Conference

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.

One paper on “Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion” is accepted by DATE'2023 as a regular paper. One paper on “READ{:} Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction” is accpeted as an extended abstract.

One paper on “BiT{:} Robustly Binarized Multi-distilled Transformer” is accepted by NeurIPS'2022.

One paper on “DepthShrinker{:} A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks” is accepted by ICML'2022.