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Xuan Zhang 0001
Person information
- affiliation: Harvard University, Cambridge, MA, USA
- affiliation: Washington University in St. Louis, MO, USA
Other persons with the same name
- Xuan Zhang — disambiguation page
- Xuan Zhang 0002 — Yunnan University, School of Software, Yunnan, China
- Xuan Zhang 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Xuan Zhang 0004 — Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China (and 3 more)
- Xuan Zhang 0005 — Virginia Tech, Blacksburg, USA
- Xuan Zhang 0006 — Tsinghua University, Institute for Network Sciences and Cyberspace, Beijing, China
- Xuan Zhang 0007 — University of Agder, Grimstad, Norway
- Xuan Zhang 0008 — Johns Hopkins University, Baltimore, MD, USA
- Xuan Zhang 0009 (aka: Alex X. Zhang 0002) — Renmin University of China, Beijing, China
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2020 – today
- 2024
- [j26]Huifeng Zhu, Xiaolong Guo, Yier Jin, Xuan Zhang:
PowerScout: Security-Oriented Power Delivery Network Modeling for Side-Channel Vulnerability Analysis. IEEE Trans. Emerg. Top. Comput. 12(2): 532-545 (2024) - [c56]Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo:
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. ASPDAC 2024: 349-354 - [c55]Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang:
Watt: A Write-Optimized RRAM-Based Accelerator for Attention. Euro-Par (2) 2024: 107-120 - [c54]Yu Feng, Tianrui Ma, Yuhao Zhu, Xuan Zhang:
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling. ISCA 2024: 1262-1277 - [i22]Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo:
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. CoRR abs/2402.01728 (2024) - [i21]Yu Feng, Tianrui Ma, Yuhao Zhu, Xuan Zhang:
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling. CoRR abs/2404.15733 (2024) - [i20]Weidong Cao, Jian Gao, Tianrui Ma, Rui Ma, Mouhacine Benosman, Xuan Zhang:
RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning. CoRR abs/2407.19150 (2024) - 2023
- [j25]An Zou, Yehan Ma, Karthik Garimella, Benjamin Lee, Christopher D. Gill, Xuan Zhang:
F-LEMMA: Fast Learning-Based Energy Management for Multi-/Many-Core Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 616-629 (2023) - [j24]Huifeng Zhu, Haoqi Shan, Dean Sullivan, Xiaolong Guo, Yier Jin, Xuan Zhang:
PDNPulse: Sensing PCB Anomaly With the Intrinsic Power Delivery Network. IEEE Trans. Inf. Forensics Secur. 18: 3590-3605 (2023) - [j23]An Zou, Jing Li, Christopher D. Gill, Xuan Zhang:
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks With Fine-Grain Utilization. IEEE Trans. Parallel Distributed Syst. 34(5): 1450-1465 (2023) - [c53]Chenfeng Zhao, Roger D. Chamberlain, Xuan Zhang:
SuperCut: Communication-Aware Partitioning for Near-Memory Graph Processing. CF 2023: 42-51 - [c52]Yu Feng, Tianrui Ma, Adith Boloor, Yuhao Zhu, Xuan Zhang:
Invited Paper: Learned In-Sensor Visual Computing: From Compression to Eventification. ICCAD 2023: 1-9 - [c51]Huifeng Zhu, Weidong Cao, Xuan Zhang:
PDNSig: Identifying Multi-Tenant Cloud FPGAs with Power Distribution Network-Based Signatures. ICCAD 2023: 1-8 - [c50]Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang:
HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD 2023: 375-382 - [c49]Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain:
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. ICCD 2023: 574-577 - [c48]Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang:
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR 2023 - [c47]Tianrui Ma, Yu Feng, Xuan Zhang, Yuhao Zhu:
CAMJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing. ISCA 2023: 29:1-29:14 - [c46]Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang:
LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. ISCA 2023: 54:1-54:14 - [c45]Wenwen Xu, Zheyu Zhang, Yuankai Xu, Jing Li, Yehan Ma, Yier Jin, Christopher D. Gill, Xuan Zhang, An Zou:
Energy Efficient Real-Time Scheduling on Heterogeneous Architectures with Self-Suspension. ISLPED 2023: 1-6 - [c44]Oren Bell, Chris Gill, Xuan Zhang:
Hardware Acceleration with Zero-Copy Memory Management for Heterogeneous Computing. RTCSA 2023: 28-37 - [i19]Tianrui Ma, Yu Feng, Xuan Zhang, Yuhao Zhu:
CamJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing. CoRR abs/2304.03320 (2023) - [i18]Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang:
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. CoRR abs/2308.16406 (2023) - [i17]Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain:
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. CoRR abs/2309.16022 (2023) - 2022
- [j22]Chenfeng Zhao, Xuan Zhang, Roger D. Chamberlain:
Executing Data Integration Effectively and Efficiently Near the Memory. IEEE Des. Test 39(2): 65-73 (2022) - [j21]Liu Ke, Xuan Zhang, Jinin So, Jong-Geon Lee, Shinhaeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, Jin Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, IlKwon Yun, Sung Joo Park, Hyunsun Park, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, Hsien-Hsin S. Lee:
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. IEEE Micro 42(1): 116-127 (2022) - [j20]Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang:
Neural-PIM: Efficient Processing-In-Memory With Neural Approximation of Peripherals. IEEE Trans. Computers 71(9): 2142-2155 (2022) - [c43]Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang:
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. HPCA 2022: 141-154 - [c42]Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee:
SecNDP: Secure Near-Data Processing with Untrusted Memory. HPCA 2022: 244-258 - [c41]Huifeng Zhu, Zhiyuan Yu, Weidong Cao, Ning Zhang, Xuan Zhang:
PowerTouch: A Security Objective-Guided Automation Framework for Generating Wired Ghost Touch Attacks on Touchscreens. ICCAD 2022: 67:1-67:9 - [c40]Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang:
Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. ICCAD 2022: 115:1-115:9 - [c39]Siying Feng, Xin He, Kuan-Yu Chen, Liu Ke, Xuan Zhang, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski:
MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows. ISCA 2022: 245-258 - [c38]Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang:
HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors. ISLPED 2022: 10:1-10:6 - [i16]Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang:
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals. CoRR abs/2201.12861 (2022) - [i15]Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma:
Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning. CoRR abs/2202.13185 (2022) - [i14]Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang:
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. CoRR abs/2203.07424 (2022) - [i13]Huifeng Zhu, Haoqi Shan, Dean Sullivan, Xiaolong Guo, Yier Jin, Xuan Zhang:
PDNPulse: Sensing PCB Anomaly with the Intrinsic Power Delivery Network. CoRR abs/2204.02482 (2022) - [i12]Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma:
Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization. CoRR abs/2204.12948 (2022) - [i11]Liu Ke, Xuan Zhang, Benjamin Lee, G. Edward Suh, Hsien-Hsin S. Lee:
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation. CoRR abs/2212.00939 (2022) - 2021
- [j19]An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang:
System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System. ACM Trans. Archit. Code Optim. 18(4): 52:1-52:27 (2021) - [j18]Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 808-821 (2021) - [c37]Huifeng Zhu, Xiaolong Guo, Yier Jin, Xuan Zhang:
PCBench: Benchmarking of Board-Level Hardware Attacks and Trojans. ASP-DAC 2021: 396-401 - [c36]Tarek F. Abdelzaher, Sanjoy K. Baruah, Chris Gill, Yevgeniy Vorobeychik, Ning Zhang, Xuan Zhang:
Research Challenges for Combined Autonomy, AI, and Real-Time Assurance. CogMI 2021: 163-167 - [c35]Yichen Jiang, Huifeng Zhu, Dean Sullivan, Xiaolong Guo, Xuan Zhang, Yier Jin:
Quantifying Rowhammer Vulnerability for DRAM Security. DAC 2021: 73-78 - [c34]Yichen Jiang, Huifeng Zhu, Haoqi Shan, Xiaolong Guo, Xuan Zhang, Yier Jin:
TRRScope: Understanding Target Row Refresh Mechanism for Modern DDR Protection. HOST 2021: 239-247 - [c33]Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik:
Can Optical Trojans Assist Adversarial Perturbations? ICCVW 2021: 122-131 - [i10]An Zou, Jing Li, Christopher D. Gill, Xuan Zhang:
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization. CoRR abs/2101.10463 (2021) - [i9]Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee:
SecNDP: Secure Near-Data Processing with Untrusted Memory. IACR Cryptol. ePrint Arch. 2021: 1642 (2021) - 2020
- [j17]Xin He, Guihai Yan, Wenyan Lu, Xuan Zhang, Liu Ke:
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. IEEE Des. Test 37(1): 36-45 (2020) - [j16]Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Attacking vision-based perception in end-to-end autonomous driving models. J. Syst. Archit. 110: 101766 (2020) - [j15]Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang:
NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(9): 1841-1854 (2020) - [j14]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang:
Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5142-5155 (2020) - [j13]Zhe Chen, Xinjun Liu, Huazhong Yang, Huifeng Zhu, Erxiang Ren, Zheyu Liu, Kaige Jia, Li Luo, Xuan Zhang, Qi Wei, Fei Qiao:
Processing Near Sensor Architecture in Mixed-Signal Domain With CMOS Image Sensor of Convolutional-Kernel-Readout Method. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(2): 389-400 (2020) - [j12]Wei Yan, Ning Zhang, Laurent L. Njilla, Xuan Zhang:
PCBChain: Lightweight Reconfigurable Blockchain Primitives for Secure IoT Applications. IEEE Trans. Very Large Scale Integr. Syst. 28(10): 2196-2209 (2020) - [c32]Huifeng Zhu, Xiaolong Guo, Yier Jin, Xuan Zhang:
PowerScout: A Security-Oriented Power Delivery Network Modeling Framework for Cross-Domain Side-Channel Analysis. AsianHOST 2020: 1-6 - [c31]Wei Yan, Fatemeh Tehranipoor, Xuan Zhang, John A. Chandy:
FLASH: FPGA Locality-Aware Sensitive Hash for Nearest Neighbor Search and Clustering Application. FPL 2020: 249-253 - [c30]Wei Yan, Huifeng Zhu, Zhiyuan Yu, Fatemeh Tehranipoor, John A. Chandy, Ning Zhang, Xuan Zhang:
Bit2RNG: Leveraging Bad-page Initialized Table with Bit-error Insertion for True Random Number Generation in Commodity Flash Memory. HOST 2020: 91-101 - [c29]Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang:
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. HPCA 2020: 488-501 - [c28]Darko Ivanovich, Chenfeng Zhao, Xuan Zhang, Roger D. Chamberlain, Amit Deliwala, Viktor Gruev:
Chip-to-chip Optical Data Communications using Polarization Division Multiplexing. HPEC 2020: 1-8 - [c27]Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA 2020: 790-803 - [c26]An Zou, Karthik Garimella, Benjamin Lee, Christopher D. Gill, Xuan Zhang:
F-LEMMA: Fast Learning-based Energy Management for Multi-/Many-core Processors. MLCAD 2020: 43-48 - [c25]Jinghao Sun, Jing Li, Zhishan Guo, An Zou, Xuan Zhang, Kunal Agrawal, Sanjoy K. Baruah:
Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. RTAS 2020: 56-69 - [i8]Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik:
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing. CoRR abs/2010.08844 (2020)
2010 – 2019
- 2019
- [c24]Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang:
NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. DATE 2019: 1477-1482 - [c23]Xiaolong Guo, Huifeng Zhu, Yier Jin, Xuan Zhang:
When Capacitors Attack: Formal Method Driven Design and Detection of Charge-Domain Trojans. DATE 2019: 1727-1732 - [c22]Xin He, Liu Ke, Xuan Zhang:
SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network. FPGA 2019: 117-118 - [c21]Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. ICCAD 2019: 1-7 - [c20]Adith Boloor, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models. ICESS 2019: 1-7 - [i7]Adith Boloor, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models. CoRR abs/1903.05157 (2019) - [i6]Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang:
The Architectural Implications of Facebook's DNN-based Personalized Recommendation. CoRR abs/1906.03109 (2019) - [i5]Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Attacking Vision-based Perception in End-to-End Autonomous Driving Models. CoRR abs/1910.01907 (2019) - [i4]Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. CoRR abs/1911.12815 (2019) - [i3]Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR abs/1912.12953 (2019) - 2018
- [j11]Xin He, Wenyan Lu, Guihai Yan, Xuan Zhang:
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 810-821 (2018) - [c19]Shuhao Jiang, Jiajun Li, Xin He, Guihai Yan, Xuan Zhang, Xiaowei Li:
RiskCap: Minimizing Effort of Error Regulation for Approximate Computing. ATS 2018: 133-138 - [c18]Yunfei Gu, Dengxue Yan, Vaibhav Verma, Mircea R. Stan, Xuan Zhang:
SRAM based opportunistic energy efficiency improvement in dual-supply near-threshold processors. DAC 2018: 41:1-41:6 - [c17]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang:
Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators. DAC 2018: 43:1-43:6 - [c16]Liu Ke, Xin He, Xuan Zhang:
NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators. ISLPED 2018: 4:1-4:6 - [c15]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. ISLPED 2018: 20:1-20:6 - [c14]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang:
Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. MICRO 2018: 390-402 - [i2]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. CoRR abs/1805.08309 (2018) - 2017
- [j10]Xuan Zhang, Mario Lok, Tao Tong, Sae Kyu Lee, Brandon Reagen, Simon Chaput, Pierre-Emile J. Duhamel, Robert J. Wood, David M. Brooks, Gu-Yeon Wei:
A Fully Integrated Battery-Powered System-on-Chip in 40-nm CMOS for Closed-Loop Control of Insect-Scale Pico-Aerial Vehicle. IEEE J. Solid State Circuits 52(9): 2374-2387 (2017) - [j9]Sae Kyu Lee, Tao Tong, Xuan Zhang, David M. Brooks, Gu-Yeon Wei:
A 16-Core Voltage-Stacked System With Adaptive Clocking and an Integrated Switched-Capacitor DC-DC Converter. IEEE Trans. Very Large Scale Integr. Syst. 25(4): 1271-1284 (2017) - [c13]An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang:
Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. DAC 2017: 1:1-1:6 - [c12]Sri Harsha Kondapalli, Xuan Zhang, Shantanu Chakrabartty:
Variance-based digital logic for energy harvesting Internet-of-Things. ISCAS 2017: 1-4 - [i1]Sri Harsha Kondapalli, Xuan Zhang, Shantanu Chakrabartty:
Energy-dissipation Limits in Variance-based Computing. CoRR abs/1707.06363 (2017) - 2016
- [j8]Tao Tong, Sae Kyu Lee, Xuan Zhang, David M. Brooks, Gu-Yeon Wei:
A Fully Integrated Reconfigurable Switched-Capacitor DC-DC Converter With Four Stacked Output Channels for Voltage Stacking Applications. IEEE J. Solid State Circuits 51(9): 2142-2152 (2016) - 2015
- [c11]Mario Lok, Xuan Zhang, Elizabeth Farrell Helbling, Robert J. Wood, David M. Brooks, Gu-Yeon Wei:
A power electronics unit to drive piezoelectric actuators for flying microrobots. CICC 2015: 1-4 - [c10]Xuan Zhang, Mario Lok, Tao Tong, Simon Chaput, Sae Kyu Lee, Brandon Reagen, Hyunkwang Lee, David M. Brooks, Gu-Yeon Wei:
A multi-chip system optimized for insect-scale flapping-wing robots. VLSIC 2015: 152- - [c9]Sae Kyu Lee, Tao Tong, Xuan Zhang, David M. Brooks, Gu-Yeon Wei:
A 16-core voltage-stacked system with an integrated switched-capacitor DC-DC converter. VLSIC 2015: 318- - 2014
- [j7]Xuan Zhang, Tao Tong, David M. Brooks, Gu-Yeon Wei:
Evaluating Adaptive Clocking for Supply-Noise Resilience in Battery-Powered Aerial Microrobotic System-on-Chip. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(8): 2309-2317 (2014) - [j6]Mustansir Yunus Mukadam, Oscar da Costa Gouveia-Filho, Nicholas Kramer, Xuan Zhang, Alyssa B. Apsel:
Low-Power, Minimally Invasive Process Compensation Technique for Sub-Micron CMOS Amplifiers. IEEE Trans. Very Large Scale Integr. Syst. 22(1): 1-12 (2014) - 2013
- [c8]Tao Tong, Xuan Zhang, Wonyoung Kim, David M. Brooks, Gu-Yeon Wei:
A fully integrated battery-connected switched-capacitor 4: 1 voltage regulator with 70% peak efficiency using bottom-plate charge recycling. CICC 2013: 1-4 - [c7]Xuan Zhang, Tao Tong, David M. Brooks, Gu-Yeon Wei:
Supply-noise resilient adaptive clocking for battery-powered aerial microrobotic System-on-Chip in 40nm CMOS. CICC 2013: 1-4 - [c6]Xuan Zhang, Tao Tong, Svilen Kanev, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks:
Characterizing and evaluating voltage noise in multi-core near-threshold processors. ISLPED 2013: 82-87 - 2012
- [j5]Xuan Zhang, Bojiong Ni, Ishita Mukhopadhyay, Alyssa B. Apsel:
Improving Absolute Accuracy of Integrated Resistors With Device Diversification. IEEE Trans. Circuits Syst. II Express Briefs 59-II(6): 346-350 (2012) - 2011
- [j4]Xuan Zhang, Mustansir Yunus Mukadam, Ishita Mukhopadhyay, Alyssa B. Apsel:
Process Compensation Loops for High Speed Ring Oscillators in Sub-Micron CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(1): 59-70 (2011) - [j3]Xuan Zhang, Alyssa B. Apsel:
A Low-Power, Process-and- Temperature- Compensated Ring Oscillator With Addition-Based Current Source. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(5): 868-878 (2011) - [j2]Xuan Zhang, Ishita Mukhopadhyay, Rajeev K. Dokania, Alyssa B. Apsel:
A 46-µW Self-Calibrated Gigahertz VCO for Low-Power Radios. IEEE Trans. Circuits Syst. II Express Briefs 58-II(12): 847-851 (2011) - 2010
- [c5]Xuan Zhang, Rajeev K. Dokania, Mustansir Yunus Mukadam, Alyssa B. Apsel:
A successive approximation based process-invariant ring oscillator. ISCAS 2010: 1057-1060 - [c4]Mustansir Yunus Mukadam, Oscar da Costa Gouveia-Filho, Xuan Zhang, Alyssa B. Apsel:
Process variation compensation of a 4.6 GHz LNA in 65nm CMOS. ISCAS 2010: 2490-2493
2000 – 2009
- 2009
- [c3]Xuan Zhang, Alyssa B. Apsel:
A low variation GHz ring oscillator with addition-based current source. ESSCIRC 2009: 216-219 - [c2]Xuan Zhang, Alyssa B. Apsel:
A Process Compensated 3-GHz Ring Oscillator. ISCAS 2009: 581-584 - 2008
- [c1]Xuan Zhang, Anand Pappu, Alyssa B. Apsel:
Low variation current source for 90nm CMOS. ISCAS 2008: 388-391 - 2007
- [j1]Anand Pappu, Xuan Zhang, Andre V. Harrison, Alyssa B. Apsel:
Process-Invariant Current Source Design: Methodology and Examples. IEEE J. Solid State Circuits 42(10): 2293-2302 (2007)
Coauthor Index
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last updated on 2024-11-13 23:52 CET by the dblp team
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