Chun-tian Cheng
Environmental Engineering · 2001–2017
A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 21 citations into it; #739 of 5,479 by trust here, #1,062 by citations
- Water Science and Technology — 18 citations into it; #80 of 1,711 by trust here, #403 by citations
- Artificial Intelligence — 15 citations into it
- Global and Planetary Change — 13 citations into it; #965 of 10,225 by trust here, #3,398 by citations
- Electrical and Electronic Engineering — 7 citations into it
- Management Science and Operations Research — 7 citations into it
- Ocean Engineering — 7 citations into it; #258 of 3,193 by trust here, #353 by citations
- Statistical Learning Theory — 5 citations into it
Whom Chun-tian Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John H. Holland
- Qingyun Duan
- David E. Goldberg
- Henrik Madsen
- N. Null
- Ping-Feng Pai
- Soroosh Sorooshian
- Pao-Shan Yu
- Vladimir Naumovich Vapnik
- Alex Smola
Who trusts Chun-tian Cheng overall
- Kwok-Wing Chau
- Jürgen Geiser
- Andreas Efstratiadis
- Soon-Thiam Khu
- C. Wu
- Chaopeng Shen
- Isa Ebtehaj
- Serena H. Chen
- Amir Mosavi
- Yan Li
Papers from Chun-tian Cheng's perspective
Ordered by how strongly the researchers Chun-tian Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Statistical learning theory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Using the Nyström Method to Speed Up Kernel Machines
- Effective and efficient global optimization for conceptual rainfall‐runoff models
Their papers
- Hydropower system operation optimization by discrete differential dynamic programming based on orthogonal experiment design (2017) — 127 citations
- Short‐Term Hydroscheduling with Discrepant Objectives Using Multi‐Step Progressive Optimality Algorithm 1 (2012) — 62 citations
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series (2009) — 811 citations
- Using support vector machines for long-term discharge prediction (2006) — 568 citations
- Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall–runoff model calibration (2002) — 337 citations
- FUZZY ITERATION METHODOLOGY FOR RESERVOIR FLOOD CONTROL OPERATION 1 (2001) — 89 citations