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2020 – today
- 2024
[j34]Fan Zhang
, Amitesh Sridharan, Wangxin He, Injune Yeo, Maximilian Liehr, Wei Zhang, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan:
A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. IEEE J. Solid State Circuits 59(7): 2093-2104 (2024)- [j33]Fan Zhang, Amitesh Sridharan, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Deliang Fan:
On-Device Continual Learning With STT-Assisted-SOT MRAM-Based In-Memory Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2393-2404 (2024) - [j32]Alberto Bosio, Ronald F. DeMara, Deliang Fan, Nima TaheriNejad:
Guest Editorial IEEE Transactions on Emerging Topics in Special Section on Emerging In-Memory Computing Architectures and Applications. IEEE Trans. Emerg. Top. Comput. 12(1): 4-6 (2024) - [j31]Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3809-3820 (2024) - [c114]Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI 2024: 13545-13553 - [c113]Amitesh Sridharan, Fan Zhang, Jae-Sun Seo, Deliang Fan:
SP-IMC: A Sparsity Aware In-Memory-Computing Macro in 28nm CMOS with Configurable Sparse Representation for Highly Sparse DNN Workloads. CICC 2024: 1-2 - [c112]Fan Zhang, Li Yang, Deliang Fan:
Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory. DAC 2024: 180:1-180:6 - [c111]Fan Zhang, Amitesh Sridharan, Wilman Tsai, Yiran Chen, Shan X. Wang, Deliang Fan:
Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning. DAC 2024: 182:1-182:6 - [c110]Qilin Zheng, Ziru Li, Jonathan Ku, Yitu Wang, Brady Taylor, Deliang Fan, Yiran Chen:
Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference. DAC 2024: 313:1-313:6 - [c109]Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu:
DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. SP 2024: 3293-3310 - [i47]Yongjae Lee, Zhaoliang Zhang, Deliang Fan:
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction. CoRR abs/2405.17793 (2024) - [i46]Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan:
LP-3DGS: Learning to Prune 3D Gaussian Splatting. CoRR abs/2405.18784 (2024) - 2023
- [j30]Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 332-343 (2023) - [c108]Amitesh Sridharan, Fan Zhang, Yang Sui, Bo Yuan, Deliang Fan:
DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. DAC 2023: 1-6 - [c107]Fan Zhang, Wangxin He, Injune Yeo, Maximilian Liehr, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan:
A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. ESSCIRC 2023: 117-120 - [c106]Jyotishman Saikia, Amitesh Sridharan, Injune Yeo, Shreyas K. Venkataramanaiah, Deliang Fan, Jae-Sun Seo:
FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro. ESSCIRC 2023: 405-408 - [c105]Nakul Kochar, Lucas Ekiert, Deniz Najafi, Deliang Fan, Shaahin Angizi:
Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study. ACM Great Lakes Symposium on VLSI 2023: 625-630 - [c104]Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo:
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. NeurIPS 2023 - [i45]Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan:
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing. CoRR abs/2303.07477 (2023) - [i44]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Model Extraction Attacks on Split Federated Learning. CoRR abs/2303.08581 (2023) - [i43]Yongjae Lee, Li Yang, Deliang Fan:
MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. CoRR abs/2304.12587 (2023) - 2022
- [j29]Naima Ahmed Fahmi, Khandakar Tanvir Ahmed, Jae-Woong Chang, Heba Nassereddeen, Deliang Fan, Jeongsik Yong, Wei Zhang:
APA-Scan: detection and visualization of 3′-UTR alternative polyadenylation with RNA-seq and 3′-end-seq data. BMC Bioinform. 23-S(3): 396 (2022) - [j28]Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-Sun Seo:
Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. IEEE Des. Test 39(4): 71-80 (2022) - [j27]Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, Jae-sun Seo:
Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. IEEE Micro 42(1): 89-98 (2022) - [j26]Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7928-7939 (2022) - [j25]Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao:
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers 71(11): 2740-2752 (2022) - [j24]Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-Sun Seo, Yu Cao:
Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4241-4252 (2022) - [j23]Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [j22]Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan:
MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET. ACM Trans. Design Autom. Electr. Syst. 27(2): 18:1-18:18 (2022) - [c103]Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI 2022: 8370-8377 - [c102]Fan Zhang, Li Yang, Deliang Fan:
Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. IEEECONF 2022: 328-333 - [c101]Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan:
XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. ASP-DAC 2022: 610-615 - [c100]Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. CVPR Workshops 2022: 2618-2626 - [c99]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR 2022: 10184-10192 - [c98]Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo:
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR 2022: 12247-12255 - [c97]Li Yang, Adnan Siraj Rakin, Deliang Fan:
RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR 2022: 12267-12276 - [c96]Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan:
XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. DAC 2022: 271-276 - [c95]Fan Zhang, Li Yang, Jian Meng, Jae-Sun Seo, Yu Cao, Deliang Fan:
XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. DATE 2022: 48-51 - [c94]Amitesh Sridharan, Shaahin Angizi, Sai Kiran Cherupally, Fan Zhang, Jae-Sun Seo, Deliang Fan:
A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. ESSCIRC 2022: 153-156 - [c93]Deliang Fan:
Session details: Session 1B: Emerging Computing and Post-CMOS Technologies. ACM Great Lakes Symposium on VLSI 2022 - [c92]Amitesh Sridharan, Fan Zhang, Deliang Fan:
MnM: A Fast and Efficient Min/Max Searching in MRAM. ACM Great Lakes Symposium on VLSI 2022: 39-44 - [c91]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
TRGP: Trust Region Gradient Projection for Continual Learning. ICLR 2022 - [c90]Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, Jae-Sun Seo:
Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference. IRPS 2022: 3 - [c89]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. NeurIPS 2022 - [c88]Li Yang, Jian Meng, Jae-sun Seo, Deliang Fan:
Get More at Once: Alternating Sparse Training with Gradient Correction. NeurIPS 2022 - [c87]Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan:
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. SP 2022: 1157-1174 - [i42]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
TRGP: Trust Region Gradient Projection for Continual Learning. CoRR abs/2202.02931 (2022) - [i41]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR abs/2205.04007 (2022) - [i40]Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. CoRR abs/2211.00789 (2022) - 2021
- [j21]Qutaiba Alasad, Jie Lin, Jiann-Shuin Yuan, Deliang Fan, Amro Awad:
Resilient and Secure Hardware Devices Using ASL. ACM J. Emerg. Technol. Comput. Syst. 17(2): 11:1-11:26 (2021) - [j20]Han Xu, Ziwei Li, Ziru Li, Deliang Fan, Fei Qiao, Qi Wei, Li Luo, Xinjun Liu, Huazhong Yang:
Reducing SRAM Reading Power With Column Data Segment and Weights Correlation Enhancement for CNN Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2237-2250 (2021) - [j19]Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu:
Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. IEEE Trans. Circuits Syst. I Regul. Pap. 68(3): 1217-1230 (2021) - [j18]Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, Jae-Sun Seo:
Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1576-1580 (2021) - [c86]Li Yang, Deliang Fan:
Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency. ASP-DAC 2021: 587-592 - [c85]Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan:
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR 2021: 13845-13853 - [c84]Fan Zhang, Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. DAC 2021: 43-48 - [c83]Fan Zhang, Shaahin Angizi, Deliang Fan:
Max-PIM: Fast and Efficient Max/Min Searching in DRAM. DAC 2021: 211-216 - [c82]Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo:
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. DAC 2021: 559-564 - [c81]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE 2021: 790-795 - [c80]Shaahin Angizi, Arman Roohi, MohammadReza Taheri, Deliang Fan:
Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. ACM Great Lakes Symposium on VLSI 2021: 265-270 - [c79]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST 2021: 248-258 - [c78]Arman Roohi, MohammadReza Taheri, Shaahin Angizi, Deliang Fan:
RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. ICCAD 2021: 1-9 - [c77]Wangxin He, Wonbo Shim, Shihui Yin, Xiaoyu Sun, Deliang Fan, Shimeng Yu, Jae-sun Seo:
Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing. IRPS 2021: 1-7 - [c76]Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS 2021: 164-172 - [c75]Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan:
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. USENIX Security Symposium 2021: 1919-1936 - [c74]Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL 2021: 118-133 - [i39]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR abs/2101.08254 (2021) - [i38]Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan:
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR abs/2103.13813 (2021) - [i37]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR abs/2107.09789 (2021) - [i36]Li Yang, Sen Lin, Junshan Zhang, Deliang Fan:
GROWN: GRow Only When Necessary for Continual Learning. CoRR abs/2110.00908 (2021) - [i35]Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan:
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. CoRR abs/2111.04625 (2021) - [i34]Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR abs/2112.09815 (2021) - 2020
- [j17]Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang:
Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. 36(6): 1814-1822 (2020) - [j16]Yiran Chen, Deliang Fan, Yanzhi Wang, Shigeru Yamashita:
Editorial for the special issue on disruptive computing technologies. CCF Trans. High Perform. Comput. 2(3): 209-210 (2020) - [j15]Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan:
Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. 16(2): 15:1-15:24 (2020) - [j14]Arman Roohi, Shadi Sheikhfaal, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. IEEE Trans. Computers 69(3): 349-360 (2020) - [j13]Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan:
MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(5): 1123-1136 (2020) - [j12]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Handling Stuck-at-Fault Defects Using Matrix Transformation for Robust Inference of DNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2448-2460 (2020) - [c73]Li Yang, Zhezhi He, Deliang Fan:
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI 2020: 6623-6630 - [c72]Li Yang, Shaahin Angizi, Deliang Fan:
A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. ASP-DAC 2020: 313-318 - [c71]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. ASP-DAC 2020: 538-543 - [c70]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack With Bit Trojan. CVPR 2020: 13195-13204 - [c69]Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan:
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR 2020: 14083-14091 - [c68]Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. DAC 2020: 1-6 - [c67]Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC 2020: 1-6 - [c66]Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC 2020: 1-6 - [c65]Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. DATE 2020: 1265-1270 - [c64]Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu:
Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI 2020: 39-44 - [c63]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI 2020: 125-130 - [c62]Shaahin Angizi, Wei Zhang, Deliang Fan:
Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. ACM Great Lakes Symposium on VLSI 2020: 277-282 - [c61]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Redundant Neurons and Shared Redundant Synapses for Robust Memristor-based DNNs with Reduced Overhead. ACM Great Lakes Symposium on VLSI 2020: 339-344 - [c60]Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li:
FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface. ISLPED 2020: 127-132 - [c59]Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan:
Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC 2020: 117-122 - [c58]Fan Yao, Adnan Siraj Rakin, Deliang Fan:
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. USENIX Security Symposium 2020: 1463-1480 - [i33]Fan Yao, Adnan Siraj Rakin, Deliang Fan:
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. CoRR abs/2003.13746 (2020) - [i32]Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR abs/2007.12336 (2020) - [i31]Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. CoRR abs/2008.06177 (2020) - [i30]Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan:
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR abs/2009.05668 (2020) - [i29]Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR abs/2009.05681 (2020) - [i28]Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan:
MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. CoRR abs/2009.06119 (2020) - [i27]Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan:
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. CoRR abs/2011.03006 (2020) - [i26]Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR abs/2011.12511 (2020) - [i25]Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR abs/2012.01362 (2020)
2010 – 2019
- 2019
- [c57]Shaahin Angizi, Zhezhi He, Deliang Fan:
ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. ASP-DAC 2019: 127-132 - [c56]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Handling stuck-at-faults in memristor crossbar arrays using matrix transformations. ASP-DAC 2019: 438-443 - [c55]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forest. CVPR Workshops 2019: 105-114 - [c54]Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR 2019: 588-597 - [c53]Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. CVPR 2019: 11438-11446 - [c52]Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan:
Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. DAC 2019: 57 - [c51]Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. DAC 2019: 144 - [c50]Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. DATE 2019: 378-383 - [c49]Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, Tania Roy:
Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor. DRC 2019: 193-194 - [c48]Shaahin Angizi, Deliang Fan:
GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing. ACM Great Lakes Symposium on VLSI 2019: 45-50 - [c47]Li Yang, Zhezhi He, Deliang Fan:
Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. ACM Great Lakes Symposium on VLSI 2019: 347-350 - [c46]Shaahin Angizi, Deliang Fan:
ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations. ICCAD 2019: 1-8 - [c45]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV 2019: 1211-1220 - [c44]Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience. ISQED 2019: 8-13 - [c43]Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan:
Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI 2019: 197-202 - [c42]Adnan Siraj Rakin, Deliang Fan:
Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector. ISVLSI 2019: 332-337 - [c41]Shaahin Angizi, Deliang Fan:
Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach. NANOARCH 2019: 1-6 - [c40]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV 2019: 913-921 - [i24]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR abs/1903.12269 (2019) - [i23]Shaahin Angizi, Deliang Fan:
Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform. CoRR abs/1904.05782 (2019) - [i22]Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. CoRR abs/1904.07864 (2019) - [i21]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR abs/1905.13074 (2019) - [i20]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forests. CoRR abs/1906.06765 (2019) - [i19]Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i18]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack with Bit Trojan. CoRR abs/1909.05193 (2019) - [i17]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. CoRR abs/1911.12352 (2019) - 2018
- [j11]Farhana Parveen, Shaahin Angizi, Deliang Fan:
IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM. ACM J. Emerg. Technol. Comput. Syst. 14(3): 35:1-35:18 (2018) - [j10]Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan:
Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(9): 1788-1801 (2018) - [j9]Yu Bai, Deliang Fan, Mingjie Lin:
Stochastic-Based Synapse and Soft-Limiting Neuron with Spintronic Devices for Low Power and Robust Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. 4(3): 463-476 (2018) - [j8]Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan:
Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. 4(4): 676-685 (2018) - [c39]Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan:
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC 2018: 111-116 - [c38]Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan:
HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC 2018: 361-366 - [c37]Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC 2018: 105:1-105:6 - [c36]Shaahin Angizi, Zhezhi He, Deliang Fan:
PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. DAC 2018: 162:1-162:6 - [c35]Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan:
Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI 2018: 397-402 - [c34]Shaahin Angizi, Zhezhi He, Deliang Fan:
DIMA: a depthwise CNN in-memory accelerator. ICCAD 2018: 122 - [c33]Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan:
PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD 2018: 266-273 - [c32]Li Yang, Zhezhi He, Deliang Fan:
A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. ISLPED 2018: 50:1-50:6 - [c31]Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan:
BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI 2018: 130-135 - [c30]Zhezhi He, Shaahin Angizi, Deliang Fan:
Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. ISVLSI 2018: 533-538 - [c29]Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. WACV 2018: 1215-1224 - [i16]Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan:
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR abs/1802.01549 (2018) - [i15]Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. CoRR abs/1802.02679 (2018) - [i14]Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan:
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR abs/1807.06714 (2018) - [i13]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. CoRR abs/1807.07948 (2018) - [i12]Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. CoRR abs/1810.01018 (2018) - [i11]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR abs/1811.09310 (2018) - 2017
- [j7]Soheil Salehi, Deliang Fan, Ronald F. DeMara:
Survey of STT-MRAM Cell Design Strategies: Taxonomy and Sense Amplifier Tradeoffs for Resiliency. ACM J. Emerg. Technol. Comput. Syst. 13(3): 48:1-48:16 (2017) - [j6]Karthik Yogendra, Chamika M. Liyanagedera, Deliang Fan, Yong Shim, Kaushik Roy:
Coupled Spin-Torque Nano-Oscillator-Based Computation: A Simulation Study. ACM J. Emerg. Technol. Comput. Syst. 13(4): 56:1-56:24 (2017) - [j5]Arman Roohi, Ramtin Zand, Deliang Fan, Ronald F. DeMara:
Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(12): 2134-2138 (2017) - [j4]Zhezhi He, Deliang Fan:
Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices. IEEE Trans. Emerg. Top. Comput. 5(2): 223-237 (2017) - [c28]Zhezhi He, Deliang Fan:
A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. DATE 2017: 350-355 - [c27]Shaahin Angizi, Zhezhi He, Deliang Fan:
Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. ACM Great Lakes Symposium on VLSI 2017: 77-82 - [c26]Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan:
Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. ACM Great Lakes Symposium on VLSI 2017: 83-88 - [c25]Qutaiba Alasad, Jiann-Shiun Yuan, Deliang Fan:
Leveraging All-Spin Logic to Improve Hardware Security. ACM Great Lakes Symposium on VLSI 2017: 491-494 - [c24]Meng Yang, John P. Hayes, Deliang Fan, Weikang Qian:
Design of accurate stochastic number generators with noisy emerging devices for stochastic computing. ICCAD 2017: 638-644 - [c23]Zhezhi He, Shaahin Angizi, Deliang Fan:
Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. ICCD 2017: 439-446 - [c22]Deliang Fan, Shaahin Angizi:
Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM. ICCD 2017: 609-612 - [c21]Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan:
Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS 2017: 1-4 - [c20]Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan:
Low power in-memory computing based on dual-mode SOT-MRAM. ISLPED 2017: 1-6 - [c19]Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan:
Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. ISQED 2017: 391-396 - [c18]Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan:
RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. ISVLSI 2017: 45-50 - [c17]Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan:
Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI 2017: 152-157 - [c16]Deliang Fan, Shaahin Angizi, Zhezhi He:
In-Memory Computing with Spintronic Devices. ISVLSI 2017: 683-688 - [c15]Deliang Fan, Zhezhi He, Shaahin Angizi:
Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. MWSCAS 2017: 1109-1112 - [c14]Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan:
High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH 2017: 97-102 - [c13]Shaahin Angizi, Deliang Fan:
IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network. NCS 2017: 3:1-3:8 - [i10]Zhezhi He, Shaahin Angizi, Deliang Fan:
Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. CoRR abs/1702.04814 (2017) - [i9]Zhezhi He, Deliang Fan:
Developing All-Skyrmion Spiking Neural Network. CoRR abs/1705.02995 (2017) - 2016
- [j3]Xuanyao Fong, Yusung Kim, Karthik Yogendra, Deliang Fan, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy:
Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(1): 1-22 (2016) - [j2]Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy:
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1907-1919 (2016) - [c12]Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy:
Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. ASP-DAC 2016: 115-120 - [c11]Karthik Yogendra, Deliang Fan, Yong Shim, Minsuk Koo, Kaushik Roy:
Computing with coupled Spin Torque Nano Oscillators. ASP-DAC 2016: 312-317 - [c10]Deliang Fan:
Ultra-Low Energy Reconfigurable Spintronic Threshold Logic Gate. ACM Great Lakes Symposium on VLSI 2016: 385-388 - [c9]Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan:
Spin torque nano-oscillator based Oscillatory Neural Network. IJCNN 2016: 1387-1394 - [c8]Zhezhi He, Deliang Fan:
A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. ISLPED 2016: 314-319 - [c7]Deliang Fan:
Low power in-memory computing platform with four Terminal magnetic Domain Wall Motion devices. NANOARCH 2016: 153-158 - 2015
- [b1]Deliang Fan:
Boolean and brain-inspired computing using spin-transfer torque devices. Purdue University, USA, 2015 - [j1]Kaushik Roy, Deliang Fan, Xuanyao Fong, Yusung Kim, Mrigank Sharad, Somnath Paul, Subho Chatterjee, Swarup Bhunia, Saibal Mukhopadhyay:
Exploring Spin Transfer Torque Devices for Unconventional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 5(1): 5-16 (2015) - 2014
- [c6]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Brain-inspired computing with spin torque devices. DATE 2014: 1-6 - [c5]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Computing with Spin-Transfer-Torque Devices: Prospects and Perspectives. ISVLSI 2014: 398-402 - [i8]Deliang Fan, Mrigank Sharad, Kaushik Roy:
Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic. CoRR abs/1402.2648 (2014) - [i7]Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy:
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. CoRR abs/1402.2902 (2014) - [i6]Deliang Fan, Yong Shim, Anand Raghunathan, Kaushik Roy:
STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks. CoRR abs/1412.8648 (2014) - 2013
- [c4]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra low power associative computing with spin neurons and resistive crossbar memory. DAC 2013: 107:1-107:6 - [c3]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Exploring Boolean and non-Boolean computing with spin torque devices. ICCAD 2013: 576-580 - [c2]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. ISLPED 2013: 139-142 - [c1]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Low power and compact mixed-mode signal processing hardware using spin-neurons. ISQED 2013: 189-195 - [i5]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra Low Power Associative Computing with Spin Neurons and Resistive Crossbar Memory. CoRR abs/1304.2281 (2013) - [i4]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Exploring Boolean and Non-Boolean Computing Applications of Spin Torque Devices. CoRR abs/1308.2745 (2013) - [i3]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra-low Energy, High Performance and Programmable Magnetic Threshold Logic. CoRR abs/1308.4169 (2013) - [i2]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra-low Energy, High-Performance Dynamic Resistive Threshold Logic. CoRR abs/1308.4672 (2013) - [i1]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers. CoRR abs/1309.3303 (2013)
Coauthor Index
[j30] [c105] [j22] [c94] [j19] [c84] [c83] [c80] [c78] [j15] [j14] [j13] [c72] [c68] [c65] [c64] [c62] [c59] [i31] [i28] [c57] [c51] [c50] [c48] [c46] [c44] [c43] [c41] [i23] [i22] [j11] [j10] [j8] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c27] [c26] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i10]
[j31] [i44] [j26] [j23] [c99] [i41] [c85] [c81] [c79] [c76] [i39] [i37] [j17] [j15] [j13] [c73] [c70] [c69] [c67] [c66] [c63] [c59] [i32] [i30] [i29] [i26] [c57] [c54] [c53] [c52] [c49] [c47] [c45] [c43] [c40] [i24] [i21] [i19] [i18] [j10] [j8] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i16] [i13] [i12] [i11] [j4] [c28] [c27] [c26] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i10] [i9] [c8]
Jae-sun Seo
aka: Jae-Sun Seo
aka: Jae-Sun Seo
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