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ORCIDXiaobo Sharon Hu
Xiaobo Hu 0001 – X. Sharon Hu
Person information
- affiliation: University of Notre Dame, Department of Computer Science and Engineering
Other persons with the same name
- Xiaobo Hu — disambiguation page
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2020 – today
- 2024
[j125]Xiaobo Sharon Hu
, Alain Girault, Heiko Falk:
Report on the 2023 Embedded Systems Week (ESWEEK). IEEE Des. Test 41(2): 84-87 (2024)- [j124]Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis:
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. IEEE Trans. Computers 73(6): 1559-1574 (2024) - [j123]Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, Xiaobo Sharon Hu, Taeho Jung:
Accelerating Finite-Field and Torus Fully Homomorphic Encryption via Compute-Enabled (S)RAM. IEEE Trans. Computers 73(10): 2449-2462 (2024) - [j122]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1822-1833 (2024) - [j121]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
Compute-in-Memory-Based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2452-2464 (2024) - [j120]Xiaoxuan Yang, Zhangyang Wang, X. Sharon Hu, Chris H. Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li:
Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1683-1689 (2024) - [c240]Hamid Farzaneh, João Paulo Cardoso de Lima, Mengyuan Li, Asif Ali Khan, Xiaobo Sharon Hu, Jerónimo Castrillón:
C4CAM: A Compiler for CAM-based In-memory Accelerators. ASPLOS (3) 2024: 164-177 - [c239]Yifan Qin, Zheyu Yan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi:
Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators. CODES+ISSS 2024: 37-40 - [c238]Michael T. Niemier, Z. Enciso, M. Sharifi, Xiaobo Sharon Hu, Ian O'Connor, A. Graening, R. Sharma, P. Gupta, Jerónimo Castrillón, João Paulo C. de Lima, Asif Ali Khan, H. Farzaneh, N. Afroze, Asif Khan, Julien Ryckaert:
Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, & Compilers. DATE 2024: 1-10 - [c237]Liu Liu, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications. ISCAS 2024: 1-5 - [i58]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators. CoRR abs/2401.05357 (2024) - [i57]Guangyu Meng, Ruyu Zhou, Liu Liu, Peixian Liang, Fang Liu, Danny Chen, Michael T. Niemier, X. Sharon Hu:
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search. CoRR abs/2401.07378 (2024) - [i56]Haoran Geng, Yuezhi Che, Aaron Dingler, Michael T. Niemier, Xiaobo Sharon Hu:
A New Secure Memory System for Efficient Data Protection and Access Pattern Obfuscation. CoRR abs/2402.15824 (2024) - [i55]Mengyuan Li, Shiyi Liu, Mohammad Mehdi Sharifi, X. Sharon Hu:
CAMASim: A Comprehensive Simulation Framework for Content-Addressable Memory based Accelerators. CoRR abs/2403.03442 (2024) - [i54]Yifan Qin, Zheyu Yan, Zixuan Pan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi:
TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators. CoRR abs/2406.06544 (2024) - [i53]Ahmed Mamdouh, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu, Dayane Reis:
Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM. CoRR abs/2408.15489 (2024) - [i52]Xunzhao Yin, Hamza Errahmouni Barkam, Franz Müller, Yu Jiang, Mohsen Imani, Sukhrob Abdulazhanov, Alptekin Vardar, Nellie Laleni, Zijian Zhao, Jiahui Duan, Zhiguo Shi, Siddharth Joshi, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI. CoRR abs/2410.15296 (2024) - [i51]Yifan Qin, Zhenge Jia, Zheyu Yan, Jay Mok, Manto Yung, Yu Liu, Xuejiao Liu, Wujie Wen, Luhong Liang, Kwang-Ting Tim Cheng, X. Sharon Hu, Yiyu Shi:
A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection. CoRR abs/2410.17395 (2024) - [i50]Ruiyang Qin, Pengyu Ren, Zheyu Yan, Liu Liu, Dancheng Liu, Amir Nassereldine, Jinjun Xiong, Kai Ni, Xiaobo Sharon Hu, Yiyu Shi:
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs. CoRR abs/2411.08244 (2024) - [i49]Ruiyang Qin, Dancheng Liu, Gelei Xu, Zheyu Yan, Chenhui Xu, Yuting Hu, X. Sharon Hu, Jinjun Xiong, Yiyu Shi:
Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge. CoRR abs/2411.13766 (2024) - 2023
- [j119]Aviral Shrivastava, Xiaobo Sharon Hu:
Report on the 2022 Embedded Systems Week (ESWEEK). IEEE Des. Test 40(1): 108-111 (2023) - [j118]Mingdai Yang, Qiuwen Lou, Ramin Rajaei, Mohammad Reza Jokar, Junyi Qiu, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li:
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM J. Emerg. Technol. Comput. Syst. 19(2): 14:1-14:24 (2023) - [j117]Zhenge Jia, Jianxu Chen, Xiaowei Xu, John N. Kheir, Jingtong Hu, Han Xiao, Sui Peng, Xiaobo Sharon Hu, Danny Ziyi Chen, Yiyu Shi:
The importance of resource awareness in artificial intelligence for healthcare. Nat. Mac. Intell. 5(7): 687-698 (2023) - [j116]Gert Cauwenberghs, Jason Cong, X. Sharon Hu, Siddharth Joshi, Subhasish Mitra, Wolfgang Porod, H.-S. Philip Wong:
Micro/Nano Circuits and Systems Design and Design Automation: Challenges and Opportunities. Proc. IEEE 111(6): 561-574 (2023) - [j115]Jing Gong, Hassaan Saadat, Hasindu Gamaarachchi, Haris Javaid, Xiaobo Sharon Hu, Sri Parameswaran:
ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3505-3518 (2023) - [j114]Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4112-4125 (2023) - [j113]Liu Liu, Ann Franchesca Laguna, Ramin Rajaei, Mohammad Mehdi Sharifi, Arman Kazemi, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2356-2369 (2023) - [j112]Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu:
An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. IEEE Trans. Emerg. Top. Comput. 11(2): 331-342 (2023) - [j111]Tianyu Zhang, Tao Gong, Mingsong Lyu, Nan Guan, Song Han, Xiaobo Sharon Hu:
Reliable Dynamic Packet Scheduling With Slot Sharing for Real-Time Wireless Networks. IEEE Trans. Mob. Comput. 22(11): 6723-6741 (2023) - [c236]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
In-Memory Computing Accelerators for Emerging Learning Paradigms. ASP-DAC 2023: 606-611 - [c235]Liu Liu, Shubham Kumar, Simon Thomann, Hussam Amrouch, Xiaobo Sharon Hu:
Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs. DAC 2023: 1-6 - [c234]Tianyu Zhang, Xiaobo Sharon Hu, Song Han:
Contention-Free Configured Grant Scheduling for 5G URLLC Traffic. DAC 2023: 1-6 - [c233]Michael T. Niemier, Xiaobo Sharon Hu, Liu Liu, Mohammad Mehdi Sharifi, Ian O'Connor, David Atienza, Giovanni Ansaloni, Can Li, Asif Khan, Daniel C. Ralph:
Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures. DATE 2023: 1-10 - [c232]Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu:
Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. ICCAD 2023: 1-9 - [c231]Mengyuan Li, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu:
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory. ICCAD 2023: 1-9 - [c230]Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin:
SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. ICCAD 2023: 1-9 - [c229]Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi:
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise. ICCAD 2023: 1-9 - [c228]Tianyu Zhang, Jiachen Wang, Xiaobo Sharon Hu, Song Han:
Real-Time Flow Scheduling in Industrial 5G New Radio. RTSS 2023: 371-384 - [c227]Jiachen Wang, Tianyu Zhang, Xiaobo Sharon Hu, Song Han:
Resource Virtualization with End-to-End Timing Guarantees for Multi-Hop Multi-Channel Real-Time Wireless Networks. RTSS 2023: 385-396 - [c226]Zheyu Yan, Yifan Qin, Xiaobo Sharon Hu, Yiyu Shi:
On the Viability of Using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators. SOCC 2023: 1-6 - [i48]Liu Liu, Shubham Kumar, Simon Thomann, Yogesh Singh Chauhan, Hussam Amrouch, Xiaobo Sharon Hu:
Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs. CoRR abs/2304.03868 (2023) - [i47]Yifan Qin, Zheyu Yan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi:
Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators. CoRR abs/2305.14561 (2023) - [i46]Zheyu Yan, Yifan Qin, Xiaobo Sharon Hu, Yiyu Shi:
On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators. CoRR abs/2306.06923 (2023) - [i45]Mengyuan Li, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu:
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory. CoRR abs/2307.14557 (2023) - [i44]Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi:
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise. CoRR abs/2307.15853 (2023) - [i43]Haoran Geng, Jianqiao Mo, Dayane Reis, Jonathan Takeshita, Taeho Jung, Brandon Reagen, Michael T. Niemier, Xiaobo Sharon Hu:
Privacy Preserving In-memory Computing Engine. CoRR abs/2308.02648 (2023) - [i42]Hamid Farzaneh, João Paulo Cardoso de Lima, Mengyuan Li, Asif Ali Khan, Xiaobo Sharon Hu, Jerónimo Castrillón:
C4CAM: A Compiler for CAM-based In-memory Accelerators. CoRR abs/2309.06418 (2023) - [i41]Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin:
SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search. CoRR abs/2310.04940 (2023) - [i40]Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis:
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection. CoRR abs/2311.17852 (2023) - [i39]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections. CoRR abs/2312.06137 (2023) - 2022
- [j110]Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. IEEE Des. Test 39(2): 56-64 (2022) - [j109]Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
Image Complexity Guided Network Compression for Biomedical Image Segmentation. ACM J. Emerg. Technol. Comput. Syst. 18(2): 26:1-26:23 (2022) - [j108]Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Xunzhao Yin, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu:
FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. IEEE Trans. Computers 71(10): 2565-2576 (2022) - [j107]Suraj Mishra, Yizhe Zhang, Danny Z. Chen, X. Sharon Hu:
Data-Driven Deep Supervision for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(6): 1560-1574 (2022) - [j106]Tian Wang, Junlong Zhou, Liying Li, Gongxuan Zhang, Keqin Li, Xiaobo Sharon Hu:
Deadline and Reliability Aware Multiserver Configuration Optimization for Maximizing Profit. IEEE Trans. Parallel Distributed Syst. 33(12): 3772-3786 (2022) - [j105]Dayane Reis, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu:
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. IEEE Trans. Very Large Scale Integr. Syst. 30(5): 553-565 (2022) - [c225]Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi:
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. ASP-DAC 2022: 128-133 - [c224]Muya Chang, Xunzhao Yin, Zoltán Toroczkai, Xiaobo Hu, Arijit Raychowdhury:
An Analog Clock-free Compute Fabric base on Continuous-Time Dynamical System for Solving Combinatorial Optimization Problems. CICC 2022: 1-2 - [c223]Ruixuan Wang, Xun Jiao, X. Sharon Hu:
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC 2022: 43-48 - [c222]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
SWIM: selective write-verify for computing-in-memory neural accelerators. DAC 2022: 277-282 - [c221]Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu:
iMARS: an in-memory-computing architecture for recommendation systems. DAC 2022: 463-468 - [c220]Liu Liu, Mohammad Mehdi Sharifi, Ramin Rajaei, Arman Kazemi, Kai Ni, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
Eva-CAM: A Circuit/Architecture-Level Evaluation Tool for General Content Addressable Memories. DATE 2022: 1173-1176 - [c219]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous? ICCAD 2022: 87:1-87:9 - [c218]Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu:
Associative Memory Based Experience Replay for Deep Reinforcement Learning. ICCAD 2022: 135:1-135:9 - [c217]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD 2022: 137:1-137:9 - [c216]Jiachen Wang, Tianyu Zhang, Dawei Shen, Xiaobo Sharon Hu, Song Han:
HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks. ICDCS 2022: 1029-1039 - [c215]Navjeet Bagga, Kai Ni, Nitanshu Chauhan, Om Prakash, X. Sharon Hu, Hussam Amrouch:
Cleaved-Gate Ferroelectric FET for Reliable Multi-Level Cell Storage. IRPS 2022: 5-1 - [c214]Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen:
Data-Driven Deep Supervision for Skin Lesion Classification. MICCAI (1) 2022: 721-731 - [c213]Dawei Shen, Tianyu Zhang, Jiachen Wang, Qingxu Deng, Song Han, Xiaobo Sharon Hu:
Distributed Successive Packet Scheduling for Multi-Channel Real-Time Wireless Networks. RTCSA 2022: 71-80 - [c212]Dawei Shen, Tianyu Zhang, Jiachen Wang, Qingxu Deng, Song Han, Xiaobo Sharon Hu:
QoS Guaranteed Resource Allocation for Coexisting eMBB and URLLC Traffic in 5G Industrial Networks. RTCSA 2022: 81-90 - [i38]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators. CoRR abs/2202.08395 (2022) - [i37]Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
iMARS: An In-Memory-Computing Architecture for Recommendation Systems. CoRR abs/2202.09433 (2022) - [i36]Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li:
Experimentally realized memristive memory augmented neural network. CoRR abs/2204.07429 (2022) - [i35]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
On the Reliability of Computing-in-Memory Accelerators for Deep Neural Networks. CoRR abs/2205.13018 (2022) - [i34]Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi:
Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous? CoRR abs/2207.07626 (2022) - [i33]Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu:
Associative Memory Based Experience Replay for Deep Reinforcement Learning. CoRR abs/2207.07791 (2022) - [i32]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR abs/2207.12188 (2022) - [i31]Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen:
Data-Driven Deep Supervision for Skin Lesion Classification. CoRR abs/2209.01527 (2022) - [i30]Jing Gong, Hassaan Saadat, Hasindu Gamaarachchi, Haris Javaid, Xiaobo Sharon Hu, Sri Parameswaran:
ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference. CoRR abs/2209.04161 (2022) - [i29]Yixin Xu, Zijian Zhao, Yi Xiao, Tongguang Yu, Halid Mulaosmanovic, Dominik Kleimaier, Stefan Dünkel, Sven Beyer, Xiao Gong, Rajiv V. Joshi, X. Sharon Hu, Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti, Eric Homan, Sumitha George, Vijaykrishnan Narayanan, Kai Ni:
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. CoRR abs/2212.00089 (2022) - 2021
- [j104]Rolf Ernst, Xiaobo Sharon Hu:
Autonomous Systems Design - A Virtual Roundtable. Computer 54(11): 17-25 (2021) - [j103]Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 392-403 (2021) - [j102]Yue Xi, Bin Gao, Jianshi Tang, An Chen, Meng-Fan Chang, Xiaobo Sharon Hu, Jan Van der Spiegel, He Qian, Huaqiang Wu:
In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective. Proc. IEEE 109(1): 14-42 (2021) - [j101]Liliana Cucu-Grosjean, Xiaobo Sharon Hu:
Guest editorial: Special issue on Real-Time Systems Symposium (RTSS). Real Time Syst. 57(3): 265-267 (2021) - [j100]Liying Li, Junlong Zhou, Tongquan Wei, Mingsong Chen, Xiaobo Sharon Hu:
Learning-Based Modeling and Optimization for Real-Time System Availability. IEEE Trans. Computers 70(4): 581-594 (2021) - [j99]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) - [j98]Bi Wu, Zhaohao Wang, Yuxuan Li, Ying Wang, Dijun Liu, Weisheng Zhao, Xiaobo Sharon Hu:
A NAND-SPIN-Based Magnetic ADC. IEEE Trans. Circuits Syst. II Express Briefs 68(2): 617-621 (2021) - [j97]Tianyu Zhang, Tao Gong, Song Han, Qingxu Deng, Xiaobo Sharon Hu:
Fully Distributed Packet Scheduling Framework for Handling Disturbances in Lossy Real-Time Wireless Networks. IEEE Trans. Mob. Comput. 20(2): 502-518 (2021) - [c211]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. ASP-DAC 2021: 49-54 - [c210]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 - [c209]Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu, Yiyu Shi:
Uncertainty Modeling of Emerging Device based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search. ASP-DAC 2021: 859-864 - [c208]Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
INVITED: kCC-Net for Compression of Biomedical Image Segmentation Networks. DAC 2021: 1343-1346 - [c207]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. DATE 2021: 306-311 - [c206]Mengyuan Li, Xiaobo Sharon Hu:
A Quantization Framework for Neural Network Adaption at the Edge. DATE 2021: 402-407 - [c205]Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu:
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. DATE 2021: 1084-1089 - [c204]Ann Franchesca Laguna, Arman Kazemi, Michael T. Niemier, X. Sharon Hu:
In-Memory Computing based Accelerator for Transformer Networks for Long Sequences. DATE 2021: 1839-1844 - [c203]Xiaolong Guo, Song Han, X. Sharon Hu, Xun Jiao, Yier Jin, Fanxin Kong, Michael Lemmon:
Towards scalable, secure, and smart mission-critical IoT systems: review and vision. EMSOFT 2021: 1-10 - [c202]Mingdai Yang, Mohammad Reza Jokar, Junyi Qiu, Qiuwen Lou, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, Yanjing Li:
A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals. ACM Great Lakes Symposium on VLSI 2021: 271-276 - [c201]Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael T. Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. ICCAD 2021: 1-8 - [c200]Ramin Rajaei, Michael T. Niemier, Xiaobo Sharon Hu:
Low-Cost Sequential Logic Circuit Design Considering Single Event Double-Node Upsets and Single Event Transients. ICCD 2021: 178-185 - [c199]Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation. ISBI 2021: 453-457 - [c198]Arman Kazemi, Shubham Sahay, Ayush Saxena, Mohammad Mehdi Sharifi, Michael T. Niemier, X. Sharon Hu:
A Flash-Based Multi-Bit Content-Addressable Memory with Euclidean Squared Distance. ISLPED 2021: 1-6 - [c197]Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani:
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. ISLPED 2021: 1-6 - [c196]Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato:
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. ISLPED 2021: 1-6 - [c195]