Weiwen Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 138

Top Venues

Publications

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 (2024)
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 (2024)
Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud. CoRR (2024)
Yi Sheng, Junhuan Yang, Youzuo Lin, Weiwen Jiang, Lei Yang
Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook. ACM Great Lakes Symposium on VLSI (2024)
Shengjie Xu, Clara Hobbs, Yukai Song, Bineet Ghosh, Sharmin Aktar, Lei Yang, Yi Sheng, Weiwen Jiang, Jingtong Hu, Parasara Sridhar Duggirala, Samarjit Chakraborty
Poster Abstract: Neural Architecture Sizing for Autonomous Systems. ICCPS (2024)
Jinyang Li, Ang Li, Weiwen Jiang
QUAPPROX: A Framework for Benchmarking the Approximability of Variational Quantum Circuit. ICASSP (2024)
Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan
Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices. QCE (2023)
Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang
Toward Fair and Efficient Hyperdimensional Computing. ASP-DAC (2023)
Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang
Carbon Emissions of Quantum Circuit Simulation: More than You Would Think. IGSC (2023)
Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. QCE (2023)
Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. DAC (2023)
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)
Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang
On-Device Unsupervised Image Segmentation. DAC (2023)
Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang
On-Device Unsupervised Image Segmentation. CoRR (2023)
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
: A isualization pproah for Noie Awarenss in Quatum Computing. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Zhirui Hu, Robert Wolle, Mingzhen Tian, Qiang Guan, Travis S. Humble, Weiwen Jiang
Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration. QCE (2023)
Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. CoRR (2023)
Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan
VENUS: A Geometrical Representation for Quantum State Visualization. CoRR (2023)
Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. CoRR (2023)
Qing Lu, Weiwen Jiang, Xiaowei Xu, Jingtong Hu, Yiyu Shi
Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space. ASP-DAC (2023)
Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices. CoRR (2023)
Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang
: A Geometrical Representation for Quantum State Visualization. Comput. Graph. Forum 42 (3) (2023)
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 (2023)
Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. QCE (2023)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC (2022)
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
Towards Real-Time Temporal Graph Learning. ICCD (2022)
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
Towards Sparsification of Graph Neural Networks. CoRR (2022)
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. 21 (5) (2022)
Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. ICCD (2022)
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing. CoRR (2022)
Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang
Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices. J. Imaging 8 (12) (2022)
Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. ASP-DAC (2022)
Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus. CoRR (2022)
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 (2022)
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Orner Khan, Caiwen Ding
Towards Sparsification of Graph Neural Networks. ICCD (2022)
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. ISVLSI (2022)
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)
Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR (2022)
Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
Quantum Neural Network Compression. ICCAD (2022)
Qing Lu, Weiwen Jiang, Meng Jiang, Jingtong Hu, Yiyu Shi
Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs. ISVLSI (2022)
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR (2022)
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
Towards Real-Time Temporal Graph Learning. CoRR (2022)
Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi
Variational Quantum Pulse Learning. QCE (2022)
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD (2022)
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. CoRR (2022)
Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD (2022)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR (2022)
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. IPCCC (2022)
Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR (2022)
Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
Quantum Neural Network Compression. CoRR (2022)
Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. SIGMETRICS (Abstracts) (2022)
Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. IEEE Trans. Computers 70 (4) (2021)
Xianzhang Chen, Edwin H.-M. Sha, Xinxin Wang, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge
Contour: A Process Variation Aware Wear-Leveling Mechanism for Inodes of Persistent Memory File Systems. IEEE Trans. Computers 70 (7) (2021)
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)
Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). ICCAD (2021)
Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. CoRR (2021)
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. CoRR (2021)
Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. CoRR (2021)
Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Hailiang Dong, Xianzhang Chen
On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. DAC (2021)
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 (Special Session Paper). ICCAD (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR (2021)
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV (2021)
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 (2021)
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. CoRR (2021)
Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi
A mining pool solution for novel proof-of-neural-architecture consensus. IEEE ICBC (2021)
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 (2021)
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED (2021)
Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED (2021)
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). ICCAD (2021)
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. IJCAI (2021)
Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. Proc. ACM Meas. Anal. Comput. Syst. 5 (3) (2021)
Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. CoRR (2021)
Song Bian, Weiwen Jiang, Takashi Sato
Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. DAC (2021)
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
When Machine Learning Meets Quantum Computers: A Case Study. ASP-DAC (2021)
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 (2021)
Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato
BUNET: Blind Medical Image Segmentation Based on Secure UNET. MICCAI (2) (2020)
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits. CoRR (2020)
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC (2020)
Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato
NASS: Optimizing Secure Inference via Neural Architecture Search. CoRR (2020)
Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start. CoRR (2020)
Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation. CoRR (2020)
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
DNA: Differentiable Network-Accelerator Co-Search. CoRR (2020)
Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. CoRR (2020)
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. CoRR (2020)
Xinyi Zhang, Weiwen Jiang, Jingtong Hu
Achieving Full Parallelism in LSTM via a Unified Accelerator Design. ICCD (2020)
Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR (2020)
Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo
MS-NAS: Multi-scale Neural Architecture Search for Medical Image Segmentation. MICCAI (1) (2020)
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
When Machine Learning Meets Quantum Computers: A Case Study. CoRR (2020)
Zhulin Ma, Edwin H.-M. Sha, Qingfeng Zhuge, Weiwen Jiang, Runyu Zhang, Shouzhen Gu
Towards the design of efficient hash-based indexing scheme for growing databases on non-volatile memory. Future Gener. Comput. Syst. 105 (2020)
Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato
BUNET: Blind Medical Image Segmentation Based on Secure UNET. CoRR (2020)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR (2020)
Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. ICCAD (2020)
Lei Yang, Weiwen Jiang, Weichen Liu, Edwin H.-M. Sha, Yiyu Shi, Jingtong Hu
Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence. ASP-DAC (2020)
Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Sakyasingha Dasgupta, Yiyu Shi, Jingtong Hu
Hardware/Software Co-Exploration of Neural Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato
NASS: Optimizing Secure Inference via Neural Architecture Search. ECAI (2020)
Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. CoRR (2019)
Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Xianzhang Chen, Jingtong Hu
On the Design of Time-Constrained and Buffer-Optimal Self-Timed Pipelines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (8) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Weiwen Jiang