Conference

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.

One paper on “Decentralized Unsupervised Learning of Visual Representations” is accepted by the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI'2022).

Two papers on “Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation” and “SplitNets{:} Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems” are accepted by CVPR'2022.