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2020 – today
- 2024
[j15]Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda:
Do we really need a large number of visual prompts? Neural Networks 177: 106390 (2024)- [j14]Abhishek Moitra
, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2101-2111 (2024) - [j13]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2897-2907 (2024) - [c29]Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda:
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE 2024: 1-6 - [c28]Youngeun Kim, Yuhang Li, Priyadarshini Panda:
One-Stage Prompt-Based Continual Learning. ECCV (13) 2024: 163-179 - [c27]Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda:
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. ECCV (13) 2024: 216-235 - [c26]Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer:
Open-World Dynamic Prompt and Continual Visual Representation Learning. ECCV (49) 2024: 357-374 - [c25]Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda:
LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks. MICRO 2024: 1107-1121 - [i45]Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda:
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR abs/2401.08001 (2024) - [i44]Youngeun Kim, Yuhang Li, Priyadarshini Panda:
One-stage Prompt-based Continual Learning. CoRR abs/2402.16189 (2024) - [i43]Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda:
LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks. CoRR abs/2407.14073 (2024) - [i42]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing. CoRR abs/2408.12742 (2024) - [i41]Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, Youngeun Kim, Priyadarshini Panda:
When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design. CoRR abs/2408.12767 (2024) - [i40]Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition. CoRR abs/2409.01564 (2024) - [i39]Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer:
Open-World Dynamic Prompt and Continual Visual Representation Learning. CoRR abs/2409.05312 (2024) - [i38]Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda:
Spiking Transformer with Spatial-Temporal Attention. CoRR abs/2409.19764 (2024) - 2023
- [j12]Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong:
TL-ADA: Transferable Loss-based Active Domain Adaptation. Neural Networks 161: 670-681 (2023) - [j11]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks 168: 569-579 (2023) - [j10]Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1926-1938 (2023) - [j9]Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. 2023 (2023) - [c24]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI 2023: 8308-8316 - [c23]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. DAC 2023: 1-6 - [c22]Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI 2023: 619-624 - [c21]Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda:
SEENN: Towards Temporal Spiking Early Exit Neural Networks. NeurIPS 2023 - [i37]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR abs/2302.06746 (2023) - [i36]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. CoRR abs/2303.17646 (2023) - [i35]Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda:
SEENN: Towards Temporal Spiking Early-Exit Neural Networks. CoRR abs/2304.01230 (2023) - [i34]Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR abs/2304.13098 (2023) - [i33]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems. CoRR abs/2305.07135 (2023) - [i32]Youngeun Kim, Yuhang Li, Abhishek Moitra, Priyadarshini Panda:
Do We Really Need a Large Number of Visual Prompts? CoRR abs/2305.17223 (2023) - [i31]Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda:
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR abs/2305.18360 (2023) - [i30]Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR abs/2305.18416 (2023) - [i29]Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda:
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR abs/2308.16372 (2023) - [i28]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. CoRR abs/2310.06845 (2023) - [i27]Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. CoRR abs/2312.05272 (2023) - 2022
- [j8]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j7]Youngeun Kim, Joshua Chough, Priyadarshini Panda:
Beyond classification: directly training spiking neural networks for semantic segmentation. Neuromorph. Comput. Eng. 2(4): 44015 (2022) - [j6]Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda:
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2625-2637 (2022) - [j5]Youngeun Kim, Sungeun Hong:
Adaptive Graph Adversarial Networks for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(1): 172-182 (2022) - [c20]Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
PrivateSNN: Privacy-Preserving Spiking Neural Networks. AAAI 2022: 1192-1200 - [c19]Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda:
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. DATE 2022: 1111-1114 - [c18]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. ECCV (24) 2022: 36-56 - [c17]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) 2022: 102-120 - [c16]Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda:
Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) 2022: 631-649 - [c15]Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda:
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP 2022: 71-75 - [c14]Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda:
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. ISLPED 2022: 1:1-1:6 - [i26]Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda:
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. CoRR abs/2201.01479 (2022) - [i25]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. CoRR abs/2201.10355 (2022) - [i24]Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda:
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR abs/2202.03133 (2022) - [i23]Abhishek Moitra, Youngeun Kim, Priyadarshini Panda:
Adversarial Detection without Model Information. CoRR abs/2202.04271 (2022) - [i22]Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda:
Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR abs/2203.06145 (2022) - [i21]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda:
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR abs/2203.13321 (2022) - [i20]Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR abs/2204.05422 (2022) - [i19]Kyeongtak Han, Youngeun Kim, Dongyoon Han, Sungeun Hong:
Loss-based Sequential Learning for Active Domain Adaptation. CoRR abs/2204.11665 (2022) - [i18]Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda:
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. CoRR abs/2206.09599 (2022) - [i17]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR abs/2207.01382 (2022) - [i16]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR abs/2211.14406 (2022) - [i15]Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda:
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR abs/2212.02233 (2022) - 2021
- [j4]Youngeun Kim, Priyadarshini Panda:
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. Neural Networks 144: 686-698 (2021) - [j3]Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, Sungeun Hong:
Domain Adaptation Without Source Data. IEEE Trans. Artif. Intell. 2(6): 508-518 (2021) - [j2]Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda:
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69: 6183-6194 (2021) - [i14]Youngeun Kim, Priyadarshini Panda:
Visual Explanations from Spiking Neural Networks using Interspike Intervals. CoRR abs/2103.14441 (2021) - [i13]Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks. CoRR abs/2104.03414 (2021) - [i12]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i11]Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda:
Federated Learning with Spiking Neural Networks. CoRR abs/2106.06579 (2021) - [i10]Youngeun Kim, Joshua Chough, Priyadarshini Panda:
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation. CoRR abs/2110.07742 (2021) - 2020
- [j1]Youngeun Kim, Donghyeon Cho, Sungeun Hong:
Towards Privacy-Preserving Domain Adaptation. IEEE Signal Process. Lett. 27: 1675-1679 (2020) - [c13]Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CVPR 2020: 10254-10263 - [c12]Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim:
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. ICIP 2020: 1951-1955 - [c11]Juri Jung, Jonghee Kim, Youngeun Kim, Changick Kim:
Reinforcement Learning-Based Layer-Wise Quantization For Lightweight Deep Neural Networks. ICIP 2020: 3070-3074 - [c10]Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. WACV 2020: 2046-2054 - [c9]Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. WACV 2020: 2930-2938 - [i9]Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim:
Partial Domain Adaptation Using Graph Convolutional Networks. CoRR abs/2005.07858 (2020) - [i8]Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda:
Domain Adaptation without Source Data. CoRR abs/2007.01524 (2020) - [i7]Youngeun Kim, Sungeun Hong, Seunghan Yang, Sungil Kang, Yunho Jeon, Jiwon Kim:
Associative Partial Domain Adaptation. CoRR abs/2008.03111 (2020) - [i6]Youngeun Kim, Priyadarshini Panda:
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch. CoRR abs/2010.01729 (2020) - [i5]Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda:
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. CoRR abs/2012.00261 (2020)
2010 – 2019
- 2019
- [c8]Hankyeol Lee, Seokeon Choi, Youngeun Kim, Changick Kim:
Bilinear Siamese Networks with Background Suppression for Visual Object Tracking. BMVC 2019: 8 - [c7]Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-Based Semantic Segmentation Using Level Set Loss. WACV 2019: 1752-1760 - [i4]Youngeun Kim, Hankyeol Lee, Seokeon Choi, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. CoRR abs/1909.13247 (2019) - [i3]Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-based Semantic Segmentation using Level Set Loss. CoRR abs/1910.00950 (2019) - [i2]Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. CoRR abs/1910.05518 (2019) - [i1]Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CoRR abs/1912.01230 (2019) - 2018
- [c6]Sang Yul Yang, Kyeong Ho Cho, Youngeun Kim, Kihyeon Kim, Jae Hyeong Park, Hosang Jung, Jeong U. Ko, Hyungpil Moon, Ja Choon Koo, Hugo Rodrigue, Ji Won Suk, Jaedo Nam, Hyouk Ryeol Choi:
Soft Fabric Actuator for Robotic Applications. IROS 2018: 5451-5456 - [c5]Tuan Anh Luong, Kihyeon Kim, Sung-Won Seo, Jae Hyeong Park, Youngeun Kim, Sang Yul Yang, Kyeong Ho Cho, Ja Choon Koo, Hyouk Ryeol Choi, Hyungpil Moon:
Impedance Control of a High Performance Twisted-Coiled Polymer Actuator. IROS 2018: 8701-8706 - [c4]Tuan Anh Luong, Kihyeon Kim, Sung-Won Seo, Jae Hyeong Park, Youngeun Kim, Sang Yul Yang, Kyeong Ho Cho, Ja Choon Koo, Hyouk Ryeol Choi, Hyungpil Moon:
Modeling and position control of a high performance twisted-coiled polymer actuator. UR 2018: 73-79 - [c3]Youngeun Kim, Taekyung Kim, Seunghyeon Kim, Changick Kim:
Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. VCIP 2018: 1-4
2000 – 2009
- 2008
- [c2]Seonhong Hwang, Youngeun Kim, Youngho Kim:
Joint Kinetics and Lumbar Curvatures during Symmetric Lifting: Squat and Stoop. BMEI (2) 2008: 818-822 - 2007
- [c1]Seonhong Hwang, Sungjae Hwang, Youngeun Kim, Youngho Kim:
Lower extremity joint moments during symmetric lifting: squat vs stoop. i-CREATe 2007: 101-104
Coauthor Index
[j15] [j14] [j13] [c29] [c28] [c27] [c25] [i45] [i44] [i43] [i42] [i41] [i40] [i38] [j11] [j10] [j9] [c24] [c23] [c22] [c21] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [j8] [j7] [j6] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [j4] [j3] [j2] [i14] [i13] [i12] [i11] [i10] [i8] [i6] [i5]
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