Soon-Jo Chung
Computer Networks and Communications · 2007–2022
A researcher in the Science corpus: 7 papers; trusts 41 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 65 citations into it; #2,102 of 9,886 by trust here, #4,757 by citations
- Aerospace Engineering — 42 citations into it
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Control and Systems Engineering — 34 citations into it; #1,662 of 8,257 by trust here, #2,890 by citations
- Reinforcement Learning — 15 citations into it
- Mechanical Engineering — 14 citations into it
- Biomedical Engineering — 13 citations into it
Whom Soon-Jo Chung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Reza Olfati-Saber
- Wei Wang
- Jean-Jacques E. Slotine
- Wei Ren
- Ali Jadbabaie
- Richard M. Murray
- Petter Ögren
- Daniel P. Scharf
- Murat Arcak
- Ronald P. S. Mahler
Who trusts Soon-Jo Chung overall
- Jie Mei
- Gang Chen
- Wei Ren
- Yongcan Cao
- Frank L. Lewis
- Guangfu Ma
- Umair Ahsun
- Aditya A. Paranjape
- Wenwu Yu
- Jean-Jacques E. Slotine
Papers from Soon-Jo Chung's perspective
Ordered by how strongly the researchers Soon-Jo Chung trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Consensus problems in networks of agents with switching topology and time-delays
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Coordination of groups of mobile autonomous agents using nearest neighbor rules
Their papers
- Meta-Adaptive Nonlinear Control: Theory and Algorithms (2021) — 57 citations
- Neural-Fly enables rapid learning for agile flight in strong winds (2022) — 320 citations
- A Survey on Aerial Swarm Robotics (2018) — 582 citations
- Neural Lander: Stable Drone Landing Control Using Learned Dynamics (2018) — 350 citations
- Swarm-Keeping Strategies for Spacecraft Under J2 and Atmospheric Drag Perturbations (2011) — 141 citations
- Application of Synchronization to Formation Flying Spacecraft: Lagrangian Approach (2008) — 312 citations
- Cooperative Robot Control and Concurrent Synchronization of Lagrangian Systems (2007) — 571 citations