AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. - Thierry Tambe; En-Yu Yang; Zishen Wan; Yuntian Deng; Vijay Janapa Reddi; Alexander M. Rush; David Brooks 001; Gu-Yeon Wei (CoRR, 2019)

Quantized Reinforcement Learning (QUARL). - Srivatsan Krishnan; Sharad Chitlangia; Maximilian Lam; Zishen Wan; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. - Thierry Tambe; En-Yu Yang; Zishen Wan; Yuntian Deng; Vijay Janapa Reddi; Alexander M. Rush; David Brooks 001; Gu-Yeon Wei (DAC, 2020)

The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (IEEE Comput. Archit. Lett., 2020)

A Survey of FPGA-Based Robotic Computing. - Zishen Wan; Bo Yu 014; Thomas Yuang Li; Jie Tang 003; Yuhao Zhu 001; Yu Wang; Arijit Raychowdhury; Shaoshan Liu (CoRR, 2020)

iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. - Tian Gao; Zishen Wan; Yuyang Zhang; Bo Yu 014; Yanjun Zhang; Shaoshan Liu; Arijit Raychowdhury (AICAS, 2021)

An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. - Zishen Wan; Yuyang Zhang; Arijit Raychowdhury; Bo Yu 014; Yanjun Zhang; Shaoshan Liu (AICAS, 2021)

Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. - Zishen Wan; Aqeel Anwar; Yu-Shun Hsiao; Tianyu Jia; Vijay Janapa Reddi; Arijit Raychowdhury (DAC, 2021)

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (CoRR, 2021)

MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. - Yu-Shun Hsiao; Zishen Wan; Tianyu Jia; Radhika Ghosal; Arijit Raychowdhury; David Brooks 001; Gu-Yeon Wei; Vijay Janapa Reddi (CoRR, 2021)

AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. - Srivatsan Krishnan; Thierry Tambe; Zishen Wan; Vijay Janapa Reddi (CoRR, 2021)

Robotic Computing on FPGAs - Shaoshan Liu; Zishen Wan; Bo Yu 014; Yu Wang (Morgan & Claypool Publishers, 2021)

Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. - Zishen Wan; Ashwin Sanjay Lele; Bo Yu 014; Shaoshan Liu; Yu Wang; Vijay Janapa Reddi; Cong Hao; Arijit Raychowdhury (AICAS, 2022)

Circuit and System Technologies for Energy-Efficient Edge Robotics: (Invited Paper). - Zishen Wan; Ashwin Sanjay Lele; Arijit Raychowdhury (ASP-DAC, 2022)

An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. - Qiang Liu 011; Zishen Wan; Bo Yu 014; Weizhuang Liu; Shaoshan Liu; Arijit Raychowdhury (CICC, 2022)

Improving compute in-memory ECC reliability with successive correction. - Brian Crafton; Zishen Wan; Samuel Spetalnick; Jong-Hyeok Yoon; Wei Wu; Carlos Tokunaga; Vivek De; Arijit Raychowdhury (DAC, 2022)

FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. - Zishen Wan; Aqeel Anwar; Abdulrahman Mahmoud; Tianyu Jia; Yu-Shun Hsiao; Vijay Janapa Reddi; Arijit Raychowdhury (DATE, 2022)

Analyzing and Improving Resilience and Robustness of Autonomous Systems. - Zishen Wan; Karthik Swaminathan; Pin-Yu Chen; Nandhini Chandramoorthy; Arijit Raychowdhury (ICCAD, 2022)

Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Ninad Jadhav; Aleksandra Faust; Vijay Janapa Reddi (ISPASS, 2022)

Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (MICRO, 2022)

Circuit and System Technologies for Energy-Efficient Edge Robotics. - Zishen Wan; Ashwin Sanjay Lele; Arijit Raychowdhury (CoRR, 2022)

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. - Srivatsan Krishnan; Max Lam; Sharad Chitlangia; Zishen Wan; Gabriel Barth-Maron; Aleksandra Faust; Vijay Janapa Reddi (Trans. Mach. Learn. Res., 2022)

BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. - Zishen Wan; Nandhini Chandramoorthy; Karthik Swaminathan; Pin-Yu Chen; Vijay Janapa Reddi; Arijit Raychowdhury (DAC, 2023)

Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. - Kshitij Bhardwaj; Zishen Wan; Arijit Raychowdhury; Ryan A. Goldhahn (DATE, 2023)

MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. - Yu-Shun Hsiao; Zishen Wan; Tianyu Jia; Radhika Ghosal; Abdulrahman Mahmoud; Arijit Raychowdhury; David Brooks 001; Gu-Yeon Wei; Vijay Janapa Reddi (DATE, 2023)

SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. - Shengxi Shou; Che-Kai Liu; Sanggeon Yun; Zishen Wan; Kai Ni 004; Mohsen Imani; X. Sharon Hu; Jianyi Yang 003; Cheng Zhuo; Xunzhao Yin (ICCAD, 2023)

A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking. - 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 (ISSCC, 2023)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - 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 001; et al. (CoRR, 2023)

Scaling Compute Is Not All You Need for Adversarial Robustness. - Edoardo Debenedetti; Zishen Wan; Maksym Andriushchenko; Vikash Sehwag; Kshitij Bhardwaj; Bhavya Kailkhura (CoRR, 2023)

ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. - Yuhui Hao; Yiming Gan; Bo Yu 014; Qiang Liu 011; Yinhe Han 001; Zishen Wan; Shaoshan Liu (ASPLOS (2), 2024)

MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. - Zishen Wan; Nandhini Chandramoorthy; Karthik Swaminathan; Pin-Yu Chen; Kshitij Bhardwaj; Vijay Janapa Reddi; Arijit Raychowdhury (ASPLOS (2), 2024)

Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. - Mohamed Ibrahim 002; Zishen Wan; Haitong Li; Priyadarshini Panda; Tushar Krishna; Pentti Kanerva; Yiran Chen 001; Arijit Raychowdhury (CODES+ISSS, 2024)

Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. - Akshat Ramachandran; Zishen Wan; Geonhwa Jeong; John Gustafson; Tushar Krishna (DAC, 2024)

H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. - Zishen Wan; Che-Kai Liu; Mohamed Ibrahim 002; Hanchen Yang; Samuel Spetalnick; Tushar Krishna; Arijit Raychowdhury (DATE, 2024)

Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems. - Zishen Wan; Yuhang Du; Mohamed Ibrahim 002; Yang (Katie) Zhao; Tushar Krishna; Arijit Raychowdhury (ICCAD, 2024)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - 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 001; Stefan Rass; et al. (ICRA, 2024)

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Ritik Raj; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Ananda Samajdar; Yingyan Celine Lin; Tushar Krishna; Arijit Raychowdhury (ISPASS, 2024)

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Tushar Krishna; Yingyan Lin; Arijit Raychowdhury (CoRR, 2024)

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Ritik Raj; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Sixu Li; Youbin Kim; Ananda Samajdar; Yingyan Celine Lin; et al. (CoRR, 2024)

VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines. - Zishen Wan; Yiming Gan; Bo Yu 014; Shaoshan Liu; Arijit Raychowdhury; Yuhao Zhu 001 (CoRR, 2024)

A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Event-Based Target Identification and Tracking. - 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 (IEEE J. Solid State Circuits, 2024)

Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs. - Yu-Shun Hsiao; Zishen Wan; Tianyu Jia; Radhika Ghosal; Abdulrahman Mahmoud; Arijit Raychowdhury; David Brooks 001; Gu-Yeon Wei; Vijay Janapa Reddi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

The Vulnerability-Adaptive Protection Paradigm. - Zishen Wan; Yiming Gan; Bo Yu 014; Shaoshan Liu; Arijit Raychowdhury; Yuhao Zhu 001 (Commun. ACM, 2024)

OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. - Peiqing Chen; Minghao Li 003; Zishen Wan; Yu-Shun Hsiao; Minlan Yu; Vijay Janapa Reddi; Zaoxing Liu (ASPLOS (2), 2025)

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. - Zishen Wan; Yuhang Du; Mohamed Ibrahim 002; Jiayi Qian; Jason Jabbour; Yang (Katie) Zhao; Tushar Krishna; Arijit Raychowdhury; Vijay Janapa Reddi (ASPLOS (2), 2025)

CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. - Zishen Wan; Hanchen Yang; Ritik Raj; Che-Kai Liu; Ananda Samajdar; Arijit Raychowdhury; Tushar Krishna (HPCA, 2025)

Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory. - Ying-Hao Wei; Zishen Wan; Brian Crafton; Samuel Spetalnick; Arijit Raychowdhury (ISCAS, 2025)

SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. - Ritik Raj; Sarbartha Banerjee; Nikhil Chandra; Zishen Wan; Jianming Tong; Ananda Samajdhar; Tushar Krishna (ISPASS, 2025)

Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. - Zishen Wan; Jiayi Qian; Yuhang Du; Jason Jabbour; Yilun Du; Yang Zhao 013; Arijit Raychowdhury; Tushar Krishna; Vijay Janapa Reddi (ISPASS, 2025)

Efficient Processing of Neuro-Symbolic AI: A Tutorial and Cross-Layer Co-Design Case Study. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Ritik Raj; Arijit Raychowdhury; Tushar Krishna (NeuS, 2025)

Sipping Matcha of Security: A Fireside Chat With Mengjia Yan. - Jianming Tong; Zishen Wan (IEEE Micro, 2025)

ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. - Tong Xie; Jiawang Zhao; Zishen Wan; Zuodong Zhang; Yuan Wang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2025)

ADDT - A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems. - Bo Yu 014; Chaoran Yuan; Zishen Wan; Jie Tang 003; Fadi Kurdahi; Shaoshan Liu (CoRR, 2025)

HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing. - Md Mizanur Rahaman Nayan; Che-Kai Liu; Zishen Wan; Arijit Raychowdhury; Azad J. Naeemi (CoRR, 2025)

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. - Hanchen Yang; Zishen Wan; Ritik Raj; Joongun Park; Ziwei Li; Ananda Samajdar; Arijit Raychowdhury; Tushar Krishna (CoRR, 2025)

Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration. - Shuting Du; Mohamed Ibrahim 002; Zishen Wan; Luqi Zheng; Boheng Zhao; Zhenkun Fan; Che-Kai Liu; Tushar Krishna; Arijit Raychowdhury; Haitong Li (CoRR, 2025)