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Yuxuan Yin
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2020 – today
- 2024
- [c6]Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li:
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. AAAI 2024: 15698-15705 - [c5]Yuxuan Yin
, Rebecca Chen
Data-Efficient Conformalized Interval Prediction of Minimum Operating Voltage Capturing Process Variations. DAC 2024: 308:1-308:6 - [c4]Yuxuan Yin, Xiaoxiao Wang, Rebecca Chen, Chen He
Reliable Interval Prediction of Minimum Operating Voltage Based on On-Chip Monitors via Conformalized Quantile Regression. DATE 2024: 1-6 - [c3]Yuxuan Yin
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models. ICCAD 2024: 81:1-81:9 - [c2]Yuxuan Yin, Yu Wang, Peng Li:
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling. ICML 2024 - [i10]Yuxuan Yin, Xiaoxiao Wang, Rebecca Chen, Chen He, Peng Li:
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression. CoRR abs/2406.18536 (2024) - [i9]Yuxuan Yin, Yu Wang, Boxun Xu, Peng Li:
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models. CoRR abs/2406.18770 (2024) - [i8]Yuxuan Yin, Rebecca Chen, Chen He, Peng Li:
Data-Efficient Prediction of Minimum Operating Voltage via Inter- and Intra-Wafer Variation Alignment. CoRR abs/2408.06254 (2024) - [i7]Boxun Xu, Hejia Geng, Yuxuan Yin, Peng Li:
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention. CoRR abs/2409.15375 (2024) - [i6]Yu Wang, Yuxuan Yin, Peng Li:
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective. CoRR abs/2409.18316 (2024) - [i5]Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Yuxuan Yin, Sung Kyu Lim, Peng Li:
Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers. CoRR abs/2412.05540 (2024) - 2023
- [c1]Yuxuan Yin, Rebecca Chen, Chen He
Domain-Specific Machine Learning Based Minimum Operating Voltage Prediction Using On-Chip Monitor Data. ITC 2023: 99-104 - [i4]Yuxuan Yin, Yu Wang, Peng Li:
High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling. CoRR abs/2305.02614 (2023) - [i3]Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana, Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li:
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. CoRR abs/2310.13110 (2023) - [i2]Boxun Xu, Hejia Geng, Yuxuan Yin, Peng Li:
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention. CoRR abs/2311.09376 (2023) - 2021
- [j1]Habiba Farrukh, Tinghan Yang, Hanwen Xu, Yuxuan Yin, He Wang, Z. Berkay Celik:
S3: Side-Channel Attack on Stylus Pencil through Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 8:1-8:25 (2021) - [i1]Habiba Farrukh, Tinghan Yang, Hanwen Xu, Yuxuan Yin, He Wang, Z. Berkay Celik:
S3: Side-Channel Attack on Stylus Pencil through Sensors. CoRR abs/2103.05840 (2021)
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