Conference

One paper on “MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks” is accepted by IEEE CICC'2024.

One paper on “A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation” is accepted by IEEE TCASI'2024.

One paper on “ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer” is accepted by DATE'2024 as a regular paper.

One paper on “Enhancing 3D Detection Through Feature Aligned Deep Fusion” is accepted by 3DV'2024.

One paper on “CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference” is accepted by NeurIPs'2023.

One paper on “MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention” is accepted by ICCV'2023.

Three papers on “Falcon{:} Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference”, “Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization”, and “READ{:} Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction” is accepted by ICCAD'2023 as regular papers.

One paper on “AVATAR- An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing” is accepted by IEEE TCAD.

Dr. Li serves on the TPC of DAC'23 and GLSVLSI'23 as well as the co-chair of DAC'23 Student Design Contest and Ph.D. Forum.

One paper on “Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network” is accepted by DAC'2023 as a regular paper.