Chang Deng

27 papers A* 3B 3C 2Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Differentiable Structure Learning for General Binary Data.
CoRR
Chang Deng, Bryon Aragam
2025 J jnl
Low-AoI data collection for multi-UAVs-UGVs assisted large-scale IoT systems based on workload balancing.
Ad Hoc Networks
Chang Deng, Xiuwen Fu, Claudio Savaglio, Giancarlo Fortino
2025 J jnl
Low-AoI data collection in integrated UAV-UGV-assisted IoT systems based on deep reinforcement learning.
Comput. Networks
Xiuwen Fu, Chang Deng, Antonio Guerrieri
2024 J jnl
High-dimensional sparse single-index regression via Hilbert-Schmidt independence criterion.
Stat. Comput.
Xin Chen, Chang Deng, Shuaida He, Runxiong Wu, Jia Zhang
2024 J jnl
Likelihood-based Differentiable Structure Learning.
CoRR
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2024 A* conf
Markov Equivalence and Consistency in Differentiable Structure Learning.
NeurIPS
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2023 A* conf
Global Optimality in Bivariate Gradient-based DAG Learning.
NeurIPS
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2023 J jnl
Global Optimality in Bivariate Gradient-based DAG Learning.
CoRR
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2023 A* conf
Optimizing NOTEARS Objectives via Topological Swaps.
ICML
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar
2023 J jnl
Optimizing NOTEARS Objectives via Topological Swaps.
CoRR
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2022 J jnl
A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems.
IEEE Access
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
2022 J jnl
A New Way for Cartesian Coordinate Transformation and Its Precision Evaluation.
Remote. Sens.
Ronghua Yang, Chang Deng, Kegen Yu, Zhao Li, Leixilan Pan
2021 — conf
A Simple Approach to Balance Task Loss in Multi-Task Learning.
IEEE BigData
Sicong Liang, Chang Deng, Yu Zhang
2021 — conf
Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network.
ECML/PKDD (1)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2020 J jnl
An Illumination Insensitive Descriptor Combining the CSLBP Features for Street View Images in Augmented Reality: Experimental Studies.
ISPRS Int. J. Geo Inf.
Zejun Xiang, Ronghua Yang, Chang Deng, Mingxing Teng, Mengkun She, Degui Teng
2020 J jnl
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network.
CoRR
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2020 — conf
PowerPool: Multi-source Ambient Energy harvesting.
BigCom
Xiang Cui, Ji Zhang, Hao Zhou, Chang Deng
2020 — conf
Research on promoting the application of disease prediction system based on machine learnin.
ISAIMS
Rongqiang Shao, Yan Chen, Chang Deng, Qingyue Gong
2020 J jnl
Simulation and Optimisation of Air Conditioning Systems using Machine Learning.
CoRR
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
2019 B conf
Energy Efficient UAV-Enabled Multicast Systems: Joint Grouping and Trajectory Optimization.
GLOBECOM
Chang Deng, Wenjun Xu, Chia-Han Lee, Hui Gao, Wenbo Xu, Zhiyong Feng
2018 — conf
A Novel Rotor Position Observer for Self-sensing of Interior Permanent Magnet Synchronous Motor with Dynamic Error Compensation.
ICCSIP (1)
Chang Deng, Jun Lu
2007 B conf
Image segmentation using joint clustering analysis of attribute data and relationship data.
SMC
Chang Deng, Özge Uncu, William A. Gruver
2005 J jnl
Obstacle avoidance of a mobile robot using hybrid learning approach.
IEEE Trans. Ind. Electron.
Meng Joo Er, Chang Deng
2004 C conf
Dynamic fuzzy Q-learning and control of mobile robots.
ICARCV
Chang Deng, Meng Joo Er, Jing Xu
2004 J jnl
Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning.
IEEE Trans. Syst. Man Cybern. Part B
Meng Joo Er, Chang Deng
2003 B conf
Automatic generation of fuzzy inference systems by dynamic fuzzy Q-learning.
SMC
Chang Deng, Meng Joo Er
2002 C conf
An intelligent robotic system based on neural-fuzzy approach.
ICARCV
Meng Joo Er, Chang Deng