Chen, Yiran
Duke University
17 papers on CoChatORCID 0000-0002-1486-8412
Most cited papers
- Verified
A color image cryptosystem based on dynamic DNA encryption and chaos
Chai, X., Fu, X., Gan, Z., Lu, Y., & Chen, Y. (2019) · Signal Processing
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 573
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An image encryption algorithm based on chaotic system and compressive sensing
Chai, X., Zheng, X., Gan, Z., Han, D., & Chen, Y. (2018) · Signal Processing
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 378
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MoDNN: Local distributed mobile computing system for Deep Neural Network
Mao, J., Chen, X., Nixon, K. W., Krieger, C., & Chen, Y. (2017) · Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017
IoT and Edge/Fog ComputingParallel Computing and Optimization Techniques
Cited by 331
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Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar
Chen, L., Li, J., Chen, Y., Deng, Q., Shen, J., Liang, X., & Jiang, L. (2017) · Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 245
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Vortex: variation-aware training for memristor X-bar
Liu, B., Li, H., Chen, Y., Li, X., Wu, Q., & Huang, T. (2015) · Proceedings of the 52nd Annual Design Automation Conference
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 197
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Circuit design and exponential stabilization of memristive neural networks
Wen, S., Huang, T., Zeng, Z., Chen, Y., & Li, P. (2015) · Neural Networks
Neural Networks Stability and SynchronizationStability and Control of Uncertain Systems
Cited by 178
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FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking
Li, A., Sun, J., Zeng, X., Zhang, M., Li, H., & Chen, Y. (2021) · Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 139
- Verified · note
An efficient chaos-based image compression and encryption scheme using block compressive sensing and elementary cellular automata
Chai, X., Fu, X., Gan, Z., Zhang, Y., Lu, Y., & Chen, Y. (2020) · Neural Computing and Applications
Chaos-based Image/Signal EncryptionAdvanced Data Compression Techniques
Cited by 127
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MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs
Mao, J., Yang, Z., Wen, W., Wu, C., Song, L., Nixon, K. W., Chen, X., Li, H., & Chen, Y. (2017) · 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 97
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All VN-graphene architecture derived self-powered wearable sensors for ultrasensitive health monitoring
Yu, L., Yi, Y., Yao, T., Song, Y., Chen, Y., Li, Q., Xia, Z., Wei, N., Tian, Z., Nie, B., et al. (2019) · Nano Research
Advanced Sensor and Energy Harvesting MaterialsSupercapacitor Materials and Fabrication
Cited by 84
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BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Yang, H., Duan, L., Chen, Y., & Li, H. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 45
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TPrune: Efficient Transformer Pruning for Mobile Devices
Mao, J., Yang, H., Li, A., Li, H., & Chen, Y. (2021) · ACM Transactions on Cyber-Physical Systems
Advanced Neural Network ApplicationsTopic Modeling
Cited by 42
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A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Guo, C., Cheng, F., Du, Z., Kiessling, J., Ku, J., Li, S., Li, Z., Ma, M., Molom-Ochir, T., Morris, B., et al. (2025) · IEEE Circuits and Systems Magazine
Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications
Cited by 32
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Tolerating Noise Effects in Processing‐in‐Memory Systems for Neural Networks: A Hardware–Software Codesign Perspective
Yang, X., Wu, C., Li, M., & Chen, Y. (2022) · Advanced Intelligent Systems
Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques
Cited by 22
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KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
Ye, H., Gao, Z., Ma, M., Wang, Q., Fu, Y., Chung, M.-Y., Lin, Y., Liu, Z., Zhang, J., Zhuo, D., et al. (2025) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 4
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H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking
Kuo, M., Zhang, J., Ding, A., Wang, Q., DiValentin, L., Bao, Y., Wei, W., Li, H., & Chen, Y. (2025) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 1
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FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices
Tang, M., Zhang, J., Ma, M., DiValentin, L., Ding, A., Hassanzadeh, A., Li, H., & Chen, Y. (2022) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 0
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