What can * mean besides equal contribution?
Please refer to my Google Scholar for a more compact list.
Papers
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
Sitao Luan*, Mingde Zhao*, Xiao-Wen Chang, Doina Precup @ Conference on Neural Information Processing Systems (NeurIPS), 2020, under review.
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification forGraph Convolutional Networks
Sitao Luan*, Mingde Zhao*, Chenqing Hua, Xiao-Wen Chang, Doina Precup @ Conference on Neural Information Processing Systems (NeurIPS), 2020, under review.
TWO-STAGE AUTOMATIC IMAGE ANNOTATION BASED ON LATENT SEMANTIC SCENE CLASSIFICATION
Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun @ International Joint Conference on Neural Networks (IJCNN), 2020.
META-LEARNING STATE-BASED ELIGIBILITY TRACES FOR MORE SAMPLE-EFFICIENT POLICY EVALUATION
Mingde Zhao*, Sitao Luan*, Ian Porada*, Xiao-Wen Chang, Doina Precup @ International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020.
BREAK THE CEILING: STRONGER MULTI-SCALE DEEP GRAPH CONVOLUTIONAL NETWORKS
Sitao Luan*, Mingde Zhao*, Xiao-Wen Chang, Doina Precup @ Conference on Neural Information Processing Systems (NeurIPS), 2019.
EXPLORING OVERALL CONTEXTUAL INFORMATION FOR IMAGE CAPTIONING IN HUMAN-LIKE COGNITIVE STYLE
Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun @ International Conference on Computer Vision (ICCV), 2019.
A TWO-ENGINE INTERACTION DRIVEN MANY-OBJECTIVE EVOLUTIONARY ALGORITHM WITH FEASIBILITY-AWARE ADAPTATION
Hongwei Ge*, Mingde Zhao*, Kai Zhang, Yaqing Hou @ Applied Soft Computing, 2019.
STACKED DENOISING EXTREME LEARNING MACHINE AUTOENCODER BASED ON GRAPH EMBEDDING FOR FEATURE REPRESENTATION
Hongwei Ge, Weiting Sun, Mingde Zhao, Yao Yao @ IEEE Access, 2019.
GENERALIZABLE META-HEURISTIC BASED ON TEMPORAL ESTIMATION OF REWARDS FOR LARGE SCALE BLACKBOX OPTIMIZATION
Mingde Zhao, Hongwei Ge, Yi Lian, Kai Zhang @ ArXiv, 2019.
STRATEGY SELECTION IN COMPLEX GAME ENVIRONMENTS BASED ON TRANSFER REINFORCEMENT LEARNING
Hongwei Ge*, Mingde Zhao*, Kai Zhang, Liang Sun @ International Joint Conference on Neural Networks (IJCNN), 2019.
MULTI-GRAINED CASCADE ADABOOST EXTREME LEARNING MACHINE FOR FEATURE REPRESENTATION
Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu @ International Joint Conference on Neural Networks (IJCNN), 2019.
A SELECTIVE ENSEMBLE LEARNING FRAMEWORK FOR ECG-BASED HEARTBEAT CLASSIFICATION WITH IMBALANCED DATA
Hongwei Ge, Keyi Sun, Liang Sun, Mingde Zhao, Chunguo Wu @ International Conference on Bioinformatics and Biomedicine (BIBM), 2018.
A MANY-OBJECTIVE EVOLUTIONARY ALGORITHM WITH TWO INTERACTING PROCESSES: CASCADE CLUSTERING AND REFERENCE POINT INCREMENTAL LEARNING
Hongwei Ge*, Mingde Zhao*, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen @ IEEE Transactions on Evolutionary Computation (TEVC), 2019.
A MANY-OBJECTIVE EVOLUTIONARY ALGORITHM WITH FAST CLUSTERING AND REFERENCE POINT REDISTRIBUTION
Mingde Zhao, Hongwei Ge, Hongyan Han, Liang Sun @ IEEE Congress on Evolutionary Computation (CEC), 2018.
Software and Patents
FAST DICHOTOMIC CNN FOR HIERARCHICAL TRAFFIC SIGN IDENTIFICATION
Hongwei Ge, Mingde Zhao @ National Intellectual Property Administration of China, 2017.
PEACH FLESH SEGMENTATION USING DEEP REINFORCEMENT LEARNING
Hongwei Ge, Mingde Zhao @ National Intellectual Property Administration of China, 2017.
Thesis
META-LEARNING ELIGIBILITY TRACES FOR MORE SAMPLE EFFICIENT TEMPORAL DIFFERENCE LEARNING
Mingde Zhao @ McGill University, Master Thesis, 2020.
A TRANSFER REINFORCEMENT LEARNING MODEL BASED ON KNOWLEDGE INHERITANCE AND DECISION-MAKING ASSISTANCE
Mingde Zhao @ Dalian University of Technology, Undergraduate Thesis, 2018.