Wang, Yu

Towards artificial general intelligence with hybrid Tianjic chip architecture

Pei, J., Deng, L., Song, S., Zhao, M., Zhang, Y., Wu, S., Wang, G., Zou, Z., Wu, Z., He, W., et al. (2019) · Nature

Advanced Memory and Neural ComputingPsychiatry, Mental Health, Neuroscience

Cited by 1,082

33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing

Liu, Q., Gao, B., Yao, P., Wu, D., Chen, J., Pang, Y., Zhang, W., Liao, Y., Xue, C.-X., Chen, W.-H., et al. (2020) · 2020 IEEE International Solid- State Circuits Conference - (ISSCC)

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 308

Stuck-at Fault Tolerance in RRAM Computing Systems

Xia, L., Huangfu, W., Tang, T., Yin, X., Chakrabarty, K., Xie, Y., Wang, Y., & Yang, H. (2018) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Advanced Memory and Neural ComputingVLSI and Analog Circuit Testing

Cited by 177

Towards Real-Time Object Detection on Embedded Systems

Mao, H., Yao, S., Tang, T., Li, B., Yao, J., & Wang, Y. (2018) · IEEE Transactions on Emerging Topics in Computing

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 94

Software-Hardware Codesign for Efficient Neural Network Acceleration

Guo, K., Han, S., Yao, S., Wang, Y., Xie, Y., & Yang, H. (2017) · IEEE Micro

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 78

MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems

Zhu, Z., Sun, H., Qiu, K., Xia, L., Krishnan, G., Dai, G., Niu, D., Chen, X., Hu, X. S., Cao, Y., et al. (2020) · Proceedings of the 2020 on Great Lakes Symposium on VLSI

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 77

A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory

Su, F., Chen, W.-H., Xia, L., Lo, C.-P., Tang, T., Wang, Z., Hsu, K.-H., Cheng, M., Li, J.-Y., Xie, Y., et al. (2017) · 2017 Symposium on VLSI Technology

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 69

FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture

Ning, X., Ge, G., Li, W., Zhu, Z., Zheng, Y., Chen, X., Gao, Z., Wang, Y., & Yang, H. (2021) · ACM Transactions on Design Automation of Electronic Systems

Advanced Neural Network ApplicationsRadiation Effects in Electronics

Cited by 20

Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture

Sun, H., Wang, C., Zhu, Z., Ning, X., Dai, G., Yang, H., & Wang, Y. (2022) · 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 15

Towards LifeSpan Cognitive Systems

Wang, Y., Han, C., Wu, T., He, X., Zhou, W., Sadeq, N., Chen, X., He, Z., Wang, W., Haffari, G., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0