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<title>Professor Yanjing Li, Department of Computer Science, University of Chicago</title>
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<h1><br></h1>
<a href="https://scholar.google.com/citations?view_op=list_works&hl=en&user=V-VpTSIAAAAJ">Google Scholar Profile</a><br> <br>
<!--<a href="">[paper]</a> <a href="">[slides]</a> <a href="">[talk]</a></li><br> -->
<ul>
<li>Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, and <strong>Yanjing Li</strong>, “Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators,” <i>Proc. IEEE VLSI Test Symposium (VTS)</i>, 2024 (to appear).</li><br>
<li>Cyrus Zhou, Zack Hassman, Dhirpal Shah, Vaughn Richard, and <strong>Yanjing Li</strong>, “YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs,” <i>Proc. 33rd ACM SIGPLAN International Conference on Compiler Construction (CC)</i>, 2024. <a href="https://drive.google.com/file/d/1KuV-3c56H7GNekZGllyNhe1AjsrzILmS/view?usp=sharing">[paper]</a></li><br>
<li> Yuqing Wang, Andronicus Rajasukumar, Tianshuo Su, Marziyeh Nourian, Jose M Monsalve Diaz, Ahsan Pervaiz, Jerry Ding, Charles Colley, Wenyi Wang, <strong>Yanjing Li</strong>, David F. Gleich, Hank Hoffmann, and Andrew A. Chien, "Efficiently Exploiting Irregular Parallelism Using Keys at Scale," <i>Workshop on Languages and Compilers for Parallel Computing</i>, 2023. <a href="https://drive.google.com/file/d/1Z4xNl0Vw0QKoE9pKLwO73FzG2BYJfUyx/view?usp=sharing">[paper]</a></li><br>
<li>Yi He, Mike Hutton, Steven Chan, Robert de Gruijl, Rama Govindaraju, Nishant Patil, and <strong>Yanjing Li</strong>, “Understanding and Mitigating Hardware Failures in Deep Learning Training Accelerator Systems,” <i>Proc. International Symposium on Computer Architecture (ISCA)</i>, 2023. <a href="https://drive.google.com/file/d/1uzLzdQCgqgWTP-7La3xzwr_GCRXcK0z4/view?usp=sharing">[paper]</a><a href="https://drive.google.com/file/d/1AFF9Ammt87Kv-j5l6e68d0KUsqcQqMMi/view?usp=sharing">[slides]</a><a href="https://www.youtube.com/watch?v=tBnehov1WFM&list=PLsLWHLZB96VclyamSj3PZ_NtLSmxaJvqP&index=5">[lightning video]</a><a href="https://drive.google.com/file/d/1Gp8NTVbNgFCJ5tYVmzNfyICXrb8HT_Lx/view?usp=sharing">[lightning slides]</a></li><br>
<li>Yi He, and <strong>Yanjing Li</strong>, “Understanding Permanent Hardware Failure Effects in Deep Learning Training Systems,” <i>Proc. European Test Conference (ETS)</i>, 2023. <a href="https://drive.google.com/file/d/122mQ6HkRfvr6vmRkVQEo9qjx4sxHvvQ6/view?usp=sharing">[paper]</a><a href="https://drive.google.com/file/d/1Ng_6s06ybp6SRH6ykDRSgh1gsSDi4ht2/view?usp=sharing">[slides]</a><a href="https://drive.google.com/file/d/1ubVyZP9LN1dkqwDikQr39vwD83W5Wlth/view?usp=sharing">[video]</a> </li><br>
<li>Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, and <strong>Yanjing Li</strong>, "Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Memristor Behaviors," <i>IEEE Design, Automation, and Test in Europe Conference (DATE)</i>, 2023. <a href="https://drive.google.com/file/d/1rGOHfNlun-So5k6WMwRH_893xiZRi-Ya/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1_8boKnluNm0oajIuWRY-1m-4H-FOjMBw/view?usp=sharing">[slides]</a> <a href="https://drive.google.com/file/d/1GN0eWP5ZcxPLLXU--54jQniGQE7dzr8P/view?usp=sharing">[talk]</a></li><br>
<li>Pedro Savarese, Xin Yuan, <strong>Yanjing Li</strong>, and Michael Maire, "Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise," <i>Proc. Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS)</i>, 2022. <a href="https://drive.google.com/file/d/1Dn2Fm97SpYVTK6JIhJ1oKmRtEHbnmW0J/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1cRSzfsEVALZwkw8i5s86oWd0c2ZT1DbP/view?usp=sharing">[slides]</a><a href="https://drive.google.com/file/d/1ot3Y2xqjQQgNRk_fxEJKYlH_UVSaboKy/view?usp=sharing">[poster]</a> </li><br>
<li>Takumi Uezono, Yi He, and <strong>Yanjing Li</strong>, "Achieving Automotive Safety Requirements through Functional In-Field Self-Test for Deep Learning Accelerators," <i>Proc. IEEE International Test Conference (ITC)</i>, 2022. <a href="https://drive.google.com/file/d/1KD6SLXp31FfPR--OlOS-M7zGo0vG1TFH/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1sD3xxVUnWnDDcCNWH0TFdovjQfDZz6KN/view?usp=sharing">[slides]</a> </li><br>
<li>Mehdi Sadi, Yi He, <strong>Yanjing Li</strong>, Mahabubul Alam, Satwik Kundu, Swaroop Ghosh, Javad Bahrami, and Naghmeh Karimi, “On the Reliability of Conventional and Quantum Neural Network Hardware,” <i>Proc. IEEE VLSI Test Symposium (VTS)</i>, 2022 (invited). <a href="https://drive.google.com/file/d/1qaKxWGCkiDMvcVRu6_smsoUPQmg04XYY/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1Sv9K3bEftrAiVFH58OtwcAeDUkQibyXP/view?usp=sharing">[slides]</a> <a href="https://drive.google.com/file/d/1HrNQs59rnRlkfWNn0ZmIAR-3eC3QAknL/view?usp=sharing">[talk]</a></li><br>
<li>Yi He, Takumi Uezono, and <strong>Yanjing Li</strong>, "Efficient Functional In-Field Self-Test for Deep Learning Accelerators," <i>Proc. IEEE International Test Conference (ITC)</i>, 2021. <a href="https://drive.google.com/file/d/12KWGt4wsKoHRRIBJR4h7piTEVnxug0UR/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1FYDJPUOrJfUL6CUS9bPu_Je6LrKYEFbe/view?usp=sharing">[slides]</a> </li><br>
<li>Mingdai Yang, Mohammad Reza Jokar, Junyi Qiu, Qiuwen Lou, Yuming Liu, Aditi Udupa, Frederic T. Chong, John M. Dallesasse, Milton Feng, Lynford L. Goddard, X. Sharon Hu, and <strong>Yanjing Li</strong>, "A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals," <i>Proc. ACM Great Lakes Symposium on VLSI (GLSVLSI)</i>, 2021. <a href="https://drive.google.com/file/d/1qJwE5j5nuA97txxRE43gF3hS2qj6VvIW/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1DKdmfp30f4BA1MxTaan64ktrBFlpFKbV/view?usp=sharing">[slides]</a> <a href="https://drive.google.com/file/d/1rzMBSOECtTiyW2J6l--uqatDnBmRsHjW/view?usp=sharing">[talk]</a></li><br>
<li>Yi He, Prasanna Balaprakash, and <strong>Yanjing Li</strong>, "FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators," <i>Proc. 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO)</i>, 2020. <a href="https://drive.google.com/file/d/1nssVH3eIo2hjAoixQnThxEL-fQixMPsF/view?usp=sharing">[paper]</a> <a href="https://docs.google.com/presentation/d/14Av3kJ5bUg2Q3ZvKUmDsF93iWpfnE8HK/edit?usp=sharing&ouid=104163808627648833817&rtpof=true&sd=true">[slides]</a> <a href="https://drive.google.com/file/d/1WzwvMSs3uBq1A6Znc7rejAnO90D4CXTy/view?usp=sharing">[talk]</a></li><br>
<li>Mohammad Reza Jokar, Junyi Qiu, Frederic T. Chong, Lynford L. Goddard, John M. Dallesasse, Milton Feng, and <strong>Yanjing Li</strong>, "Baldur: A Power-Efficient and Scalable Network Using All-Optical Switches," <i>Proc. IEEE International Symposium on High-Performance Computer Architecture (HPCA)</i>, 2020. <a href="https://drive.google.com/file/d/1Al3fh0ORPxaGv5WBWL14ewhKR1-9qeFI/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/16_xrc8dCXUobvsqPOqdSifMoz48z4zws/view?usp=sharing">[slides]</a> </li><br>
<li>Yi He and <strong>Yanjing Li</strong>, "Time-Slicing Soft Error Resilience in Microprocessors for Reliable and Energy-Efficient Execution," <i>Proc. IEEE International Test Conference (ITC)</i>, 2019. <a href="https://drive.google.com/file/d/19hM2k4b-cGxcdVt3NjA04OZjiyAg9Yss/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1y0m3WdEtYxt5QFLU3O-Fav_T-q4-cxLp/view?usp=sharing">[slides]</a> </li><br>
<li>Reza Jokar, Lunkai Zhang, John Dallesasse, Fred Chong, and <strong>Yanjing Li</strong>, "Direct-Modulated Optical Networks for Interposer Systems," <i>Proc. IEEE/ACM International Symposium on Networks-on-Chip (NOCS)</i>, 2019. <a href="https://drive.google.com/file/d/1vhScYjQZfXBI8ZCnX-sLZCpi_4215MHx/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1R_Ii36001gEQwNGeCOt_SFuw4WoFbUdM/view?usp=sharing">[slides]</a> </li><br>
<li>Eric Cheng, Daniel-Mueller-Gritschneder, Jacob Abraham, Pradip Bose, Alper Buyuktosunoglu, Deming Chen, <strong>Yanjing Li</strong>, Uzair Sharif, KevinSkadron, Mircea Stan, Muhammad Shafique, Ulf Schlichtmann, Subhasish Mitra, "Cross-Layer Resilience: Myths, Insights and the Road Ahead," <i>Proc. ACM/EDAC/IEEE Design Automation Conference (DAC)</i>, 2019 (invited).</li><br>
<li>Yan Verdeja Herms, and <strong>Yanjing Li</strong>, "Skipping Crashes: A Minimal-Cost Framework for Efficient Error Recovery in Approximate Computing Environments," <i>Proc. ACM Great Lakes Symposium on VLSI (GLSVLSI)</i>, 2019. <strong>Best Paper Award</strong>. <a href="https://drive.google.com/file/d/10QAtqcGK0a2nh6EzjHCMUmqb3ixqKRDZ/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1B7JP_CdVZd25p3HOBUHEdiUKRsKaUBLe/view?usp=sharing">[slides]</a> </li><br>
<li>Xinchuan Wu, Timothy Sherwood, Fred Chong, and <strong>Yanjing Li</strong>, "Protecting Page Tables from RowHammer Attacks using Monotonic Pointers in DRAM True-Cells," <i>Proc. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)</i>, 2019. <a href="https://drive.google.com/file/d/1SFulH9EYGkekBsIuMXOTIzbhFtW2rvEV/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1THOA6p75zwBo4Qe00Ix-RxH18o3Y4sua/view?usp=sharing">[slides]</a> <a href="https://drive.google.com/file/d/1ZjWhmdxvXUDVvd8u0-FBWFjmbu0F4sUY/view?usp=sharing">[poster]</a><a href="https://youtu.be/WAXiwwJMyFo">[lightning talk]</a></li><br>
<li>Xi Liang, Yi He, Prasanna Balaprakash, and <strong>Yanjing Li</strong>, "Machine Learning Guided Application Error Analysis for Efficient Cross-Layer Resilience," <i>ACM/EDAC/IEEE Design Automation Conference (DAC)</i>, Latest Breaking Results, 2018.</li><br>
<li>Xiaoan Ding, Xi Liang, and <strong>Yanjing Li</strong>, "Cross-Layer Refresh Mitigation for Efficient and Reliable DRAM Systems: A Comparative Study," <i>Proc. IEEE International Test Conference (ITC)</i>, pp. 1-10, 2017. <a href="https://drive.google.com/file/d/1CSpz1NTOpAjC9wZTbjz8ZvOzUSRjPXXN/view?usp=sharing">[paper]</a> <a href="https://drive.google.com/file/d/1vQ_T2LoZR3JMMpXKaGlP6yYKASkZ7bYG/view?usp=sharing">[slides]</a> </li><br>
<li>David Lin, Ted Hong, <strong>Yanjing Li</strong>, S Eswaran, Sharad Kumar, Farzan Fallah, Nagib Hakim, Donald S. Gardner, and Subhasish Mitra, "Effective Post Silicon Validation of System-on-Chips using Quick Error Detection," <i>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems</i>, vol. 33, no. 10, pp. 1573-1590, 2014.</li><br>
<li>Subhasish Mitra, Pradip Bose, Eric Cheng, Chen-Yong Cher, Hyungmin Cho, Rajiv Joshi, Young Moon Kim, Charles R. Lefurgy, <strong>Yanjing Li</strong>, Kenneth P. Rodbell, Kevin Skadron, James Stathis, and LLukasz Szafaryn, "The Resilience Wall: Cross-Layer Solution Strategies," <i>Proc. IEEE International Symposium on VLSI Technology, Systems and Applications and IEEE International Symposium on VLSI Design, Automation and Test</i>, pp. 1-11, 2014 (Invited).</li><br>
<li><strong>Yanjing Li</strong>, Eric Cheng, Samy Makar and Subhasish Mitra, "Self-Repair of Uncore Components in Robust System-on-Chips: An OpenSPARC T2 Case Study," <i>Proc. IEEE International Test Conference (ITC)</i>, pp. 1-10, 2013. </li><br>
<li>David Lin, Ted Hong, <strong>Yanjing Li</strong>, Farzan Fallah, Donald S. Gardner, Nagib Hakim, and Subhasish Mitra, "Overcoming Post-Silicon Validation Challenges through Quick Error Detection (QED)," <i>Proc. IEEE/ACM Design Automation and Test in Europe (DATE)</i>, pp. 320-325, 2013 (Invited).</li><br>
<li>Subhasish Mitra, Kevin Brelsford, Young Moon Kim, Hsiao-Heng Kelin Lee, and <strong>Yanjing Li</strong>, "Robust System Design to Overcome CMOS Reliability Challenges," <i>IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Special Issue on the IEEE CAS Forum on Emerging and Selected Topics</i>, vol. 1, no. 1, pp. 30-41, 2011 (Invited).</li><br>
<li>Subhasish Mitra, Hyungmin Cho, Ted Hong, Young Moon Kim, Hsiao-Heng Kelin Lee, Larkhoon Leem, <strong>Yanjing Li</strong>, David Lin, Evelyn Mintarno, Diana Mui, Sung-Boem Park, Nashant Patil, Hai Wei, and Jie Zhang, "Robust System Design," <i>IPSJ Trans. System LSI Design Methodology</i>, 2011 (Invited).</li><br>
<li>Larkhoon Leem, Hyungmin Cho, Young Moon Kim, Hsiao-Heng Kelin Lee, <strong>Yanjing Li</strong>, and Subhasish Mitra, "Cross-Layer Error Resilience for Robust Systems," <i>Proc. IEEE/ACM International Conference on Computer-Aided Design (ICCAD)</i>, pp. 177-180, 2010 (Invited).</li><br>
<li>Ted Hong, <strong>Yanjing Li</strong>, Sung-Boem Park, Diana Mui, David Lin, Ziyad Abdel Kaleq, Nagib Hakim, Helia Naeimi, Donald S. Gardner, and Subhasish Mitra, "QED: Quick Error Detection Tests for Effective Post-Silicon Validation," <i>Proc. IEEE International Test Conference (ITC)</i>, pp. 1-10, 2010. <b>Best Student Paper Award</b>.</li><br>
<li><strong>Yanjing Li</strong>, Onur Mutlu, Donald S. Gardner, and Subhasish Mitra, "Concurrent Autonomous Self-Test for Uncore Components in System-on-Chips," <i>Proc. IEEE VLSI Test Symposium (VTS)</i>, pp. 232- 237, 2010. <b>Best Paper Award</b>.</li><br>
<li><strong>Yanjing Li</strong>, Young Moon Kim, Evelyn Mintarno, Donald S. Gardner, and Subhasish Mitra, "Overcoming Early-Life Failure and Aging Challenges for Robust System Design," <i>IEEE Design and Test of Computers, Special Issue on Design for Reliability and Robustness</i>, vol. 26, no. 6, pp. 28-39, 2009 (invited).</li><br>
<li><strong>Yanjing Li</strong>, Onur Mutlu, and Subhasish Mitra, "Operating System Scheduling for Efficient Online Self- Test in Robust Systems," <i>Proc. IEEE International Conference on Computer-Aided Design (ICCAD)</i>, pp. 201-208, 2009.</li><br>
<li>Hiroaki Inoue, <strong>Yanjing Li</strong>, and Subhasish Mitra, "VAST: Virtualization Assisted Concurrent Autonomous Self-Test," <i>Proc. IEEE International Test Conference (ITC)</i>, pp. 1-10, 2008.</li><br>
<li><strong>Yanjing Li</strong>, Samy Makar, and Subhasish Mitra, "CASP: Concurrent Autonomous Chip Self-Test Using Stored Test Patterns," <i>Proc. IEEE/ACM Design Automation and Test in Europe (DATE)</i>, pp. 885-890, 2008.</li><br>
<li><strong>Yanjing Li</strong>, Zhaosong Lu, and Jeremy J. Michalek, "Diagonal Quadratic Approximation for Parallelization of Analytical Target Cascading," <i>ASME Journal of Mechanical Design</i>, vol. 130, no. 5, pp. 051402-1 - 051402-11, 2008.</li><br>
<li><strong>Yanjing Li</strong>, Zhaosong Lu, and Jeremy J. Michalek, "Diagonal Quadratic Approximation for Parallelization of Analytical Target Cascading," <i>Proc. ASME International Design Engineering Technical Conferences</i>, pp. 749-760, 2007.</li>
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