Effective AER object classification using segmented probability-maximization learning in spiking neural networks Q Liu, H Ruan, D Xing, H Tang, G Pan AAAI 2020, 1308-1315, 2020 | 61 | 2020 |
Event-based Action Recognition Using Motion Information and Spiking Neural Networks Q Liu, D Xing, H Tang, D Ma, G Pan IJCAI 2021, 1743-1749, 2021 | 53 | 2021 |
Unsupervised aer object recognition based on multiscale spatio-temporal features and spiking neurons Q Liu, G Pan, H Ruan, D Xing, Q Xu, H Tang IEEE transactions on neural networks and learning systems 31 (12), 5300-5311, 2020 | 50 | 2020 |
Nonlinear modeling of neural interaction for spike prediction using the staged point-process model C Qian, X Sun, S Zhang, D Xing, H Li, X Zheng, G Pan, Y Wang Neural computation 30 (12), 3189-3226, 2018 | 15 | 2018 |
Event-based multimodal spiking neural network with attention mechanism Q Liu, D Xing, L Feng, H Tang, G Pan ICASSP 2022, 8922-8926, 2022 | 13 | 2022 |
Action recognition using hybrid feature descriptor and VLAD video encoding D Xing, X Wang, H Lu Computer Vision-ACCV 2014 Workshops: Singapore, Singapore, November 1-2 …, 2015 | 13 | 2015 |
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork D Xing, Q Liu, Q Zheng, G Pan IJCAI 2021, 472-478, 2021 | 10 | 2021 |
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources D Xing, Q Zheng, Q Liu, G Pan IJCAI 2022, 3999-4005, 2022 | 5 | 2022 |
Predicting spike trains from PMd to M1 using discrete time rescaling targeted GLM D Xing, C Qian, H Li, S Zhang, Q Zhang, Y Hao, X Zheng, Z Wu, Y Wang, ... IEEE Transactions on Cognitive and Developmental Systems 10 (2), 194-204, 2017 | 5 | 2017 |
Depth-of-field rendering with saliency-based bilateral filtering W Xue, D Xing, M Lin, J Wang, B Sheng, L Ma 2013 International Conference on Computer-Aided Design and Computer Graphics …, 2013 | 3 | 2013 |
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification D Xing, P Gu, Q Zheng, X Wang, S Liu, L Zheng, B An, G Pan ICML 2023, 38272-38285, 2023 | 2 | 2023 |
Offline RL with discrete proxy representations for generalizability in POMDPs P Gu, X Cai, D Xing, X Wang, M Zhao, B An Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility L Feng, D Xing, J Zhang, G Pan arXiv preprint arXiv:2310.05053, 2023 | | 2023 |
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning S Liu, Y Hu, R Wu, D Xing, Y Xiong, C Fan, K Kuang, Y Liu AAMAS 2023, 31-39, 2023 | | 2023 |
Object recognition method and apparatus G Pan, Q Liu, L Jiang, J Cheng, H Ruan, D Xing, H Tang, D Ma US Patent App. 17/680,668, 2022 | | 2022 |
Method for prediction of cortical spiking trains G Pan, D Xing, Q Cunle, Y Wang, Q Zhang, HAO Yaoyao, Y Wang, ... US Patent 11,238,991, 2022 | | 2022 |
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution S Liu, D Xing, P Gu, X Wang, B An, Y Liu The Twelfth International Conference on Learning Representations, 0 | | |
Holding Monotonic Improvement and Generality for Multi-Agent Proximal Policy Optimization L Feng, D Xing, J Zhang, G Pan | | |