Jinwei Xing

According to our database, Jinwei Xing authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization.

Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

Neural Networks, April, 2023

Understanding the Brain using Machine Learning and Enhancing Machine Learning with Neuroscience

Jinwei Xing

PhD thesis, 2023

Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus.

Jeffrey D. Kopsick, Carolina Tecuatl, Keivan Moradi, Sarojini M. Attili, Hirak J. Kashyap, Jinwei Xing, Kexin Chen, Jeffrey L. Krichmar, Giorgio A. Ascoli

Cogn. Comput., 2023

2022

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability.

Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

CoRR, 2022

Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning.

Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar

Proceedings of the From Animals to Animats 16, 2022

CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation.

Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the International Joint Conference on Neural Networks, 2022

Uncertainty Aware Model Integration on Reinforcement Learning.

Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation.

Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neurorobots as a Means Toward Neuroethology and Explainable AI.

Kexin Chen, Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar, Kenneth Michael Stewart, Jinwei Xing, Xinyun Zou

Frontiers Neurorobotics, 2020

Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation.

Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters.

Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Spike trains encoding and threshold rescaling method for deep spiking neural networks.

Yang Xu, Huajin Tang, Jinwei Xing, Hongying Li

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017