Leibo Liu
www.tsinghua-wx.cn
0000-0001-7548-4116
Tsinghua University
22 papers found
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MulTCIM: Digital Computing-in-Memory-Based Multimodal Transformer Accelerator With Attention-Token-Bit Hybrid Sparsity
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane
Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration
STAR: An STGCN ARchitecture for Skeleton-Based Human Action Recognition
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration
SPCIM: Sparsity-Balanced Practical CIM Accelerator With Optimized Spatial-Temporal Multi-Macro Utilization
A 12.1 TOPS/W Quantized Network Acceleration Processor With Effective-Weight-Based Convolution and Error-Compensation-Based Prediction
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes
Erratum to “Evolver: a Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning” [Feb 21 658-673]
Security-Driven Placement and Routing Tools for Electromagnetic Side-Channel Protection
A 460 GOPS/W Improved-Mnemonic-Descent-Method-based Hardwired Accelerator for Face Alignment
Evolver: A Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning
On-Chip Trust Evaluation Utilizing TDC-Based Parameter-Adjustable Security Primitive
A Multi-task Hardwired Accelerator for Face Detection and Alignment
A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications
A Face Alignment Accelerator Based on Optimized Coarse-to-Fine Shape Searching
Face Alignment with Expression- and Pose-Based Adaptive Initialization
Reconfigurable Architecture for Neural Approximation in Multimedia Computing
Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory
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