Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks S Luan, M Zhao, XW Chang, D Precup Conference on Neural Information Processing Systems (NeurIPS), 10943-10953, 2019 | 181 | 2019 |
Revisiting heterophily for graph neural networks S Luan, C Hua, Q Lu, J Zhu, M Zhao, S Zhang, XW Chang, D Precup Advances in neural information processing systems 35, 1362-1375, 2022 | 117 | 2022 |
Is heterophily a real nightmare for graph neural networks to do node classification? S Luan, C Hua, Q Lu, J Zhu, M Zhao, S Zhang, XW Chang, D Precup arXiv preprint arXiv:2109.05641, 2021 | 102 | 2021 |
A many-objective evolutionary algorithm with two interacting processes: Cascade clustering and reference point incremental learning H Ge, M Zhao, L Sun, Z Wang, G Tan, Q Zhang, CLP Chen IEEE Transactions on Evolutionary Computation (TEVC), 2018 | 68 | 2018 |
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning M Zhao, Z Liu, S Luan, S Zhang, D Precup, Y Bengio Conference on Neural Information Processing Systems (NeurIPS), 2021 | 36 | 2021 |
Complete the missing half: Augmenting aggregation filtering with diversification for graph convolutional networks S Luan, M Zhao, C Hua, XW Chang, D Precup arXiv preprint arXiv:2008.08844, 2020 | 34 | 2020 |
Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation H Ge, W Sun, M Zhao, Y Yao IEEE Access 7, 12, 2019 | 22 | 2019 |
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style H Ge, Z Yan, K Zhang, M Zhao, L Sun International Conference on Computer Vision (ICCV), 2019 | 21 | 2019 |
Bi-space interactive cooperative coevolutionary algorithm for large scale black-box optimization H Ge, M Zhao, Y Hou, Z Kai, L Sun, G Tan, Q Zhang, CLP Chen Applied Soft Computing 97, 106798, 2020 | 19 | 2020 |
Training matters: Unlocking Potentials of Deeper Graph Convolutional Neural networks S Luan, M Zhao, XW Chang, D Precup Complex Networks, 2023 | 16 | 2023 |
Exploration-driven representation learning in reinforcement learning A Erraqabi, M Zhao, MC Machado, Y Bengio, S Sukhbaatar, L Denoyer, ... ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021 | 9 | 2021 |
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation M Zhao, I Porada, S Luan, X Chang, D Precup International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020 | 8 | 2020 |
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL A Erraqabi, MC Machado, M Zhao, S Sukhbaatar, A Lazaric, D Ludovic, ... Uncertainty in Artificial Intelligence, 641-651, 2022 | 6 | 2022 |
A Two-Engine Interaction Driven Many-Objective Evolutionary Algorithm with Feasibility-Aware Adaptation H Ge, M Zhao, K Zhang, Y Hou Applied Soft Computing 82, 16, 2019 | 5 | 2019 |
A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data H Ge, K Sun, L Sun, M Zhao, C Wu IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3, 2018 | 5 | 2018 |
A many-objective evolutionary algorithm with fast clustering and reference point redistribution M Zhao, H Ge, H Han, L Sun 2018 IEEE Congress on Evolutionary Computation (CEC), 1-6, 2018 | 5 | 2018 |
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation H Ge, W Sun, M Zhao, K Zhang, L Sun, C Yu International Joint Conference on Neural Networks (IJCNN), 2019 | 4 | 2019 |
Clothes-Changing Person Re-Identification via Universal Framework with Association and Forgetting Learning Y Liu, H Ge, Z Wang, Y Hou, M Zhao IEEE Transactions on Multimedia, 2023 | 3 | 2023 |
Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification Y Liu, H Ge, Z Wang, Y Hou, M Zhao IEEE Transactions on Multimedia, 2023 | 3 | 2023 |
Complete the missing half: Augmenting aggregation filtering with diversification for graph convolutional neural networks S Luan, M Zhao, C Hua, XW Chang, D Precup arXiv preprint arXiv:2212.10822, 2022 | 3 | 2022 |