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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j12]Xiaochen Guo
, Haitao Wu:
Framework and Methods of State Monitoring-Based Positioning System on WIFI-RTT Clock Drift Theory. IEEE Trans. Aerosp. Electron. Syst. 60(1): 685-697 (2024)- [c26]Jian Zhang, Jing Ma, Xiaochen Guo, Lin Li, Liang He:
A Speaker Recognition Method Based on Stable Learning. ICASSP 2024: 10221-10225 - [c25]Zeliang Yu, Ming Wen, Xiaochen Guo, Hai Jin:
Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. ISSTA 2024: 1759-1771 - [i4]Abhishek Singh, Christian Schulte, Xiaochen Guo:
AMC: Access to Miss Correlation Prefetcher for Evolving Graph Analytics. CoRR abs/2406.14008 (2024) - 2023
- [c24]Hesam Shabani, Abhishek Singh, Bishoy Youhana, Xiaochen Guo:
HIRAC: A Hierarchical Accelerator with Sorting-based Packing for SpGEMMs in DNN Applications. HPCA 2023: 247-258 - [c23]Haoxiang Jia, Ming Wen, Zifan Xie, Xiaochen Guo, Rongxin Wu, Maolin Sun, Kang Chen, Hai Jin:
Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. ICSE 2023: 43-55 - [c22]Jian Zhang, Liang He, Xiaochen Guo, Jing Ma:
A Study on Visualization of Voiceprint Feature. INTERSPEECH 2023: 2233-2237 - [c21]Zhihua Fang, Liang He, Hanhan Ma, Xiaochen Guo, Lin Li:
Robust Training for Speaker Verification against Noisy Labels. INTERSPEECH 2023: 3192-3196 - [c20]Zifan Xie, Ming Wen, Haoxiang Jia, Xiaochen Guo, Xiaotong Huang, Deqing Zou, Hai Jin:
Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation. ISSTA 2023: 347-359 - 2022
- [j11]Jingbo Zhang, Qingwen Wang, Xiaochen Guo, Xiaohan Zheng, Da Liu:
Radio Frequency Fingerprint Identification Based on Logarithmic Power Cosine Spectrum. IEEE Access 10: 79165-79179 (2022) - [j10]Yuanqing Cheng, Xiaochen Guo, Vasilis F. Pavlidis:
Emerging monolithic 3D integration: Opportunities and challenges from the computer system perspective. Integr. 85: 97-107 (2022) - [j9]Chao Zhang, Maximilian H. Bremer, Cy P. Chan, John Shalf, Xiaochen Guo:
ASA: Accelerating Sparse Accumulation in Column-wise SpGEMM. ACM Trans. Archit. Code Optim. 19(4): 49:1-49:24 (2022) - [c19]Yuan Zeng, Edward Jeffs, Terrence C. Stewart, Yevgeny Berdichevsky, Xiaochen Guo:
Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks. ICONS 2022: 6:1-6:8 - 2021
- [j8]Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Valentin Post, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan:
Understanding the Impact of Neural Variations and Random Connections on Inference. Frontiers Comput. Neurosci. 15: 612937 (2021) - [j7]Abhishek Singh, Shail Dave, Pantea Zardoshti, Robert Brotzman, Chao Zhang, Xiaochen Guo, Aviral Shrivastava, Gang Tan, Michael F. Spear:
SPX64: A Scratchpad Memory for General-purpose Microprocessors. ACM Trans. Archit. Code Optim. 18(1): 14:1-14:26 (2021) - [j6]Jinbo Chen, Chengcheng Lu, Jiacheng Ni, Xiaochen Guo, Patrick Girard, Yuanqing Cheng:
DOVA PRO: A Dynamic Overwriting Voltage Adjustment Technique for STT-MRAM L1 Cache Considering Dielectric Breakdown Effect. IEEE Trans. Very Large Scale Integr. Syst. 29(7): 1325-1334 (2021) - [c18]Zubayer Ibne Ferdous, Anlan Yu, Yuan Zeng, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky:
Efficient and Accurate Computational Model of Neuron with Spike Frequency Adaptation. EMBC 2021: 6496-6499 - [c17]Yuan Zeng, Terrence C. Stewart, Zubayer Ibne Ferdous, Yevgeny Berdichevsky, Xiaochen Guo:
Temporal Learning with Biologically Fitted SNN Models. ICONS 2021: 7:1-7:8 - [c16]Mohammed E. Elbtity, Abhishek Singh, Brendan Reidy, Xiaochen Guo, Ramtin Zand:
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. ISVLSI 2021: 188-193 - [i3]Mohammed E. Elbtity, Abhishek Singh, Brendan Reidy, Xiaochen Guo, Ramtin Zand:
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. CoRR abs/2105.13904 (2021) - 2020
- [j5]Chao Zhang, Yuan Zeng, Xiaochen Guo:
Scrabble: A Fine-Grained Cache with Adaptive Merged Block. IEEE Trans. Computers 69(1): 112-125 (2020) - [c15]Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen:
Stealing Your Data from Compressed Machine Learning Models. DAC 2020: 1-6 - [c14]Jiacheng Ni, Xiaochen Guo, Yuanqing Cheng:
SIP: Boosting Up Graph Computing by Separating the Irregular Property Data. ACM Great Lakes Symposium on VLSI 2020: 15-20 - [c13]Chao Zhang, Khaled Abdelaal, Angel Chen, Xinhui Zhao, Wujie Wen, Xiaochen Guo:
ECC Cache: A Lightweight Error Detection for Phase-Change Memory Stuck-At Faults. ICCAD 2020: 59:1-59:9 - [c12]Jinbo Chen, Keren Liu, Xiaochen Guo, Patrick Girard, Yuanqing Cheng:
DOVA: A Dynamic Overwriting Voltage Adjustment for STT-RAM L1 Cache. ISQED 2020: 408-414 - [c11]Chao Zhang, Yuan Zeng, John Shalf, Xiaochen Guo:
RnR: A Software-Assisted Record-and-Replay Hardware Prefetcher. MICRO 2020: 609-621
2010 – 2019
- 2019
- [j4]Shibo Wang, Mahdi Nazm Bojnordi, Xiaochen Guo, Engin Ipek:
Content Aware Refresh: Exploiting the Asymmetry of DRAM Retention Errors to Reduce the Refresh Frequency of Less Vulnerable Data. IEEE Trans. Computers 68(3): 362-374 (2019) - [c10]Hesam Shabani, Xiaochen Guo:
ClusCross: a new topology for silicon interposer-based network-on-chip. NOCS 2019: 7:1-7:8 - [c9]Seyedeh Yasaman Hosseini Mirmahaleh, Midia Reshadi, Hesam Shabani, Xiaochen Guo, Nader Bagherzadeh:
Flow mapping and data distribution on mesh-based deep learning accelerator. NOCS 2019: 13:1-13:8 - [i2]Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan:
Inference with Hybrid Bio-hardware Neural Networks. CoRR abs/1905.11594 (2019) - 2018
- [j3]Xiaochen Guo, Mahdi Nazm Bojnordi, Qing Guo, Engin Ipek:
Sanitizer: Mitigating the Impact of Expensive ECC Checks on STT-MRAM Based Main Memories. IEEE Trans. Computers 67(6): 847-860 (2018) - [c8]Yuan Zeng, Kevin Devincentis, Yao Xiao, Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky:
A Supervised Stdp-Based Training Algorithm for Living Neural Networks. ICASSP 2018: 1154-1158 - 2017
- [c7]Chao Zhang, Xiaochen Guo:
Enabling efficient fine-grained DRAM activations with interleaved I/O. ISLPED 2017: 1-6 - [c6]Christopher Garman, Xiaochen Guo, Michael F. Spear:
A study of unnecessary write backs. MEMSYS 2017: 127-129 - [c5]Yuan Zeng, Xiaochen Guo:
Long short term memory based hardware prefetcher: a case study. MEMSYS 2017: 305-311 - [i1]Yuan Zeng, Kevin Devincentis, Yao Xiao, Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky:
A Supervised STDP-based Training Algorithm for Living Neural Networks. CoRR abs/1710.10944 (2017) - 2016
- [j2]Ravi Patel, Xiaochen Guo, Qing Guo, Engin Ipek, Eby G. Friedman:
Reducing Switching Latency and Energy in STT-MRAM Caches With Field-Assisted Writing. IEEE Trans. Very Large Scale Integr. Syst. 24(1): 129-138 (2016) - [c4]Xiaochen Guo, Aviral Shrivastava, Michael F. Spear, Gang Tan:
Languages Must Expose Memory Heterogeneity. MEMSYS 2016: 251-256 - 2015
- [j1]Qing Guo, Xiaochen Guo, Yuxin Bai, Ravi Patel, Engin Ipek, Eby G. Friedman:
Resistive Ternary Content Addressable Memory Systems for Data-Intensive Computing. IEEE Micro 35(5): 62-71 (2015) - 2013
- [c3]Qing Guo, Xiaochen Guo, Ravi Patel, Engin Ipek, Eby G. Friedman:
AC-DIMM: associative computing with STT-MRAM. ISCA 2013: 189-200 - 2011
- [c2]Qing Guo, Xiaochen Guo, Yuxin Bai, Engin Ipek:
A resistive TCAM accelerator for data-intensive computing. MICRO 2011: 339-350 - 2010
- [c1]Xiaochen Guo, Engin Ipek, Tolga Soyata:
Resistive computation: avoiding the power wall with low-leakage, STT-MRAM based computing. ISCA 2010: 371-382
Coauthor Index
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