Data Management for Automotive ECUs Based on Hybrid RAM-NVM Main Memory. - Junhuan Yang; Jinyu Zhan; Yiming Zhang 007; Wei Jiang 016; Lin Li 051; Li Zhu; Xuefei Tang (ICESS, 2016)

Dynamic Memory Management for Hybrid DRAM-NVM Main Memory Systems. - Yiming Zhang 007; Jinyu Zhan; Junhuan Yang; Wei Jiang 016; Lin Li 051; Li Zhu; Xuefei Tang (ICESS, 2016)

Fault Tolerant Algorithm for NVM to Reuse the Error Blocks. - Li Zhu; Jinyu Zhan; Sihao Chen; Yiming Zhang 007; Junhuan Yang; Wei Jiang 016; Lin Li 051 (ICESS, 2016)

Energy-aware page replacement for NVM based hybrid main memory system. - Yiming Zhang 007; Jinyu Zhan; Junhuan Yang; Wei Jiang 016; Lin Li 051; Yixin Li (RTCSA, 2017)

Dynamic data management for automotive ECUs with hybrid RAM-NVM memory: work-in-progress. - Jinyu Zhan; Junhuan Yang; Wei Jiang 016; Yixin Li (CODES+ISSS, 2018)

Energy-aware page replacement and consistency guarantee for hybrid NVM-DRAM memory systems. - Jinyu Zhan; Yiming Zhang 007; Wei Jiang 016; Junhuan Yang; Lin Li 051; Yixin Li (J. Syst. Archit., 2018)

Vehicle data management with specific wear-levelling and fault tolerance for hybrid DRAM-NVM memory. - Jinyu Zhan; Junhuan Yang; Wei Jiang 016; Yufang Sun; Yixin Li (J. Syst. Archit., 2019)

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). - Zhiding Liang; Zhepeng Wang 001; Junhuan Yang; Lei Yang 018; Yiyu Shi 001; Weiwen Jiang (ICCAD, 2021)

FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. - Daniel Manu; Yi Sheng; Junhuan Yang; Jieren Deng; Tong Geng; Ang Li 006; Caiwen Ding; Weiwen Jiang; Lei Yang 018 (ICCAD, 2021)

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). - Hongwu Peng; Shiyang Chen 004; Zhepeng Wang 001; Junhuan Yang; Scott A. Weitze; Tong Geng; Ang Li 006; Jinbo Bi; Minghu Song; Weiwen Jiang; Hang Liu 001; Caiwen Ding (ICCAD, 2021)

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. - Zhiding Liang; Zhepeng Wang 001; Junhuan Yang; Lei Yang 018; Jinjun Xiong; Yiyu Shi 001; Weiwen Jiang (CoRR, 2021)

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. - Hongwu Peng; Shiyang Chen 004; Zhepeng Wang 001; Junhuan Yang; Scott A. Weitze; Tong Geng; Ang Li 006; Jinbo Bi; Minghu Song; Weiwen Jiang; Hang Liu 001; Caiwen Ding (CoRR, 2021)

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. - Bingbing Li; Hongwu Peng; Rajat Sainju; Junhuan Yang; Lei Yang 018; Yueying Liang; Weiwen Jiang; Binghui Wang; Hang Liu 001; Caiwen Ding (CoRR, 2021)

The larger the fairer?: small neural networks can achieve fairness for edge devices. - Yi Sheng; Junhuan Yang; Yawen Wu; Kevin Mao; Yiyu Shi 001; Jingtong Hu; Weiwen Jiang; Lei Yang 018 (DAC, 2022)

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Venkat Kalyan Reddy Yasa; Yi Sheng; Dayane Reis; Xun Jiao; Weiwen Jiang; Lei Yang 018 (ISVLSI, 2022)

Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Yi Sheng; Sizhe Zhang; Ruixuan Wang; Kenneth W. Foreman; Mikell Paige; Xun Jiao; Weiwen Jiang; Lei Yang 018 (CoRR, 2022)

Toward Fair and Efficient Hyperdimensional Computing. - Yi Sheng; Junhuan Yang; Weiwen Jiang; Lei Yang 018 (ASP-DAC, 2023)

Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. - Yi Sheng; Junhuan Yang; Lei Yang 018; Yiyu Shi 001; Jingtong Hu; Weiwen Jiang (DAC, 2023)

On-Device Unsupervised Image Segmentation. - Junhuan Yang; Yi Sheng; Yuzhou Zhang; Weiwen Jiang; Lei Yang 018 (DAC, 2023)

Hardware/Software Coexploration for Hyperdimensional Computing on Network-on-Chip Architecture. - Junhuan Yang; Lei Yang 018 (IEEE Des. Test, 2023)

Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems. - Yi Sheng; Junhuan Yang; Hanchen Wang 003; Yinan Feng; Yinpeng Chen; Xiaolong Guo; Youzuo Lin; Weiwen Jiang; Lei Yang 018 (CODES+ISSS, 2024)

EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices. - Junhuan Yang; Hanchen Wang 003; Yi Sheng; Youzuo Lin; Lei Yang 018 (DAC, 2024)

Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook. - Yi Sheng; Junhuan Yang; Youzuo Lin; Weiwen Jiang; Lei Yang 018 (ACM Great Lakes Symposium on VLSI, 2024)

Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography. - Junhuan Yang; Yi Sheng; Yuzhou Zhang; Hanchen Wang 003; Youzuo Lin; Lei Yang 018 (ACM Great Lakes Symposium on VLSI, 2024)

APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. - Yi Sheng; Hanchen Wang 003; Yipei Liu; Junhuan Yang; Weiwen Jiang; Youzuo Lin; Lei Yang 018 (MICCAI (7), 2024)

Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. - Yi Sheng; Junhuan Yang; Jinyang Li; James Alaina; Xiaowei Xu 004; Yiyu Shi 001; Jingtong Hu; Weiwen Jiang; Lei Yang 018 (MICCAI (10), 2024)

A Physics-guided Generative AI Toolkit for Geophysical Monitoring. - Junhuan Yang; Hanchen Wang 003; Yi Sheng; Youzuo Lin; Lei Yang 018 (CoRR, 2024)

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset. - Junhuan Yang; Yuzhou Zhang; Yi Sheng; Youzuo Lin; Lei Yang 018 (AAAI, 2025)