Xue Geng

According to our database, Xue Geng authored at least 34 papers between 2014 and 2025.

Collaborative distances:

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

2025

Efficient Distortion-Minimized Layerwise Pruning.

Kaixin Xu, Zhe Wang, Runtao Huang, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

CRS-Based Joint CFO and Channel Estimation Using Deep Learning in OFDM-Based Vehicular Communication Systems.

Hong Wu, Zhuo Chen, Zhiang Liu, Xue Geng, Yingxin Zhao, Zhiyang Liu

IEEE Trans. Wirel. Commun., May, 2025

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li

IEEE Trans. Neural Networks Learn. Syst., April, 2025

PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization and Pooling.

Tianyi Zhang, Chunyun Chen, Yun Liu, Xue Geng, Mohamed M. Sabry Aly, Jie Lin

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

A probabilistic optimizer for binary neural networks.

Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Min Wu, Ge Yu, Yuhai Zhao

Neurocomputing, 2025

Exploiting Temporal State Space Sharing for Video Semantic Segmentation.

Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Henghui Ding, Jing Yang, Ender Konukoglu, Xue Geng, Xudong Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models.

Yun Zhang, Xue Geng, Lizi Liao, Jintong Sun, Minghe Yu, Ge Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Attention Guided Multi-Task Network for Joint CFO and Channel Estimation in OFDM Systems.

Zhuo Chen, Zhiang Liu, Xue Geng, Yingxin Zhao, Hong Wu

IEEE Trans. Wirel. Commun., January, 2024

Evolving filter criteria for randomly initialized network pruning in image classification.

Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng

Neurocomputing, 2024

Timing-deviation and frequency-offset estimations for multicarrier transmission in high mobility environments using deep neural network.

Hong Wu, Xue Geng, Zhuo Chen, Yingxin Zhao

Int. J. Commun. Syst., 2024

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection.

Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

CoRR, 2024

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li

CoRR, 2024

Evolving masked low-rank transformer for long text understanding.

Chenjing Liu, Xiangru Chen, Jie Lin, Peng Hu, Junfeng Wang, Xue Geng

Appl. Soft Comput., 2024

Contrastive Learning with Transformer Initialization and Clustering Prior for Text Representation.

Chenjing Liu, Xiangru Chen, Peng Hu, Jie Lin, Junfeng Wang, Xue Geng

Appl. Soft Comput., 2024

Adaptive Masked Autoencoder Transformer for image classification.

Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng

Appl. Soft Comput., 2024

Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming.

Lorenzo Orecchia, Jiawei Hu, Xue He, Wang Mark, Xulei Yang, Min Wu, Xue Geng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LPViT: Low-Power Semi-structured Pruning for Vision Transformers.

Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Timing synchronization based on Radon-Wigner transform of chirp signals for OTFS systems.

Xue Geng, Zhuo Chen, Haixiao Yang, Zhiyang Liu, Hong Wu

Phys. Commun., October, 2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.

Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin

CoRR, 2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.

Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin

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

2022

Systematic Transformation Method from UML to Event-B.

Xue Geng, Sheng-rong Zou, Ju-yi Yao

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization.

Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the Computer Vision - ECCV 2022, 2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow.

Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Characterizing and Developing Formation and Migration Cues in Seafloor Sand Waves on Topology, Morphology, Evolution from High-Resolution Mapping via Side-Scan Sonar in Autonomous Underwater Vehicles.

Rui Nian, Lina Zang, Xue Geng, Fei Yu, Shidong Ren, Bo He, Xishuang Li

Sensors, 2021

Radiology Reporting in the Era of Patient-Centered Care: How Can We Improve Readability?

Siya Patil, Joseph H. Yacoub, Xue Geng, Susan M. Ascher, Ross W. Filice

J. Digit. Imaging, 2021

2020

Role-Wise Data Augmentation for Knowledge Distillation.

Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

CoRR, 2020

Cascaded Mixed-Precision Networks.

Xue Geng, Jie Lin, Shaohua Li

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks.

Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar

CoRR, 2019

Dataflow-Based Joint Quantization for Deep Neural Networks.

Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar

Proceedings of the Data Compression Conference, 2019

2018

Hardware-Aware Softmax Approximation for Deep Neural Networks.

Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the Computer Vision - ACCV 2018, 2018

2016

Action-angle variables for the Lie-Poisson Hamiltonian systems associated with Boussinesq equation.

Dianlou Du, Xue Geng

Commun. Nonlinear Sci. Numer. Simul., 2016

2015

Learning Image and User Features for Recommendation in Social Networks.

Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Symplectic realizations and action-angle coordinates for the Lie-Poisson system of Dirac hierarchy.

Dianlou Du, Xue Geng

Appl. Math. Comput., 2014

One of a Kind: User Profiling by Social Curation.

Xue Geng, Hanwang Zhang, Zheng Song, Yang Yang, Huan-Bo Luan, Tat-Seng Chua

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014