Priming the recognizer. - George Nagy; Yihong Xu (DAS, 1996)

A Prototype for Adaptive Association of Street Names with Streets on Maps. - George Nagy; Ashok Samal; Sharad C. Seth; T. Fisher; E. Guthmann; K. Kalafala; Luyang Li; Prateek Sarkar; S. Sivasubramaniam; Yihong Xu (GREC, 1997)

Automatic Prototype Extracion for Adaptive OCR. - George Nagy; Yihong Xu (ICDAR, 1997)

Bayesian subsequence matching and segmentation. - George Nagy; Yihong Xu (Pattern Recognit. Lett., 1997)

Cooperative Text and Line-Art Extraction from a Topographic Map. - Luyang Li; George Nagy; Ashok Samal; Sharad C. Seth; Yihong Xu (ICDAR, 1999)

Prototype Extraction and Adaptive OCR. - Yihong Xu; George Nagy (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Integrated text and line-art extraction from a topographic map. - Luyang Li; George Nagy; Ashok Samal; Sharad C. Seth; Yihong Xu (Int. J. Document Anal. Recognit., 2000)

ELEMENT OF -Strictly Efficient Solutions of Vector Optimization Problems with Set-Valued Maps. - Taiyong Li; Yihong Xu; Chuanxi Zhu (Asia Pac. J. Oper. Res., 2007)

The relationship between ic-cone-convexness and nearly cone-subconvexlikeness. - Yihong Xu; Xiaoshuai Song (Appl. Math. Lett., 2011)

Comprehensive evaluation of marketing channel risk of beverage enterprise on the basis of GRA-Fuzzy-AHP. - Yihong Xu; Mengju Shi; Hao Chang; Qiushuang Wei; Suhua Wang (Int. J. Inf. Technol. Manag., 2015)

Practical Tracking Control of Robot Manipulators With Continuous Fractional-Order Nonsingular Terminal Sliding Mode. - Yaoyao Wang; Linyi Gu; Yihong Xu; Xiaoxu Cao (IEEE Trans. Ind. Electron., 2016)

New Second-Order Tangent Epiderivatives and Applications to Set-Valued Optimization. - Zhenhua Peng; Yihong Xu (J. Optim. Theory Appl., 2017)

Stability analysis of virtual passive actuator with time delay and parameter uncertainties. - Xiaoxu Cao; Linyi Gu; Yaoyao Wang; Yihong Xu; Qingxun Di; Cunxin Cheng; Liangchun Wang (J. Syst. Control. Eng., 2017)

Second-Order M-Composed Tangent Derivative and Its Applications. - Yihong Xu; Zhenhua Peng (Asia Pac. J. Oper. Res., 2018)

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers. - Yihong Xu; Yutong Ban; Xavier Alameda-Pineda; Radu Horaud (CoRR, 2019)

How to Train Your Deep Multi-Object Tracker. - Yihong Xu; Aljosa Osep; Yutong Ban; Radu Horaud; Laura Leal-Taixé; Xavier Alameda-Pineda (CVPR, 2020)

CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification. - Guillaume Delorme 002; Yihong Xu; Stéphane Lathuilière; Radu Horaud; Xavier Alameda-Pineda (ICPR, 2020)

TransCenter: Transformers with Dense Queries for Multiple-Object Tracking. - Yihong Xu; Yutong Ban; Guillaume Delorme 002; Chuang Gan 001; Daniela Rus; Xavier Alameda-Pineda (CoRR, 2021)

Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination. - Hanyu Xuan; Yihong Xu; Shuo Chen 002; Zhiliang Wu; Jian Yang 003; Yan Yan 002; Xavier Alameda-Pineda (IJCAI, 2022)

CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. - Zhuoran Song; Yihong Xu; Zhezhi He; Li Jiang 002; Naifeng Jing; Xiaoyao Liang (CoRR, 2022)

DNN Training Acceleration via Exploring GPGPU Friendly Sparsity. - Zhuoran Song; Yihong Xu; Han Li; Naifeng Jing; Xiaoyao Liang; Li Jiang 002 (CoRR, 2022)

Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining. - Hanyu Xuan; Yihong Xu; Shuo Chen 002; Zhiliang Wu; Jian Yang 003; Yan Yan 002; Xavier Alameda-Pineda (CoRR, 2022)

Rethinking Training Strategies and Improving Model Structures for Multiple-Object Tracking. (Amélioration de stratégies d'entrainements et développement de modèles pour le suivi d'objets multiple). - Yihong Xu (2022)

WheelUp! Developing an Interactive Electric-power Wheelchair Virtual Training Environment. - Max Chen; Yihong Xu; Alexander Sirois; Yichen Li; Robert Dempski; Gillian Smith 001; Yuko Oda; Yunus Telliel; Erika S. Lewis; Kelilah L. Wolkowicz (CoG, 2023)

E-commerce Platform Quality, User satisfaction and Continuous Use Intention under Data-driven marketing. - Yihong Xu; Fengyan Huang (ICIBE, 2023)

A Novel Dual-Polarized Filtering Magneto-Electric Dipole Antenna Without Extra Filtering Circuits. - Yihong Xu; Zihao Chen (ICTA, 2023)

Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. - Yihong Xu; Loïck Chambon; Éloi Zablocki; Mickaël Chen; Matthieu Cord; Patrick Pérez (CoRR, 2023)

TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. - Yihong Xu; Yutong Ban; Guillaume Delorme 002; Chuang Gan 001; Daniela Rus; Xavier Alameda-Pineda (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Lost and Found: Overcoming Detector Failures in Online Multi-object Tracking. - Lorenzo Vaquero; Yihong Xu; Xavier Alameda-Pineda; Víctor M. Brea 001; Manuel Mucientes (ECCV (73), 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting. - Yihong Xu; Éloi Zablocki; Alexandre Boulch; Gilles Puy; Mickaël Chen; Florent Bartoccioni; Nermin Samet; Oriane Siméoni; Spyros Gidaris; Tuan-Hung Vu; Andrei Bursuc; Eduardo Valle; et al. (ECCV Workshops (7), 2024)

Optimizing Vegetable Pricing and Replenishment Decisions Using Hybrid Machine Learning Models. - Yiyou Han; Ziheng Huang; Yihong Xu (ICBAR, 2024)

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? - Yihong Xu; Loïck Chambon; Éloi Zablocki; Mickaël Chen; Alexandre Alahi; Matthieu Cord; Patrick Pérez (ICRA, 2024)

Optimization of LSTM Neural Networks Based on CNN for Power Load Forecasting Research. - Yiqun Gui; Zhiqian Li; Junyang Xiao; Yihong Xu; Kai Yang (ICRAI, 2024)

A Series-Fed Comb-Array Antenna with Microbumps for Sub-THz Applications. - Kangliang Zhao; Yihong Xu; Zihao Chen; Kangrong Li; Baoxia Li (ICTA, 2024)

Annealed Winner-Takes-All for Motion Forecasting. - Yihong Xu; Victor Letzelter; Mickaël Chen; Éloi Zablocki; Matthieu Cord (CoRR, 2024)

PPT: Pre-Training with Pseudo-Labeled Trajectories for Motion Forecasting. - Yihong Xu; Yuan Yin; Tuan-Hung Vu; Alexandre Boulch; Éloi Zablocki; Matthieu Cord (CoRR, 2024)

Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression. - Jinglei Shi; Yihong Xu; Christine Guillemot (IEEE Trans. Image Process., 2024)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries. - Zeqing Wang; Han Fang; Yihong Xu; Yutong Ban (CoRR, 2025)

Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings. - Yijie Qian; Hongying Pan; Jun Chen; Hongyang Hu; Mei Fang; Chen Huang; Yihong Xu; Yang Gao (BMC Medical Informatics Decis. Mak., 2025)