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2020 – today
- 2024
[j6]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): 86 (2024)- [i5]Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam:
Likelihood-based Differentiable Structure Learning. CoRR abs/2410.06163 (2024) - 2023
- [c12]Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar:
Optimizing NOTEARS Objectives via Topological Swaps. ICML 2023: 7563-7595 - [c11]Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam:
Global Optimality in Bivariate Gradient-based DAG Learning. NeurIPS 2023 - [i4]Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar:
Optimizing NOTEARS Objectives via Topological Swaps. CoRR abs/2305.17277 (2023) - [i3]Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar:
Global Optimality in Bivariate Gradient-based DAG Learning. CoRR abs/2306.17378 (2023) - 2022
- [j5]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: 6842-6855 (2022) - [j4]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): 864 (2022) - 2021
- [c10]Sicong Liang, Chang Deng, Yu Zhang:
A Simple Approach to Balance Task Loss in Multi-Task Learning. IEEE BigData 2021: 812-823 - [c9]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: 538-553 - 2020
- [j3]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): 362 (2020) - [c8]Xiang Cui, Ji Zhang, Hao Zhou, Chang Deng:
PowerPool: Multi-source Ambient Energy harvesting. BigCom 2020: 86-90 - [c7]Rongqiang Shao, Yan Chen, Chang Deng, Qingyue Gong:
Research on promoting the application of disease prediction system based on machine learnin. ISAIMS 2020: 45-50 - [i2]Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang:
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. CoRR abs/2002.04813 (2020) - [i1]Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir:
Simulation and Optimisation of Air Conditioning Systems using Machine Learning. CoRR abs/2006.15296 (2020)
2010 – 2019
- 2019
- [c6]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: 1-7 - 2018
- [c5]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: 452-462
2000 – 2009
- 2007
- [c4]Chang Deng, Özge Uncu, William A. Gruver:
Image segmentation using joint clustering analysis of attribute data and relationship data. SMC 2007: 3834-3839 - 2005
- [j2]Meng Joo Er, Chang Deng:
Obstacle avoidance of a mobile robot using hybrid learning approach. IEEE Trans. Ind. Electron. 52(3): 898-905 (2005) - 2004
- [j1]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): 1478-1489 (2004) - [c3]Chang Deng, Meng Joo Er, Jing Xu:
Dynamic fuzzy Q-learning and control of mobile robots. ICARCV 2004: 2336-2341 - 2003
- [c2]Chang Deng, Meng Joo Er:
Automatic generation of fuzzy inference systems by dynamic fuzzy Q-learning. SMC 2003: 3206-3211 - 2002
- [c1]Meng Joo Er, Chang Deng:
An intelligent robotic system based on neural-fuzzy approach. ICARCV 2002: 619-624
Coauthor Index
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