A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation

Selected papers on Deep Learning

  • Date:
  • 2020-05-19
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▪ Feature-based aggregation and deep reinforcement learning: a survey and some new implementations

Dimitri P. Bertsekas

http://www.ieee-jas.org/article/doi/10.1109/JAS.2018.7511249?viewType=HTML&pageType=en

Citation: Dimitri P. Bertsekas, "Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations," IEEE/CAA J. Autom.Sinica, vol. 6, no. 1, pp. 1-31, Jan. 2019.

▪ An Overview and Perspectives On Bidirectional Intelligence: Lmser Duality, Double IA Harmony, and Causal Computation

Lei Xu    

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911603

Citation: L. Xu, "An Overview and Perspectives On Bidirectional Intelligence: Lmser Duality, Double IA Harmony, and Causal Computation," IEEE/CAA J. Autom.Sinica, vol. 6, no. 4, pp. 865-893, July 2019.

▪ Progressive LiDAR Adaptation for Road Detection

Zhe Chen, Jing Zhang, Dacheng Tao

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911459

Citation: Z. Chen, J. Zhang and D. C. Tao,"Progressive LiDAR Adaptation for Road Detection," IEEE/CAA J. Autom. Sinica, vol. 6, no.3, pp. 693-702, May 2019.

▪ Deep Learning and Time Series-to-Image Encoding for Financial Forecasting

Silvio Barra, Salvatore Mario Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003132

Citation: S. Barra, S. M. Carta, A. Corriga, A. S.Podda, and D. R. Recupero, “Deep learning and time series-to-image encoding for financial forecasting,” IEEE/CAA J.Autom. Sinica, vol. 7, no. 3, pp. 683–692, May 2020.

▪ Road Safety Performance Function Analysis With Visual Feature Importance of Deep Neural Nets

Guangyuan Pan,Liping Fu, Qili Chen, Ming Yu, Matthew Muresan

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003108

Citation: G. Y. Pan, L. P. Fu, Q. L. Chen, M. Yu, andM. Muresan, “Road safety performance function analysis with visual feature importance of deep neural nets,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 3, pp. 735–744, May 2020.

▪ Adaptive Linear Quadratic Regulator for Continuous-Time Systems With Uncertain Dynamics

Sumit Kumar Jha, Shubhendu Bhasin

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911438

Citation: S. K. Jha and S. Bhasin, “Adaptive linear quadratic regulator for continuous-time systems with uncertain dynamics,” IEEE/CAA J. Autom.Sinica, vol. 7, no. 3,pp. 833-841, May 2020.

▪ Accurate and Robust Eye Center Localization via Fully Convolutional Networks

Yifan Xia, Hui Yu,Fei-Yue Wang

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911684

Citation: Y. F. Xia, H. Yu and F.-Y. Wang,"Accurate and Robust Eye Center Localization via Fully Convolutional Networks," IEEE/CAA J. Autom. Sinica,vol. 6, no. 5, pp. 1127-1138, Sept. 2019.

▪ Balance Control of a Biped Robot on a Rotating Platform Based on Efficient Reinforcement Learning

Ao Xi, Thushal Wijekoon Mudiyanselage, Dacheng Tao, Chao Chen

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911567

Citation: A. Xi, T. W.  Mudiyanselage, D. C. Tao and C. Chen,"Balance Control of a Biped Robot on a Rotating Platform Based on Efficient Reinforcement Learning," IEEE/CAAJ. Autom. Sinica, vol. 6, no. 4, pp. 938-951, July 2019.



IEEE/CAA Journal of Automatica Sinica

  • Indexed in: SCIE, EI, Scopus, etc.
    CiteScore 2018: 5.31
    Rank:Top 9% (Category of Control and Systems Engineering), Top 10% (Categories of Information System and Artificial Intelligence)
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IEEE/CAA Journal of Automatica Sinica is indexed in SCIE

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