One of a Kind: User Profiling by Social Curation. - Xue Geng; Hanwang Zhang; Zheng Song; Yang Yang 002; Huan-Bo Luan; Tat-Seng Chua (ACM Multimedia, 2014)

Symplectic realizations and action-angle coordinates for the Lie-Poisson system of Dirac hierarchy. - Dianlou Du; Xue Geng (Appl. Math. Comput., 2014)

Learning Image and User Features for Recommendation in Social Networks. - Xue Geng; Hanwang Zhang; Jingwen Bian; Tat-Seng Chua (ICCV, 2015)

Action-angle variables for the Lie-Poisson Hamiltonian systems associated with Boussinesq equation. - Dianlou Du; Xue Geng (Commun. Nonlinear Sci. Numer. Simul., 2016)

Hardware-Aware Softmax Approximation for Deep Neural Networks. - Xue Geng; Jie Lin 001; Bin Zhao; Anmin Kong; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ACCV (4), 2018)

Dataflow-Based Joint Quantization for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (DCC, 2019)

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (CoRR, 2019)

Cascaded Mixed-Precision Networks. - Xue Geng; Jie Lin 001; Shaohua Li (ICIP, 2020)

Role-Wise Data Augmentation for Knowledge Distillation. - Jie Fu 001; Xue Geng; Zhijian Duan 001; Bohan Zhuang; Xingdi Yuan; Adam Trischler; Jie Lin 001; Chris Pal; Hao Dong 003 (CoRR, 2020)

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)

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 002; Xishuang Li (Sensors, 2021)

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. - Xiuchao Sui; Shaohua Li 003; Xue Geng; Yan Wu 002; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh; Hongyuan Zhu (CVPR, 2022)

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. - Zhe Wang 019; Jie Lin 001; Xue Geng; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ECCV (12), 2022)

Systematic Transformation Method from UML to Event-B. - Xue Geng; Sheng-rong Zou; Ju-yi Yao (QRS Companion, 2022)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Min Wu 008; Xiaoli Li 001; Weisi Lin (ICCV, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Jie Lin 001; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 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., 2023)

LPViT: Low-Power Semi-structured Pruning for Vision Transformers. - Kaixin Xu; Zhe Wang 019; Chunyun Chen; Xue Geng; Jie Lin 001; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (ECCV (71), 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 008; Xue Geng (NeurIPS, 2024)

Adaptive Masked Autoencoder Transformer for image classification. - Xiangru Chen; Chenjing Liu; Peng Hu 002; Jie Lin 001; Yunhong Gong; Yingke Chen; Dezhong Peng; 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)

Evolving masked low-rank transformer for long text understanding. - Chenjing Liu; Xiangru Chen; Jie Lin 001; Peng Hu 002; Junfeng Wang; Xue Geng (Appl. Soft Comput., 2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. - Kaixin Xu; Qingtian Feng; Hao Chen; Zhe Wang 019; Xue Geng; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 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)

Evolving filter criteria for randomly initialized network pruning in image classification. - Xiangru Chen; Chenjing Liu; Peng Hu 002; Jie Lin 001; Yunhong Gong; Yingke Chen; Dezhong Peng; Xue Geng (Neurocomputing, 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., 2024)

MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models. - Yun Zhang 020; Xue Geng; Lizi Liao; Jintong Sun; Minghe Yu; Ge Yu 001 (ACL (Findings), 2025)

Exploiting Temporal State Space Sharing for Video Semantic Segmentation. - Syed Ariff Syed Hesham; Yun Liu 011; Guolei Sun; Henghui Ding; Jing Yang; Ender Konukoglu; Xue Geng; Xudong Jiang 001 (CVPR, 2025)

A probabilistic optimizer for binary neural networks. - Xue He; Xue Geng; Tiancheng Zhang 001; Minghe Yu; Min Wu; Ge Yu 001; Yuhai Zhao (Neurocomputing, 2025)

PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization and Pooling. - Tianyi Zhang 004; Chunyun Chen; Yun Liu 011; Xue Geng; Mohamed M. Sabry Aly; Jie Lin 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 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., 2025)