PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks. - Dong Wang 040; Jianjing An; Ke Xu 011 (CoRR, 2016)

PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks. - Dong Wang 040; Ke Xu 011; Diankun Jiang (FPT, 2017)

A Scalable FPGA Accelerator for Convolutional Neural Networks. - Ke Xu 011; Xiaoyun Wang 001; Shihang Fu; Dong Wang 040 (ACA, 2018)

ABM-SpConv: A Novel Approach to FPGA-Based Acceleration of Convolutional Neural Network Inference. - Dong Wang 040; Ke Xu 011; Qun Jia; Soheil Ghiasi (DAC, 2019)

A Scalable OpenCL-Based FPGA Accelerator for YOLOv2. - Ke Xu 011; Xiaoyun Wang 001; Dong Wang 040 (FCCM, 2019)

Sparse-YOLO: Hardware/Software Co-Design of an FPGA Accelerator for YOLOv2. - Zixiao Wang 003; Ke Xu 011; Shuaixiao Wu; Li Liu; Lingzhi Liu; Dong Wang 040 (IEEE Access, 2020)

An FPGA-Based Hardware Accelerator for Real-Time Block-Matching and 3D Filtering. - Dong Wang 040; Jia Xu; Ke Xu 011 (IEEE Access, 2020)

DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs. - Dong Wang 040; Ke Xu 011; Jingning Guo; Soheil Ghiasi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Edge-Wise One-Level Global Pruning on NAS Generated Networks. - Qiantai Feng; Ke Xu 011; Yuhai Li; Yuxin Sun; Dong Wang 040 (PRCV (4), 2021)

GenExp: Multi-objective pruning for deep neural network based on genetic algorithm. - Ke Xu 011; Dezheng Zhang; Jianjing An; Li Liu; Lingzhi Liu; Dong Wang 040 (Neurocomputing, 2021)

A dedicated hardware accelerator for real-time acceleration of YOLOv2. - Ke Xu 011; Xiaoyun Wang 001; Xinyang Liu; Changfeng Cao; Huolin Li; Haiyong Peng; Dong Wang 040 (J. Real Time Image Process., 2021)

Fast and Accurate Object Detection in Remote Sensing Images Based on Lightweight Deep Neural Network. - Lei Lang; Ke Xu 011; Qian Zhang; Dong Wang 040 (Sensors, 2021)

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks. - Ke Xu 011; Qiantai Feng; Xingyi Zhang 001; Dong Wang 040 (IJCAI, 2022)

An OpenCL-Based FPGA Accelerator for Faster R-CNN. - Jianjing An; Dezheng Zhang; Ke Xu 011; Dong Wang 040 (Entropy, 2022)

TA-BiDet: Task-aligned binary object detector. - Han Pu; Ke Xu 011; Dezheng Zhang; Li Liu; Lingzhi Liu; Dong Wang 040 (Neurocomputing, 2022)

EQ-Net: Elastic Quantization Neural Networks. - Ke Xu 011; Lei Han; Ye Tian 009; Shangshang Yang; Xingyi Zhang 001 (ICCV, 2023)

Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling. - Shanshan Wang 008; Zhen Zeng; Xun Yang 001; Ke Xu 011; Xingyi Zhang 001 (AAAI, 2024)

PTMQ: Post-training Multi-Bit Quantization of Neural Networks. - Ke Xu 011; Zhongcheng Li; Shanshan Wang 008; Xingyi Zhang 001 (AAAI, 2024)

Dual-stream Feature Augmentation for Domain Generalization. - Shanshan Wang 008; ALuSi; Xun Yang 001; Ke Xu 011; Huibin Tan; Xingyi Zhang 001 (ACM Multimedia, 2024)

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification. - Qijun Wang; Yong Liu 026; Ke Xu 011; Yanni Dong; Fan Cheng 001; Ye Tian 009; Bo Du 001; Xingyi Zhang 001 (Swarm Evol. Comput., 2024)

BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima. - Han Pu; Dezheng Zhang; Ke Xu 011; Ruchan Mo; Zhihong Yan; Dong Wang 040 (Appl. Intell., 2024)

Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search. - Shangshang Yang; Xiangkun Sun; Ke Xu 011; Yuanchao Liu; Ye Tian 009; Xingyi Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)