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2020 – today
- 2025
[j6]Jianming Tong
, Zishen Wan:
Sipping Matcha of Security: A Fireside Chat With Mengjia Yan. IEEE Micro 45(3): 103-107 (2025)- [c32]Peiqing Chen, Minghao Li, Zishen Wan, Yu-Shun Hsiao, Minlan Yu, Vijay Janapa Reddi, Zaoxing Liu:
OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. ASPLOS (2) 2025: 704-718 - [c31]Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang (Katie) Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi:
ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. ASPLOS (2) 2025: 982-997 - [c30]Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna:
CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. HPCA 2025: 775-789 - [c29]Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury:
Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory. ISCAS 2025: 1-5 - [c28]Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi:
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. ISPASS 2025: 26-37 - [c27]Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdhar, Tushar Krishna:
SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. ISPASS 2025: 186-200 - [c26]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Arijit Raychowdhury, Tushar Krishna:
Efficient Processing of Neuro-Symbolic AI: A Tutorial and Cross-Layer Co-Design Case Study. NeuS 2025: 490-504 - [i33]Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury:
Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory. CoRR abs/2502.05948 (2025) - [i32]Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna:
CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. CoRR abs/2503.01162 (2025) - [i31]Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li:
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. CoRR abs/2503.24053 (2025) - [i30]Bo Yu, Chaoran Yuan, Zishen Wan, Jie Tang, Fadi Kurdahi, Shaoshan Liu:
ADDT - A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems. CoRR abs/2504.09461 (2025) - [i29]Md Mizanur Rahaman Nayan, Che-Kai Liu, Zishen Wan, Arijit Raychowdhury, Azad J. Naeemi:
HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing. CoRR abs/2504.14020 (2025) - [i28]Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdhar, Tushar Krishna:
SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis. CoRR abs/2504.15377 (2025) - [i27]Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Katie Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi:
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. CoRR abs/2504.18945 (2025) - [i26]Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna:
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. CoRR abs/2504.19323 (2025) - [i25]Shuting Du, Mohamed Ibrahim, Zishen Wan, Luqi Zheng, Boheng Zhao, Zhenkun Fan, Che-Kai Liu, Tushar Krishna, Arijit Raychowdhury, Haitong Li:
Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration. CoRR abs/2508.14245 (2025) - 2024
- [j5]Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu:
The Vulnerability-Adaptive Protection Paradigm. Commun. ACM 67(9): 66-77 (2024) - [j4]Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Shota Konno, Zishen Wan, Ashwin Bhat, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury:
A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Event-Based Target Identification and Tracking. IEEE J. Solid State Circuits 59(1): 52-64 (2024) - [j3]Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1037-1050 (2024) - [c25]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury:
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) 2024: 746-762 - [c24]Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu:
ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. ASPLOS (2) 2024: 813-829 - [c23]Mohamed Ibrahim, Zishen Wan, Haitong Li, Priyadarshini Panda, Tushar Krishna, Pentti Kanerva, Yiran Chen, Arijit Raychowdhury:
Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. CODES+ISSS 2024: 11-20 - [c22]Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna:
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. DAC 2024: 326:1-326:6 - [c21]Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury:
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. DATE 2024: 1-6 - [c20]Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang (Katie) Zhao, Tushar Krishna, Arijit Raychowdhury:
Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems. ICCAD 2024: 2:1-2:7 - [c19]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 2024: 8288-8297 - [c18]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury:
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS 2024: 268-279 - [i24]Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury:
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR abs/2401.01040 (2024) - [i23]Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna:
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. CoRR abs/2403.05465 (2024) - [i22]Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury:
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. CoRR abs/2404.04173 (2024) - [i21]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury:
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. CoRR abs/2409.13153 (2024) - [i20]Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu:
VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines. CoRR abs/2409.19892 (2024) - 2023
- [c17]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC 2023: 1-6 - [c16]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. DATE 2023: 1-2 - [c15]Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. DATE 2023: 1-6 - [c14]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 - [c13]Muya Chang, Ashwin Sanjay Lele, Samuel D. Spetalnick, Brian Crafton, Shota Konno, Zishen Wan, Ashwin Bhat, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury:
A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking. ISSCC 2023: 426-427 - [i19]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. CoRR abs/2306.16660 (2023) - [i18]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR abs/2307.10041 (2023) - [i17]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Alejandra Martínez-Fariña, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR abs/2309.09212 (2023) - [i16]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) - [i15]Edoardo Debenedetti, Zishen Wan, Maksym Andriushchenko, Vikash Sehwag, Kshitij Bhardwaj, Bhavya Kailkhura:
Scaling Compute Is Not All You Need for Adversarial Robustness. CoRR abs/2312.13131 (2023) - 2022
- [j2]Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi:
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c12]Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS 2022: 291-295 - [c11]Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury:
Circuit and System Technologies for Energy-Efficient Edge Robotics: (Invited Paper). ASP-DAC 2022: 275-280 - [c10]Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury:
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CICC 2022: 1-2 - [c9]Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury:
Improving compute in-memory ECC reliability with successive correction. DAC 2022: 745-750 - [c8]Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury:
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. DATE 2022: 430-435 - [c7]Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury:
Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD 2022: 102:1-102:9 - [c6]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi:
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. ISPASS 2022: 162-174 - [c5]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO 2022: 300-317 - [i14]Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury:
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CoRR abs/2202.08952 (2022) - [i13]Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury:
Circuit and System Technologies for Energy-Efficient Edge Robotics. CoRR abs/2202.11237 (2022) - [i12]Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury:
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. CoRR abs/2203.07276 (2022) - [i11]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi:
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. CoRR abs/2204.10898 (2022) - [i10]Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR abs/2205.07149 (2022) - 2021
- [b1]Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang:
Robotic Computing on FPGAs. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00643-2, pp. 1-218 - [c4]Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. AICAS 2021: 1-4 - [c3]Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. AICAS 2021: 1-4 - [c2]Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury:
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. DAC 2021: 841-846 - [i9]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR abs/2102.02988 (2021) - [i8]Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. CoRR abs/2104.00192 (2021) - [i7]Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. CoRR abs/2104.05112 (2021) - [i6]Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. CoRR abs/2105.12882 (2021) - [i5]Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi:
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. CoRR abs/2109.05683 (2021) - [i4]Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury:
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. CoRR abs/2111.04957 (2021) - 2020
- [j1]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Comput. Archit. Lett. 19(1): 38-42 (2020) - [c1]Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC 2020: 1-6 - [i3]Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu:
A Survey of FPGA-Based Robotic Computing. CoRR abs/2009.06034 (2020)
2010 – 2019
- 2019
- [i2]Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR abs/1909.13271 (2019) - [i1]Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi:
Quantized Reinforcement Learning (QUARL). CoRR abs/1910.01055 (2019)
Coauthor Index
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