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2020 – today
- 2021
[c50]Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC 2021: 132-139- [c49]Grace Li Zhang, Bing Li, Ying Zhu, Tianchen Wang, Yiyu Shi, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks. ASP-DAC 2021: 853-858 - [c48]Tianhao Shen, Di Gao, Li Zhang, Jishen Zhao, Cheng Zhuo:
A Physical-Aware Framework for Memory Network Design Space Exploration. ASP-DAC 2021: 865-871 - [i8]Shunjie Dong, Qianqian Yang, Yu Fu, Mei Tian, Cheng Zhuo:
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection. CoRR abs/2102.11099 (2021) - 2020
- [j24]Leilei Wang
, Lu Wang, Cheng Zhuo, Pingqiang Zhou:
Early-Stage Planning of Switched-Capacitor Converters in a Heterogeneous Chip. IEEE Access 8: 85900-85911 (2020) - [j23]Wenjian Yu, Cheng Zhuo, Weikang Qian:
Introduction to special issue of 2019 China Semiconductor Technology International Conference (CSTIC) Symposium on Design and Automation of Circuits and Systems. Integr. 75: 168 (2020) - [j22]Umamaheswara Rao Tida, Cheng Zhuo, Leibo Liu, Yiyu Shi:
Dynamic Frequency Scaling Aware Opportunistic Through-Silicon-Via Inductor Utilization in Resonant Clocking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 281-293 (2020) - [j21]Cheng Zhuo, Shaoheng Luo, Houle Gan, Jiang Hu, Zhiguo Shi:
Noise-Aware DVFS for Efficient Transitions on Battery-Powered IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(7): 1498-1510 (2020) - [j20]Jianing Deng, Zhiguo Shi, Cheng Zhuo:
Energy-Efficient Real-Time UAV Object Detection on Embedded Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 3123-3127 (2020) - [j19]Di Gao, Dayane Reis, Xiaobo Sharon Hu, Cheng Zhuo:
Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5011-5024 (2020) - [c47]Jianing Deng, Li Wang, Shiliang Pu, Cheng Zhuo:
Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement. AAAI 2020: 10696-10703 - [c46]Zheyu Yan, Yiyu Shi, Wang Liao, Masanori Hashimoto, Xichuan Zhou, Cheng Zhuo:
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. ASP-DAC 2020: 163-168 - [c45]Chuliang Guo, Li Zhang, Xian Zhou, Weikang Qian, Cheng Zhuo:
A Reconfigurable Approximate Multiplier for Quantized CNN Applications. ASP-DAC 2020: 235-240 - [c44]Mengyuan Li, Xunzhao Yin, Xiaobo Sharon Hu, Cheng Zhuo:
Nonvolatile and Energy-Efficient FeFET-Based Multiplier for Energy-Harvesting Devices. ASP-DAC 2020: 562-567 - [c43]Di Gao, Cheng Zhuo:
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks. ECAI 2020: 1794-1801 - [c42]Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu:
Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI 2020: 39-44 - [c41]Chuangtao Chen, Sen Yang, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability. ICCAD 2020: 121:1-121:9 - [c40]Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Countering Variations and Thermal Effects for Accurate Optical Neural Networks. ICCAD 2020: 152:1-152:7 - [c39]Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. IJCAI 2020: 1047-1053 - [c38]Xian Zhou, Li Zhang, Chuliang Guo, Xunzhao Yin, Cheng Zhuo:
A Convolutional Neural Network Accelerator Architecture with Fine-Granular Mixed Precision Configurability. ISCAS 2020: 1-5 - [c37]Shunjie Dong, Jinlong Zhao, Maojun Zhang, Zhengxue Shi, Jianing Deng, Yiyu Shi, Mei Tian, Cheng Zhuo:
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation. MICCAI (4) 2020: 98-107 - [c36]Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo:
MS-NAS: Multi-scale Neural Architecture Search for Medical Image Segmentation. MICCAI (1) 2020: 388-397 - [c35]Yuan Cao, Tianhao Shen, Li Zhang, Xunzhao Yin, Cheng Zhuo:
An Efficient and Flexible Learning Framework for Dynamic Power and Thermal Co-Management. MLCAD 2020: 117-122 - [i7]Xunzhao Yin, Chao Li, Qingrong Huang, Li Zhang, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Kai Ni:
FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric. CoRR abs/2004.01866 (2020) - [i6]Di Gao, Cheng Zhuo:
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks. CoRR abs/2004.04631 (2020) - [i5]Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. CoRR abs/2006.10990 (2020) - [i4]Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo:
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation. CoRR abs/2007.06151 (2020) - [i3]Shunjie Dong, Jinlong Zhao, Maojun Zhang, Zhengxue Shi, Jianing Deng, Yiyu Shi, Mei Tian, Cheng Zhuo:
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation. CoRR abs/2007.06341 (2020)
2010 – 2019
- 2019
- [j18]Leilei Wang, Cheng Zhuo, Pingqiang Zhou:
Run-time demand estimation and modulation of on-chip decaps at system level for leakage power reduction in multicore chips. Integr. 65: 322-330 (2019) - [j17]Cheng Zhuo, Baixin Chen:
System-level design consideration and optimization of through-silicon-via inductor. Integr. 65: 362-369 (2019) - [j16]Dawei Li, Xiaowei Xu, Leibo Liu, Li Zhang, Cheng Zhuo, Yiyu Shi:
Optimal design of a low-power, phase-switching modulator for implantable medical applications. Integr. 69: 289-300 (2019) - [j15]Cheng Zhuo, Kassan Unda, Yiyu Shi, Wei-Kai Shih:
From Layout to System: Early Stage Power Delivery and Architecture Co-Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(7): 1291-1304 (2019) - [j14]Yaguang Li, Cheng Zhuo, Pingqiang Zhou:
A Cross-Layer Framework for Temporal Power and Supply Noise Prediction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1914-1927 (2019) - [j13]Umamaheswara Rao Tida, Cheng Zhuo, Yiyu Shi:
Single-Inductor-Multiple-Tier Regulation: TSV-Inductor-Based On-Chip Buck Converters for 3-D IC Power Delivery. IEEE Trans. Very Large Scale Integr. Syst. 27(10): 2305-2316 (2019) - [c34]Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo:
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. AAAI 2019: 5949-5956 - [c33]Yufei Chen, Qinming Zhang, Tingtao Li, Hao Yu, Mei Tian, Cheng Zhuo:
ANT-UNet: Accurate and Noise-Tolerant Segmentation for Pathology Image Processing. BioCAS 2019: 1-4 - [c32]Lu Wang, Leilei Wang, Dejia Shang, Cheng Zhuo, Pingqiang Zhou:
Optimizing the Energy Efficiency of Power Supply in Heterogeneous Multicore Chips with Integrated Switched-Capacitor Converters. DATE 2019: 836-841 - [c31]Jörg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao, Xunzhao Yin, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu, Hsiang-Yun Cheng, Chia-Lin Yang:
The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. ICCAD 2019: 1-6 - [c30]Tianhao Shen, Di Gao, Yiyu Shi, Cheng Zhuo:
Power Delivery Resonant Virus: Concept and Applications. ISLPED 2019: 1-6 - [i2]Di Gao, Dayane Alfenas Reis, Xiaobo Sharon Hu, Cheng Zhuo:
Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures. CoRR abs/1901.09348 (2019) - [i1]Zheyu Yan, Yiyu Shi, Wang Liao, Masanori Hashimoto, Xichuan Zhou, Cheng Zhuo:
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. CoRR abs/1909.04697 (2019) - 2018
- [j12]Baixin Chen, Cheng Zhuo, Yiyu Shi:
A physics-aware methodology for equivalent circuit model extraction of TSV-inductors. Integr. 63: 160-166 (2018) - [j11]Zhongyang Liu, Shaoheng Luo, Xiaowei Xu, Yiyu Shi, Cheng Zhuo:
A Multi-Level-Optimization Framework for FPGA-Based Cellular Neural Network Implementation. ACM J. Emerg. Technol. Comput. Syst. 14(4): 47:1-47:17 (2018) - [j10]Wenjian Yu, Zhezhao Xu, Bo Li, Cheng Zhuo:
Floating Random Walk-Based Capacitance Simulation Considering General Floating Metals. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1711-1715 (2018) - [c29]Di Gao, Tianhao Shen, Cheng Zhuo:
A design framework for processing-in-memory accelerator. SLIP@DAC 2018: 3:1-3:6 - [c28]Shaoheng Luo, Cheng Zhuo, Houle Gan:
Noise-aware DVFS transition sequence optimization for battery-powered IoT devices. DAC 2018: 27:1-27:6 - [c27]Baixin Chen, Umamaheswara Rao Tida, Cheng Zhuo, Yiyu Shi:
Modeling and optimization of magnetic core TSV-inductor for on-chip DC-DC converter. ICCAD 2018: 16 - 2017
- [j9]Po-Yi Wu, Wai-Kei Mak, Ting-Chi Wang, Cheng Zhuo, Kassan Unda, Yiyu Shi:
A routing framework for technology migration with bump encroachment. Integr. 58: 1-8 (2017) - [c26]Kassan Unda, Chung-Han Chou, Shih-Chieh Chang, Cheng Zhuo, Yiyu Shi:
CN-SIM: A cycle-accurate full system power delivery noise simulator. ASP-DAC 2017: 554-559 - [c25]Xiaowei Xu, Qing Lu, Tianchen Wang, Jinglan Liu, Cheng Zhuo, Xiaobo Sharon Hu, Yiyu Shi:
Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks. ICCAD 2017: 880-887 - [c24]Zhongyang Liu, Shaoheng Luo, Xiaowei Xu, Yiyu Shi, Cheng Zhuo:
FPGA based cellular neural network optimization: from design space to system. NCS 2017: 8:1-8:7 - [c23]Cheng Zhuo, Bei Yu, Di Gao:
Accelerating chip design with machine learning: From pre-silicon to post-silicon. SoCC 2017: 227-232 - 2016
- [c22]Cheng Zhuo, Kassan Unda, Yiyu Shi, Wei-Kai Shih:
A novel cross-layer framework for early-stage power delivery and architecture co-exploration. DAC 2016: 71:1-71:6 - [c21]Hantao Huang, Hao Yu, Cheng Zhuo, Fengbo Ren:
A Compressive-sensing based Testing Vehicle for 3D TSV Pre-bond and Post-bond Testing Data. ISPD 2016: 19-25 - 2015
- [j8]Cheng Zhuo, Houle Gan, Wei-Kai Shih, Alaeddin A. Aydiner:
A Cross-Layer Approach for Early-Stage Power Grid Design and Optimization. ACM J. Emerg. Technol. Comput. Syst. 12(3): 25:1-25:20 (2015) - [j7]Umamaheswara Rao Tida, Rongbo Yang, Cheng Zhuo, Yiyu Shi:
On the Efficacy of Through-Silicon-Via Inductors. IEEE Trans. Very Large Scale Integr. Syst. 23(7): 1322-1334 (2015) - [j6]Cheng Zhuo, Gustavo R. Wilke, Ritochit Chakraborty, Alaeddin A. Aydiner, Sourav Chakravarty, Wei-Kai Shih:
Silicon-Validated Power Delivery Modeling and Analysis on a 32-nm DDR I/O Interface. IEEE Trans. Very Large Scale Integr. Syst. 23(9): 1760-1771 (2015) - [c20]Tao Wang, Jinglan Liu, Cheng Zhuo, Yiyu Shi:
1-Bit Compressed Sensing Based Framework for Built-in Resonance Frequency Prediction Using On-Chip Noise Sensors. ICCAD 2015: 721-728 - 2014
- [j5]Umamaheswara Rao Tida, Cheng Zhuo, Yiyu Shi:
Novel Through-Silicon-Via Inductor-Based On-Chip DC-DC Converter Designs in 3D ICs. ACM J. Emerg. Technol. Comput. Syst. 11(2): 16:1-16:14 (2014) - [c19]Umamaheswara Rao Tida, Cheng Zhuo, Yiyu Shi:
Through-silicon-via inductor: Is it real or just a fantasy? ASP-DAC 2014: 837-842 - [c18]Cheng Zhuo, Houle Gan, Wei-Kai Shih:
Early-Stage Power Grid Design: Extraction, Modeling and Optimization. DAC 2014: 79:1-79:6 - [c17]Xueqian Zhao, Zhuo Feng, Cheng Zhuo:
An efficient spectral graph sparsification approach to scalable reduction of large flip-chip power grids. ICCAD 2014: 218-223 - [c16]Sai Manoj Pudukotai Dinakarrao, Hao Yu, Chenjie Gu, Cheng Zhuo:
A zonotoped macromodeling for reachability verification of eye-diagram in high-speed I/O links with jitter. ICCAD 2014: 696-701 - [c15]Umamaheswara Rao Tida, Varun Mittapalli, Cheng Zhuo, Yiyu Shi:
Opportunistic through-silicon-via inductor utilization in LC resonant clocks: concept and algorithms. ICCAD 2014: 750-757 - [c14]Umamaheswara Rao Tida, Varun Mittapalli, Cheng Zhuo, Yiyu Shi:
"Green" On-chip Inductors in Three-Dimensional Integrated Circuits. ISVLSI 2014: 571-576 - 2013
- [j4]Cheng Zhuo, Dennis Sylvester, David T. Blaauw:
A Statistical Framework for Post-Fabrication Oxide Breakdown Reliability Prediction and Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(4): 630-643 (2013) - [c13]Muhammet Mustafa Ozdal, Chirayu Amin, Andrey Ayupov, Steven M. Burns, Gustavo R. Wilke, Cheng Zhuo:
An improved benchmark suite for the ISPD-2013 discrete cell sizing contest. ISPD 2013: 168-170 - 2012
- [c12]Cheng Zhuo, Gustavo R. Wilke, Ritochit Chakraborty, Alaeddin A. Aydiner, Sourav Chakravarty, Wei-Kai Shih:
A silicon-validated methodology for power delivery modeling and simulation. ICCAD 2012: 255-262 - [c11]Muhammet Mustafa Ozdal, Chirayu Amin, Andrey Ayupov, Steven M. Burns, Gustavo R. Wilke, Cheng Zhuo:
The ISPD-2012 discrete cell sizing contest and benchmark suite. ISPD 2012: 161-164 - 2011
- [j3]Cheng Zhuo, Kaviraj Chopra, Dennis Sylvester, David T. Blaauw:
Process Variation and Temperature-Aware Full Chip Oxide Breakdown Reliability Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(9): 1321-1334 (2011) - [c10]Junjun Gu, Gang Qu, Lin Yuan, Cheng Zhuo:
Improving dual Vt technology by simultaneous gate sizing and mechanical stress optimization. ICCAD 2011: 732-735 - 2010
- [c9]Cheng Zhuo, Yung-Hsu Chang, Dennis Sylvester, David T. Blaauw:
Design time body bias selection for parametric yield improvement. ASP-DAC 2010: 681-688 - [c8]Cheng Zhuo, Dennis Sylvester, David T. Blaauw:
Process variation and temperature-aware reliability management. DATE 2010: 580-585 - [c7]Cheng Zhuo, Kanak Agarwal, David T. Blaauw, Dennis Sylvester:
Active learning framework for post-silicon variation extraction and test cost reduction. ICCAD 2010: 508-515
2000 – 2009
- 2009
- [j2]Prashant Singh, Cheng Zhuo, Eric Karl, David T. Blaauw, Dennis Sylvester:
Sensor-Driven Reliability and Wearout Management. IEEE Des. Test Comput. 26(6): 40-49 (2009) - [c6]Cheng Zhuo, David T. Blaauw, Dennis Sylvester:
Post-fabrication measurement-driven oxide breakdown reliability prediction and management. ICCAD 2009: 441-448 - 2008
- [j1]Cheng Zhuo, Jiang Hu, Min Zhao, Kangsheng Chen:
Power Grid Analysis and Optimization Using Algebraic Multigrid. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(4): 738-751 (2008) - [c5]Kaviraj Chopra, Cheng Zhuo, David T. Blaauw, Dennis Sylvester:
A statistical approach for full-chip gate-oxide reliability analysis. ICCAD 2008: 698-705 - [c4]Cheng Zhuo, David T. Blaauw, Dennis Sylvester:
Variation-aware gate sizing and clustering for post-silicon optimized circuits. ISLPED 2008: 105-110 - 2007
- [c3]Cheng Zhuo, Huafeng Zhang, Rupak Samanta, Jiang Hu, Kangsheng Chen:
Modeling, optimization and control of rotary traveling-wave oscillator. ICCAD 2007: 476-480 - 2006
- [c2]Cheng Zhuo, Jiang Hu, Min Zhao, Kangsheng Chen:
Fast decap allocation based on algebraic multigrid. ICCAD 2006: 107-111 - [c1]Cheng Zhuo, Jiang Hu, Kangsheng Chen:
An Improved AMG-based Method for Fast Power Grid Analysis. ISQED 2006: 290-295
Coauthor Index
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