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Mingu Kang
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2020 – today
- 2024
- [j30]Sadhana Shanmuga Sundaram
, Yugandhar Khodke, Yidong Li, Sung-Joon Jang
FreFlex: A High-Performance Processor for Convolution and Attention Computations via Sparsity-Adaptive Dynamic Frequency Boosting. IEEE J. Solid State Circuits 59(3): 855-866 (2024) - [j29]Young Kyu Lee, Dong Han Ko
Split WL 6T SRAM-Based Bit Serial Computing-in-Memory Macro With High Signal Margin and High Throughput. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 1869-1873 (2024) - [c30]Chang Eun Song, Yidong Li, Amardeep Ramnani, Pulkit Agrawal, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang:
52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating. CICC 2024: 1-2 - [c29]Zihan Xia, Jinwook Kim, Mingu Kang:
LEAF: An Adaptation Framework against Noisy Data on Edge through Ultra Low-Cost Training. DAC 2024: 160:1-160:6 - [c28]Kyu-Hyoun Kim
Mixed-Signal Dot-Product Processor with Switched-Capacitors for Machine Learning. ICEIC 2024: 1-4 - [c27]Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi:
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA 2024: 454-467 - [c26]Chang Eun Song
Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping. ISLPED 2024: 1-6 - [i14]Ashkan Moradifirouzabadi, Dodla Divya Sri, Mingu Kang:
An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing. CoRR abs/2409.04940 (2024) - [i13]Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, Tajana Rosing:
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing. CoRR abs/2409.10918 (2024) - [i12]Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park:
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR abs/2410.06442 (2024) - 2023
- [j28]Jae Eun Shim
NCDE: In-Network Caching for Directory Entries to Expedite Data Access in Tiled-Chip Multiprocessors. IEEE Access 11: 3080-3095 (2023) - [j27]Mingu Kang, Suntae Kim
Which Exceptions Do We Have to Catch in the Python Code for AI Projects? Int. J. Softw. Eng. Knowl. Eng. 33(3): 375-394 (2023) - [c25]Yugandhar Khodke, Sadhana Shanmugasundaram
AI Processor with Sparsity-adaptive Real-time Dynamic Frequency Modulation for Convolutional Neural Networks and Transformers. CICC 2023: 1-2 - [c24]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CVPR 2023: 3344-3354 - [c23]Hyeonjun Yun, Hyeseon Kwon, Sangsu Yeh, Minsu Lee, Jonghwa Kim, Yunha Kim, Seungwoo Cha, Mingu Kang, Jooyeop Nam:
High-Speed Wafer Temperature Control Approach of Step Chiller for Semiconductor Manufacturing Equipment. IECON 2023: 1-6 - [c22]Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. VLSI Technology and Circuits 2023: 1-2 - [i11]Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi:
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR abs/2305.07522 (2023) - 2022
- [j26]Mingu Kang, Sangmin Hyun, Tae Hee Han
On-the-Fly Lowering Engine: Offloading Data Layout Conversion for Convolutional Neural Networks. IEEE Access 10: 79730-79746 (2022) - [j25]Mingu Kang, Taeyoung Kim, Suntae Kim
Gradle-Autofix: An Automatic Resolution Generator for Gradle Build Error. Int. J. Softw. Eng. Knowl. Eng. 32(4): 583-603 (2022) - [j24]Shuo Shan
The effects of socio-technical integration on sustainability practices: a supply chain perspective. Ind. Manag. Data Syst. 122(2): 419-441 (2022) - [j23]Yutong Liu
Supply chain planning and innovation performance: the moderated mediation effect of IT usage. Ind. Manag. Data Syst. 122(11): 2465-2484 (2022) - [j22]Sae Kyu Lee
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling. IEEE J. Solid State Circuits 57(1): 182-197 (2022) - [c21]Ji Sun Park, Mingu Kang, Sungryoul Lee, Dong-Kyu Chae:
Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis. BigComp 2022: 314-317 - [c20]Zheng Li, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Mingu Kang:
Accelerating attention through gradient-based learned runtime pruning. ISCA 2022: 902-915 - [c19]Amir Yazdanbakhsh, Ashkan Moradifirouzabadi
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation. MICRO 2022: 744-762 - [i10]Zheng Li, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Mingu Kang:
Accelerating Attention through Gradient-Based Learned Runtime Pruning. CoRR abs/2204.03227 (2022) - [i9]Amir Yazdanbakhsh, Ashkan Moradifirouzabadi, Zheng Li, Mingu Kang:
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation. CoRR abs/2209.00606 (2022) - [i8]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CoRR abs/2212.04690 (2022) - 2021
- [j21]Mingu Kang, Taewon Kang, Xiaozhen Wang
The Effect of Intellectual Leadership on Mass Customization: Moderated Mediation Effect of Customer Market Knowledge. IEEE Access 9: 164589-164596 (2021) - [j20]Min Tian
Enablers of supply chain integration: a technology-organization-environment view. Ind. Manag. Data Syst. 121(8): 1871-1895 (2021) - [j19]Mingu Kang, HyeungKyeom Kim, Suchul Lee, Seokmin Han:
Resilience against Adversarial Examples: Data-Augmentation Exploiting Generative Adversarial Networks. KSII Trans. Internet Inf. Syst. 15(11): 4105-4121 (2021) - [j18]Mingu Kang, Siho Shin
Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals. Sensors 21(23): 7916 (2021) - [c18]Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. IJCNN 2021: 1-8 - [c17]Trung Quang Tran, Mingu Kang, Daeyoung Kim:
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation. IJCNN 2021: 1-8 - [c16]Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA 2021: 153-166 - [c15]Jinwon Joo, Minyong Yoon, Jungwook Choi, Mingu Kang, Jong-Geon Lee
Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators. ISOCC 2021: 413-414 - [c14]Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling. ISSCC 2021: 144-146 - [i7]Trung Quang Tran, Mingu Kang, Daeyoung Kim:
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation. CoRR abs/2102.06328 (2021) - [i6]Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. CoRR abs/2102.07304 (2021) - [i5]Trung Q. Tran, Mingu Kang, Daeyoung Kim:
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss. CoRR abs/2110.04430 (2021) - 2020
- [j17]Dong Wu
Interfirm networks and search-transfer problem: the role of geographic proximity. Ind. Manag. Data Syst. 120(5): 923-940 (2020) - [j16]Swagath Venkataramani
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108(12): 2232-2250 (2020) - [j15]Mingu Kang
Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing. Proc. IEEE 108(12): 2251-2275 (2020) - [j14]Mingu Kang
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1627-1639 (2020) - [c13]Mingu Kang, Jaehyo Jung, Siho Shin, Kyeung Ho Kang, Youn Tae Kim:
Multi bio-signal based algorithm using EMD and FFT for stress analysis. ICCE 2020: 1-4 - [c12]Siho Shin, Jaehyo Jung, Mingu Kang, Kyeung Ho Kang, Youn Tae Kim:
Electromyogram-based algorithm using bagged trees for biometric person authentication and motion recognition. ICCE 2020: 1-4 - [c11]Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference. VLSI Circuits 2020: 1-2 - [i4]Seung Ju Cho, Tae Joon Jun, Mingu Kang, Daeyoung Kim:
Applying Tensor Decomposition to image for Robustness against Adversarial Attack. CoRR abs/2002.12913 (2020)
2010 – 2019
- 2019
- [j13]Mingu Kang, Prakalp Srivastava, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms. IEEE Micro 39(5): 64-72 (2019) - [c10]Ameya D. Patil, Haocheng Hua, Sujan K. Gonugondla
An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks. ISCAS 2019: 1-5 - 2018
- [j12]Mingu Kang
An In-Memory VLSI Architecture for Convolutional Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(3): 494-505 (2018) - [j11]Yongyi Shou, Wenjin Hu
Risk management and firm performance: the moderating role of supplier integration. Ind. Manag. Data Syst. 118(7): 1327-1344 (2018) - [j10]Mingu Kang, Kihyun Park
Supply chain integration and coordination for international sourcing in the context of China's processing trade. Ind. Manag. Data Syst. 118(9): 1730-1748 (2018) - [j9]Mingu Kang, Ma Ga (Mark) Yang, Youngwon Park, Baofeng Huo
Supply chain integration and its impact on sustainability. Ind. Manag. Data Syst. 118(9): 1749-1765 (2018) - [j8]Mingu Kang
A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array. IEEE J. Solid State Circuits 53(2): 642-655 (2018) - [j7]Mingu Kang
A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator. IEEE J. Solid State Circuits 53(7): 2126-2135 (2018) - [j6]Sujan K. Gonugondla
A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training. IEEE J. Solid State Circuits 53(11): 3163-3173 (2018) - [j5]Yongjune Kim
Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. IEEE Trans. Commun. 66(10): 4826-4841 (2018) - [c9]Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla
PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA 2018: 43-56 - [c8]Sujan K. Gonugondla
Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. ISCAS 2018: 1-5 - [c7]Yongjune Kim
SRAM Bit-line Swings Optimization using Generalized Waterfilling. ISIT 2018: 1670-1674 - [c6]Sujan Kumar Gonugondla
A 42pJ/decision 3.12TOPS/W robust in-memory machine learning classifier with on-chip training. ISSCC 2018: 490-492 - [c5]Mingu Kang, Ramon Zamora:
Optimal Placement and Sizing of DG and Shunt Capacitor for Power Loss Minimization in an Islanded Distribution System. SmartGIFT 2018: 43-52 - 2017
- [b1]Mingu Kang:
Deep in-memory computing. University of Illinois Urbana-Champaign, USA, 2017 - [c4]Mingu Kang, Sujan K. Gonugondla
A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array. ESSCIRC 2017: 263-266 - [i3]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-filling for Source-Aware Energy-Efficient SRAMs. CoRR abs/1710.07153 (2017) - 2016
- [j4]Mingu Kang, Naresh R. Shanbhag:
In-Memory Computing Architectures for Sparse Distributed Memory. IEEE Trans. Biomed. Circuits Syst. 10(4): 855-863 (2016) - [i2]Sai Zhang, Mingu Kang, Charbel Sakr, Naresh R. Shanbhag:
Reducing the Energy Cost of Inference via In-sensor Information Processing. CoRR abs/1607.00667 (2016) - [i1]Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag:
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array. CoRR abs/1610.07501 (2016) - 2015
- [c3]Mingu Kang, Taewan Kim
FamCom: A Communication Service Enhancing Conversation Quality Between Elders Residing in Care Hospital and Their Family Member. CHI Extended Abstracts 2015: 13-18 - [c2]Mingu Kang, Sujan K. Gonugondla
An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks. ICASSP 2015: 1037-1041 - [c1]Mingu Kang, Eric P. Kim, Min-Sun Keel, Naresh R. Shanbhag:
Energy-efficient and high throughput sparse distributed memory architecture. ISCAS 2015: 2505-2508 - 2013
- [j3]Mingu Kang, Jisu Kim, Younghwi Yang, Seong-Ook Jung:
Dynamic mixed serial-parallel content addressable memory (DMSP CAM). Int. J. Circuit Theory Appl. 41(7): 721-731 (2013) - 2012
- [j2]Mingu Kang, Ilgu Yun:
Experimental observation of gate geometry dependent characteristic degradations of the multi-finger MOSFETs. Microelectron. Reliab. 52(9-10): 1936-1939 (2012)
2000 – 2009
- 2009
- [j1]Mingu Kang, Seong-Ook Jung:
Serial-Parallel Content Addressable Memory with a Conditional Driver (SPCwCD). IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(1): 318-321 (2009)
Coauthor Index
Sujan K. Gonugondla
aka: Sujan Kumar Gonugondla
aka: Sujan Kumar Gonugondla
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last updated on 2024-11-19 20:44 CET by the dblp team
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