Publications

What can * mean besides equal contribution?

The images link you to the detailed webpages, if possible. A compact list can be found at my Google Scholar. I also marked the works I am proud of RED.

Papers

Aggregation Is not Enough: A Simple but Powerful Graph Convolutional Neural Network

Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup @ International Conference on Machine Learning (ICML), 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 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

SOOPLAT: PLATform for Single Objective Optimization

Mingde Zhao @ GitHub, 2018.

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.