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ORCIDYiran Chen 0001
Person information
- affiliation: Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- affiliation (since 2010): University of Pittsburgh, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- affiliation (2007 - 2010): Seagate Technologies, Inc., Bloomington, MN, USA
- affiliation (2005 - 2007): Synopsys Inc., Mountain View, CA, USA
- affiliation (PhD 2005): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Yiran Chen 0002
![[0000-0003-4801-2716]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4801-2716")
— Xidian University, School of Electronic Engineering, Xi'an, China - Yiran Chen 0003 — Peking University, Institute of Remote Sensing and Geographical Information Systems, Beijing, China
- Yiran Chen 0004 — University of California, Department of Radiology and Biomedical Imaging, San Francisco, CA, USA
- Yiran Chen 0005 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Yiran Chen 0006 — Beijing Normal University, College of Information Science and Technology, Beijing, China
- Yiran Chen 0007 — Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China
- Yiran Chen 0008 — McGill University, McGill Vision Research, Montreal, Canada
- Yiran Chen 0009 — Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Beijing, China
- Yiran Chen 0010 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China
- Yiran Chen 0011 — Nankai University, College of Software, Tianjin, China
- Yiran Chen 0012 — Alibaba Group, Beijing, China
- Yiran Chen 0013 — ByteDance AI Lab, Shanghai, China (and 1 more)
- Yiran Chen 0014 — Wuhan University, Institute for Advanced Study, Wuhan, China
- Yiran Chen 0015 — Chongqing University, State Key Lab of Mechanic Transmission, China
- Yiran Chen 0016 — Chongqing Institute of Engineering, College of Big Data and Artificial Intelligence, China
- Yiran Chen 0017 — University of Pennsylvania, Department of Linguistics, PA, USA
- Yiran Chen 0018 — Abo Akademi University, Turku, Finland
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2020 – today
- 2023
[j135]Shiyan Hu, Yiran Chen, Qi Zhu, Armando Walter Colombo:
Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems. IEEE Trans Autom. Sci. Eng. 20(1): 3-4 (2023)- [j134]Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen:
DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers 72(3): 880-892 (2023) - [j133]Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Jiang Hu, Yiran Chen:
The Dark Side: Security and Reliability Concerns in Machine Learning for EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1171-1184 (2023) - [j132]Ziru Li, Qilin Zheng, Yiran Chen, Hai Helen Li:
SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons. IEEE Trans. Circuits Syst. II Express Briefs 70(6): 1876-1880 (2023) - [j131]Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. 34(2): 867-881 (2023) - [c316]Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen:
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) 2023: 1128-1136 - [c315]Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, Yiran Chen:
Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction. ASP-DAC 2023: 58-63 - [c314]Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, Yiran Chen:
Rethink before Releasing Your Model: ML Model Extraction Attack in EDA. ASP-DAC 2023: 252-257 - [c313]Xiaoxuan Yang, Shiyu Li, Qilin Zheng, Yiran Chen:
Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design. ASP-DAC 2023: 618-623 - [c312]Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen:
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) 2023: 134-146 - [c311]Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li:
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. DAC 2023: 1-6 - [c310]Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li:
Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. DAC 2023: 1-6 - [c309]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML 2023: 41354-41381 - [c308]Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. IJCAI 2023: 773-781 - [c307]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV 2023: 1298-1307 - [c306]Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu:
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV 2023: 4690-4698 - [c305]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li:
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV 2023: 5520-5529 - [c304]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW 2023: 1199-1207 - [i99]Patrick Bowen, Guy Regev, Nir Regev, Bruno Pedroni, Edward Hanson, Yiran Chen:
Analog, In-memory Compute Architectures for Artificial Intelligence. CoRR abs/2302.06417 (2023) - [i98]Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li:
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. CoRR abs/2303.13997 (2023) - [i97]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li:
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR abs/2303.14531 (2023) - [i96]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR abs/2303.16270 (2023) - [i95]Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen:
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. CoRR abs/2303.18178 (2023) - [i94]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen:
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR abs/2305.05644 (2023) - [i93]Lin Duan, Jingwei Sun, Yiran Chen, Maria Gorlatova:
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. CoRR abs/2306.07973 (2023) - [i92]Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li:
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR abs/2306.09301 (2023) - [i91]Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. CoRR abs/2307.03110 (2023) - [i90]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. CoRR abs/2308.06634 (2023) - [i89]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. CoRR abs/2308.08321 (2023) - 2022
- [j130]Xiaoxuan Yang, Changming Wu, Mo Li, Yiran Chen:
Tolerating Noise Effects in Processing-in-Memory Systems for Neural Networks: A Hardware-Software Codesign Perspective. Adv. Intell. Syst. 4(8) (2022) - [j129]Yiran Chen, Sherief Reda:
ISLPED 2021: The 25th Anniversary! IEEE Des. Test 39(1): 92-93 (2022) - [j128]Youhui Zhang, Yiran Chen, Yuanyuan Mi:
Editorial: Machine learning for computational neural modeling and data analyses. Frontiers Comput. Neurosci. 16 (2022) - [j127]Nathan Inkawhich, Jingyang Zhang, Eric K. Davis, Ryan Luley, Yiran Chen:
Improving Out-of-Distribution Detection by Learning From the Deployment Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2070-2086 (2022) - [j126]Yiran Chen, Qinru Qiu:
Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. IEEE Trans. Computers 71(11): 2705-2706 (2022) - [j125]Taozhong Li, Naifeng Jing, Zhigang Mao, Yiran Chen:
A Hybrid-Grained Remapping Defense Scheme Against Hard Failures for Row-Column-NVM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1842-1854 (2022) - [j124]Chengning Wang, Dan Feng, Wei Tong, Jingning Liu, Bing Wu, Yiran Chen:
Space-Time-Efficient Modeling of Large-Scale 3-D Cross-Point Memory Arrays by Operation Adaption and Network Compaction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3479-3491 (2022) - [j123]Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, Yiran Chen:
Preplacement Net Length and Timing Estimation by Customized Graph Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4667-4680 (2022) - [j122]Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao Yang, Yiran Chen, Li Jiang:
IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5313-5326 (2022) - [j121]Qilin Zheng, Xingchen Li, Yijin Guan, Zongwei Wang, Yimao Cai, Yiran Chen, Guangyu Sun, Ru Huang:
PIMulator-NN: An Event-Driven, Cross-Level Simulation Framework for Processing-In-Memory-Based Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5464-5475 (2022) - [j120]Xiaoxuan Yang, Brady Taylor, Ailong Wu, Yiran Chen, Leon O. Chua:
Research Progress on Memristor: From Synapses to Computing Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 1845-1857 (2022) - [j119]Brady Taylor, Qilin Zheng, Ziru Li, Shiyu Li, Yiran Chen:
Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2598-2603 (2022) - [j118]Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen:
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(3): 33:1-33:21 (2022) - [j117]Vikas Chandra, Yiran Chen, Sungjoo Yoo:
Introduction to the Special Section on Energy-Efficient AI Chips. ACM Trans. Design Autom. Electr. Syst. 27(5): 41:1-41:2 (2022) - [j116]Taozhong Li, Naifeng Jing, Jianfei Jiang, Qin Wang, Zhigang Mao, Yiran Chen:
A Novel Architecture Design for Output Significance Aligned Flow with Adaptive Control in ReRAM-based Neural Network Accelerator. ACM Trans. Design Autom. Electr. Syst. 27(6): 57:1-57:22 (2022) - [c303]Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen:
On Building Efficient and Robust Neural Network Designs. IEEECONF 2022: 317-321 - [c302]Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo:
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. ASP-DAC 2022: 166-171 - [c301]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c300]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c299]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CVPR Workshops 2022: 107-113 - [c298]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c297]Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen:
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC 2022: 25-30 - [c296]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen:
Towards collaborative intelligence: routability estimation based on decentralized private data. DAC 2022: 961-966 - [c295]Ziru Li, Qilin Zheng, Bonan Yan, Ru Huang, Bing Li, Yiran Chen:
ASTERS: adaptable threshold spike-timing neuromorphic design with twin-column ReRAM synapses. DAC 2022: 1099-1104 - [c294]Xiangru Chen, Dong Li, Yiran Chen, Jie Xiong:
Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity. HotNets 2022: 53-59 - [c293]Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu:
DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters. ICCAD 2022: 76:1-76:9 - [c292]Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu:
How Good Is Your Verilog RTL Code?: A Quick Answer from Machine Learning. ICCAD 2022: 89:1-89:9 - [c291]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen:
Robustify ML-Based Lithography Hotspot Detectors. ICCAD 2022: 134:1-134:7 - [c290]Jianyi Zhang, Yiran Chen, Jianshu Chen:
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. ICDM (Workshops) 2022: 1-11 - [c289]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - [c288]Zhihui Gao, Ang Li, Dong Li, Jialin Liu, Jie Xiong, Yu Wang, Bing Li, Yiran Chen:
MOM: Microphone based 3D Orientation Measurement. IPSN 2022: 132-144 - [c287]Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen:
Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. ISCA 2022: 522-535 - [c286]Bing Li, Hao Lv, Ying Wang, Yiran Chen:
Security Threat to the Robustness of RRAM-based Neuromorphic Computing System. iSES 2022: 267-271 - [c285]Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen:
An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED 2022: 1-6 - [c284]Bonan Yan, Jeng-Long Hsu, Pang-Cheng Yu, Chia-Chi Lee, Yaojun Zhang, Wenshuo Yue, Guoqiang Mei, Yuchao Yang, Yue Yang, Hai Li, Yiran Chen, Ru Huang:
A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications. ISSCC 2022: 188-190 - [c283]Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl:
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD 2022: 4912-4913 - [c282]Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi:
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS 2022 - [c281]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen:
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [c280]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV 2022: 2907-2916 - [e7]Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson:
ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022. ACM 2022, ISBN 978-1-4503-9789-6 [contents] - [i88]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CoRR abs/2202.10546 (2022) - [i87]Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Yiran Chen:
The Dark Side: Security Concerns in Machine Learning for EDA. CoRR abs/2203.10597 (2022) - [i86]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen:
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR abs/2203.16009 (2022) - [i85]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR abs/2207.07187 (2022) - [i84]Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Self-Trained Proposal Networks for the Open World. CoRR abs/2208.11050 (2022) - [i83]Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen:
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR abs/2209.03839 (2022) - [i82]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR abs/2209.04493 (2022) - [i81]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - [i80]Jianyi Zhang, Yiran Chen, Jianshu Chen:
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. CoRR abs/2210.02729 (2022) - [i79]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i78]Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen:
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR abs/2211.06470 (2022) - [i77]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud. CoRR abs/2211.15759 (2022) - [i76]Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. CoRR abs/2212.14337 (2022) - 2021
- [j115]Oliver Zhang, Cheng Ding, Tânia Pereira, Ran Xiao, Kais Gadhoumi, Karl Meisel, Randall J. Lee, Yiran Chen, Xiao Hu:
Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment. IEEE Access 9: 29736-29745 (2021) - [j114]Feng Liang, Zhichao Tian, Ming Dong, Shuting Cheng, Li Sun, Hai Li, Yiran Chen, Guohe Zhang:
Efficient neural network using pointwise convolution kernels with linear phase constraint. Neurocomputing 423: 572-579 (2021) - [j113]Xiuli Chai, Haiyang Wu, Zhihua Gan, Daojun Han, Yushu Zhang, Yiran Chen:
An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing. Inf. Sci. 556: 305-340 (2021) - [j112]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. 17(2): 18:1-18:2 (2021) - [j111]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. 17(4): 45:1-45:2 (2021) - [j110]Xiuli Chai, Xiangcheng Zhi, Zhihua Gan, Yushu Zhang, Yiran Chen, Jiangyu Fu:
Combining improved genetic algorithm and matrix semi-tensor product (STP) in color image encryption. Signal Process. 183: 108041 (2021) - [j109]Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin E. Tripp, Chris Capraro, Yiran Chen:
Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2942-2955 (2021) - [j108]Nathan Inkawhich, Eric K. Davis, Matthew Inkawhich, Uttam K. Majumder, Yiran Chen:
Training SAR-ATR Models for Reliable Operation in Open-World Environments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3954-3966 (2021) - [j107]Chengning Wang, Dan Feng, Wei Tong, Jingning Liu, Bing Wu, Wei Zhao, Yang Zhang, Yiran Chen:
Improving Write Performance on Cross-Point RRAM Arrays by Leveraging Multidimensional Non-Uniformity of Cell Effective Voltage. IEEE Trans. Computers 70(4): 566-580 (2021) - [j106]Chengning Wang, Dan Feng, Wei Tong, Yu Hua, Jingning Liu, Bing Wu, Wei Zhao, Linghao Song, Yang Zhang, Jie Xu, Xueliang Wei, Yiran Chen:
Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 762-775 (2021) - [j105]Xiaoxiao Liu, Mengjie Mao, Xiuyuan Bi, Hai Helen Li, Yiran Chen:
Exploring Applications of STT-RAM in GPU Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 238-249 (2021) - [j104]Tingwen Huang, Yiran Chen, Zhigang Zeng, Leon O. Chua:
Editorial Special Issue for 50th Birthday of Memristor Theory and Application of Neuromorphic Computing Based on Memristor - Part I. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4417-4418 (2021) - [j103]Tingwen Huang, Yiran Chen, Zhigang Zeng, Leon O. Chua:
Editorial Special Issue for 50th Birthday of Memristor Theory and Application of Neuromorphic Computing Based on Memristor - Part II. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12): 4835-4836 (2021) - [j102]Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen:
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(3): 26:1-26:22 (2021) - [j101]Shiping Wen, Minghui Dong, Yin Yang, Pan Zhou, Tingwen Huang, Yiran Chen:
End-to-End Detection-Segmentation System for Face Labeling. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 457-467 (2021) - [j100]Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 16: 2246-2259 (2021) - [j99]Bo Sun, Yuting Cao, Zhenyuan Guo, Zheng Yan, Shiping Wen, Tingwen Huang, Yiran Chen:
Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1254-1263 (2021) - [j98]Shiping Wen, Huaqiang Wei, Yin Yang, Zhenyuan Guo, Zhigang Zeng, Tingwen Huang, Yiran Chen:
Memristive LSTM Network for Sentiment Analysis. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1794-1804 (2021) - [j97]Shiping Wen, Weiwei Liu, Yin Yang, Pan Zhou, Zhenyuan Guo, Zheng Yan, Yiran Chen, Tingwen Huang:
Multilabel Image Classification via Feature/Label Co-Projection. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 7250-7259 (2021) - [c279]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c278]Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen:
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation. ASP-DAC 2021: 671-677 - [c277]Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic:
AI-Powered IoT System at the Edge. CogMI 2021: 242-251 - [c276]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR 2021: 9311-9319 - [c275]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE 2021: 340-343 - [c274]Fan Chen, Linghao Song, Hai Li, Yiran Chen:
Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE 2021: 1240-1245 - [c273]Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen:
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. EWSN 2021: 13-24 - [c272]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys 2021: 933-940 - [c271]Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen:
Automatic Routability Predictor Development Using Neural Architecture Search. ICCAD 2021: 1-9 - [c270]