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RCAnalyzer: visual analytics of rare categories in dynamic networks.

J. Pan, D. Han, F. Guo, D. Zhou, N. Cao, J. He, M. Xu, и W. Chen. Frontiers Inf. Technol. Electron. Eng., 21 (4): 491-506 (2020)

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Wei Chen

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Embedded 1-Mb ReRAM-Based Computing-in- Memory Macro With Multibit Input and Weight for CNN-Based AI Edge Processors.C. Xue, T. Chang, T. Chang, H. Kao, Y. Chiu, C. Lee, Y. King, C. Lin, R. Liu, C. Hsieh и 10 other автор(ы). IEEE J. Solid State Circuits, 55 (1): 203-215 (2020)A Neuromorphic Computing System for Bitwise Neural Networks Based on ReRAM Synaptic Array.P. Li, C. Yang, W. Chen, J. Huang, W. Wei, J. Liu, W. Lin, T. Hsu, C. Hsieh, R. Liu и 2 other автор(ы). BioCAS, стр. 1-4. IEEE, (2018)A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors.C. Xue, W. Chen, J. Liu, J. Li, W. Lin, W. Lin, J. Wang, W. Wei, T. Chang, T. Chang и 12 other автор(ы). ISSCC, стр. 388-390. IEEE, (2019)ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data.H. Zhang, W. Chen, J. Rondinelli, и W. Chen. CoRR, (2022)Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning.W. Chen, R. Sun, D. Lee, C. Portela, и W. Chen. CoRR, (2024)Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty.W. Chen, D. Lee, O. Balogun, и W. Chen. CoRR, (2022)Uncertainty-aware Mixed-variable Machine Learning for Materials Design.H. Zhang, W. Chen, A. Iyer, D. Apley, и W. Chen. CoRR, (2022)T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning.D. Lee, Y. Chan, W. Chen, L. Wang, A. van Beek, и W. Chen. CoRR, (2022)Data-Driven Design for Metamaterials and Multiscale Systems: A Review.D. Lee, W. Chen, L. Wang, Y. Chan, и W. Chen. CoRR, (2023)Deep Generative Models for Geometric Design Under Uncertainty.W. Chen, D. Lee, и W. Chen. CoRR, (2021)

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Wei Chen

Wei Chen

Wei Chen

Wei Chen

Wei Chen

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