Chang Deng

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 16

Top Topics

Illumination Insensitive

Air Conditioning

Coordinate Transformation

Top Venues

Publications

Xin Chen, Chang Deng, Shuaida He, Runxiong Wu, Jia Zhang
High-dimensional sparse single-index regression via Hilbert-Schmidt independence criterion. Stat. Comput. 34 (2) (2024)
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
Global Optimality in Bivariate Gradient-based DAG Learning. CoRR (2023)
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
Optimizing NOTEARS Objectives via Topological Swaps. CoRR (2023)
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar
Optimizing NOTEARS Objectives via Topological Swaps. ICML (2023)
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
Global Optimality in Bivariate Gradient-based DAG Learning. NeurIPS (2023)
Ronghua Yang, Chang Deng, Kegen Yu, Zhao Li, Leixilan Pan
A New Way for Cartesian Coordinate Transformation and Its Precision Evaluation. Remote. Sens. 14 (4) (2022)
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems. IEEE Access 10 (2022)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. ECML/PKDD (1) (2021)
Sicong Liang, Chang Deng, Yu Zhang
A Simple Approach to Balance Task Loss in Multi-Task Learning. IEEE BigData (2021)
Zejun Xiang, Ronghua Yang, Chang Deng, Mingxing Teng, Mengkun She, Degui Teng
An Illumination Insensitive Descriptor Combining the CSLBP Features for Street View Images in Augmented Reality: Experimental Studies. ISPRS Int. J. Geo Inf. 9 (6) (2020)
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
Simulation and Optimisation of Air Conditioning Systems using Machine Learning. CoRR (2020)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. CoRR (2020)
Rongqiang Shao, Yan Chen, Chang Deng, Qingyue Gong
Research on promoting the application of disease prediction system based on machine learnin. ISAIMS (2020)
Xiang Cui, Ji Zhang, Hao Zhou, Chang Deng
PowerPool: Multi-source Ambient Energy harvesting. BigCom (2020)
Chang Deng, Wenjun Xu, Chia-Han Lee, Hui Gao, Wenbo Xu, Zhiyong Feng
Energy Efficient UAV-Enabled Multicast Systems: Joint Grouping and Trajectory Optimization. GLOBECOM (2019)
Chang Deng, Jun Lu
A Novel Rotor Position Observer for Self-sensing of Interior Permanent Magnet Synchronous Motor with Dynamic Error Compensation. ICCSIP (1) (2018)
Chang Deng, Özge Uncu, William A. Gruver
Image segmentation using joint clustering analysis of attribute data and relationship data. SMC (2007)
Meng Joo Er, Chang Deng
Obstacle avoidance of a mobile robot using hybrid learning approach. IEEE Trans. Ind. Electron. 52 (3) (2005)
Chang Deng, Meng Joo Er, Jing Xu
Dynamic fuzzy Q-learning and control of mobile robots. ICARCV (2004)
Meng Joo Er, Chang Deng
Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning. IEEE Trans. Syst. Man Cybern. Part B 34 (3) (2004)
Chang Deng, Meng Joo Er
Automatic generation of fuzzy inference systems by dynamic fuzzy Q-learning. SMC (2003)
Meng Joo Er, Chang Deng
An intelligent robotic system based on neural-fuzzy approach. ICARCV (2002)