Lingzhi Liu

Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter

Yu Wang, Huazhong Yang, Guohao Dai, 2022, International Conference on Mobile Data Management.

An Efficient Hardware Accelerator for Sparse Transformer Neural Networks

Zhongfeng Wang, Jun Lin, Ming-Kai Hsu, 2022, 2022 IEEE International Symposium on Circuits and Systems (ISCAS).

TA-BiDet: Task-aligned binary object detector

Li Liu, Dezheng Zhang, Ke Xu, 2022, Neurocomputing.

Sparse-YOLO: Hardware/Software Co-Design of an FPGA Accelerator for YOLOv2

Dong Wang, Ke Xu, Zixiao Wang, 2020, IEEE Access.

Environmentally responsive amino acid-bioconjugated dynamic covalent copolymer as a versatile scaffold for conjugation

Lin Wang, Li-bin Wu, Li Liu, 2015 .

GenExp: Multi-objective pruning for deep neural network based on genetic algorithm

Jianjing An, Lingzhi Liu, Dong Wang, 2021, Neurocomputing.

An OpenCL-Based FPGA Accelerator with the Winograd’s Minimal Filtering Algorithm for Convolution Neuron Networks

Dong Wang, Li Liu, Zhihong Bai, 2019, 2019 IEEE 5th International Conference on Computer and Communications (ICCC).