An intelligent robotic system based on neural-fuzzy approach. - Meng Joo Er; Chang Deng (ICARCV, 2002)

Automatic generation of fuzzy inference systems by dynamic fuzzy Q-learning. - Chang Deng; Meng Joo Er (SMC, 2003)

Dynamic fuzzy Q-learning and control of mobile robots. - Chang Deng; Meng Joo Er; Jing Xu (ICARCV, 2004)

Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning. - Meng Joo Er; Chang Deng (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Obstacle avoidance of a mobile robot using hybrid learning approach. - Meng Joo Er; Chang Deng (IEEE Trans. Ind. Electron., 2005)

Image segmentation using joint clustering analysis of attribute data and relationship data. - Chang Deng; Özge Uncu; William A. Gruver (SMC, 2007)

A Novel Rotor Position Observer for Self-sensing of Interior Permanent Magnet Synchronous Motor with Dynamic Error Compensation. - Chang Deng; Jun Lu (ICCSIP (1), 2018)

Energy Efficient UAV-Enabled Multicast Systems: Joint Grouping and Trajectory Optimization. - Chang Deng; Wenjun Xu 001; Chia-Han Lee; Hui Gao 001; Wenbo Xu 003; Zhiyong Feng 001 (GLOBECOM, 2019)

PowerPool: Multi-source Ambient Energy harvesting. - Xiang Cui; Ji Zhang; Hao Zhou 001; Chang Deng (BigCom, 2020)

Research on promoting the application of disease prediction system based on machine learnin. - Rongqiang Shao; Yan Chen; Chang Deng; Qingyue Gong (ISAIMS, 2020)

Simulation and Optimisation of Air Conditioning Systems using Machine Learning. - Rakshitha Godahewa; Chang Deng; Arnaud Prouzeau; Christoph Bergmeir (CoRR, 2020)

An Illumination Insensitive Descriptor Combining the CSLBP Features for Street View Images in Augmented Reality: Experimental Studies. - Zejun Xiang 002; Ronghua Yang; Chang Deng; Mingxing Teng; Mengkun She; Degui Teng (ISPRS Int. J. Geo Inf., 2020)

A Simple Approach to Balance Task Loss in Multi-Task Learning. - Sicong Liang; Chang Deng; Yu Zhang 006 (IEEE BigData, 2021)

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. - Pengxin Guo; Chang Deng; Linjie Xu; Xiaonan Huang; Yu Zhang 006 (ECML/PKDD (1), 2021)

A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems. - Rakshitha Godahewa; Chang Deng; Arnaud Prouzeau; Christoph Bergmeir (IEEE Access, 2022)

A New Way for Cartesian Coordinate Transformation and Its Precision Evaluation. - Ronghua Yang; Chang Deng; Kegen Yu; Zhao Li; Leixilan Pan (Remote. Sens., 2022)

Optimizing NOTEARS Objectives via Topological Swaps. - Chang Deng; Kevin Bello; Bryon Aragam; Pradeep Kumar Ravikumar (ICML, 2023)

Global Optimality in Bivariate Gradient-based DAG Learning. - Chang Deng; Kevin Bello; Pradeep Ravikumar; Bryon Aragam (NeurIPS, 2023)

Markov Equivalence and Consistency in Differentiable Structure Learning. - Chang Deng; Kevin Bello; Pradeep Ravikumar; Bryon Aragam (NeurIPS, 2024)

Likelihood-based Differentiable Structure Learning. - Chang Deng; Kevin Bello; Pradeep Ravikumar; Bryon Aragam (CoRR, 2024)

High-dimensional sparse single-index regression via Hilbert-Schmidt independence criterion. - Xin Chen; Chang Deng; Shuaida He; Runxiong Wu; Jia Zhang (Stat. Comput., 2024)

Low-AoI data collection for multi-UAVs-UGVs assisted large-scale IoT systems based on workload balancing. - Chang Deng; Xiuwen Fu; Claudio Savaglio; Giancarlo Fortino (Ad Hoc Networks, 2025)

Low-AoI data collection in integrated UAV-UGV-assisted IoT systems based on deep reinforcement learning. - Xiuwen Fu; Chang Deng; Antonio Guerrieri (Comput. Networks, 2025)