Zishen Wan - RankMe

91 papers A* 12A 8B 4C 1Misc 1Journal 49Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. ASPLOS (2) Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li
2026	J	`jnl`	CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. CoRR Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li
2026	—	`conf`	Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures. ASPLOS (1) Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna
2026	J	`jnl`	GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon. CoRR Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi
2026	—	`conf`	HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases. ASP-DAC Pingqing Zheng, Jiayin Qin, Fuqi Zhang, Niraj Chitla, Zishen Wan, Shang Wu, Yu Kevin Cao, Caiwen Ding, Yang Katie Zhao
2026	A*	`conf`	REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. HPCA Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna
2026	J	`jnl`	REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. CoRR Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna
2026	J	`jnl`	SATA: Sparsity-Aware Scheduling for Selective Token Attention. CoRR Zhenkun Fan, Zishen Wan, Che-Kai Liu, Ashwin Sanjay Lele, Win-San Khwa, Bo Zhang, Meng-Fan Chang, Arijit Raychowdhury
2025	J	`jnl`	ADDT - A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems. CoRR Bo Yu, Chaoran Yuan, Zishen Wan, Jie Tang, Fadi J. Kurdahi, Shaoshan Liu
2025	J	`jnl`	ANNIE: Be Careful of Your Robots. CoRR Yiyang Huang, Zixuan Wang, Zishen Wan, Yapeng Tian, Haobo Xu, Yinhe Han, Yiming Gan
2025	C	`conf`	Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory. ISCAS Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury
2025	J	`jnl`	Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory. CoRR Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury
2025	A*	`conf`	CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. HPCA Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. CoRR Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration. CoRR Shuting Du, Mohamed Ibrahim, Zishen Wan, Luqi Zheng, Boheng Zhao, Zhenkun Fan, Che-Kai Liu, Tushar Krishna, Arijit Raychowdhury, Haitong Li
2025	J	`jnl`	Efficient Mixture-of-Agents Serving via Tree-Structured Routing, Adaptive Pruning, and Dependency-Aware Prefill-Decode Overlap. CoRR Zijun Wang, Yijiahao Qi, Hanqiu Chen, Zishen Wan, Gongjin Sun, Dongyang Li, Shuyi Pei, Cong Hao
2025	—	`conf`	Efficient Processing of Neuro-Symbolic AI: A Tutorial and Cross-Layer Co-Design Case Study. NeuS Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Arijit Raychowdhury, Tushar Krishna
2025	B	`conf`	Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. ISPASS Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
2025	J	`jnl`	Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. CoRR Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Katie Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
2025	A	`conf`	HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing. ICCAD Md Mizanur Rahaman Nayan, Che-Kai Liu, Zishen Wan, Arijit Raychowdhury, Azad J. Naeemi
2025	J	`jnl`	HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing. CoRR Md Mizanur Rahaman Nayan, Che-Kai Liu, Zishen Wan, Arijit Raychowdhury, Azad J. Naeemi
2025	—	`conf`	MemQuant: Towards Memory-aware Post-Training Quantization for Multimodal Transformers. AICAS Kazi Barria Nine, Foroozan Karimzadeh, Zishen Wan, Arijit Raychowdhury
2025	A*	`conf`	NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. DAC Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. CoRR Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	—	`conf`	OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. ASPLOS (2) Peiqing Chen, Minghao Li, Zishen Wan, Yu-Shun Hsiao, Minlan Yu, Vijay Janapa Reddi, Zaoxing Liu
2025	J	`jnl`	QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture. CoRR Shvetank Prakash, Andrew Cheng, Arya Tschand, Mark Mazumder, Varun Gohil, Jeffrey Jian Ma, Jason Yik, Zishen Wan, Jessica Quaye, Elisavet Lydia Alvanaki, Avinash Kumar, Chandrashis Mazumdar, Tuhin Khare, Alexander Ingare, Ikechukwu Uchendu, Radhika Ghosal, Abhishek Tyagi, Chenyu Wang, Andrea Mattia Garavagno, Sarah Gu, Alice Guo, Grace Hur, Luca P. Carloni, Tushar Krishna, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi
2025	A*	`conf`	RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. MICRO Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025	J	`jnl`	RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. CoRR Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao
2025	—	`conf`	ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. ASPLOS (2) Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi
2025	A*	`conf`	ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. DAC Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. CoRR Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2025	B	`conf`	SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. ISPASS Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna
2025	J	`jnl`	SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis. CoRR Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna
2025	J	`jnl`	Sipping Matcha of Security: A Fireside Chat With Mengjia Yan. IEEE Micro Jianming Tong, Zishen Wan
2025	J	`jnl`	Slm-mux: Orchestrating small language models for reasoning. CoRR Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du
2024	J	`jnl`	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 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
2024	A*	`conf`	Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. DAC Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024	J	`jnl`	Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. CoRR Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024	A	`conf`	H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. DATE Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury
2024	J	`jnl`	H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. CoRR Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury
2024	—	`conf`	MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury
2024	—	`conf`	ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. ASPLOS (2) Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu
2024	A*	`conf`	RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 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
2024	J	`jnl`	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. Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2024	Misc	`conf`	Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. CODES+ISSS Mohamed Ibrahim, Zishen Wan, Haitong Li, Priyadarshini Panda, Tushar Krishna, Pentti Kanerva, Yiran Chen, Arijit Raychowdhury
2024	J	`jnl`	The Vulnerability-Adaptive Protection Paradigm. Commun. ACM Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu
2024	A	`conf`	Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems. ICCAD Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury
2024	B	`conf`	Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS 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
2024	J	`jnl`	Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury
2024	J	`jnl`	Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. CoRR 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
2024	J	`jnl`	Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. IEEE Trans. Circuits Syst. Artif. Intell. Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury
2024	J	`jnl`	VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines. CoRR Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu
2023	—	`conf`	A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking. ISSCC 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
2023	A*	`conf`	BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023	J	`jnl`	BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023	A	`conf`	MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. DATE Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2023	A	`conf`	Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. DATE Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn
2023	J	`jnl`	Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. CoRR Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn
2023	J	`jnl`	RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR 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
2023	A	`conf`	SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. ICCAD Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin
2023	J	`jnl`	SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search. CoRR Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin
2023	J	`jnl`	Scaling Compute Is Not All You Need for Adversarial Robustness. CoRR Edoardo Debenedetti, Zishen Wan, Maksym Andriushchenko, Vikash Sehwag, Kshitij Bhardwaj, Bhavya Kailkhura
2022	—	`conf`	An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CICC Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury
2022	J	`jnl`	An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CoRR Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury
2022	A	`conf`	Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury
2022	A*	`conf`	Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2022	J	`jnl`	Circuit and System Technologies for Energy-Efficient Edge Robotics. CoRR Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury
2022	—	`conf`	Circuit and System Technologies for Energy-Efficient Edge Robotics: (Invited Paper). ASP-DAC Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury
2022	A	`conf`	FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. DATE Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury
2022	J	`jnl`	FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. CoRR Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury
2022	A*	`conf`	Improving compute in-memory ECC reliability with successive correction. DAC Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury
2022	J	`jnl`	QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi
2022	—	`conf`	Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
2022	J	`jnl`	Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
2022	B	`conf`	Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. ISPASS Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi
2022	J	`jnl`	Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. CoRR Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi
2021	—	`conf`	An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. AICAS Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu
2021	J	`jnl`	An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. CoRR Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu
2021	A*	`conf`	Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. DAC Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
2021	J	`jnl`	Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. CoRR Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
2021	J	`jnl`	AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. CoRR Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi
2021	J	`jnl`	MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. CoRR Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2021	J	`jnl`	Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2021	—	`book`	Robotic Computing on FPGAs Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang
2021	—	`conf`	iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. AICAS Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury
2021	J	`jnl`	iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. CoRR Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury
2020	J	`jnl`	A Survey of FPGA-Based Robotic Computing. CoRR Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu
2020	A*	`conf`	Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	J	`jnl`	The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Comput. Archit. Lett. Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2019	J	`jnl`	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2019	J	`jnl`	Quantized Reinforcement Learning (QUARL). CoRR Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi