Ke Xu 许柯

Publications论文发表

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01

Selected Publications代表性成果

Visual overview for CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection

Ke Xu, Xinle Wang, Yanning Hou, Xueliang Ma, Juan Xie, Jianfeng Qiu

International Conference on Machine Learning (ICML)

Visual overview for VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer

VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer

Yanning Hou, Peiyuan Li, Zirui Liu, Yitong Wang, Yanran Ruan, Jianfeng Qiu, Ke Xu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Visual overview for QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching

QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching

Ke Xu, Yixin Wang, Zhongcheng Li, Hao Cui, Jinshui Hu, Xingyi Zhang

AAAI Conference on Artificial Intelligence (AAAI)

Visual overview for DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs

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

Dong Wang, Ke Xu, Jingning Guo, Soheil Ghiasi

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

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

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

Dong Wang, Ke Xu, Qun Jia, Soheil Ghiasi

Design Automation Conference (DAC)

Visual overview for PipeCNN: An OpenCL-Based Open-Source FPGA Accelerator for Convolution Neural Networks

PipeCNN: An OpenCL-Based Open-Source FPGA Accelerator for Convolution Neural Networks

Dong Wang, Ke Xu, Diankun Jiang

International Conference on Field-Programmable Technology (ICFPT)

02

Other Publications其他成果

2026

2026

FedMGL: Boosting One-Shot Federated Learning via Mixture of Grouped LoRA Experts

Ke Xu, Yixin Wang, Yeming Zhang, Bo Xiao, Cuiqun Chen, Xingyi Zhang

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

2026

GAZE: Grounding-Aware Zone-Adaptive Visual Token Selection with Focal-Spatial Synergy for Efficient MLLMs

Ke Xu, Beibei Han, Jingyuan Zhang, Xiaoyun Wang, Shanshan Wang, Xingyi Zhang

ACM International Conference on Multimedia (ACM MM)

2026

PEQuant: Prompt-Driven Activation Reconstruction for Elastic Quantization of Vision Transformers

Ke Xu, Tianyu Ma, Xiaozheng Shen, Zining Wang, Xiaoyun Wang, Jinyang Guo

ACM International Conference on Multimedia (ACM MM)

2026

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment

Shanshan Wang, Xun Yang, Pichao Wang, Ke Xu, Xingyi Zhang

IEEE Transactions on Image Processing (TIP)

2026

EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression

Ke Xu, Jiaqi Wan, Wenhao Hu, Han Pu, Xiaoyun Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

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

AAAI Conference on Artificial Intelligence (AAAI)

2025

2025

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

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

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

2024

2024

Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search

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

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)

2024

AutoMPQ: Automatic Mixed-Precision Neural Network Search via Few-Shot Quantization Adapter

Ke Xu, Xiangyang Shao, Ye Tian, Shangshang Yang, Xingyi Zhang

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)

2022

2022

MultiQuant: Training Once for Multi-Bit Quantization of Neural Networks

Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang

International Joint Conference on Artificial Intelligence (IJCAI)

2021

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

Journal of Real-Time Image Processing (JRTIP)

2019