Ke Xu

27 papers A* 7Misc 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A rate-distortion optimal evolutionary algorithm under the fixed bit-rate constraints for the JPEG quantization table optimization.
Appl. Soft Comput.
Qijun Wang, Hongyan Wei, Ke Xu, Bo Du, Xingyi Zhang
2026 A* conf
DeFT-LoRA: Decoupled and Fused Tuning with LoRA Experts for Universal Cross-Domain Retrieval.
AAAI
Ke Xu, Xiaozheng Shen, Shanshan Wang, Mengzhu Wang, Xun Yang
2026 J jnl
Feature Responsive LoRA: Toward Parameter-Efficient Transfer Learning for Self-Supervised Visual Models.
IEEE Trans. Circuits Syst. Video Technol.
Shanshan Wang, Xiaozheng Shen, Xun Yang, Ke Xu, Xingyi Zhang
2024 J jnl
BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima.
Appl. Intell.
Han Pu, Dezheng Zhang, Ke Xu, Ruchan Mo, Zhihong Yan, Dong Wang
2024 A* conf
Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling.
AAAI
Shanshan Wang, Zhen Zeng, Xun Yang, Ke Xu, Xingyi Zhang
2024 A* conf
Dual-stream Feature Augmentation for Domain Generalization.
ACM Multimedia
Shanshan Wang, ALuSi, Xun Yang, Ke Xu, Huibin Tan, Xingyi Zhang
2024 J jnl
Dual-stream Feature Augmentation for Domain Generalization.
CoRR
Shanshan Wang, ALuSi, Xun Yang, Ke Xu, Huibin Tan, Xingyi Zhang
2024 J jnl
Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search.
IEEE Trans. Emerg. Top. Comput. Intell.
Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian, Xingyi Zhang
2024 J jnl
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification.
Swarm Evol. Comput.
Qijun Wang, Yong Liu, Ke Xu, Yanni Dong, Fan Cheng, Ye Tian, Bo Du, Xingyi Zhang
2024 A* conf
PTMQ: Post-training Multi-Bit Quantization of Neural Networks.
AAAI
Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang
2023 A* conf
EQ-Net: Elastic Quantization Neural Networks.
ICCV
Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang
2023 J jnl
EQ-Net: Elastic Quantization Neural Networks.
CoRR
Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang
2022 J jnl
An OpenCL-Based FPGA Accelerator for Faster R-CNN.
Entropy
Jianjing An, Dezheng Zhang, Ke Xu, Dong Wang
2022 A* conf
MultiQuant: Training Once for Multi-bit Quantization of Neural Networks.
IJCAI
Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang
2022 J jnl
TA-BiDet: Task-aligned binary object detector.
Neurocomputing
Han Pu, Ke Xu, Dezheng Zhang, Li Liu, Lingzhi Liu, Dong Wang
2021 J jnl
A dedicated hardware accelerator for real-time acceleration of YOLOv2.
J. Real Time Image Process.
Ke Xu, Xiaoyun Wang, Xinyang Liu, Changfeng Cao, Huolin Li, Haiyong Peng, Dong Wang
2021 — conf
Edge-Wise One-Level Global Pruning on NAS Generated Networks.
PRCV (4)
Qiantai Feng, Ke Xu, Yuhai Li, Yuxin Sun, Dong Wang
2021 J jnl
Fast and Accurate Object Detection in Remote Sensing Images Based on Lightweight Deep Neural Network.
Sensors
Lei Lang, Ke Xu, Qian Zhang, Dong Wang
2021 J jnl
GenExp: Multi-objective pruning for deep neural network based on genetic algorithm.
Neurocomputing
Ke Xu, Dezheng Zhang, Jianjing An, Li Liu, Lingzhi Liu, Dong Wang
2020 J jnl
An FPGA-Based Hardware Accelerator for Real-Time Block-Matching and 3D Filtering.
IEEE Access
Dong Wang, Jia Xu, Ke Xu
2020 J jnl
DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dong Wang, Ke Xu, Jingning Guo, Soheil Ghiasi
2020 J jnl
Sparse-YOLO: Hardware/Software Co-Design of an FPGA Accelerator for YOLOv2.
IEEE Access
Zixiao Wang, Ke Xu, Shuaixiao Wu, Li Liu, Lingzhi Liu, Dong Wang
2019 Misc conf
A Scalable OpenCL-Based FPGA Accelerator for YOLOv2.
FCCM
Ke Xu, Xiaoyun Wang, Dong Wang
2019 A* conf
ABM-SpConv: A Novel Approach to FPGA-Based Acceleration of Convolutional Neural Network Inference.
DAC
Dong Wang, Ke Xu, Qun Jia, Soheil Ghiasi
2018 — conf
A Scalable FPGA Accelerator for Convolutional Neural Networks.
ACA
Ke Xu, Xiaoyun Wang, Shihang Fu, Dong Wang
2017 — conf
PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks.
FPT
Dong Wang, Ke Xu, Diankun Jiang
2016 J jnl
PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks.
CoRR
Dong Wang, Jianjing An, Ke Xu