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Junhuan Yang
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2020 – today
- 2024
- [c18]Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang:
EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices. DAC 2024: 322:1-322:6 - [c17]Yi Sheng
, Junhuan Yang
Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook. ACM Great Lakes Symposium on VLSI 2024: 748-753 - [c16]Junhuan Yang
Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography. ACM Great Lakes Symposium on VLSI 2024: 754-759 - [c15]Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang:
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. MICCAI (7) 2024: 99-108 - [c14]Yi Sheng, Junhuan Yang, Jinyang Li, James Alaina, Xiaowei Xu, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. MICCAI (10) 2024: 153-163 - [i10]Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang:
A Physics-guided Generative AI Toolkit for Geophysical Monitoring. CoRR abs/2401.03131 (2024) - [i9]Yi Sheng, Junhuan Yang, Jinyang Li, James Alaina, Xiaowei Xu, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. CoRR abs/2407.13896 (2024) - [i8]Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang:
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. CoRR abs/2407.14564 (2024) - 2023
- [j3]Junhuan Yang
Hardware/Software Coexploration for Hyperdimensional Computing on Network-on-Chip Architecture. IEEE Des. Test 40(6): 163-174 (2023) - [c13]Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang:
Toward Fair and Efficient Hyperdimensional Computing. ASP-DAC 2023: 612-617 - [c12]Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang:
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. DAC 2023: 1-6 - [c11]Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang:
On-Device Unsupervised Image Segmentation. DAC 2023: 1-6 - [i7]Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang:
On-Device Unsupervised Image Segmentation. CoRR abs/2303.12753 (2023) - [i6]Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang:
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. CoRR abs/2308.13730 (2023) - 2022
- [c10]Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The larger the fairer?: small neural networks can achieve fairness for edge devices. DAC 2022: 163-168 - [c9]Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. ISVLSI 2022: 352-357 - [i5]Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang:
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR abs/2202.05827 (2022) - [i4]Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices. CoRR abs/2202.11317 (2022) - 2021
- [c8]Zhiding Liang
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). ICCAD 2021: 1-7 - [c7]Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang:
FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD 2021: 1-7 - [c6]Hongwu Peng
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 2021: 1-7 - [i3]Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang:
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. CoRR abs/2109.03430 (2021) - [i2]Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR abs/2109.06355 (2021) - [i1]Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding:
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. CoRR abs/2110.15733 (2021)
2010 – 2019
- 2019
- [j2]Jinyu Zhan, Junhuan Yang, Wei Jiang, Yufang Sun, Yixin Li:
Vehicle data management with specific wear-levelling and fault tolerance for hybrid DRAM-NVM memory. J. Syst. Archit. 98: 259-270 (2019) - 2018
- [j1]Jinyu Zhan, Yiming Zhang
Energy-aware page replacement and consistency guarantee for hybrid NVM-DRAM memory systems. J. Syst. Archit. 89: 60-72 (2018) - [c5]Jinyu Zhan, Junhuan Yang, Wei Jiang, Yixin Li:
Dynamic data management for automotive ECUs with hybrid RAM-NVM memory: work-in-progress. CODES+ISSS 2018: 5 - 2017
- [c4]Yiming Zhang
Energy-aware page replacement for NVM based hybrid main memory system. RTCSA 2017: 1-6 - 2016
- [c3]Li Zhu, Jinyu Zhan, Sihao Chen, Yiming Zhang
Fault Tolerant Algorithm for NVM to Reuse the Error Blocks. ICESS 2016: 54-59 - [c2]Junhuan Yang, Jinyu Zhan, Yiming Zhang
Data Management for Automotive ECUs Based on Hybrid RAM-NVM Main Memory. ICESS 2016: 74-79 - [c1]Yiming Zhang
Dynamic Memory Management for Hybrid DRAM-NVM Main Memory Systems. ICESS 2016: 148-153
Coauthor Index
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last updated on 2024-11-13 23:44 CET by the dblp team
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