Ke Xu

According to our database, Ke Xu authored at least 25 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Feature Responsive LoRA: Toward Parameter-Efficient Transfer Learning for Self-Supervised Visual Models.

Shanshan Wang, Xiaozheng Shen, Xun Yang, Ke Xu, Xingyi Zhang

IEEE Trans. Circuits Syst. Video Technol., January, 2026

A rate-distortion optimal evolutionary algorithm under the fixed bit-rate constraints for the JPEG quantization table optimization.

Qijun Wang, Hongyan Wei, Ke Xu, Bo Du, Xingyi Zhang

Appl. Soft Comput., 2026

DeFT-LoRA: Decoupled and Fused Tuning with LoRA Experts for Universal Cross-Domain Retrieval.

Ke Xu, Xiaozheng Shen, Shanshan Wang, Mengzhu Wang, Xun Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024

Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search.

Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian, Xingyi Zhang

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima.

Han Pu, Dezheng Zhang, Ke Xu, Ruchan Mo, Zhihong Yan, Dong Wang

Appl. Intell., April, 2024

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification.

Qijun Wang, Yong Liu, Ke Xu, Yanni Dong, Fan Cheng, Ye Tian, Bo Du, Xingyi Zhang

Swarm Evol. Comput., 2024

Dual-stream Feature Augmentation for Domain Generalization.

Shanshan Wang, ALuSi, Xun Yang, Ke Xu, Huibin Tan, Xingyi Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PTMQ: Post-training Multi-Bit Quantization of Neural Networks.

Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling.

Shanshan Wang, Zhen Zeng, Xun Yang, Ke Xu, Xingyi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EQ-Net: Elastic Quantization Neural Networks.

Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

TA-BiDet: Task-aligned binary object detector.

Han Pu, Ke Xu, Dezheng Zhang, Li Liu, Lingzhi Liu, Dong Wang

Neurocomputing, 2022

An OpenCL-Based FPGA Accelerator for Faster R-CNN.

Jianjing An, Dezheng Zhang, Ke Xu, Dong Wang

Entropy, 2022

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks.

Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Fast and Accurate Object Detection in Remote Sensing Images Based on Lightweight Deep Neural Network.

Lei Lang, Ke Xu, Qian Zhang, Dong Wang

Sensors, 2021

A dedicated hardware accelerator for real-time acceleration of YOLOv2.

Ke Xu, Xiaoyun Wang, Xinyang Liu, Changfeng Cao, Huolin Li, Haiyong Peng, Dong Wang

J. Real Time Image Process., 2021

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

Ke Xu, Dezheng Zhang, Jianjing An, Li Liu, Lingzhi Liu, Dong Wang

Neurocomputing, 2021

Edge-Wise One-Level Global Pruning on NAS Generated Networks.

Qiantai Feng, Ke Xu, Yuhai Li, Yuxin Sun, Dong Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs.

Dong Wang, Ke Xu, Jingning Guo, Soheil Ghiasi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

An FPGA-Based Hardware Accelerator for Real-Time Block-Matching and 3D Filtering.

Dong Wang, Jia Xu, Ke Xu

IEEE Access, 2020

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

Zixiao Wang, Ke Xu, Shuaixiao Wu, Li Liu, Lingzhi Liu, Dong Wang

IEEE Access, 2020

2019

A Scalable OpenCL-Based FPGA Accelerator for YOLOv2.

Ke Xu, Xiaoyun Wang, Dong Wang

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

ABM-SpConv: A Novel Approach to FPGA-Based Acceleration of Convolutional Neural Network Inference.

Dong Wang, Ke Xu, Qun Jia, Soheil Ghiasi

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

A Scalable FPGA Accelerator for Convolutional Neural Networks.

Ke Xu, Xiaoyun Wang, Shihang Fu, Dong Wang

Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

2017

PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks.

Dong Wang, Ke Xu, Diankun Jiang

Proceedings of the International Conference on Field Programmable Technology, 2017

2016

PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks.

Dong Wang, Jianjing An, Ke Xu

CoRR, 2016