Publications

Book Chapters

Jae-sun Seo and Shimeng Yu, “Neuro-Inspired Computing and Neuromorphic Processors for Biomedical Circuits and Systems,” Chapter in Selected Topics in Biomedical Circuits and Systems, River Publishers Series in Circuits and Systems, 2021. [River Publishers link]

Deepak Kadetotad, Pai-Yu Chen, Yu Cao, Shimeng Yu, and Jae-sun Seo, “Peripheral Circuit Design Considerations of Neuro-inspired Architectures,” Chapter in Neuro-inspired Computing Using Resistive Synaptic Devices, pp. 167-182, Springer International Publishing, 2017. [Springer link]

Journal Publications

Han-sok Suh, Jian Meng, Ty Nguyen, Shreyas K. Venkataramanaiah, Vijay Kumar, Yu Cao, and Jae-sun Seo, “Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA,” ACM Transactions on Reconfigurable Technology and Systems (TRETS), 2023, accepted for publication. [ACM link]

Bo Zhang, Shihui Yin, Minkyu Kim, Jyotishman Saikia, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Jae-sun Seo, and Mingoo Seok, “PIMCA: A Programmable In-Memory Computing Accelerator for Energy-Efficient DNN Inference,” IEEE Journal of Solid-State Circuits (JSSC), 2022, accepted for publication. [IEEEXplore link]

Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao, and Deliang Fan, “XMA²: A Crossbar-Aware Multi-Task Adaption Framework via 2-Tier Masks,” Frontiers in Electronics (Section on Integrated Circuits and VLSI), vol. 3, December 2022. [Frontiers link]

Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, and Yu Cao, “Hybrid RRAM/SRAM In-Memory Computing for Robust DNN Acceleration,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 11, pp. 4241-4252, November 2022. [IEEEXplore link]

Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Han-Sok Suh, Shihui Yin, Gokul Krishnan, Frank Liu, Jae-sun Seo, and Yu Cao, “Efficient Continual Learning at the Edge with Progressive Segmented Training,” Neuromorphic Computing and Engineering, vol. 2, no. 4, October 2022. [IOP link]

Injune Yeo and Jae-sun Seo, “Resistive Memories Stack Up,” Nature Electronics, vol. 5, no. 7, pp. 414-415, July 2022. [Nature link] [News & Views Article]

Jae-sun Seo, Jyotishman Saikia, Jian Meng, Wangxin He, Han-sok Suh, Anupreetham, Yuan Liao, Ahmed Hasssan, and Injune Yeo, “Digital Versus Analog Artificial Intelligence Accelerators: Advances, Trends, and Emerging Designs,” IEEE Solid-State Circuits Magazine, vol. 14, no. 3, pp. 65-79, Summer 2022. [IEEEXplore link]

Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, and Jae-sun Seo, “Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection,” IEEE Design & Test, vol. 39, no. 4, pp. 71-80, August 2022. [IEEEXplore link]

Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, and Jae-sun Seo, “Temperature-Resilient RRAM-based In-Memory Computing for DNN Inference,” IEEE Micro, vol. 42, no. 1, pp. 89-98, January/February 2022. [IEEEXplore link] [Special Issue on Processing in Memory]

Sai Kiran Cherupally, Jian Meng, Adnan Rakin, Shihui Yin, Injune Yeo, Shimeng Yu, Deliang Fan, and Jae-sun Seo, “Improving the Accuracy and Robustness of RRAM-based In-Memory Computing Against RRAM Hardware Noise and Adversarial Attacks,” Semiconductor Science and Technology, vol. 37, no. 3, January 2022. [IOP link] [Special Issue on Neuromorphic Devices and Applications]

Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, and Yu Cao, “Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks,” ACM Journal on Emerging Technologies in Computing Systems (JETC), vol. 18, no. 2, pp. 1-22, April 2022 (Available Online: December 2021). [ACM link]

Arnab Neelim Mazumder, Jian Meng, Hasib-Al Rashid, Utteja Kallakuri, Xin Zhang, Jae-sun Seo, and Tinoosh Mohsenin, “A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 11, no. 4, pp. 532-547, December 2021. [IEEEXplore link]

Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Umit Ogras, and Yu Cao, “SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks,” ACM Transactions on Embedded Computing Systems, vol. 20, no. 5s, October 2021. [ACM link]

Xu Han, Aymeric Privat, Keith E. Holbert, Jae-sun Seo, Shimeng Yu, and Hugh J. Barnaby, “Total Ionizing Dose Effect on Multi-state HfOx-based RRAM Synaptic Array,” IEEE Transactions on Nuclear Science (TNS), vol. 68, no. 5, pp. 756-761, May 2021. [IEEEXplore link]

Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, and Jae-sun Seo, “Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks,” IEEE Transactions on Circuits and Systems II (TCAS-II), vol. 68, no. 5, pp. 1576-1580, May 2021. [Invited for Special Issue on 2021 ISCAS] [IEEEXplore link]

Minkyu Kim and Jae-sun Seo, “Energy-Efficient Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access,” IEEE Journal of Solid-State Circuits (JSSC), vol. 56, no. 3, pp. 803-813, March 2021. [Invited for Special Issue on 2020 CICC] [IEEEXplore link]

Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, and Yu Cao, “Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs,” IEEE Design & Test, vol. 37, no. 6, pp. 79-87, December 2020. [IEEEXplore link]

Yandong Luo, Xu Han, Zhilu Ye, Hugh Barnaby, Jae-sun Seo, and Shimeng Yu, “Array Level Programming of 3-bit Per Cell Resistive Memory and Its Application for Deep Neural Network Inference,” IEEE Transactions on Electron Devices, vol. 67, no. 11, pp. 4621-4625, November 2020. [Special Section on 2020 ESSDERC] [IEEEXplore link]

Wonbo Shim, Jae-sun Seo, and Shimeng Yu, “Two-Step Write-Verify Scheme and Impact of the Read Noise in Multilevel RRAM based Inference Engine,” Semiconductor Science and Technology, vol. 35, no. 11, October 2020. [IOPscience link]

Sai Kiran Cherupally, Shihui Yin, Deepak Kadetotad, Chisung Bae, Sang Joon Kim, and Jae-sun Seo, “A Smart Hardware Security Engine Combining Entropy Sources of ECG, HRV and SRAM PUF for Authentication and Secret Key Generation,” IEEE Journal of Solid-State Circuits (JSSC), vol. 55, no. 10, pp. 3680-3690, October 2020. [Invited for Special Issue on 2019 ASSCC] [IEEEXplore link]

Shihui Yin, Xiaoyu Sun, Shimeng Yu, and Jae-sun Seo, “High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS,” IEEE Transactions on Electron Devices, vol. 67, no. 10, pp. 4185-4192, October 2020. [IEEEXplore link]

Sumit K. Mandal, Gokul Krishnan, Chaitali Chakrabarti, Jae-sun Seo, Yu Cao, and Umit Y. Ogras, “A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 10, no. 3, pp. 362-375, September 2020. [IEEEXplore link]

Wangxin He, Shihui Yin, Yulhwa Kim, Xiaoyu Sun, Jae-Joon Kim, Shimeng Yu, and Jae-sun Seo, “2-Bit-per-Cell RRAM based In-Memory Computing for Area-/Energy-Efficient Deep Learning,” IEEE Solid-State Circuits Letter (SSC-L), vol. 3, pp. 194-197, July 2020. [Special Section on 2020 ESSCIRC] [IEEEXplore link]

Zhewei Jiang, Shihui Yin, Jae-sun Seo, and Mingoo Seok, “C3SRAM: An In-Memory-Computing SRAM Macro Based on Robust Capacitive Coupling Computing Mechanism,” IEEE Journal of Solid-State Circuits (JSSC), vol. 55, no. 7, pp. 1888-1897, July 2020. [Invited for Special Issue on 2019 ESSCIRC] [IEEEXplore link]

Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, and Jae-sun Seo, “An 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity for On-Device Speech Recognition,” IEEE Journal of Solid-State Circuits (JSSC), vol. 55, no. 7, pp. 1877-1887, July 2020. [Invited for Special Issue on 2019 ESSCIRC] [IEEEXplore link]

Wonbo Shim, Yandong Luo, Jae-sun Seo, and Shimeng Yu, “Investigation of Read Disturb and Bipolar Read Scheme on Multilevel RRAM based Deep Learning Inference Engine,” IEEE Transactions on Electron Devices, vol. 67, no. 6, pp. 2318-2323, June 2020. [IEEEXplore link]

Shihui Yin, Zhewei Jiang, Jae-sun Seo, and Mingoo Seok, “XNOR–SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks,” IEEE Journal of Solid-State Circuits (JSSC), vol. 55, no. 6, pp. 1733-1743, June 2020. [IEEEXplore link]

Yufei Ma, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “Performance Modeling for CNN Inference Accelerators on FPGA,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 4, pp. 843-856, April 2020. [IEEEXplore link]

Sai Kiran Cherupally, Shihui Yin, Deepak Kadetotad, Gaurav Srivastava, Chisung Bae, Sang Joon Kim, and Jae-sun Seo, “ECG Authentication Hardware Design with Low-Power Signal Processing and Neural Network Optimization with Low Precision and Structured Compression,“ IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), vol. 14, no. 2, pp. 198-208, February 2020. [Special Section on AI-Based Biomedical Circuits and Systems] [IEEEXplore link]

Yufei Ma, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “Automatic Compilation of Diverse CNNs onto High-Performance FPGA Accelerators,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 2, pp. 424-437, February 2020. [IEEEXplore link]

Shihui Yin and Jae-sun Seo, “A 2.6 TOPS/W 16-bit Fixed-Point Convolutional Neural Network Learning Processor in 65nm CMOS,” IEEE Solid-State Circuits Letters (SSC-L), vol. 3, no. 1, pp. 13-16, January 2020. [IEEEXplore link]

Shihui Yin, Zhewei Jiang, Minkyu Kim, Tushar Gupta, Mingoo Seok, and Jae-sun Seo, “Vesti: Ultra-Energy-Efficient In-Memory Computing Accelerator for Deep Neural Networks,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 1, pp. 48-61, January 2020. [IEEEXplore link]

Shihui Yin, Yandong Luo, Yulhwa Kim, Wangxin He, Xu Han, Xiaoyu Sun, Hugh Barnaby, Jae-Joon Kim, Shimeng Yu, and Jae-sun Seo, “Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning,” IEEE Micro, vol. 39, no. 6, pp. 54-63, November/December 2019. [IEEEXplore link]

Shihui Yin, Xiaoyu Sun, Shimeng Yu, and Jae-sun Seo, “High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS,” ArXiv Preprint, arXiv:1909:07514, September 2019. [arXiv link]

Zhewei Jiang, Shihui Yin, Jae-sun Seo, and Mingoo Seok, “C3SRAM: In-Memory Computing SRAM Macro Based on Capacitive-Coupling Computing,” IEEE Solid-State Circuits Letters (SSC-L), vol. 2, no. 9, pp. 131-134, September 2019. [Invited for Special Issue on 2019 ESSCIRC] [IEEEXplore link]

Deepak Kadetotad, Visar Berisha, Chaitali Chakrabarti, and Jae-sun Seo, “A 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity with All Parameters Stored On-Chip,” IEEE Solid-State Circuits Letters (SSC-L), vol. 2, no. 9, pp. 119-122, September 2019. [Invited for Special Issue on 2019 ESSCIRC] [IEEEXplore link]

Shihui Yin, Minkyu Kim, Deepak Kadetotad, Yang Liu, Chisung Bae, Sang Joon Kim, Yu Cao, and Jae-sun Seo, “A 1.06 µW Smart ECG Processor in 65nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring,” IEEE Journal of Solid-State Circuits (JSSC), vol. 54, no. 8, pp. 2316-2326, August 2019. [IEEEXplore link]

Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Luning Wei, Xiaofei He, Yu Cao, and Jae-sun Seo, “A Real-time 17-Scale Object Detection Accelerator with Adaptive 2000-Stage Classification in 65nm CMOS,” IEEE Transactions on Circuits and Systems I (TCAS-I), vol. 66, no. 10, pp. 3843-3853, June 2019. [IEEEXplore link]

Chetan S. Thakur, Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun M. Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, and Ralph Etienne-Cummings, “Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain,” Frontiers of Neuroscience, vol. 12, pp. 891, December 2018. [Frontiers link]

Kyungwook Chang, Deepak Kadetotad, Yu Cao, Jae-sun Seo, and Sung-Kyu Lim, “Power, Performance, and Area Benefit of Monolithic 3D ICs for On-Chip Deep Neural Networks Targeting Speech Recognition,” ACM Journal on Emerging Technologies in Computing Systems (JETC), vol. 14, no. 4, November 2018. [ACM link]

Robert D’Angelo, Xiaocong Du, Christopher D. Salthouse, Brent Hollosi, Geremy Freifeld, Wes Uy, Haiyao, Huang, Nhut Tran, Armand Chery, Jae-sun Seo, Yu Cao, Dorothy C. Poppe, and Sameer Sonkusale, “Process Scalability of Pulse Based Circuits for Analog Image Convolution,” IEEE Transactions on Circuits and Systems I (TCAS-I), vol. 65, no. 9, pp. 2929-2938, September 2018. [IEEEXplore link]

Yufei Ma, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “Optimizing the Convolution Operation to Accelerate Deep Neural Networks on FPGA,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 7, pp. 1354-1367, July 2018. [IEEEXplore link]

Yufei Ma, Naveen Suda, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “ALAMO: FPGA Acceleration of Deep Learning Algorithms with a Modularized RTL Compiler,” Integration, the VLSI Journal, vol. 62, pp. 14-23, June 2018. [ScienceDirect link]

Arindam Basu, Jyotibdha Acharya, Tanay Karnik, Huichu Liu, Hai Li, Jae-sun Seo, and Chang Song
“Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 8, no. 1, pp. 6-27, March 2018. [IEEEXplore link]

Zihan Xu, Steven Skorheim, Ming Tu, Visar Berisha, Shimeng Yu, Jae-sun Seo, Maxim Bazhenov, and Yu Cao, “Improving Efficiency in Sparse Learning with the Feedforward Inhibitory Motif,” Neurocomputing, vol. 267, no. C, pp. 141-151, December 2017. [Elsevier link]

Jiangyi Li, Jae-sun Seo, Ioannis Kymissis, and Mingoo Seok, ‘‘Triple-Mode, Hybrid-Storage Energy Harvesting Power Management Unit: Achieving High Efficiency against Harvesting and Load Variabilities,’’ IEEE Journal of Solid-State Circuits (JSSC), vol. 52, no. 10, pp. 2550-2562, October 2017. [Invited for Special Issue on 2016 ASSCC] [IEEEXplore link]

Mohit Shah, Sairam Arunachalam, Jingcheng Wang, David Blaauw, Dennis Sylvester, Hun-Seok Kim, Jae-sun Seo, and Chaitali Chakrabarti, “A Fixed-Point Neural Network Architecture For Speech Applications on Resource Constrained Hardware,” Journal of Signal Processing Systems, doi:10.1007/s11265-016-1202-x, 2016. [Springer link]

Niranjan Kulkarni, Jinghua Yang, Jae-sun Seo, and Sarma Vrudhula, “Reducing Power, Leakage and Area of Standard Cell ASICs Using Threshold Logic Flipflops,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 6, pp. 2873-2886, September 2016. [IEEEXplore link]

Suyoung Bang, Jae-sun Seo, Leland Chang, David Blaauw, and Dennis Sylvester, “A Low Ripple Switched-Capacitor Voltage Regulator Using Flying Capacitance Dithering,” IEEE Journal of Solid-State Circuits (JSSC), vol. 51, no. 4, pp. 919-929, April 2016. [Invited for Special Issue on 2015 Symp. on VLSI Circuits] [IEEEXplore link]

Jae-sun Seo, Binbin Lin, Minkyu Kim, Pai-Yu Chen, Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Sarma Vrudhula, Shimeng Yu, Jieping Ye, Yu Cao, “On-Chip Sparse Learning Acceleration with CMOS and Resistive Synaptic Devices,” IEEE Transactions on Nanotechnology (TNANO), vol. 14, no. 6, pp. 969-979, November 2015. [IEEEXplore link]

Ligang Gao, I-Ting Wang, Pai-Yu Chen, Sarma Vrudhula, Jae-sun Seo, Yu Cao, Tuo-Hung Hou, and Shimeng Yu, “Fully Parallel Write/Read in Resistive Synaptic Array for Accelerating On-Chip Learning,” Nanotechnology, vol. 26, 455204, October 2015. [IOPscience link]

Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma Vrudhula, Shimeng Yu, Yu Cao, and Jae-sun Seo, “Parallel Architecture with Resistive Crosspoint Array for Dictionary Learning Acceleration,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 5, no. 2, pp. 194-204, June 2015. [IEEEXplore link]

Bipin Rajendran, Yong Liu, Jae-sun Seo, Kailash Gopalakrishnan, Leland Chang, Daniel Friedman, and Mark Ritter, “Specifications of Nanoscale Devices & Circuits for Neuromorphic Computational Systems,” IEEE Transactions on Electron Devices, vol. 60, no. 1, pp. 246-253, January 2013. [IEEEXplore link]

Jae-sun Seo, David Blaauw, and Dennis Sylvester, “Crosstalk-Aware PWM-Based On-Chip Links with Self-Calibration in 65nm CMOS,” IEEE Journal of Solid-State Circuits (JSSC), September 2011, vol. 46, no. 9, pp. 2041-2052, September 2011. [IEEEXplore link]

Jae-sun Seo, Dennis Sylvester, David Blaauw, Himanshu Kaul, and Ram Krishnamurthy, “A Robust Edge Encoding Technique for Energy-Efficient Multi-Cycle Interconnect,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, pp. 264-273, February 2011. [IEEEXplore link]

Jongwoo Lee, Joshua Kang, Sunghyun Park, Jae-sun Seo, Jens Anders, Jorge Guilherme, and Michael Flynn, “A 2.5mW 80dB DR 36dB SNDR 22MS/s Logarithmic Pipeline ADC,” IEEE Journal of Solid-State Circuits (JSSC), vol. 44, no. 10, pp. 2755-2765, October 2009. [IEEEXplore link]

Prashant Singh, Jae-sun Seo, David Blaauw, and Dennis Sylvester, “Self-timed Regenerators for High-speed and Low-power Global Interconnects,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 16, no. 6, pp. 673-677, June 2008. [IEEEXplore link]

Conference Publications

Injune Yeo, Dong-Woo Jee, and Jae-sun Seo, “A 92F²/bit Physically Unclonable Function Exploiting Channel Charge Injection and Mismatch Accumulation,” IEEE Custom Integrated Circuits Conference, April 2023, accepted for publication.

Vasundhara Damodaran, Ziyu Liu, Jae-sun Seo, and Arindam Sanyal, “A 138-TOPS/W Delta-Sigma Modulator-Based Variable-Resolution Activation In-Memory Computing Macro,” IEEE Custom Integrated Circuits Conference, April 2023, accepted for publication.

Wangxin He, Jian Meng, Sujan Kumar Gonugondla, Shimeng Yu, Naresh R. Shanbhag, and Jae-sun Seo, “PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration,” IEEE Design, Automation & Test in Europe (DATE), April 2023, accepted for publication.

Gopikrishnan Raveendran Nair*, Han-sok Suh*, Mahantesh Halappanavar, Frank Liu, Jae-sun Seo, and Yu Cao, “FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix,” IEEE Design, Automation & Test in Europe (DATE), April 2023, accepted for publication.
*Equally-credited authors

Li Yang*, Jian Meng*, Jae-sun Seo, and Deliang Fan, “Get More at Once: Alternating Sparse Training with Gradient Correction,” Advances in Neural Information Processing Systems (NeurIPS), December 2022. [Openreview link]
*Equally-credited authors

Zhenyu Wang, Gopikrishnan Raveendran Nair, Gokul Krishnan, Sumit K. Mandal, Ninoo Cherian, Jae-sun Seo, Chaitali Chakrabarti, Umit Y. Ogras, and Yu Cao, “AI Computing in Light of 2.5D Interconnect Roadmap: Big-Little Chiplets for In-memory Acceleration,” IEEE International Electron Devices Meeting (IEDM), December 2022. [IEEEXplore link]

Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Umit Ogras, and Yu Cao, “Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture,” IEEE International Conference On Computer Aided Design (ICCAD), November 2022. [ACM link]

Ahmed Hasssan, Jian Meng, Yu Cao, and Jae-sun Seo, “Spatial-temporal Data Compression of Dynamic Vision Sensor Output with High Pixel-level Saliency using Low-precision Sparse Autoencoder,” IEEE Asilomar Conference on Signals, Systems, and Computers, November 2022.

Gokul Krishnan, Zhenyu Wang, Li Yang, Injune Yeo, Jian Meng, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, and Yu Cao, “IMC Architecture for Robust DNN Acceleration,” IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), October 2022. [invited] [IEEEXplore link]

Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, and Yu Cao, “Hybrid RRAM/SRAM In-Memory Computing for Robust DNN Acceleration,” International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Embedded Systems Week (ESWEEK), October 2022.

Shreyas K. Venkataramanaiah, Jian Meng, Han-Sok Suh, Injune Yeo, Jyotishman Saikia, Sai Kiran Cherupally, Yichi Zhang, Zhiru Zhang, and Jae-sun Seo, “A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification,” IEEE European Solid-State Circuits Conference (ESSCIRC), September 2022. [IEEEXplore link]

Amitesh Sridharan, Shaahin Angizi, Sai Kiran Cherupally, Fan Zhang, Jae-sun Seo, and Deliang Fan, “A 1.23-GHz 16-Kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm,” IEEE European Solid-State Circuits Conference (ESSCIRC), September 2022. [IEEEXplore link]

Xu Han, Matthew Spear, Jae-sun Seo, Donald Wilson, Trace Wallace, Oliver Forman, Jose Solano, Marek Turowski, Matthew Marinella, Hugh J. Barnaby, “Total Ionizing Dose Effects in FDSOI SRAM-Based XNOR IMC Synaptic Array,” IEEE Nuclear & Space Radiation Effects Conference (NSREC), July 2022.

Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao, and Deliang Fan, “XMA: A Crossbar-aware Multi-task Adaption Framework via Shift-based Mask Learning Method,” ACM/IEEE Design Automation Conference (DAC), July 2022. [ACM link]

Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, and Jae-sun Seo, “Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. [CVF link]

Bo Zhang, Jyotishman Saikia, Jian Meng, Dewei Wang, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Jae-sun Seo, and Mingoo Seok, “A 177 TOPS/W, Capacitor-based In-Memory Computing SRAM Macro with Stepwise-Charging/Discharging DACs and Sparsity-Optimized Bitcells for 4-Bit Deep Convolutional Neural Networks,” IEEE Custom Integrated Circuits Conference (CICC), April 2022. [IEEEXplore link]

Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, and Jae-sun Seo, “Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference,” IEEE International Reliability Physics Symposium (IRPS), March 2022. [IEEEXplore link] [invited]

Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao and Deliang Fan, “XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning,” IEEE Design, Automation & Test in Europe (DATE), March 2022. [IEEEXplore link] [Best IP (Interactive Presentations) Paper Award]

Fan Zhang, Li Yang, Jian Meng, Yu Cao, Jae-sun Seo, and Deliang Fan, “XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), January 2022.[IEEEXplore link]

Han-sok Suh, Jian Meng, Ty Nguyen, Shreyas K. Venkataramanaiah, Vijay Kumar, Yu Cao, and Jae-sun Seo, “Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA,” IEEE International Conference on Field-Programmable Technology (FPT), December 2021. [IEEEXplore link]

Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, and Jae-sun Seo, “Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robustness Improvement of DNN Hardware Against Adversarial Input and Weight Attacks,” ACM/IEEE Design Automation Conference (DAC), December 2021. [IEEEXplore link]

Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Umit Ogras, and Yu Cao, “SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks,” International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Embedded Systems Week (ESWEEK), October 2021. [ACM link]

Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun. Seo, Umit Ogras and Yu Cao, “System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration,” IEEE International Conference on ASIC (ASICON), October 2021. [IEEEXplore link]

Anupreetham, Mohamed Ibrahim, Mathew Hall, Andrew Boutros, Ajay Kuzhively, Abinash Mohanty, Eriko Nurvitadhi, Vaughn Betz, Yu Cao, and Jae-sun Seo, “End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression,” IEEE International Conference on Field-Programmable Logic and Applications (FPL), September 2021. [Best Paper Candidate] [IEEEXplore link]

Jian Meng, Shreyas Kolala Venkataramanaiah, Chuteng Zhou, Patrick Hansen, Paul Whatmough, and Jae-sun Seo, “FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access,” IEEE International Conference on Field-Programmable Logic and Applications (FPL), September 2021. [IEEEXplore link]

Shihui Yin, Bo Zhang, Minkyu Kim, Jyotishman Saikia, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Mingoo Seok, and Jae-sun Seo, “PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference,” IEEE Symposium on VLSI Circuits, June 2021. [IEEEXplore link]

Vinay Joshi, Wangxin He, Jae-sun Seo, and Bipin Rajendran, “Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2021. [IEEEXplore link]

Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, and Jae-sun Seo, “Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2021. [IEEEXplore link]

Wangxin He, Wonbo Shim, Shihui Yin, Xiaoyu Sun, Deliang Fan, Shimeng Yu, and Jae-sun Seo, “Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing,” IEEE International Reliability Physics Symposium (IRPS), March 2021. [Best Student Paper Candidate] [IEEEXplore link]

Wonbo Shim, Jian Meng, Xiaochen Peng, Jae-sun Seo, and Shimeng Yu, “Impact of Multilevel Retention Characteristics on RRAM based DNN Inference Engine,” IEEE International Reliability Physics Symposium (IRPS), March 2021. [IEEEXplore link]

Jyotishman Saikia, Shihui Yin, Bo Zhang, Jian Meng, Mingoo Seok and Jae-sun Seo, “Modeling and Optimization of SRAM-based In-Memory Computing Hardware Design,” IEEE Design, Automation & Test in Europe (DATE), February 2021. [IEEEXplore link]

Xu Han, Aymeric Privat, Keith E. Holbert, Jae-sun Seo, Shimeng Yu, and Hugh Barnaby, “Total Ionizing Dose Effect on Multi-state HfOx-based RRAM Synaptic Array,” IEEE Nuclear & Space Radiation Effects Conference (NSREC), December 2020.

Shreyas Venkataramanaiah, Han-sok Suh, Shihui Yin, Eriko Nurvithadhi, Aravind Dasu, Yu Cao, and Jae-sun Seo, “FPGA-based Low-Batch Training Accelerator for Modern CNNs Featuring High Bandwidth Memory“, IEEE International Conference On Computer Aided Design (ICCAD), November 2020. [IEEEXplore link]

Shreyas K. Venkataramanaiah, Shihui Yin, Yu Cao, and Jae-sun Seo, “Deep Neural Network Training Accelerator Designs in ASIC and FPGA,” IEEE International SoC Conference (ISOCC), October 2020. [invited] [IEEEXplore link]

Deepak Kadetotad, Jian Meng, Visar Berisha, Chaitali Chakrabarti, and Jae-sun Seo, “Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity,” INTERSPEECH, October 2020. [INTERSPEECH link]

Usama Awais and Jae-sun Seo, “Regulation Control Design Techniques for Integrated Switched Capacitor Voltage Regulators,” IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), August 2020. [IEEEXplore link]

Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, and Yu Cao, “Online Knowledge Acquisition with Selective Inherited Model,” IEEE International Joint Conference on Neural Networks (IJCNN), July 2020. [IEEEXplore link] [Best Student Paper Finalist]

Yandong Luo, Xiaochen Peng, Ryan Hatcher, Titash Rakshit, Jorge Kittl, Jae-sun Seo, and Shimeng Yu, “A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2020. [IEEEXplore link]

Wonbo Shim, Yandong Luo, Jae-sun Seo, and Shimeng Yu, “Impact of Read Disturb on Multi-level RRAM based Inference Engine: Experiments and Model Prediction,” IEEE International Reliability Physics Symposium (IRPS), March 2020. [IEEEXplore link]

Shruti Kulkarni, Shihui Yin, Jae-sun Seo, and Bipin Rajendran, “An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays,” IEEE Design, Automation & Test in Europe (DATE), March 2020. [IEEEXplore link]

Minkyu Kim and Jae-sun Seo, “Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access,” IEEE Custom Integrated Circuits Conference (CICC), March 2020. [IEEEXplore link]

Shruti Kulkarni, Deepak Kadetotad, Shihui Yin, Jae-sun Seo, and Bipin Rajendran, “Neuromorphic Hardware Accelerator for SNN Inference Based on STT-Ram Crossbar Arrays,” IEEE International Conference on Electronics, Circuits and Systems, November 2019. [IEEEXplore link]

Sai Kiran Cherupally, Shihui Yin, Deepak Kadetotad, Chisung Bae, Sang Joon Kim, and Jae-sun Seo, “A Smart Hardware Security Engine Combining Entropy Sources of ECG, HRV and SRAM PUF for Authentication and Secret Key Generation,” IEEE Asian Solid-State Circuits Conference (A-SSCC), November 2019. [IEEEXplore link]

Zhewei Jiang, Shihui Yin, Minkyu Kim, Tushar Gupta, Mingoo Seok, and Jae-sun Seo, “Vesti: Ultra-Energy-Efficient In-Memory Computing Accelerator for Deep Neural Networks,” IEEE Asilomar Conference on Signals, Systems, and Computers, November 2019. [invited] [IEEEXplore link]

Xiaochen Peng, Minkyu Kim, Xiaoyu Sun, Shihui Yin, Titash Rakshit, Ryan M. Hatcher, Jorge A. Kittl, Jae-sun Seo, and Shimeng Yu, “Inference Engine Benchmarking Across Technological Platforms from CMOS to RRAM,” The International Symposium on Memory Systems (MEMSYS), October 2019. [ACM link]

Zhewei Jiang, Shihui Yin, Jae-sun Seo, and Mingoo Seok, “C3SRAM: In-Memory Computing SRAM Macro Based on Capacitive-Coupling Computing,” IEEE European Solid-State Circuits Conference (ESSCIRC), September 2019. [IEEEXplore link]

Deepak Kadetotad, Visar Berisha, Chaitali Chakrabarti, and Jae-sun Seo, “A 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity with All Parameters Stored On-Chip,” IEEE European Solid-State Circuits Conference (ESSCIRC), September 2019. [IEEEXplore link]

Shreyas Kolala Venkataramanaiah, Yufei Ma, Shihui Yin, Eriko Nurvithadhi, Aravind Dasu, Yu Cao, and Jae-sun Seo, “Automatic Compiler Based FPGA Accelerator for CNN Training,“ International Conference on Field-Programmable Logic and Applications (FPL), September 2019. [IEEEXplore link] [Slides]

Jyotishman Saikia, Shihui Yin, Zhewei Jiang, Mingoo Seok, and Jae-sun Seo, “K-Nearest Neighbor Hardware Accelerator Using In-Memory Computing SRAM,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2019. [IEEEXplore link]

Sai Kiran Cherupally, Gaurav Srivastava, Shihui Yin, Chisung Bae, Sang Joon Kim, and Jae-Sun Seo, “ECG Authentication Neural Network Hardware Design with Collective Optimization of Low Precision and Structured Compression,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2019. [IEEEXplore link]

Zhewei Jiang, Shihui Yin, Jae-sun Seo, and Mingoo Seok, “XNOR-SRAM: In-Bitcell Computing SRAM Macro based on the Resistive Computing Mechanism,” ACM Great Lakes Symposium on VLSI (GLSVLSI), May 2019. [invited] [ACM link]

Gaurav Srivastava, Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, and Jae-sun Seo, “Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019. [IEEEXplore link] [codes]

Mingoo Seok, Minhao Yang, Zhewei Jiang, Aurel. A. Lazar, Jae-sun Seo, “Cases for Analog-Mixed-Signal Computing Integrated-Circuits for Deep Neural Networks,” International Symposium on VLSI Design, Automation, and Test (VLSI-DAT), April 2019. [invited] [IEEEXplore link]

Paul Whatmough, Chuteng Zhou, Patrick Hansen, Shreyas Venkataramanaiah, Jae-sun Seo, and Matthew Mattina, “FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning,” Conference on Systems and Machine Learning (SysML), April 2019. [SysML link] 

Yufei Ma, Tu Zheng, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “Algorithm-Hardware Co-Design of Single Shot Detector for Fast Object Detection on FPGAs,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), November 2018. [ACM link] 

Shihui Yin, Xiaoyu Sun, Shimeng Yu, Jae-sun Seo, and Chaitali Chakrabarti, “A Parallel RRAM Synaptic Array Architecture for Energy-Efficient Recurrent Neural Networks,” IEEE International Workshop on Signal Processing Systems (SiPS), October 2018. [IEEEXplore link]

Shruti R. Kulkarni, Deepak Kadetotad, Jae-sun Seo, and Bipin Rajendran, “Well-Posed Verilog-A Compact Model for Phase Change Memory,” International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), September 2018. [IEEEXplore link]

Zhewei Jiang, Shihui Yin, Mingoo Seok, and Jae-sun Seo, “XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks,” IEEE Symposium on VLSI Circuits, June 2018. [IEEEXplore link]

Prad Kadambi, Abinash Mohanty, Hao Ren, Jaclyn Smith, Kevin McGuinnes, Kimberly Holt, Armin Furtwaengler, Roberto Slepetys, Zheng Yang, Jae-sun Seo, Sarma Vrudhula, Junseok Chae, Yu Cao, and Visar Berisha, “Towards a Wearable Cough Detector Based on Neural Networks” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018. [IEEEXplore link]

Xiaoyu Sun, Shihui Yin, Xiaochen Peng, Rui Liu, Jae-sun Seo, and Shimeng Yu, “XNOR-RRAM: A Scalable and Parallel Synaptic Architecture for Binary Neural Networks,” Design, Automation & Test in Europe (DATE), March 2018. [IEEEXplore link]

Xiaoyu Sun, Xiaochen Peng, Pai-Yu Chen, Rui Liu, Jae-sun Seo, and Shimeng Yu, “Fully Parallel RRAM Synaptic Array for Implementing Binary Neural Network with (+1, -1) Weights and (+1, 0) Neurons,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), January 2018. [IEEEXplore link]

Abinash Mohanty, Xiaocong Du, Pai-Yu Chen, Jae-sun Seo, Shimeng Yu, and Yu Cao, “Random Sparse Adaptation for Accurate Inference with Inaccurate Multi-Level RRAM Arrays,” IEEE International Electron Devices Meeting (IEDM), December 2017. [IEEEXplore link]

Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, and Jae-sun Seo, “Minimizing Area and Energy of Deep Learning Hardware Design Using Binarization and Structured Compression,” Asilomar Conference on Signals, Systems, and Computers, October 2017. [invited] [arXiv link][IEEEXplore link]

Shihui Yin, Shreyas K. Venkataramanaiah, Gregory K. Chen, Ram Krishnamurthy, Yu Cao, Chaitali Chakrabarti, and Jae-sun Seo, “Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations,” IEEE Biomedical Circuits and Systems Conference (BioCAS), October 2017. [IEEEXplore link][arXiv link] [codes]

Yufei Ma, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “An Automatic RTL Compiler for High-Throughput FPGA Implementation of Diverse Deep Convolutional Neural Networks,” IEEE International Conference on Field-Programmable Logic and Applications (FPL), September 2017. [IEEEXplore link]

Kyungwook Chang, Deepak Kadetotad, Yu Cao, Jae-sun Seo and Sung Kyu Lim, “Monolithic 3D IC Designs for Low-Power Deep Neural Networks Targeting Speech Recognition,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2017. [IEEEXplore link]

Shihui Yin, Chisung Bae, Sang Joon Kim, and Jae-sun Seo, “Designing ECG-based Physical Unclonable Function for Security of Wearable Devices,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2017. [IEEEXplore link]

Ricardo Tapiador-Morales, Antonio Rios-Navarro, Alejandro Linares-Barranco, Minkyu Kim, Deepak Kadetotad, and Jae-sun Seo, “Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs,” International Work-Conference on Artificial Neural Networks, pp. 271-282, June 2017. [Springer link]

Shihui Yin, Minkyu Kim, Deepak Kadetotad, Yang Liu, Chisung Bae, Sang Joon Kim, Yu Cao, and Jae-sun Seo, “A 1.06 µW Smart ECG Processor in 65nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring,” IEEE Symposium on VLSI Circuits, June 2017. [selected as one of the technical highlights] [IEEEXplore link]

Yufei Ma, Minkyu Kim, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “End-to-End Scalable FPGA Accelerator for Deep Residual Networks,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2017. [IEEEXplore link]

Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Naveen Suda, Luning Wei, Pooja Saseendran, Xiaofei He, Yu Cao, and Jae-sun Seo, “A Real-time 17-Scale Object Detection Accelerator with Adaptive 2000-Stage Classification in 65nm CMOS,” IEEE International Symposium on Circuits and Systems (ISCAS), May 2017. [IEEEXplore link]

Xiaoyang Mi, Hesam Fathi Moghadam, and Jae-sun Seo, “Flying and Decoupling Capacitance Optimization for Area-Constrained On-Chip Switched-Capacitor Voltage Regulators,” Design, Automation & Test in Europe (DATE), March 2017. [IEEEXplore link]

Yufei Ma, Yu Cao, Sarma Vrudhula, and Jae-sun Seo, “Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks,” ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), February 2017. [ACM link] [Presentation slides]

Shihui Yin, Deepak Kadetotad, Bonan Yan, Chang Song, Yiran Chen, Chaitali Chakrabarti and Jae-sun Seo, “Low-Power Neuromorphic Speech Recognition Engine with Coarse-Grain Sparsity,” Asia and South Pacific Design Automation Conference (ASP-DAC), January 2017. [invited] [IEEEXplore link]

Dawei Zhou, Jingrui He, Yu Cao, and Jae-sun Seo, “Bi-level Rare Temporal Pattern Detection,” IEEE International Conference on Data Mining (ICDM), December 2016.