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2020 – today
- 2023
[b1]Jinwei Xing:
Understanding the Brain using Machine Learning and Enhancing Machine Learning with Neuroscience. University of California, Irvine, USA, 2023- [j3]Jeffrey D. Kopsick
, Carolina Tecuatl, Keivan Moradi, Sarojini M. Attili, Hirak J. Kashyap, Jinwei Xing, Kexin Chen, Jeffrey L. Krichmar, Giorgio A. Ascoli:
Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus. Cogn. Comput. 15(4): 1190-1210 (2023) - [j2]Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161: 228-241 (2023) - 2022
- [c7]Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci:
Uncertainty Aware Model Integration on Reinforcement Learning. IJCNN 2022: 1-7 - [c6]Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. IJCNN 2022: 1-10 - [c5]Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar:
Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. SAB 2022: 115-126 - [i3]Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR abs/2205.08685 (2022) - 2021
- [c4]Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI 2021: 10452-10459 - [i2]Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR abs/2102.05714 (2021) - 2020
- [j1]Kexin Chen, Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar, Kenneth Michael Stewart, Jinwei Xing, Xinyun Zou:
Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers Neurorobotics 14: 570308 (2020) - [c3]Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar:
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [i1]Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar:
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. CoRR abs/1909.06533 (2019) - 2018
- [c2]Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar:
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters. IJCNN 2018: 1-8 - 2017
- [c1]Yang Xu, Huajin Tang, Jinwei Xing, Hongying Li:
Spike trains encoding and threshold rescaling method for deep spiking neural networks. SSCI 2017: 1-6
Coauthor Index
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