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<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>Zishen Wan</title>
<meta name="author" content="Zishen Wan">
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<body>
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<p style="text-align:center">
<name>Zishen Wan</name> 
<img src='images/name2.png' width="130" align="absbottom">
</p>
<p>I am a 5th-year Ph.D. student at Georgia Tech, advised by <a href="https://www.ece.gatech.edu/faculty-staff-directory/arijit-raychowdhury">Prof. Arijit Raychowdhury</a> and <a href="https://tusharkrishna.ece.gatech.edu">Prof. Tushar Krishna</a>. I also closely work with <a href="https://scholar.harvard.edu/vijay-janapa-reddi">Prof. Vijay Janapa Reddi</a>. My research interests are in computer architecture and VLSI, with a focus on designing efficient and reliable hardware and systems for autonomous machines and cognitive intelligence.
</p>
<p>I received M.S. from Harvard University where I was advised by <a href="https://scholar.harvard.edu/vijay-janapa-reddi">Prof. Vijay Janapa Reddi</a>, and collaborated with
<a href="https://scholar.google.com/citations?user=vXHA_XYAAAAJ&hl=en">Prof. David Brooks</a> and <a href="https://scholar.google.com/citations?user=IR0yJB8AAAAJ&hl=en">Prof. Gu-Yeon Wei</a>. I received B.Eng. from Harbin Institute of Technology. I was a visiting student at MIT CSAIL, National Chiao Tung University, and National Tsing Hua University.
<p style="text-align:center">
<a href="https://scholar.google.com/citations?user=dt3ImqIAAAAJ&hl=en&oi=ao">Google Scholar</a>  / 
<a href="data/CV_Zishen_Wan.pdf">CV</a>  / 
<a href="https://www.linkedin.com/in/zishen-wan/">LinkedIn</a>  / 
<a href="https://github.com/zishenwan">GitHub</a>  / 
<a href="https://twitter.com/ZishenW">Twitter</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/zishen_photo.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/zishen_photo.png" class="hoverZoomLink"></a>
<br> Email:
<br> [email protected]
</td>
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<table style="width:101%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;margin:-25px 0px -25px 0px"><tbody>
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<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Research Interests</heading>
<p></p>
My research is at the intersection of VLSI, computer architecture, and embedded system. I conduct system-architecture-technology co-design for autonomous machines, cognitive and embodied AI, with the vision to advance their performance, efficiency, resilience, and trustworthiness.
<ul>
<li> <strong>System</strong>: <br>
<ul>
<li>
Resilient and Efficient Autonomous Machine Computing:
<em>
[<a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640420">ASPLOS'24a</a>]
[<a href="https://dl.acm.org/doi/pdf/10.1145/3647638">CACM'24</a>]
[<a href="https://ieeexplore.ieee.org/document/10315202">TCAD'23</a>]
[<a href="publication/dac23_berry.pdf">DAC'23</a>]
[<a href="http://prism.sejong.ac.kr/dossa-5/dossa_paper/paper5_VPP_Camera_Ready_Update.pdf">ISCA'23(W)</a>]
[<a href="https://arxiv.org/pdf/2306.16660.pdf">DATE'23a</a>]
[<a href="https://arxiv.org/pdf/2105.12882.pdf">DATE'23b</a>]
[<a href="https://arxiv.org/pdf/2204.10898.pdf">ISPASS'22</a>]
[<a href="publication/Wan2022ICCAD.pdf">ICCAD'22</a>]
[<a href="https://arxiv.org/pdf/2203.07276.pdf">DATE'22</a>]
[<a href="publication/ICML22.pdf">ICML'22(W)</a>]
[<a href="https://arxiv.org/pdf/2111.04957.pdf">DAC'21</a>]
[<a href="publication/CAL2020.pdf">CAL'20</a>]</em>
</li>
<li>
Co-Design for Edge Intelligence and Efficient AI:
<em>[<a href="https://harvard-edge.github.io/cs249r_book/">Book - TinyML</a>]
[<a href="https://arxiv.org/pdf/2403.05465.pdf">DAC'24</a>]
[<a href="https://arxiv.org/pdf/2312.13131.pdf">ICLR'24(W)</a>]
[<a href="https://openreview.net/forum?id=xwWsiFmUEs">TMLR'22</a>]
[<a href="publication/ICLR2021.pdf">ICLR'21(W)</a>]
[<a href="publication/DAC2020.pdf">DAC'20</a>]
[<a href="publication/SysML2020.pdf">MLSys'20(W)</a>]</em>
<br>
</li> </ul>
<li> <strong>Architecture</strong>: <br>
<ul>
<li>
Domain-Specific Architecture for Autonomous Machines:
<em>[<a href="https://link.springer.com/book/10.1007/978-3-031-01771-1">Book - Synthesis Lectures on Computer Architecture</a>]
[<a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640379">ASPLOS'24b</a>]
[<a href="https://arxiv.org/pdf/2309.09212.pdf">ICRA'24</a>]
[<a href="https://ieeexplore.ieee.org/document/9923818">MICRO'22</a>]
[<a href="https://arxiv.org/pdf/2202.08952.pdf">CICC'22</a>]
[<a href="https://arxiv.org/pdf/2205.07149.pdf">AICAS'22</a>]
[<a href="publication/ASPDAC2022.pdf">ASP-DAC'22</a>]
[<a href="publication/CAS2021.pdf">CAS-M'21</a>]
[<a href="https://arxiv.org/pdf/2104.00192.pdf">AICAS'21</a>]</em>
</li>
<li>
Neuro-Symbolic and Embodied AI:
<em>
[HPCA'25]
[ICCAD'24]
[<a href="publication/ESWEEK24_NSAI_LLM.pdf">ESWEEK'24</a>]
[<a href="publication/TCASAI24.pdf">TCASAI'24</a>]
[<a href="publication/ISPASS24_NSAI.pdf">ISPASS'24</a>]
[<a href="https://arxiv.org/pdf/2404.04173.pdf">DATE'24</a>]
[<a href="https://arxiv.org/pdf/2401.01040.pdf">MLSys'23(W)</a>]</em></li> </ul>
<li> <strong>Circuit & Technology</strong>: <br>
<ul>
<li>
In-Memory Computing and Non-Volatile Memory:
<em>
[<a href="https://dl.acm.org/doi/pdf/10.1145/3665898">JATS'24</a>]
[<a href="https://arxiv.org/pdf/2310.04940.pdf">ICCAD'23</a>]
[<a href="https://ieeexplore.ieee.org/abstract/document/10210581">JSSC'23</a>]
[<a href="https://ieeexplore.ieee.org/abstract/document/10067544">ISSCC'23</a>]
[<a href="https://dl.acm.org/doi/abs/10.1145/3489517.3530526">DAC'22</a>]
[<a href="http://nvmw.ucsd.edu/nvmw2022-program/nvmw2022-data/nvmw2022-paper45-final_version_your_extended_abstract.pdf">NVM'22(W)</a>]</em> </li>
</li> </ul></ul> A summary of our recent works on <a href="autonomous-machine-computing.html"><b>Autonomous Machine Computing</b></a>.
</td>
</tr>
</tbody></table>
<table style="width:101%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<td style="padding:20px;width:100%;vertical-align:middle">
<heading>News</heading>
<div style="height:500px;overflow-y:auto">
<p></p><ul>
<li> [Dec. 2024] <b style="color:#FF2400;">[Award]</b> I am selected as <a href="https://cocosys.ece.gatech.edu/2024/12/10/zishen-wan-research-scholar-spotlight-2/"><papertitle>Spotlight Research Scholar</papertitle></a> by DARPA SRC JUMP2.0 CoCoSys Center.</li>
<li> [Nov. 2024] <b style="color:#3EA055;">[Paper]</b> Our work "CogSys: Efficient Neurosymbolic Cognition System via Algorithm-Hardware Co-Design" accepted to <strong>HPCA 2025</strong>.</li>
<li> [Nov. 2024] <b style="color:#FF2400;">[Award]</b> I receive 3rd place in <strong>ACM SIGMICRO Student Research Competition</strong> at <strong>MICRO 2024</strong>.</li>
<li> [Nov. 2024] <b style="color:Orange;">[Talk]</b> I give talks on <a href="publication/MICRO24_RoboArch_Slide.pdf"><papertitle>Embodied Robotic Computing</papertitle></a> at MICRO RoboArch workshop and UCF, <a href="https://arxiv.org/pdf/2404.04173.pdf"><papertitle>Hetergeneous 3D Integration</papertitle></a> and <a href="publication/MICRO24_SRC_Neurosymbolic.pdf"><papertitle>Neurosymbolic System Co-design</papertitle></a> at Harvard Nano-Design Lab.</li>
<li> [Nov. 2024] <b style="color:Magenta;">[Book]</b> Our book <papertitle>Embodied AI Robotic Systems</papertitle></a> is released, exploring embodied AI from computing and system perspectives.
<li> [Sep. 2024] <b style="color:#FF2400;">[Award]</b> I receive <strong>Best Presentation Award</strong> at Semiconductor Research Corporation (<strong>SRC</strong>) <strong>TECHCON 2024</strong>.</li>
<li> [Aug. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/TCASAI24.pdf"><papertitle>Towards Efficient Neuro-Symbolic AI: From Workload Analysis to Hardware Arch</papertitle></a> accepted to <strong>IEEE TCASAI</strong>.</li>
<li> [Aug. 2024] <b style="color:Orange;">[Talk]</b> I give a talk on <a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640420"><papertitle>MulBERRY</papertitle></a> and <a href="https://dl.acm.org/doi/pdf/10.1145/3665898"><papertitle>CIM Adaptation</papertitle></a> at Lawrence Livermore National Laboratory.</li>
<li> [Aug. 2024] <b style="color:Orange;">[Talk]</b> I give a talk on "Demystifying Neuro-Symbolic AI Computing" at University of Minnesota, Twin Cities.</li>
<li> [Jul. 2024] <b style="color:#3EA055;">[Paper]</b> Our work "Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems" accepted to <strong>ICCAD 2024</strong>.</li>
<li> [May. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/ESWEEK24_NSAI_LLM.pdf"><papertitle>Neuro-Symbolic Architecture Meets LLMs: A Memory-Centric Perspective</papertitle></a> accepted to <strong>ESWEEK 2024</strong>.</li>
<li> [May. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://dl.acm.org/doi/pdf/10.1145/3665898"><papertitle>Benchmarking Test-Time DNN Adaptation at Edge with Compute-In-Memory</papertitle></a> accepted to <strong>ACM JATS</strong>.</li>
<li> [May. 2024] <b style="color:Orange;">[Talk]</b> <a href="https://arxiv.org/pdf/2404.04173.pdf"><papertitle>H3DFact</papertitle></a> and <a href="https://zishenwan.github.io"><papertitle>MemQuant</papertitle></a> selected into <strong>SRC TECHCON 2024</strong>; Presented our recent works in <a href="publication/ISPASS24_NSAI_Slide.pdf"><papertitle>neuro-symbolic AI</papertitle></a> and <a href="autonomous-machine-computing.html"><papertitle>autonomous machine computing</papertitle></a> at ASPLOS'24 EMC2 workshop, MLSys'24 YPS, Berkeley NeuS workshop, and SRC CoCoSys center.</li>
<li> [Apr. 2024] <b style="color:#FF2400;">[Award]</b> I am selected as <strong>2024 Cyber-Physical Systems Rising Star</strong>.</li>
<li> [Apr. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://dl.acm.org/doi/pdf/10.1145/3647638"><papertitle>The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines</papertitle></a> accepted to <strong>Communications of the ACM</strong>.</li>
<li> [Apr. 2024] <b style="color:#FF2400;">[Award]</b> Our team <a href="https://sites.gatech.edu/cipher-flit-fort/"><papertitle>CipherFlitFort</papertitle></a> is selected for Georgia Tech CREATE-X Award.</li>
<li> [Apr. 2024] <b style="color:#808080;">[Service]</b> I start to serve on the steering committee of Computer Architecture Student Association (CASA).</li>
<li> [Mar. 2024] <b style="color:#FF2400;">[Award]</b> I receive <strong>Best Poster Award</strong> at DARPA SRC JUMP2.0 Center for Co-Design of Cognitive Systems (CoCoSys).</li>
<li> [Mar. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/ISPASS24_NSAI.pdf"><papertitle>Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI</papertitle></a> accepted to <strong>ISPASS 2024</strong>.</li>
<li> [Feb. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2403.05465.pdf"><papertitle>Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings</papertitle></a> accepted to <strong>DAC 2024</strong>.</li>
<li> [Feb. 2024] <b style="color:#808080;">[Service]</b> I serve on the program committee of CAV@ASPLOS'24, artifact evaluation committee of ISCA'24, media team of ISSCC'24.</li>
<li> [Jan. 2024] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2309.09212.pdf"><papertitle>RobotPerf Benchmark</papertitle></a> accepted to <strong>ICRA 2024</strong>.</li>
<li> [Dec. 2023] <b style="color:Magenta;">[Book]</b> Our book <a href="https://harvard-edge.github.io/cs249r_book/">
<papertitle>Machine Learning Systems with TinyML</papertitle></a> is released. By the Community, For the Community. </li>
<li> [Dec. 2023] <b style="color:#FF2400;">[Award]</b> I receive <strong>Best Poster Award</strong> at 2023 IBM IEEE AI Compute Symposium.</li>
<li> [Nov. 2023] <b style="color:#3EA055;">[Paper]</b> Our two works <a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640420"><papertitle>MulBERRY</papertitle></a> and <a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640379"><papertitle>ORIANNA</papertitle></a> accepted to <strong>ASPLOS 2024</strong>.</li>
<li> [Nov. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2404.04173.pdf"><papertitle>H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations</papertitle></a> accepted to <strong>DATE 2024</strong>.</li>
<li> [Nov. 2023] <b style="color:#FF2400;">[Award]</b> I receive <strong>ISSCC 2024 Student Travel Award</strong>.</li>
<li> [Oct. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://ieeexplore.ieee.org/document/10315202"><papertitle>Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs</papertitle></a> accepted to <strong>IEEE TCAD</strong>.</li>
<li> [Sep. 2023] <b style="color:#FF2400;">[Award]</b> We release <a href="https://arxiv.org/pdf/2309.09212.pdf"><papertitle>RobotPerf Benchmark</papertitle></a> and win <strong>Best Paper Award</strong> at Robotics Benchmarking Workshop at <strong>IROS 2023</strong>.</li>
<li> [Aug. 2023] <b style="color:#808080;">[Service]</b> I serve on the Artifact Evaluation Committee of MICRO'23.</li>
<li> [Jul. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2310.04940.pdf"><papertitle>SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search</papertitle></a> accepted to <strong>ICCAD 2023</strong>.</li>
<li> [Jul. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://ieeexplore.ieee.org/abstract/document/10210581"><papertitle>A Heterogeneous RRAM In-memory and SRAM Near-memory SoC for Fused Frame and Event-based Target Identification and Tracking</papertitle></a> accepted to <strong>JSSC</strong>.</li>
<li> [May. 2023] <b style="color:#FF2400;">[Award]</b> I am selected as <strong>2023 ML and Systems Rising Star</strong>.</li>
<li> [May. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="http://prism.sejong.ac.kr/dossa-5/dossa_paper/paper5_VPP_Camera_Ready_Update.pdf"><papertitle>VPP: The Vulnerability-Proportional Protection Paradigm Towards Reliable Autonomous Machines</papertitle></a> accepted to 5th Domain Specific System Architecture (DOSSA-5) Workshop at <strong>ISCA 2023</strong>.</li>
<li> [May. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2401.01040.pdf"><papertitle>Towards Cognitive AI Systems: A Survey and Prospective on Neuro-Symbolic AI</papertitle></a> accepted to Next-Gen AI System Workshop at <strong>MLSys 2023</strong>.</li>
<li> [May. 2023] <b style="color:Orange;">[Talk]</b> I give invited talks and poster presentations on <a href="publication/ACM_SRC.pdf"><papertitle>Co-Design for Efficient and Resilient Autonomous Machine Computing</papertitle></a> at Georgia Tech EIC Lab, Georgia Tech Chips Day, CoCoSys Annual Review, CRNCH Annual Review, and CRIDC'23.</li>
<li> [Apr. 2023] <b style="color:#FF2400;">[Award]</b> I am awarded Georgia Tech <strong>Roger P. Webb Graduate Research Assistant Excellence Award</strong>.</li>
<li> [Apr. 2023] <b style="color:#808080;">[Service]</b> I serve on the Artifact Evaluation Committee of ISCA'23, Reviewer of IEEE TBioCAS.</li>
<li> [Feb. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/dac23_berry.pdf"><papertitle>BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems</papertitle></a> accepted to <strong>DAC 2023</strong>.</li>
<li> [Jan. 2023] <b style="color:#FF2400;">[Award]</b> Our work <a href="https://ieeexplore.ieee.org/document/9923818"><papertitle>AutoPilot</papertitle></a> is selected as Honorable Mention in <strong>IEEE Micro Top Picks 2023</strong>.</li>
<li> [Jan. 2023] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2306.16660.pdf"><papertitle>Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving</papertitle></a> accepted as Late Breaking Result in <strong>DATE 2023</strong>.</li>
<li> [Jan. 2023] <b style="color:#808080;">[Service]</b> I serve on the Technical Program Committee of DAC'23, Reviewer of IEEE TCAD, Steering Committee of IEEE Entrepreneurship China.</li>
<li> [Dec. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2105.12882.pdf"><papertitle>MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles</papertitle></a> accepted to <strong>DATE 2023</strong>.</li>
<li> [Nov. 2022] <b style="color:#FF2400;">[Award]</b> I received <strong>1st place</strong> in <strong>ACM/SIGBED Student Research Competition (SRC)</strong>.</li>
<li> [Oct. 2022] <b style="color:#808080;">[Service]</b> We founded MLPerf (MLCommons) Resilience and Robustness Research Working Group.</li>
<li> [Oct. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://ieeexplore.ieee.org/abstract/document/10067544"><papertitle>A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking</papertitle></a> accepted to <strong>ISSCC 2023</strong>.</li>
<li> [Oct. 2022] <b style="color:Orange;">[Talk]</b> I give a talk on "Efficient SW/HW Co-Design for Robotic Computing" at <strong>2022 IBM AI Compute Symposium</strong>.</li>
<li> [Sep. 2022] <b style="color:#FF2400;">[Award]</b> I am awarded <strong>Qualcomm Fellowship</strong>.</li>
<li> [Sep. 2022] <b style="color:#808080;">[Service]</b> I serve on the Artifact Evaluation Committee of ASPLOS'23, IISWC'22, MICRO'22, ASPLOS'22. Served on the Technical Program Committee of NPC'22</a>.
<li> [Jul. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/Wan2022ICCAD.pdf"><papertitle>Analyzing and Improving Resilience of Autonomous Systems</papertitle></a> accepted to <strong>ICCAD 2022</strong>.</li>
<li> [Jul. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://ieeexplore.ieee.org/document/9923818"><papertitle>Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles</papertitle></a> accepted to <strong>MICRO 2022</strong>.</li>
<li> [Jun. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://openreview.net/forum?id=xwWsiFmUEs"><papertitle>QuaRL: Quantization for Fast and Sustainable RL</papertitle></a> accepted to <strong>TMLR</strong>, featured by <a href="https://ai.googleblog.com/2022/09/quantization-for-fast-and.html"><papertitle>Google AI</papertitle></a>.</li>
<li> [Jun. 2022] <b style="color:Orange;">[Talk]</b> I give a talk on the plenary panel <a href="https://ieeecompsac.computer.org/2022/plenary-panel-reliability-of-autonomous-machines/"><papertitle>Reliability of Autonomous Machines</papertitle></a> at COMPSAC 2022.</li>
<li> [Apr. 2022] <b style="color:#FF2400;">[Award]</b> I am selected as <strong>DAC Young Fellow</strong> at DAC 2022.</li>
<li> [Apr. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2205.07149.pdf"><papertitle>Robotic Computing on FPGAs: Current Progress, Challenges, and Opportunities</papertitle></a> accepted to <strong>AICAS 2022</strong>.</li>
<li> [Mar. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2204.10898.pdf"><papertitle>Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles</papertitle></a> accepted to <strong>ISPASS 2022</strong>.</li>
<li> [Feb. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://dl.acm.org/doi/abs/10.1145/3489517.3530526"><papertitle>Improving Compute In-Memory ECC Reliability</papertitle></a> accepted to <strong>DAC 2022</strong>.</li>
<li> [Jan. 2022] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2202.08952.pdf"><papertitle>An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems</papertitle></a> accepted to <strong>CICC 2022</strong>.</li>
<li> [Jan. 2022] <b style="color:#FF2400;">[Award]</b> I am awarded <strong>CRNCH PhD Fellowship</strong>, supported by Center for Novel Computing Hierarchies.</li>
<li> [Jan. 2022] <b style="color:#3EA055;">[Paper]</b> Invited Paper <a href="publication/ASPDAC2022.pdf"><papertitle>Circuit and System Technologies for Efficient Edge Robotics</papertitle></a> appeared at <strong>ASP-DAC 2022</strong>.</li>
<li> [Dec. 2021] <b style="color:#FF2400;">[Award]</b> I am selected as <strong>DAC Young Fellow</strong>, and win <strong>Best Presentation Award</strong> at DAC 2021.</li>
<li> [Nov. 2021] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2203.07276.pdf"><papertitle>FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems</papertitle></a> accepted to <strong>DATE 2022</strong>.</li>
<li> [Nov. 2021] <b style="color:#FF2400;">[Award]</b> I win 4th place in ACM Student Research Competition at ICCAD 2021.</li>
<li> [Aug. 2021] <b style="color:Orange;">[Talk]</b> I give a talk on "Fault Analysis for Autonomous Machines Reliability" at Center for Brain-Inspired Computing (C-BRIC), a JUMP Research Center cosponsored by SRC and DARPA.</li>
<li> [Jun. 2021] <b style="color:Magenta;">[Book]</b> Our book <a href="https://www.morganclaypool.com/doi/abs/10.2200/S01101ED1V01Y202105CAC056">
<papertitle>Robotic Computing on FPGAs</papertitle></a> published in <strong>Synthesis Lectures on Computer Architecture</strong>. Some key observations of the book published as a <a href="publication/CAS2021.pdf"><papertitle>survey paper</papertitle></a> in IEEE CAS-M 2021.</li>
<li> [Apr. 2021] <b style="color:#3EA055;">[Paper]</b> Two papers <a href="https://arxiv.org/pdf/2104.00192.pdf">
<papertitle>An Energy-Efficient Visual System for Autonomous Machines on FPGA Platform</papertitle></a> and <a href="https://arxiv.org/pdf/2104.05112.pdf">
<papertitle>iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform</papertitle></a> accpted to <strong>AICAS 2021.</strong></li>
<li> [Mar. 2021] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/ICLR2021.pdf">
<papertitle>ActorQ: Quantization for Actor-Learner Distributed Reinforcement Learning</papertitle></a> accepted to <strong>ICLR HEAT Workshop 2021.</strong></li>
<li> [Feb. 2021] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2111.04957.pdf">
<papertitle>Analyzing and Improving Fault Tolerance of Navigation System</papertitle></a> accepted to <strong>DAC 2021</strong>.</li>
<li>[Dec. 2020] <b style="color:#FF2400;">[Award]</b> Paper <a href="publication/CAL2020.pdf">
<papertitle>The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines</papertitle>
</a> is selected as <strong> Best Paper of IEEE CAL</strong>, and will be presented in <strong>HPCA 2021</strong>.</li>
<li> [Dec. 2020] <b style="color:#3EA055;">[Paper]</b> Our work <a href="https://arxiv.org/pdf/2009.06034.pdf"><papertitle> A Survey of FPGA-Based Robotic Computing</papertitle>
</a> accepted to <strong>IEEE CAS-M 2021</strong>.</li>
<li> [Sept. 2020] <b style="color:Orange;">[Talk]</b> I give a talk at Georgia Tech Integrated Circuits and System Lab on "Edge Computing on Aerial Robots".</li>
<li> [Aug. 2020] I join Georgia Tech ECE Department for Ph.D., Go Jackets! </li>
<li> [Jul. 2020] <b style="color:#FF2400;">[Award]</b> Paper <a href="publication/DAC2020.pdf">
<papertitle>Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference</papertitle>
</a> wins <strong>Best Paper Award of DAC 2020</strong>.</li>
<li> [Jul. 2020] <b style="color:Orange;">[Talk]</b> I give a talk at Harvard VLSI-Arch Lab on "Micro Aerial Vehicle Fault Injection and Detection".</li>
<li> [May. 2020] I obtain M.S. from Harvard, thanks all!</li>
<li> [Mar. 2020] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/CAL2020.pdf">
<papertitle>The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines</papertitle>
</a> accepted to <strong>IEEE CAL</strong>.</li>
<li> [Feb. 2020] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/DAC2020.pdf">
<papertitle>Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference</papertitle>
</a> accepted to <strong>DAC 2020</strong>.
<li> [Jan. 2020] <b style="color:#3EA055;">[Paper]</b> Our work <a href="publication/SysML2020.pdf">
<papertitle>Quantized Reinforcement Learning (QuaRL)</papertitle>
</a> accepted to <strong>MLSys ReCoML Workshop 2020</strong>.</li></ul>
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<heading>Books</heading>
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<img src='images/RCF_book.png' width="170">
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<papertitle>Robotic Computing on FPGAs</papertitle>
<br>
<a href="https://scholar.google.com/citations?user=jpyq4QoAAAAJ&hl=en">Shaoshan Liu</a>,
<strong>Zishen Wan</strong>,
<a href="https://scholar.google.com/citations?hl=en&user=Pqz2TE4AAAAJ">Bo Yu</a>,
<a href="https://scholar.google.com/citations?user=j8JGVvoAAAAJ&hl=en">Yu Wang</a>
<br>
Editor: Natalie Enright Jerger
<br>
<em>Synthesis Lectures on Computer Architecture (Morgan & Claypool Publishers)</em>, pp.1-218, Jun 2021
<br>
<a href="https://www.morganclaypool.com/doi/10.2200/S01101ED1V01Y202105CAC056">Book</a>
<br>
<p></p>
<p>This book provides a thorough overview of the state-of-the-art FPGA-based robotic computing accelerator designs and summarizes their adopted optimized techniques.
This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots. Some key observations of this book has been published as a <a href="publication/CAS2021.pdf">survey paper</a> in IEEE Circuits and Systems Magazine, 2021.</p>
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<papertitle>Machine Learning Systems with TinyML</papertitle>
<br>
<a href="https://scholar.google.com/citations?user=jpyq4QoAAAAJ&hl=en">Vijay Janapa Reddi</a>,
<a href="https://github.com/mpstewart1">Matthew Stewart</a>,
<a href="https://github.com/uchendui">Ikechukwu Uchendu</a>,
<a href="https://github.com/ishapira1">Itai Shapira</a>,
<a href="https://github.com/Mjrovai">Marcelo Rovai</a>,
<a href="https://github.com/jaysonzlin">Jayson Lin</a>,
<a href="https://github.com/18jeffreyma">Jeffrey Ma</a>,
<a href="https://github.com/korneelf1">Korneel Van den Berghe</a>,
<strong>Zishen Wan</strong>,
<a href="https://github.com/srivatsankrishnan">Srivatsan Krishnan</a>,
<a href="https://github.com/ShvetankPrakash">Shvetank Prakash</a>,
<a href="https://github.com/mmaz">Mark Mazumder</a>,
<a href="https://github.com/colbybanbury">Colby Banbury</a>,
<a href="https://github.com/jasonlyik">Jason Yik</a>,
<a href="https://github.com/jessicaquaye">Jessica Quaye</a>, ...
<a href="https://harvard-edge.github.io/cs249r_book/contents/contributors.html">(contributor list)</a>
<br>
<a href="https://harvard-edge.github.io/cs249r_book/">Book</a> /
<a href="https://github.com/harvard-edge/cs249r_book">Github</a>
<br>
<p></p>
<p>This book is your gateway to the fast-paced world of AI systems through the lens of TinyML. This book aims to demystify the process of developing complete ML systems suitable for deployment - spanning key phases like data collection, model design, optimization, acceleration, security hardening, and integration.
Crucial systems considerations like reliability, privacy, responsible AI, and solution validation are also explored in depth. This book is led by Prof. Vijay Janapa Reddi and resonates with Harvard TinyML course. Join us in this open-source collective effort - by the community, with the community, for the community.</p>
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<papertitle>Embodied AI Robotic Systems</papertitle>
<br>
<a href="https://scholar.google.com/citations?user=d-1MZhIAAAAJ&hl=en">Yiming Gan</a>,
<a href="https://scholar.google.com/citations?hl=en&user=Pqz2TE4AAAAJ">Bo Yu</a>,
<strong>Zishen Wan</strong>,
<a href="https://scholar.google.com/citations?user=jpyq4QoAAAAJ&hl=en">Shaoshan Liu</a>
<br>
<em>Publishing House of Electronics Industry</em>, pp.1-224, Nov 2024
<br>
<a href="https://phei.com.cn/module/wap/sbookcd.jsp?goodid=66017">Book (In Chinese)</a>
<br>
<p>This book provides a comprehensive overview of state-of-the-art embodied AI robotic systems, advancing toward artificial general intelligence. It comprises 14 chapters.
Part 1 (chapters 1-2) introduces embodied AI robots background and recent developments.
Part 2 (chapters 3-6) explores key systems for embodied robots, including perception, localization, planning, and control.
Part 3 (chapters 7-9) deeps dive into LLMs for robotic frameworks.
Part 4 (chapters 10-13) discusses efficiency, robustness, safety, and data challenges in embodied AI, along with solutions.
Part 5 (chapter 14) demonstrates embodied robotic applications.</p>
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<heading>PrePrint</heading>
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<papertitle>Intelligence in Robotic Computing: Agile Design Flows for Building Efficient and Resilient Autonomous Machines</papertitle>
<br>
<strong>Zishen Wan</strong>,
<a href="https://scholar.harvard.edu/vijay-janapa-reddi">Vijay Janapa Reddi</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>
<br>
<em>ACM Student Research Competition (SRC), Grand Final, 2023</em>
<br><font color="red"><strong>First Place, ACM/SIGBED Student Research Competition (SRC)</strong></font><br>
<a href="publication/ACM_SRC.pdf">Paper</a> /
<a href="publication/MICRO24_RoboArch_Slide.pdf">Slide</a> /
<a href="https://ece.gatech.edu/news/2023/12/wan-wins-computing-machinery-student-research-competition">Media</a> /
<a href="https://ece.gatech.edu/news/2023/12/wan-selected-machine-learning-and-systems-rising-star">Media</a>
<br>
<p></p>
<p>This report summarizes our recent efforts in facilitating the development of scalable, efficient, adaptive, and reliable autonomous machine computing, including automatic domain-specific SoC exploration, software-hardware co-design, and performance-efficiency-resilience co-optimization.</p>
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<heading>Publications</heading>       (*: Equal Contributions)
</td>
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<papertitle>Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture</papertitle>
<br>
<strong>Zishen Wan</strong>,
<a href="https://che-kai.github.io/">Che-Kai Liu</a>,
<a href="https://www.linkedin.com/in/hancheny/">Hanchen Yang</a>,
<a href="https://www.linkedin.com/in/ritik-raj-04810b17b/">Ritik Raj</a>,
<a href="https://licj15.github.io">Chaojian Li</a>,
<a href="https://www.haoranyou.com">Haoran You</a>,
<a href="https://www.yongganfu.com">Yonggan Fu</a>,
<a href="https://sites.cc.gatech.edu/~cwan39/">Cheng Wan</a>,
<a href="http://lisixu.dev/">Sixu Li</a>,
<a href="https://scholar.google.com/citations?user=PpnL_0AAAAAJ&hl=en">Youbin Kim</a>,
<a href="https://anands09.github.io">Ananda Samajdar</a>,
<a href="https://eiclab.scs.gatech.edu/pages/team.html">Yingyan (Celine) Lin</a>,
<a href="https://mohamed-s-ibrahim.github.io">Mohamed Ibrahim</a>,
<a href="https://www.janrabaey.com">Jan M. Rabaey</a>,
<a href="https://scholar.google.com/citations?user=P__ztgcAAAAJ&hl=en">Tushar Krishna</a>,
<a href="https://scholar.google.com/citations?hl=en&user=lXUce-0AAAAJ">Arijit Raychowdhury</a>
<br>
<em>IEEE Transactions on Circuits and Systems for Artificial Intelligence (<strong>TCASAI</strong>)</em>, 2024
<br>
<a href="publication/TCASAI24.pdf">Paper</a> /
<a href="https://fortune.com/2024/12/09/neurosymbolic-ai-deep-learning-symbolic-reasoning-reliability/?khp389">Fortune News</a> /
<a href="https://cocosys.ece.gatech.edu/2024/12/10/zishen-wan-research-scholar-spotlight-2/">CoCoSys News</a>
<br>
<p>
We analyze the neuro-symbolic workload chracteristics, and present a hardware acceleration case study for vector-symbolic architecture to improve the performance, efficiency, and scalability of neuro-symbolic computing.</p>
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<papertitle>Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems</papertitle>
<br>
<strong>Zishen Wan</strong>,
<a href="https://zishenwan.github.io">Yuhang Du</a>,
<a href="https://mohamed-s-ibrahim.github.io">Mohamed Ibrahim</a>,
<a href="https://www.yangkatiezhao.net">Yang (Katie) Zhao</a>,
<a href="https://scholar.google.com/citations?user=P__ztgcAAAAJ&hl=en">Tushar Krishna</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>
<br>
<em>ACM/IEEE International Conference on Computer-Aided Design (<strong>ICCAD</strong>)</em>, 2024
<br>
Paper (To appear)
<br>
<p></p>
<p>We present a cognitive-inspired modular framework for cooperative embodied AI systems and identify the system inherent characteristics and optimization opportunities. Evaluated on long-horizon multi-objective tasks, our cross-layer optimization achieves an average 3.93x speedup in end-to-end task execution.</p>
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<papertitle>Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI</papertitle>
<br>
<strong>Zishen Wan</strong>,
<a href="https://che-kai.github.io/">Che-Kai Liu</a>,
<a href="https://www.linkedin.com/in/hancheny/">Hanchen Yang</a>,
<a href="https://www.linkedin.com/in/ritik-raj-04810b17b/">Ritik Raj</a>,
<a href="https://licj15.github.io">Chaojian Li</a>,
<a href="https://www.haoranyou.com">Haoran You</a>,
<a href="https://www.yongganfu.com">Yonggan Fu</a>,
<a href="https://sites.cc.gatech.edu/~cwan39/">Cheng Wan</a>,
<a href="https://anands09.github.io">Ananda Samajdar</a>,
<a href="https://eiclab.scs.gatech.edu/pages/team.html">Yingyan (Celine) Lin</a>,
<a href="https://scholar.google.com/citations?user=P__ztgcAAAAJ&hl=en">Tushar Krishna</a>,
<a href="https://scholar.google.com/citations?hl=en&user=lXUce-0AAAAJ">Arijit Raychowdhury</a>
<br>
<em>IEEE International Symposium on Performance Analysis of Systems and Software (<strong>ISPASS</strong>)</em>, 2024
<br><font color="red"><strong>Best Poster Award, DARPA SRC JUMP2.0 CoCoSys Center 2024</strong></font><br>
<a href="publication/ISPASS24_NSAI.pdf">Paper</a> / <a href="publication/ISPASS24_NSAI_Slide.pdf">Slide</a> / <a href="https://ece.gatech.edu/news/2024/03/cocosys-holds-second-annual-review">Media</a>
<br>
<p>
We systematically categorize neuro-symbolic AI workloads, conduct workload characterizations across hardware platforms, and identify cross-layer optimization opportunites for neuro-symbolic systems.</p>
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<papertitle>The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines</papertitle>
<br>
<strong>Zishen Wan</strong>*,
<a href="https://scholar.google.com/citations?user=d-1MZhIAAAAJ&hl=en">Yiming Gan*</a>,
<a href="https://scholar.google.com/citations?hl=en&user=Pqz2TE4AAAAJ">Bo Yu</a>,
<a href="https://scholar.google.com/citations?user=jpyq4QoAAAAJ&hl=en">Shaoshan Liu</a>,
<a href="https://scholar.google.com/citations?user=lXUce-0AAAAJ&hl=en">Arijit Raychowdhury</a>,
<a href="http://www.yuhaozhu.com">Yuhao Zhu</a>
<br>
<em>Communications of the ACM (<strong>CACM</strong>)</em>, 2024
<br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3647638">Paper</a> /
<a href="publication/CACM24_Reliability_AMC_Slide.pdf">Slide</a> /
<a href="https://www.linkedin.com/pulse/hallucination-vs-creativity-public-rfmge/?trackingId=9Sl1p22BQuayUgdjErJEmg%3D%3D">ACM News</a> /
<a href="https://ece.gatech.edu/news/2024/04/ece-benchmarking-making-major-advances-machine-learning">GT News</a>
<br>
<p></p>
<p>We characterize the inherent resilience of different compute kernels in autonomous vehicles and drones systems. We analyze the protection design landscape and propose the lightweight Vulnerable-Adaptive Protection (VAP) paradigm for resilient autonomous machines.</p>
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<papertitle>Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference</papertitle>
<br>
<a href="https://www.linkedin.com/in/akshat-ramachandran-3981951bb/">Akshat Ramachandran</a>,
<strong>Zishen Wan</strong>,
<a href="https://ghjeong12.github.io">Geonhwa Jeong</a>,
<a href="http://www.johngustafson.net">John Gustafson</a>,
<a href="https://scholar.google.com/citations?user=P__ztgcAAAAJ&hl=en">Tushar Krishna</a>
<br>
<em>ACM/IEEE Design Automation Conference (<strong>DAC</strong>)</em>, 2024
<br>
<a href="https://arxiv.org/pdf/2403.05465.pdf">Paper</a> /
<a href="https://github.com/georgia-tech-synergy-lab/LogarithmicPosit">Code</a>
<br>
<p></p>
<p>We present Logarithmic Posit, an adaptive and hardware-friendly datatype that dynamically adapts to DNN weight/activation distributions for efficient inference. We develop Logarithmic Posit quantization and Logarithmic Posit accelerator architecture via algorithm-hardware co-design.</p>
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<papertitle>MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems</papertitle>
<br>
<strong>Zishen Wan</strong>,
<a href="https://researcher.watson.ibm.com/researcher/view.php?person=ibm-Nandhini.Chandramoorthy">Nandhini Chandramoorthy</a>,
<a href="https://researcher.watson.ibm.com/researcher/view.php?person=us-kvswamin">Karthik Swaminathan</a>,
<a href="https://sites.google.com/site/pinyuchenpage/home">Pin-Yu Chen</a>,
<a href="https://scholar.google.com/citations?user=WZJ2k8MAAAAJ&hl=en">Kshitij Bhardwaj</a>,
<a href="https://scholar.harvard.edu/vijay-janapa-reddi">Vijay Janapa Reddi</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>
<br>
<em>ACM Inter Conf on Architectural Support for Programming Languages and Operating Systems (<strong>ASPLOS</strong>)</em>, 2024
<br><font color="red"><strong>Best Poster Award, IBM IEEE AI Compute Symposium 2023</strong></font><br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640420">Paper</a> /
<a href="publication/ASPLOS24_mulberry_slide.pdf">Slide</a> /
<a href="publication/ASPLOS24_mulberry_poster.pdf">Poster</a> /
<a href="https://www.youtube.com/watch?v=3GeRRpIac_Y">Lightning Talk</a> /
<a href="https://ece.gatech.edu/news/2024/01/wan-recognized-energy-saving-research-autonomous-systems">Media</a>
<br>
<p></p>
<p>We propose MulBERRY, a multi-agent robust learning framework to enhance bit error robustness and energy efficiency for autonomous swarm systems. </p>
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<papertitle>ORIANNA: An Accelerator Generation Framework for Optimization-Based Robotic Applications</papertitle>
<br>
<a href="https://zishenwan.github.io">Yuhui Hao</a>,
<a href="https://www.cs.rochester.edu/u/ygan10/">Yiming Gan</a>,
<a href="https://scholar.google.com/citations?hl=en&user=Pqz2TE4AAAAJ">Bo Yu</a>,
<a href="http://faculty.tju.edu.cn/QiangLiu/en/index.htm">Qiang Liu</a>,
<a href="https://ieeexplore.ieee.org/author/37280848500">Yinhe Han</a>,
<strong>Zishen Wan</strong>,
<a href="https://scholar.google.com/citations?user=jpyq4QoAAAAJ&hl=en">Shaoshan Liu</a>
<br>
<em>ACM Inter Conf on Architectural Support for Programming Languages and Operating Systems (<strong>ASPLOS</strong>)</em>, 2024
<br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3620665.3640379">Paper</a> /
<a href="https://www.youtube.com/watch?v=_nvEldQsL8w">Lightning Talk</a> /
<a href="publication/ASPLOS24_orianna_poster.pdf">Poster</a>
<br>
<p></p>
<p>We propose ORIANNA, a framework leverageing a common abstraction factor graph to generate accelerators for diverse robotic applications (e.g., manipulators, vehicles, drones) containing multiple optimization-based algorithms (e.g., localization, planning).</p>
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<papertitle>RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance</papertitle>
<br>
<a href="https://scholar.google.com/citations?user=AOMcUnMAAAAJ&hl=en">Victor Mayoral-Vilches</a>,
<a href="http://jabbourjason.com">Jason Jabbour</a>,
<a href="https://scholar.google.com/citations?user=2CwEc8MAAAAJ&hl=en">Yu-Shun Hsiao</a>,
<strong>Zishen Wan</strong>,
<a href="https://www.linkedin.com/in/alejandra-martinez-farina/?locale=en_US">Alejandra Martinez-Farina</a>,
<a href="https://www.linkedin.com/in/martino-crespo/">Martino Crespo-Alvarez</a>,
<a href="https://mpstewart.io">Matthew Stewart</a>,
<a href="https://www.linkedin.com/in/juan-manuel-reina-muñoz-56329b130/">Juan Manuel Reina-Munoz</a>,
<a href="https://www.linkedin.com/in/nagrasprateek/">Prateek Nagras</a>,
<a href="https://www.linkedin.com/in/gauravvikhe/">Gaurav Vikhe</a>,
<a href="https://scholar.google.com/citations?user=4pYIrKEAAAAJ&hl=en">Mohammad Bakhshalipour</a>,
<a href="https://scholar.google.com/citations?user=MTZ0l60AAAAJ&hl=en">Martin Pinzger</a>,
<a href="https://scholar.google.com/citations?hl=en&user=loSUysEAAAAJ">Stefan Rass</a>,
<a href="https://www.linkedin.com/in/smrutipanigrahi/">Smruti Panigrahi</a>,
<a href="https://www.linkedin.com/in/giulio-corradi-860b71b/?originalSubdomain=de">Giulio Corradi</a>,
<a href="https://www.linkedin.com/in/niladri/">Niladri Roy</a>,
<a href="https://scholar.google.com/citations?user=F9kqUXkAAAAJ&hl=en">Phillip B. Gibbons</a>,
<a href="https://scholar.harvard.edu/sneuman/home">Sabrina M. Neuman</a>,
<a href="https://brianplancher.com">Brian Plancher</a>,
<a href="https://scholar.harvard.edu/vijay-janapa-reddi">Vijay Janapa Reddi</a>
<br>
<em>IEEE International Conference on Robotics and Automation (<strong>ICRA</strong>)</em>, 2024
<br><font color="red"><strong>Best Paper Award, IROS Robotics Benchmarking Workshop 2023</strong></font><br>
<a href="https://arxiv.org/pdf/2309.09212">Paper</a> /
<a href="publication/RobotPerf_poster.pdf">Poster</a> /
<a href="https://github.com/robotperf/benchmarks">Code</a> /
<a href="https://robotperf.net">Project Page</a> /
<a href="https://www.therobotreport.com/robotperf-benchmarks-compare-robotics-computing-performance/">Media</a>
<br>
<p></p>
<p>We introduce RobotPerf, a benchmarking suite to evaluate robotics computing performance across a diverse range of hardware platforms. As an open-source initiative, RobotPerf remains committed to evolving with community input to advance the future of hardware-accelerated robotics.</p>
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<papertitle>H3DFACT: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations</papertitle>
<br>
<strong>Zishen Wan*</strong>,
<a href="https://che-kai.github.io">Che-Kai Liu*</a>,
<a href="https://mohamed-s-ibrahim.github.io">Mohamed Ibrahim</a>,
<a href="https://www.linkedin.com/in/hancheny/">Hanchen Yang</a>,
<a href="https://scholar.google.com/citations?user=pp2eO7UAAAAJ&hl=en">Samuel Spetalnick</a>,
<a href="https://scholar.google.com/citations?user=P__ztgcAAAAJ&hl=en">Tushar Krishna</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>
<br>
<em>Design, Automation and Test in Europe Conference (<strong>DATE</strong>)</em>, 2024
<br><font color="red"><strong>Best Presentation Award, SRC TECHCON 2024</strong></font><br>
<a href="https://arxiv.org/pdf/2404.04173.pdf">Paper</a> /
<a href="publication/DATE24_H3DFact_Slide.pdf">Slide</a> /
<a href="https://www.src.org/calendar/e007205/">SRC News</a> /
<a href="https://ece.gatech.edu/news/2024/10/ece-students-take-home-top-honors-techcon-2024">GT News</a>
<br>
<p></p>
<p>We present H3DFACT, the first heterogeneous 3D integrated in-memory compute engine capable of efficiently factorizing high-dimensional holographic representations towards next-generative cognitive AI.</p>
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<papertitle>Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective</papertitle>
<br>
<a href="https://mohamed-s-ibrahim.github.io">Mohamed Ibrahim</a>,
<strong>Zishen Wan</strong>,
<a href="https://engineering.purdue.edu/~haitongl/">Haitong Li</a>,
<a href="https://scholar.google.com/citations?user=qA5WsYUAAAAJ&hl=en">Priyadarshini Panda</a>,
<a href="https://scholar.google.com/citations?user=P__ztgcAAAAJ&hl=en">Tushar Krishna</a>,
<a href="https://redwood.berkeley.edu/people/pentti-kanerva/">Pentti Kanerva</a>,
<a href="https://scholar.google.com.sg/citations?user=3G-nnjMAAAAJ&hl=en">Yiran Chen</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>
<br>
<em>ACM/IEEE Embedded Systems Week (<strong>ESWEEK</strong>)</em>, 2024
<br>
<a href="publication/ESWEEK24_NSAI_LLM.pdf">Paper</a> / <a href="publication/ESWEEK24_slide.pdf">Slide</a>
<br>
<p></p>
<p>We analyze the computational chanllenges of integrating LLMs and neuro-symbolic architecture, and explore state-of-the-art solutions, focusing on the memory-centric computing principles at both algorithmic and hardware levels.</p>
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<papertitle>Benchmarking Test-Time DNN Adaptation at Edge with Compute-In-Memory</papertitle>
<br>
<a href="https://scholar.google.com/citations?user=wU1JzHoAAAAJ&hl=en">Zhenkun Fan*</a>,
<strong>Zishen Wan*</strong>,
<a href="https://che-kai.github.io">Che-Kai Liu</a>,
<a href="https://scholar.google.com/citations?user=unezYLEAAAAJ&hl=en&oi=ao">Anni Lu</a>,
<a href="https://scholar.google.com/citations?user=WZJ2k8MAAAAJ&hl=en">Kshitij Bhardwaj</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>
<br>
<em>ACM Journal on Autonomous Transportation Systems (<strong>JATS</strong>)</em>, 2024
<br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3665898">Paper</a> /
<a href="https://github.com/SenFFF/CIM_Adaptation/">Code</a>
<br>
<p></p>
<p>We present a benchmarking framework and conduct a comprehensive measurement study of prediction-time DNN adaptation techniques, encompassing both supervised and unsupervised approaches, on CIM hardware substrates at the edge.</p>
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<papertitle>Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis
Using Autonomous UAVs</papertitle>
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<a href="https://scholar.google.com/citations?user=2CwEc8MAAAAJ&hl=en">Yu-Shun Hsiao*</a>,
<strong>Zishen Wan*</strong>,
<a href="http://scholar.pku.edu.cn/tianyujia">Tianyu Jia</a>,
<a href="https://www.kharghoshal.xyz">Radhika Ghosal</a>,
<a href="https://ma3mool.github.io">Abdulrahman Mahmoud</a>,
<a href="https://scholar.google.com/citations?user=Uug6p-AAAAAJ&hl=en">Arijit Raychowdhury</a>,
<a href="https://scholar.google.com/citations?user=vXHA_XYAAAAJ&hl=en">David Brooks</a>,
<a href="https://scholar.google.com/citations?user=IR0yJB8AAAAJ&hl=en">Gu-Yeon Wei</a>,
<a href="https://scholar.harvard.edu/vijay-janapa-reddi">Vijay Janapa Reddi</a>
<br>
<em>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (<strong>TCAD</strong>)</em>, 2023
<br>
<a href="https://ieeexplore.ieee.org/document/10315202">Paper</a> /
<a href="https://github.com/harvard-edge/MAVBench/tree/mavfi">Code</a>
<br>
<p></p>
<p>We introduce ROSFI, the first Robot Operating System (ROS) resilience analysis methodology, to assess the effect of silent data corruption (SDC) on safety-critical applications. </p>
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<papertitle>SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search</papertitle>
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<a href="https://www.linkedin.com/in/shengxi-shou-499166278/">Shengxi Shou</a>,
<a href="https://che-kai.github.io">Che-Kai Liu</a>,
<a href="https://sanggeon.com">Sanggeon Yun</a>,
<strong>Zishen Wan</strong>,
<a href="https://www.needskai.org/kai-ni/">Kai Ni</a>,
<a href="http://moimani.weebly.com">Mohsen Imani</a>,
<a href="https://sites.nd.edu/xsharon-hu/">X. Sharon Hu</a>,
<a href="https://scholar.google.com/citations?hl=en&user=fY3sU3sAAAAJ">Jianyi Yang</a>,
<a href="https://scholar.google.com/citations?hl=en&user=-XSbEFAAAAAJ">Cheng Zhuo</a>,
<a href="https://scholar.google.com/citations?user=snOTdoIAAAAJ&hl=en&oi=ao">Xunzhao Yin</a>
<br>
<em>IEEE/ACM International Conference on Computer-Aided Design (<strong>ICCAD</strong>)</em>, 2023
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<a href="https://arxiv.org/pdf/2310.04940.pdf">Paper</a> /
<a href="https://semiengineering.com/scalable-and-compact-multi-bit-cam-designs-using-fefets/">Media</a>
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<p></p>
<p>We propose a scalable and compact multi-bit CAM designs with FeFET, and demonstrate speedup and energy efficiency improvement in hyperdimensional computing (HDC) applications.</p>
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