Yandong Luo

29 papers A 3C 2Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding.
CoRR
Lingjun Zhao, Yandong Luo, James Hay, Lu Gan
2025 J jnl
Towards Tighter Convex Relaxation of Mixed-integer Programs: Leveraging Logic Network Flow for Task and Motion Planning.
CoRR
Xuan Lin, Jiming Ren, Yandong Luo, Weijun Xie, Ye Zhao
2024 J jnl
A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS).
IEEE Trans. Emerg. Top. Comput.
Yandong Luo, Johan Vanderhaegen, Oleg Rybakov, Martin Kraemer, Niel Warren, Shimeng Yu
2024 — conf
Co-Optimization for Robust Power Delivery Design in 3D-Heterogeneous Integration of Compute In-Memory Accelerators.
VLSI Technology and Circuits
Ankit Kaul, Madison Manley, James Read, Yandong Luo, Xiaochen Peng, Shimeng Yu, Muhannad S. Bakir
2024 J jnl
Endurance-Aware Compiler for 3-D Stackable FeRAM as Global Buffer in TPU-Like Architecture.
IEEE Trans. Very Large Scale Integr. Syst.
Yuan-Chun Luo, Anni Lu, Yandong Luo, Sou-Chi Chang, Uygar Avci, Shimeng Yu
2024 — —
Energy-efficient On-chip Deep Neural Network (DNN) Inference and Training with Emerging Non-volatile Memory Technologies.
Yandong Luo
2024 J jnl
H3D-Transformer: A Heterogeneous 3D (H3D) Computing Platform for Transformer Model Acceleration on Edge Devices.
ACM Trans. Design Autom. Electr. Syst.
Yandong Luo, Shimeng Yu
2023 A conf
RAWAtten: Reconfigurable Accelerator for Window Attention in Hierarchical Vision Transformers.
DATE
Wantong Li, Yandong Luo, Shimeng Yu
2022 J jnl
A Compute-in-Memory Hardware Accelerator Design With Back-End-of-Line (BEOL) Transistor Based Reconfigurable Interconnect.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Yandong Luo, Sourav Dutta, Ankit Kaul, Sung Kyu Lim, Muhannad S. Bakir, Suman Datta, Shimeng Yu
2022 J jnl
A Ferroelectric-Based Volatile/Non-Volatile Dual-Mode Buffer Memory for Deep Neural Network Accelerators.
IEEE Trans. Computers
Yandong Luo, Yuan-Chun Luo, Shimeng Yu
2022 J jnl
Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse.
ACM J. Emerg. Technol. Comput. Syst.
Yandong Luo, Panni Wang, Shimeng Yu
2022 — conf
Performance Benchmarking of Spin-Orbit Torque Magnetic RAM (SOT-MRAM) for Deep Neural Network (DNN) Accelerators.
IMW
Yandong Luo, Piyush Kumar, Yu-Ching Liao, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Azad Naeemi, Shimeng Yu
2022 J jnl
Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Saurabh Dash, Yandong Luo, Anni Lu, Shimeng Yu, Saibal Mukhopadhyay
2021 A conf
A FeRAM based Volatile/Non-volatile Dual-mode Buffer Memory for Deep Neural Network Training.
DATE
Yandong Luo, Yuan-Chun Luo, Shimeng Yu
2021 A conf
A Runtime Reconfigurable Design of Compute-in-Memory based Hardware Accelerator.
DATE
Anni Lu, Xiaochen Peng, Yandong Luo, Shanshi Huang, Shimeng Yu
2021 J jnl
A Runtime Reconfigurable Design of Compute-in-Memory-Based Hardware Accelerator for Deep Learning Inference.
ACM Trans. Design Autom. Electr. Syst.
Anni Lu, Xiaochen Peng, Yandong Luo, Shanshi Huang, Shimeng Yu
2021 J jnl
AILC: Accelerate On-Chip Incremental Learning With Compute-in-Memory Technology.
IEEE Trans. Computers
Yandong Luo, Shimeng Yu
2021 C conf
Exploiting Process Variations to Protect Machine Learning Inference Engine from Chip Cloning.
ISCAS
Shanshi Huang, Xiaochen Peng, Hongwu Jiang, Yandong Luo, Shimeng Yu
2021 J jnl
RRAM for Compute-in-Memory: From Inference to Training.
IEEE Trans. Circuits Syst. I Regul. Pap.
Shimeng Yu, Wonbo Shim, Xiaochen Peng, Yandong Luo
2021 J jnl
Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum.
Complex.
Yandong Luo, Jianwen Guo, Zhenpeng Lao, Shaohui Zhang, Xiaohui Yan
2021 — conf
Thermal Reliability Considerations of Resistive Synaptic Devices for 3D CIM System Performance.
3DIC
Ankit Kaul, Yandong Luo, Xiaochen Peng, Shimeng Yu, Muhannad S. Bakir
2020 C conf
A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out.
ISCAS
Yandong Luo, Xiaochen Peng, Ryan Hatcher, Titash Rakshit, Jorge Kittl, Mark S. Rodder, Jae-sun Seo, Shimeng Yu
2020 J jnl
Accelerating Deep Neural Network In-Situ Training With Non-Volatile and Volatile Memory Based Hybrid Precision Synapses.
IEEE Trans. Computers
Yandong Luo, Shimeng Yu
2020 — conf
Benchmark Non-volatile and Volatile Memory Based Hybrid Precision Synapses for In-situ Deep Neural Network Training.
ASP-DAC
Yandong Luo, Shimeng Yu
2020 J jnl
Benchmark of the Compute-in-Memory-Based DNN Accelerator With Area Constraint.
IEEE Trans. Very Large Scale Integr. Syst.
Anni Lu, Xiaochen Peng, Yandong Luo, Shimeng Yu
2020 — conf
Impact of Read Disturb on Multilevel RRAM based Inference Engine: Experiments and Model Prediction.
IRPS
Wonbo Shim, Yandong Luo, Jae-sun Seo, Shimeng Yu
2019 — conf
MLP+NeuroSimV3.0: Improving On-chip Learning Performance with Device to Algorithm Optimizations.
ICONS
Yandong Luo, Xiaochen Peng, Shimeng Yu
2019 J jnl
Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning.
IEEE Micro
Shihui Yin, Jae-sun Seo, Yulhwa Kim, Xu Han, Hugh J. Barnaby, Shimeng Yu, Yandong Luo, Wangxin He, Xiaoyu Sun, Jae-Joon Kim
2018 — conf
Robot Chain Based Self-organizing Search Method of Swarm Robotics.
ICIC (1)
Yandong Luo, Jianwen Guo, Zhibin Zeng, Chengzhi Chen, Xiaoyan Li, Jiapeng Wu