs (International Workshop on VehiculAr Inter-NETworking)
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- A new optimizer using particle swarm theory
- Multilayer feedforward networks are universal approximators
- A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization (J. Heuristics)
- An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces (ACM Interational Symposium on Mobile Ad Hoc Networking and Computing)
- A logical calculus of the ideas immanent in nervous activity
Their papers
- Routing in Internet of Vehicles: A Review (2015) — 360 citations
- Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021) — 310 citations
- Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction (2019) — 577 citations