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2020 – today
- 2024
[c77]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: 748-753- [c76]Jinyang Li, Ang Li, Weiwen Jiang:
QUAPPROX: A Framework for Benchmarking the Approximability of Variational Quantum Circuit. ICASSP 2024: 13376-13380 - [c75]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: 289-290 - [c74]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. ISVLSI 2024: 403-408 - [c73]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 - [c72]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 - [c71]Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang:
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. MICCAI (2) 2024: 378-388 - [i47]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 abs/2404.13475 (2024) - [i46]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) - [i45]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) - [i44]Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K. Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S. Humble:
Dependable Classical-Quantum Computer Systems Engineering. CoRR abs/2408.10484 (2024) - [i43]Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang:
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. CoRR abs/2409.13853 (2024) - 2023
- [j29]Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang:
VENUS: A Geometrical Representation for Quantum State Visualization. Comput. Graph. Forum 42(3): 247-258 (2023) - [j28]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): 462-472 (2023) - [c70]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: 378-383 - [c69]Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang:
Toward Fair and Efficient Hyperdimensional Computing. ASP-DAC 2023: 612-617 - [c68]Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang:
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. DAC 2023: 1-6 - [c67]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 - [c66]Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang:
On-Device Unsupervised Image Segmentation. DAC 2023: 1-6 - [c65]Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang:
Carbon Emissions of Quantum Circuit Simulation: More than You Would Think. IGSC 2023: 11-13 - [c64]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: 272-282 - [c63]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: 468-474 - [c62]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: 848-858 - [c61]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: 1089-1097 - [i42]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 abs/2303.08366 (2023) - [i41]Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang:
On-Device Unsupervised Image Segmentation. CoRR abs/2303.12753 (2023) - [i40]Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang:
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. CoRR abs/2304.11511 (2023) - [i39]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 abs/2307.09771 (2023) - [i38]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) - [i37]Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin:
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices. CoRR abs/2310.09667 (2023) - 2022
- [j27]Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang:
Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices. J. Imaging 8(12): 312 (2022) - [j26]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): 65:1-65:22 (2022) - [c60]Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi:
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. ASP-DAC 2022: 128-133 - [c59]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 - [c58]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: 1135-1140 - [c57]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: 133:1-133:9 - [c56]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: 136:1-136:9 - [c55]Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. ICCAD 2022: 140:1-140:9 - [c54]Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan:
Towards Real-Time Temporal Graph Learning. ICCD 2022: 263-271 - [c53]Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding:
Towards Sparsification of Graph Neural Networks. ICCD 2022: 272-279 - [c52]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: 290-297 - [c51]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: 283-289 - [c50]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: 352-357 - [c49]Qing Lu, Weiwen Jiang, Meng Jiang, Jingtong Hu, Yiyu Shi:
Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs. ISVLSI 2022: 358-362 - [c48]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: 556-565 - [c47]Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren:
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. SIGMETRICS (Abstracts) 2022: 55-56 - [i36]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) - [i35]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) - [i34]Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi:
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus. CoRR abs/2206.07089 (2022) - [i33]Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. CoRR abs/2207.01578 (2022) - [i32]Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan:
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing. CoRR abs/2207.14135 (2022) - [i31]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 abs/2208.03646 (2022) - [i30]Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding:
Towards Sparsification of Graph Neural Networks. CoRR abs/2209.04766 (2022) - [i29]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 abs/2209.11329 (2022) - [i28]Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan:
Towards Real-Time Temporal Graph Learning. CoRR abs/2210.04114 (2022) - [i27]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 abs/2210.16724 (2022) - [i26]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 abs/2212.05122 (2022) - 2021
- [j25]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): 34:1-34:34 (2021) - [j24]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): 595-605 (2021) - [j23]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): 1034-1045 (2021) - [j22]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): 24-34 (2021) - [c46]Weiwen Jiang, Jinjun Xiong, Yiyu Shi:
When Machine Learning Meets Quantum Computers: A Case Study. ASP-DAC 2021: 593-598 - [c45]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: 1003-1008 - [c44]Song Bian, Weiwen Jiang, Takashi Sato:
Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. DAC 2021: 1347-1350 - [c43]Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi:
A mining pool solution for novel proof-of-neural-architecture consensus. IEEE ICBC 2021: 1-3 - [c42]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: 1-7 - [c41]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 - [c40]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: 1-7 - [c39]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: 1-7 - [c38]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: 5231-5240 - [c37]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: 5000-5003 - [c36]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: 1-6 - [c35]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: 142-148 - [c34]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: 493-496 - [i25]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 abs/2102.06336 (2021) - [i24]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 abs/2106.00526 (2021) - [i23]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) - [i22]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 abs/2109.03806 (2021) - [i21]Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi:
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. CoRR abs/2109.05691 (2021) - [i20]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) - [i19]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) - [i18]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 abs/2111.00153 (2021) - [i17]Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren:
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. CoRR abs/2111.01203 (2021) - 2020
- [j21]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: 1-12 (2020) - [j20]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): 4154-4165 (2020) - [j19]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): 4805-4815 (2020) - [c33]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: 85-90 - [c32]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: 1-6 - [c31]Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato:
NASS: Optimizing Secure Inference via Neural Architecture Search. ECAI 2020: 1746-1753 - [c30]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: 40:1-40:8 - [c29]Xinyi Zhang, Weiwen Jiang, Jingtong Hu:
Achieving Full Parallelism in LSTM via a Unified Accelerator Design. ICCD 2020: 469-477 - [c28]Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo:
MS-NAS: Multi-scale Neural Architecture Search for Medical Image Segmentation. MICCAI (1) 2020: 388-397 - [c27]Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato:
BUNET: Blind Medical Image Segmentation Based on Secure UNET. MICCAI (2) 2020: 612-622 - [i16]Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato:
NASS: Optimizing Secure Inference via Neural Architecture Search. CoRR abs/2001.11854 (2020) - [i15]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 abs/2002.04116 (2020) - [i14]Weiwen Jiang, Jinjun Xiong, Yiyu Shi:
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits. CoRR abs/2006.14815 (2020) - [i13]Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo:
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation. CoRR abs/2007.06151 (2020) - [i12]Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato:
BUNET: Blind Medical Image Segmentation Based on Secure UNET. CoRR abs/2007.06855 (2020) - [i11]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 abs/2007.09087 (2020) - [i10]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 abs/2008.07071 (2020) - [i9]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 abs/2009.06823 (2020) - [i8]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 abs/2009.07460 (2020) - [i7]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DNA: Differentiable Network-Accelerator Co-Search. CoRR abs/2010.14778 (2020) - [i6]Weiwen Jiang, Jinjun Xiong, Yiyu Shi:
When Machine Learning Meets Quantum Computers: A Case Study. CoRR abs/2012.10360 (2020)
2010 – 2019
- 2019
- [j18]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): 1515-1528 (2019) - [j17]Weiwen Jiang, Edwin H.-M. Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. ACM Trans. Embed. Comput. Syst. 18(5s): 67:1-67:23 (2019) - [c26]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. DAC 2019: 5 - [c25]Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Yiyu Shi, Jingtong Hu:
XFER: A Novel Design to Achieve Super-Linear Performance on Multiple FPGAs for Real-Time AI. FPGA 2019: 305 - [c24]Xinyi Zhang, Weiwen Jiang, Yiyu Shi, Jingtong Hu:
When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design. ISVLSI 2019: 25-30 - [i5]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 abs/1901.11211 (2019) - [i4]Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Yiyu Shi, Jingtong Hu:
Hardware/Software Co-Exploration of Neural Architectures. CoRR abs/1907.04650 (2019) - [i3]Weiwen Jiang, Edwin Hsing-Mean Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. CoRR abs/1907.08985 (2019) - [i2]Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
On Neural Architecture Search for Resource-Constrained Hardware Platforms. CoRR abs/1911.00105 (2019) - [i1]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. CoRR abs/1911.00139 (2019) - 2018
- [j16]Weiwen Jiang, Edwin Hsing-Mean Sha, Xianzhang Chen, Lin Wu, Qingfeng Zhuge:
Synthesizing distributed pipelining systems with timing constraints via optimal functional unit assignment and communication selection. J. Comput. Sci. 26: 332-343 (2018) - [j15]Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Ting Wu, Weiwen Jiang, Xiaoping Zeng, Lin Wu:
UMFS: An efficient user-space file system for non-volatile memory. J. Syst. Archit. 89: 18-29 (2018) - [j14]Edwin Hsing-Mean Sha, Weiwen Jiang, Hailiang Dong, Zhulin Ma, Runyu Zhang, Xianzhang Chen, Qingfeng Zhuge:
Towards the Design of Efficient and Consistent Index Structure with Minimal Write Activities for Non-Volatile Memory. IEEE Trans. Computers 67(3): 432-448 (2018) - [j13]Weichen Liu, Lei Yang, Weiwen Jiang, Liang Feng, Nan Guan, Wei Zhang, Nikil D. Dutt:
Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip. IEEE Trans. Computers 67(12): 1818-1834 (2018) - [j12]Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Xianzhang Chen, Jingtong Hu:
Heterogeneous FPGA-Based Cost-Optimal Design for Timing-Constrained CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2542-2554 (2018) - [c23]Xianzhang Chen, Edwin Hsing-Mean Sha, Yuansong Zeng, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge:
Efficient wear leveling for inodes of file systems on persistent memories. DATE 2018: 1524-1527 - [c22]Edwin Hsing-Mean Sha, Hailiang Dong, Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang:
On the Design of Reliable Heterogeneous Systems via Checkpoint Placement and Core Assignment. ACM Great Lakes Symposium on VLSI 2018: 475-478 - 2017
- [j11]Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lin Wu:
Efficient assignment algorithms to minimize operation cost for supply chain networks in agile manufacturing. Comput. Ind. Eng. 108: 225-239 (2017) - [j10]Lei Yang, Weichen Liu, Weiwen Jiang, Chao Chen, Mengquan Li, Peng Chen, Edwin Hsing-Mean Sha:
Hardware-software collaboration for dark silicon heterogeneous many-core systems. Future Gener. Comput. Syst. 68: 234-247 (2017) - [j9]Xianzhang Chen, Edwin Hsing-Mean Sha, Weiwen Jiang, Chaoshu Yang, Ting Wu, Qingfeng Zhuge:
Refinery swap: An efficient swap mechanism for hybrid DRAM-NVM systems. Future Gener. Comput. Syst. 77: 52-64 (2017) - [j8]Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Peng Chen, Edwin Hsing-Mean Sha:
FoToNoC: A Folded Torus-Like Network-on-Chip Based Many-Core Systems-on-Chip in the Dark Silicon Era. IEEE Trans. Parallel Distributed Syst. 28(7): 1905-1918 (2017) - [j7]Weiwen Jiang, Edwin Hsing-Mean Sha, Xianzhang Chen, Lei Yang, Lei Zhou, Qingfeng Zhuge:
Optimal Functional-Unit Assignment for Heterogeneous Systems Under Timing Constraint. IEEE Trans. Parallel Distributed Syst. 28(9): 2567-2580 (2017) - [c21]Weichen Liu, Lei Yang, Weiwen Jiang, Nan Guan:
Communication optimization for thermal reliable many-core systems: work-in-progress. CODES+ISSS 2017: 11:1-11:2 - [c20]Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hailiang Dong, Xianzhang Chen:
Optimal functional unit assignment and voltage selection for pipelined MPSoC with guaranteed probability on time performance. LCTES 2017: 41-50 - [c19]Xianzhang Chen, Edwin Hsing-Mean Sha, Ahmad Abdullah, Qingfeng Zhuge, Lin Wu, Chaoshu Yang, Weiwen Jiang:
UDORN: A design framework of persistent in-memory key-value database for NVM. NVMSA 2017: 1-6 - [c18]Hailiang Dong, Edwin Hsing-Mean Sha, Weiwen Jiang, Xianzhang Chen, Runyu Zhang, Qingfeng Zhuge:
Towards the design of optimal range assignment for elevator groups under fluctuant traffic loads. RTCSA 2017: 1-6 - 2016
- [j6]Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Weiwen Jiang, Junxi Chen, Jun Chen, Jun Xu:
A unified framework for designing high performance in-memory and hybrid memory file systems. J. Syst. Archit. 68: 51-64 (2016) - [j5]Edwin Hsing-Mean Sha, Xianzhang Chen, Qingfeng Zhuge, Liang Shi, Weiwen Jiang:
A New Design of In-Memory File System Based on File Virtual Address Framework. IEEE Trans. Computers 65(10): 2959-2972 (2016) - [j4]Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Juan Yi, Edwin Hsing-Mean Sha:
Application Mapping and Scheduling for Network-on-Chip-Based Multiprocessor System-on-Chip With Fine-Grain Communication Optimization. IEEE Trans. Very Large Scale Integr. Syst. 24(10): 3027-3040 (2016) - [j3]Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Chun Jason Xue, Weiwen Jiang, Yuangang Wang:
Efficient Data Placement for Improving Data Access Performance on Domain-Wall Memory. IEEE Trans. Very Large Scale Integr. Syst. 24(10): 3094-3104 (2016) - [j2]Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang, Juan Yi, Edwin Hsing-Mean Sha:
Properties of Self-Timed Ring Architectures for Deadlock-Free and Consistent Configuration Reaching Maximum Throughput. J. Signal Process. Syst. 84(1): 123-137 (2016) - [c17]Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Juan Yi, Edwin Hsing-Mean Sha:
FoToNoC: A hierarchical management strategy based on folded lorus-like Network-on-Chip for dark silicon many-core systems. ASP-DAC 2016: 725-730 - [c16]Edwin Hsing-Mean Sha, Jun Chen, Xianzhang Chen, Weiwen Jiang, Qingfeng Zhuge:
The Design and Implementation of a High-Performance Hybrid Memory File System. CBD 2016: 316-321 - [c15]Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Xianzhang Chen:
Optimal functional-unit assignment and buffer placement for probabilistic pipelines. CODES+ISSS 2016: 13:1-13:10 - [c14]Xianzhang Chen, Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Junxi Chen, Jiejie Qin, Yuansong Zeng:
The design of an efficient swap mechanism for hybrid DRAM-NVM systems. EMSOFT 2016: 22:1-22:10 - [c13]Weiwen Jiang, Edwin Hsing-Mean Sha, Xianzhang Chen, Qingfeng Zhuge, Lin Wu:
Optimal Functional Assignment and Communication Selection under Timing Constraint for Self-Timed Pipelines. ICESS 2016: 87-92 - [c12]Xianzhang Chen, Edwin Hsing-Mean Sha, Zhilong Sun, Qingfeng Zhuge, Weiwen Jiang:
The Design and Implementation of an Efficient Data Consistency Mechanism for In-Memory File Systems. ICESS 2016: 170-175 - [c11]Edwin Hsing-Mean Sha, Yutong Liang, Weiwen Jiang, Xianzhang Chen, Qingfeng Zhuge:
Optimizing Data Placement of MapReduce on Ceph-Based Framework under Load-Balancing Constraint. ICPADS 2016: 585-592 - [c10]Edwin Hsing-Mean Sha, Yang Jia, Xianzhang Chen, Qingfeng Zhuge, Weiwen Jiang, Jiejie Qin:
The design and implementation of an efficient user-space in-memory file system. NVMSA 2016: 1-6 - [c9]Zhixiang Liu, Edwin Hsing-Mean Sha, Xianzhang Chen, Weiwen Jiang, Qingfeng Zhuge:
Performance Optimization for In-Memory File Systems on NUMA Machines. PDCAT 2016: 7-12 - 2015
- [c8]Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Penglin Dai, Weiwen Jiang:
Optimizing data placement for reducing shift operations on domain wall memories. DAC 2015: 139:1-139:6 - [c7]Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Lei Yang, Xianzhang Chen:
On the Design of High-Performance and Energy-Efficient Probabilistic Self-Timed Systems. HPCC/CSS/ICESS 2015: 260-265 - [c6]Lei Yang, Weichen Liu, Weiwen Jiang, Wei Zhang, Mengquan Li, Juan Yi, Duo Liu, Edwin Hsing-Mean Sha:
Traffic-Aware Application Mapping for Network-on-Chip Based Multiprocessor System-on-Chip. HPCC/CSS/ICESS 2015: 571-576 - [c5]Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang:
Prevent Deadlock and Remove Blocking for Self-Timed Systems. ICA3PP (1) 2015: 155-169 - [c4]Edwin Hsing-Mean Sha, Xianzhang Chen, Qingfeng Zhuge, Liang Shi, Weiwen Jiang:
Designing an efficient persistent in-memory file system. NVMSA 2015: 1-6 - 2014
- [c3]Juan Yi, Weichen Liu, Weiwen Jiang, Mingwen Qin, Lei Yang, Duo Liu, Chunming Xiao, Luelue Du, Edwin Hsing-Mean Sha:
An Improved Thermal Model for Static Optimization of Application Mapping and Scheduling in Multiprocessor System-on-Chip. ISVLSI 2014: 547-552 - [c2]Weiwen Jiang, Qingfeng Zhuge, Juan Yi, Lei Yang, Edwin Hsing-Mean Sha:
On self-timed ring for consistent mapping and maximum throughput. RTCSA 2014: 1-9 - [c1]Lei Yang, Weichen Liu, Weiwen Jiang, Juan Yi, Duo Liu, Qingfeng Zhuge:
Contention-aware task and communication co-scheduling for network-on-chip based Multiprocessor System-on-Chip. RTCSA 2014: 1-8 - 2013
- [j1]Penglin Dai, Qingfeng Zhuge, Xianzhang Chen, Weiwen Jiang, Edwin Hsing-Mean Sha:
Effective file data-block placement for different types of page cache on hybrid main memory architectures. Des. Autom. Embed. Syst. 17(3-4): 485-506 (2013)
Coauthor Index
Edwin H.-M. Sha
aka: Edwin Hsing-Mean Sha
aka: Edwin Hsing-Mean Sha
[c77] [c75] [c73] [c72] [c71] [i46] [i45] [c69] [c67] [c66] [i41] [i38] [j27] [c59] [c52] [c50] [i36] [i35] [j24] [j22] [c42] [c41] [i23] [i19] [j20] [j19] [c33] [c32] [i15] [i11] [j18] [j17] [c26] [c25] [i5] [i4] [i3] [i1] [j13] [j12] [c22] [j10] [j8] [j7] [c21] [j4] [j2] [c17] [c7] [c6] [c5] [c3] [c2] [c1]
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