2023 · Shulin Zeng, Zhenhua Zhu, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 27

PDF

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks

2023 · Xinhao Yang, Tianyu Fu, et al. · Proceedings - ACM IEEE Design Automation Conference · 25

FPGA accelerated model predictive control for autonomous driving

2022 · Yunfei Li, Shengbo Eben Li, et al. · Journal of Intelligent and Connected Vehicles · 25

PDF

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud

2020 · Shulin Zeng, Guohao Dai, et al. · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) · 21

PDF

Systematic Reliability Evaluation of FPGA Implemented CNN Accelerators

2023 · Zhen Gao, Shihui Gao, et al. · IEEE Transactions on Device and Materials Reliability · 20

PDF

Reliability evaluation of FPGA based pruned neural networks

2022 · Zhen Gao, Yi Yao, et al. · Microelectronics Reliability · 20

CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling

2023 · Kai Zhong, Shulin Zeng, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 17

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning

2024 · Kai Zhong, Zhenhua Zhu, et al. · ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 16

Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search

2023 · Zhenhua Zhu, Jun Liu, et al. · Proceedings - ACM IEEE Design Automation Conference · 15

FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs

2025 · Jun Liu, Shulin Zeng, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 14

Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search

2020 · Shulin Zeng, Hanbo Sun, et al. · Asia and South Pacific Design Automation Conference (ASP-DAC) · 12

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks

2022 · Kai Zhong, Xuefei Ning, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 11

A Fine-Grained Sparse Accelerator for Multi-Precision DNN

2019 · Shulin Zeng, Yujun Lin, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 11

An Efficient Reconfigurable Framework for General Purpose CNN-RNN Models on FPGAs

2018 · Shulin Zeng, Kaiyuan Guo, et al. · IEEE International Conference on Digital Signal Processing (DSP) · 11

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud

2021 · Shulin Zeng, Guohao Dai, et al. · ACM Transactions on Reconfigurable Technology and Systems · 10

PDF

TB-STC: Transposable Block-wise N:M Structured Sparse Tensor Core

2025 · Jun Liu, Shulin Zeng, et al. · Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · 9

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots

2020 · Jincheng Yu, Zhilin Xu, et al. · Proceedings - ACM IEEE Design Automation Conference · 8

INCAME: Interruptible CNN Accelerator for Multirobot Exploration

2021 · Jincheng Yu, Zhilin Xu, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 6

Towards Lower Bit Multiplication for Convolutional Neural Network Training.

2020 · Kai Zhong, Tianchen Zhao, et al. · arXiv (Cornell University) · 6

ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer Training

2025 · Wenjin Guo, Donglai Liu, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 5

Works count: 46

Citation count: 962

H-index: 14

I10-index: 20