A Survey of FPGA Based Neural Network Accelerator. - Kaiyuan Guo; Shulin Zeng; Jincheng Yu; Yu Wang 002; Huazhong Yang (CoRR, 2017)

An Efficient Reconfigurable Framework for General Purpose CNN-RNN Models on FPGAs. - Shulin Zeng; Kaiyuan Guo; Shaoxia Fang; Junlong Kang; Dongliang Xie; Yi Shan; Yu Wang 002; Huazhong Yang (DSP, 2018)

A Fine-Grained Sparse Accelerator for Multi-Precision DNN. - Shulin Zeng; Yujun Lin 001; Shuang Liang 010; Junlong Kang; Dongliang Xie; Yi Shan; Song Han 003; Yu Wang 002; Huazhong Yang (FPGA, 2019)

[DL] A Survey of FPGA-based Neural Network Inference Accelerators. - Kaiyuan Guo; Shulin Zeng; Jincheng Yu; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2019)

Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. - Shulin Zeng; Hanbo Sun; Yu Xing; Xuefei Ning; Yi Shan; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ASP-DAC, 2020)

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (DAC, 2020)

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Kai Zhong; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FCCM, 2020)

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (FPGA, 2020)

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Kai Zhong; Hanbo Sun; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPGA, 2020)

Optimizing CNN Accelerator With Improved Roofline Model. - Shaoxia Fang; Shulin Zeng; Yu Wang 002 (SoCC, 2020)

Towards Lower Bit Multiplication for Convolutional Neural Network Training. - Kai Zhong; Tianchen Zhao; Xuefei Ning; Shulin Zeng; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (CoRR, 2020)

Ensemble of Pruned Networks for Reliable Classifiers. - Zhen Gao 005; Han Zhang; Xiaohui Wei; Jiajun Xiao; Shulin Zeng; Guangjun Ge; Yu Wang 002; Pedro Reviriego (AICAS, 2021)

Efficient Computing Platform Design for Autonomous Driving Systems. - Shuang Liang 010; Changcheng Tang; Xuefei Ning; Shulin Zeng; Jincheng Yu; Yu Wang 002; Kaiyuan Guo; Diange Yang; Tianyi Lu; Huazhong Yang (ASP-DAC, 2021)

Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems. - Hanbo Sun; Zhenhua Zhu; Yi Cai 003; Shulin Zeng; Kaizhong Qiu; Yu Wang 002; Huazhong Yang (ASP-DAC, 2021)

3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Hongren Zheng; Yusong Wu; Fan Zhang; Xinhao Yang; Yi Cai 003; Yu Wang 002; Huazhong Yang (FPGA, 2021)

Efficient Autonomous Driving System Design: From Software to Hardware. - Yu Wang 002; Shulin Zeng; Kaiyuan Guo; Xuefei Ning; Yali Zhao; Zhongyuan Qiu; Changcheng Tang; Shuang Liang 010; Huazhong Yang (ISVLSI, 2022)

INCAME: Interruptible CNN Accelerator for Multirobot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Zhaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. - Kai Zhong; Xuefei Ning; Guohao Dai; Zhenhua Zhu; Tianchen Zhao; Shulin Zeng; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Shiyao Li; Guangjun Ge; Kai Zhong; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2022)

Soft Error Tolerant Convolutional Neural Networks on FPGAs With Ensemble Learning. - Zhen Gao 005; Han Zhang; Yi Yao; Jiajun Xiao; Shulin Zeng; Guangjun Ge; Yu Wang 002; Anees Ullah; Pedro Reviriego (IEEE Trans. Very Large Scale Integr. Syst., 2022)

NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. - Wentao Hou; Kai Zhong; Shulin Zeng; Guohao Dai; Huazhong Yang; Yu Wang 002 (ASP-DAC, 2023)

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. - Xinhao Yang; Tianyu Fu 004; Guohao Dai; Shulin Zeng; Kai Zhong; Ke Hong; Yu Wang 002 (DAC, 2023)

Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. - Zhenhua Zhu; Jun Liu 071; Guohao Dai; Shulin Zeng; Bing Li; Huazhong Yang; Yu Wang 002 (DAC, 2023)

DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. - Shulin Zeng; Zhenhua Zhu; Jun Liu 071; Haoyu Zhang; Guohao Dai; Zixuan Zhou; Shuangchen Li; Xuefei Ning; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (MICRO, 2023)

Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. - Shulin Zeng; Guohao Dai; Niansong Zhang; Xinhao Yang; Haoyu Zhang; Zhenhua Zhu; Huazhong Yang; Yu Wang 002 (IEEE Trans. Computers, 2023)

CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. - Kai Zhong; Shulin Zeng; Wentao Hou; Guohao Dai; Zhenhua Zhu; Xuecang Zhang; Shihai Xiao; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. - Kai Zhong; Zhenhua Zhu; Guohao Dai; Hongyi Wang; Xinhao Yang; Haoyu Zhang; Jin Si; Qiuli Mao; Shulin Zeng; Ke Hong; Genghan Zhang; Huazhong Yang; et al. (ASPLOS (3), 2024)

DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. - Hongyi Wang; Kai Zhong; Haoyu Zhang; Shulin Zeng; Zhenhua Zhu; Xinhao Yang; Shuang Wang; Guohao Dai; Huazhong Yang; Yu Wang 002 (DAC, 2024)

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. - Shulin Zeng; Jun Liu 071; Guohao Dai; Xinhao Yang; Tianyu Fu 004; Hongyi Wang; Wenheng Ma; Hanbo Sun; Shiyao Li; Zixiao Huang; Yadong Dai; Jintao Li; et al. (FPGA, 2024)

GLITCHES: GPU-FPGA LLM Inference Through a Collaborative Heterogeneous System. - Fan Yang; Xinhao Yang; Hongyi Wang; Zehao Wang; Zhenhua Zhu; Shulin Zeng; Yu Wang 002 (HPEC, 2024)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. - Haoyu Zhang; Jun Liu 071; Zhenhua Zhu; Shulin Zeng; Maojia Sheng; Tao Yang 042; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Towards Accurate and Efficient Sub-8-Bit Integer Training. - Wenjin Guo; Donglai Liu; Weiying Xie; Yunsong Li 001; Xuefei Ning; Zihan Meng; Shulin Zeng; Jie Lei 001; Zhenman Fang; Yu Wang 002 (CoRR, 2024)

An Efficient Flood Detection Method With Satellite Images Based on Algorithm-Hardware Co-Design. - Dingwei Pan; Zhihao Wang; Xueqian Wang 002; Gang Li 008; Shulin Zeng; Yu Wang 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. - Jun Liu 071; Shulin Zeng; Li Ding 012; Widyadewi Soedarmadji; Hao Zhou; Zehao Wang; Jinhao Li 006; Jintao Li; Yadong Dai; Kairui Wen; Shan He; Yaqi Sun; et al. (FPGA, 2025)

FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. - Wenheng Ma; Xinhao Yang; Shulin Zeng; Tengxuan Liu; Libo Shen; Hongyi Wang; Shiyao Li; Jiewen Wang; Yuhan Zhang; Hao Guo; Jintao Li; Ziming Zhang; et al. (FPGA, 2025)

TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. - Jun Liu 071; Shulin Zeng; Junbo Zhao 001; Li Ding 012; Zeyu Wang; Jinhao Li 006; Zhenhua Zhu; Xuefei Ning; Chen Zhang; Yu Wang 002; Guohao Dai (HPCA, 2025)