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Xin He 0011
Person information
Other persons with the same name
- Xin He — disambiguation page
- Xin He 0001 — University of California, San Francisco, Department of Biochemistry and Biophysics, CA, USA (and 1 more)
- Xin He 0002 — University of New South Wales, Sydney, Australia (and 1 more)
- Xin He 0003
— Jilin University, Changchun, China - Xin He 0004
— Harbin Institute of Technology, School of Electronics and Information Engineering, China - Xin He 0005
— State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA - Xin He 0006
![0000-0001-8229-8143 [0000-0001-8229-8143]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png)
- Xin He 0007
![0000-0002-2564-6161 [0000-0002-2564-6161]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png)
- Xin He 0008
![0009-0005-3804-824X [0009-0005-3804-824X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png)
- Xin He 0009
![0000-0003-1890-4190 [0000-0003-1890-4190]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png)
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2020 – today
- 2025
[j10]Kuan-Yu Chen
, Chi-Sheng Yang
, Yu-Hsiu Sun
, Chien-Wei Tseng
, Morteza Fayazi
, Xin He, Siying Feng, Yufan Yue
, Trevor N. Mudge, Ronald G. Dreslinski
, Hun-Seok Kim
, David T. Blaauw
:
DAP: A 507-GMACs/J 256-Core Domain Adaptive Processor for Wireless Communication and Linear Algebra Kernels in 12-nm FINFET. IEEE J. Solid State Circuits 60(2): 672-684 (2025)- 2023
[c20]Yuhan Chen, Alireza Khadem, Xin He, Nishil Talati, Tanvir Ahmed Khan, Trevor N. Mudge:
PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows. DATE 2023: 1-6- 2022
[c19]Xin He, Kuan-Yu Chen
, Siying Feng, Hun-Seok Kim, David T. Blaauw, Ronald G. Dreslinski, Trevor N. Mudge:
Squaring the circle: Executing Sparse Matrix Computations on FlexTPU - A TPU-Like Processor. PACT 2022: 148-159
[c18]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
[c17]Daniel W. Bliss, Tutu Ajayi, Ali Akoglu
, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Yukang Fu
, A. Alper Goksoy, Xin He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, Hun-Seok Kim, A. N. Krishnakumar, Yang Li, Owen Ma, Joshua Mack
, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, Brittany M. McCall, Trevor N. Mudge, Ümit Y. Ogras
, Vishrut Pandey, Saquib Ahmad Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, Xiangdong Wei, B. R. Willis, Hanguang Yu, Yufan Yue:
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS 2022: 443-447
[c16]Kuan-Yu Chen, Chi-Sheng Yang
, Yu-Hsiu Sun, Chien-Wei Tseng, Morteza Fayazi, Xin He, Siying Feng, Yufan Yue, Trevor N. Mudge, Ronald G. Dreslinski, Hun-Seok Kim, David T. Blaauw:
A 507 GMACs/J 256-Core Domain Adaptive Systolic-Array-Processor for Wireless Communication and Linear-Algebra Kernels in 12nm FINFET. VLSI Technology and Circuits 2022: 202-203- 2021
[j9]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)
[c15]Siying Feng, Jiawen Sun, Subhankar Pal
, Xin He, Kuba Kaszyk, Dong-Hyeon Park, John Magnus Morton, Trevor N. Mudge, Murray Cole, Michael F. P. O'Boyle, Chaitali Chakrabarti, Ronald G. Dreslinski:
CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics. DAC 2021: 949-954- 2020
[j8]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)
[j7]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)
[j6]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)
[j5]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)
[c14]Subhankar Pal
, Siying Feng, Dong-Hyeon Park, Sung Kim, Aporva Amarnath, Chi-Sheng Yang
, Xin He, Jonathan Beaumont
, Kyle May, Yan Xiong, Kuba Kaszyk
, John Magnus Morton, Jiawen Sun, Michael F. P. O'Boyle, Murray Cole, Chaitali Chakrabarti, David T. Blaauw, Hun-Seok Kim, Trevor N. Mudge, Ronald G. Dreslinski:
Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration. PACT 2020: 175-190
[c13]Xin He, Subhankar Pal
, Aporva Amarnath, Siying Feng
, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Kuan-Yu Chen, Ronald G. Dreslinski, Trevor N. Mudge:
Sparse-TPU: adapting systolic arrays for sparse matrices. ICS 2020: 19:1-19:12
[c12]Yichen Yang
, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski:
CoPTA: Contiguous Pattern Speculating TLB Architecture. SAMOS 2020: 67-83
2010 – 2019
- 2019
[c11]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
[c10]Xin He, Liu Ke, Xuan Zhang:
SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network. FPGA 2019: 117-118
[c9]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
[i3]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)
[i2]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)- 2018
[j4]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)
[j3]Faqiang Sun, Guihai Yan, Xin He, Huawei Li
, Yinhe Han:
CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency. J. Comput. Sci. Technol. 33(1): 131-144 (2018)
[c8]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
[c7]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
[c6]Liu Ke, Xin He, Xuan Zhang
:
NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators. ISLPED 2018: 4:1-4:6
[c5]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
[c4]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
[i1]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
[j2]Xin He, Shuhao Jiang, Wenyan Lu, Guihai Yan, Yinhe Han, Xiaowei Li
:
Exploiting the Potential of Computation Reuse Through Approximate Computing. IEEE Trans. Multi Scale Comput. Syst. 3(3): 152-165 (2017)
[c3]Xin He, Guihai Yan, Faqiang Sun, Yinhe Han, Xiaowei Li
:
ApproxEye: Enabling approximate computation reuse for microrobotic computer vision. ASP-DAC 2017: 402-407- 2016
[j1]Xin He, Guihai Yan, Yinhe Han, Xiaowei Li
:
Wide Operational Range Processor Power Delivery Design for Both Super-Threshold Voltage and Near-Threshold Voltage Computing. J. Comput. Sci. Technol. 31(2): 253-266 (2016)
[c2]Xin He, Guihai Yan, Yinhe Han, Xiaowei Li
:
ACR: Enabling computation reuse for approximate computing. ASP-DAC 2016: 643-648- 2014
[c1]Xin He, Guihai Yan, Yinhe Han, Xiaowei Li:
SuperRange: Wide operational range power delivery design for both STV and NTV computing. DATE 2014: 1-6
Coauthor Index

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last updated on 2025-11-14 22:42 CET by the dblp team
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