Peng Li
University of California, Santa Barbara
H-index: 44
North America-United States
Top articles of Peng Li
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
2024/2/22
Pareto Optimization of Analog circuits using Reinforcement Learning
ACM Transactions on Design Automation of Electronic Systems
2024
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
arXiv preprint arXiv:2308.13011
2023/8/24
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
arXiv preprint arXiv:2308.10373
2023/8/20
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution
Proceedings of the AAAI Conference on Artificial Intelligence
2023/6/26
Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex
Physical Review Accelerators and Beams
2023/4/21
Contrastive Learning with Consistent Representations
arXiv preprint arXiv:2302.01541
2023/2/3
Domain-Specific Machine Learning Based Minimum Operating Voltage Prediction Using On-Chip Monitor Data
2023/10/7
Recognizing Wafer Map Patterns Using Semi-Supervised Contrastive Learning with Optimized Latent Representation Learning and Data Augmentation
2023/10/7
UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities
arXiv preprint arXiv:2310.01441
2023/9/30
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
arXiv preprint arXiv:2212.09440
2022/12/1
A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation
arXiv preprint arXiv:2205.07292
2022/5/15
Parallel Time Batching: Systolic-Array Acceleration of Sparse Spiking Neural Computation
2022/4/2
SaARSP: An Architecture for Systolic-Array Acceleration of Recurrent Spiking Neural Networks
ACM Journal on Emerging Technologies in Computing Systems (JETC)
2022
H2learn: High-efficiency learning accelerator for high-accuracy spiking neural networks
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
2021/12/24
Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits
2021/12/5
Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge
2021/12/5
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks
arXiv preprint arXiv:2111.13188
2021/11/14
Comprehensive snn compression using admm optimization and activity regularization
IEEE Transactions on Neural Networks and Learning Systems
2021/11/13
Semi-supervised Wafer Map Pattern Recognition using Domain-Specific Data Augmentation and Contrastive Learning
2021/10/10
