A Harris-Like Scale Invariant Feature Detector. - Yinan Yu; Kaiqi Huang; Tieniu Tan (ACCV (2), 2009)

An empirical study of visual features for part based model. - Junge Zhang; Yinan Yu; Shuai Zheng 001; Kaiqi Huang (ACPR, 2011)

Salient coding for image classification. - Yongzhen Huang; Kaiqi Huang; Yinan Yu; Tieniu Tan (CVPR, 2011)

Boosted local structured HOG-LBP for object localization. - Junge Zhang; Kaiqi Huang; Yinan Yu; Tieniu Tan (CVPR, 2011)

A GML Documents Stream Compressor. - Yinan Yu; Yuzhen Li; Shuigeng Zhou (DASFAA Workshops, 2011)

CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus. - Yinan Yu; Weiqiang Ren; Yongzhen Huang; Kaiqi Huang; Tieniu Tan (AVSS, 2012)

Feature coding via vector difference for image classification. - Xin Zhao 012; Yinan Yu; Yongzhen Huang; Kaiqi Huang; Tieniu Tan (ICIP, 2012)

A subspace learning algorithm for microwave scattering signal classification with application to wood quality assessment. - Yinan Yu; Tomas McKelvey (MLSP, 2012)

A Novel Algorithm for View and Illumination Invariant Image Matching. - Yinan Yu; Kaiqi Huang; Wei Chen 012; Tieniu Tan (IEEE Trans. Image Process., 2012)

Microwave technology for localization of traumatic intracranial bleedings - A numerical simulation study. - Stefan Candefjord; Johan Winges; Yinan Yu; Thomas Rylander; Tomas McKelvey (EMBC, 2013)

A unified subspace classification framework developed for diagnostic system using microwave signal. - Yinan Yu; Tomas McKelvey (EUSIPCO, 2013)

A classification scheme for 'high-dimensional-small-sample-size' data using soda and ridge-SVM with microwave measurement applications. - Yinan Yu; Tomas McKelvey; Sun-Yuan Kung (ICASSP, 2013)

Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis. - Yinan Yu; Tomas McKelvey; Sun-Yuan Kung (ICMLA (1), 2013)

Exploring the Power of Kernel in Feature Representation for Object Categorization. - Weiqiang Ren; Yinan Yu; Junge Zhang; Kaiqi Huang (ICONIP (3), 2013)

Parameter design tradeoff between prediction performance and training time for Ridge-SVM. - Rasmus Rothe; Yinan Yu; Sun-Yuan Kung (MLSP, 2013)

Ridge-adjusted Slack Variable Optimization for supervised classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (MLSP, 2013)

Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (EUSIPCO, 2014)

Feature reduction based on Sum-Of-SNR (SOSNR) optimization. - Yinan Yu; Tomas McKelvey; Sun-Yuan Kung (ICASSP, 2014)

Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification. - Weiqiang Ren; Yinan Yu; Junge Zhang; Kaiqi Huang (ICPR, 2014)

Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation. - Zifeng Wu; Yongzhen Huang; Yinan Yu; Liang Wang 001; Tieniu Tan (ICPR, 2014)

Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible. - Mikael Persson; Andreas Fhager; Hana Dobsicek Trefna; Yinan Yu; Tomas McKelvey; Goran Pegenius; Jan-Erik Karlsson; Mikael Elam (IEEE Trans. Biomed. Eng., 2014)

Deep multiple instance learning for image classification and auto-annotation. - Jiajun Wu 001; Yinan Yu; Chang Huang; Kai Yu (CVPR, 2015)

Object detection by labeling superpixels. - Junjie Yan; Yinan Yu; Xiangyu Zhu 001; Zhen Lei 001; Stan Z. Li (CVPR, 2015)

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. - Chunshui Cao; Xianming Liu; Yi Yang 007; Yinan Yu; Jiang Wang 001; Zilei Wang; Yongzhen Huang; Liang Wang 001; Chang Huang; Wei Xu 017; Deva Ramanan; Thomas S. Huang (ICCV, 2015)

A Deep Visual Correspondence Embedding Model for Stereo Matching Costs. - Zhuoyuan Chen; Xun Sun; Liang Wang 001; Yinan Yu; Chang Huang (ICCV, 2015)

Interplay between Social Media and Traditional Media: An Empirical Study in the Motion Picture Industry. - Yinan Yu; Hailiang Chen (ICIS, 2015)

Measuring Social Media Success: The Case of Facebook Marketing in the Motion Picture Industry. - Yinan Yu; Hailiang Chen (PACIS, 2015)

DenseBox: Unifying Landmark Localization with End to End Object Detection. - Lichao Huang; Yi Yang; Yafeng Deng; Yinan Yu (CoRR, 2015)

A robust subspace classification scheme based on empirical intersection removal and sparse approximation. - Yinan Yu; Tomas McKelvey (Integr. Comput. Aided Eng., 2015)

Adaptive margin slack minimization in RKHS for classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (ICASSP, 2016)

Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (MLSP, 2016)

Parse geometry from a line: Monocular depth estimation with partial laser observation. - Yiyi Liao; Lichao Huang; Yue Wang 020; Sarath Kodagoda; Yinan Yu; Yong Liu 007 (ICRA, 2017)

Towards semi-automatic rock mass discontinuity orientation and set analysis from 3D point clouds. - Jiateng Guo; Shanjun Liu; Peina Zhang; Lixin Wu; Wenhui Zhou; Yinan Yu (Comput. Geosci., 2017)

Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations. - Stefan Candefjord; Johan Winges; Ahzaz Ahmad Malik; Yinan Yu; Thomas Rylander; Tomas McKelvey; Andreas Fhager; Mikael Elam; Mikael Persson (Medical Biol. Eng. Comput., 2017)

Nonlinearity Testing of Capacitance Bridges Using Programmable Capacitors. - Yinan Yu; Andrew D. Koffman; Yicheng Wang (IEEE Trans. Instrum. Meas., 2017)

The Impact of Performance-Contingent Monetary Incentives on User-Generated Content Contribution. - Yinan Yu; Warut Khern-am-nuai; Alain Pinsonneault (AMCIS, 2018)

Utilizing Geospatial Information in Cellular Data Usage for Key Location Prediction. - Yinan Yu; Baojun Ma; Hailiang Chen; Benjamin P.-C. Yen (HICSS, 2018)

Does Premium Subscription Pay Off? Evidence from Online Dating Platform. - Yinan Yu; Jui Ramaprasad; Animesh Animesh; Alain Pinsonneault (ICIS, 2018)

Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making. - Jingchu Liu; Pengfei Hou; Lisen Mu; Yinan Yu; Chang Huang (CoRR, 2018)

CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (IEEE Trans. Neural Networks Learn. Syst., 2018)

High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection. - Wei Liu 097; Shengcai Liao; Weiqiang Ren; Weidong Hu; Yinan Yu (CVPR, 2019)

SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. - Naiyu Gao; Yanhu Shan; Yupei Wang; Xin Zhao 012; Yinan Yu; Ming Yang 007; Kaiqi Huang (ICCV, 2019)

Engagement on Digital Platforms: A Theoretical Perspective. - Yinan Yu; Jui Ramaprasad (ICIS, 2019)

Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification. - Yinan Yu; Tomas McKelvey (CoRR, 2019)

Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. - Samuel Scheidegger; Yinan Yu; Tomas McKelvey (CoRR, 2019)

RAVAN: CubeSat Demonstration for Multi-Point Earth Radiation Budget Measurements. - William H. Swartz; Steven R. Lorentz; Stergios J. Papadakis; Philip M. Huang; Allan W. Smith; David M. Deglau; Yinan Yu; Sonia M. Reilly; Nolan M. Reilly; Donald E. Anderson (Remote. Sens., 2019)

Capacity Region and Scheduling for Non-Orthogonal Duplex. - Xiaofeng Tan; Shengqian Han; Yinan Yu; Juan Liu 013; Xiaolin Hou; Wenjia Liu (IEEE Trans. Commun., 2020)

Any Feedback is Welcome: Peer Feedback and User Behavior in Online Communities. - Kai Zhu; Warut Khern-am-nuai; Yinan Yu (AMCIS, 2021)

Are Review Helpfulness Score and Review Unhelpfulness Score Two Sides of The Same Coin or Different Coins? - Warut Khern-am-nuai; Yinan Yu (HICSS, 2021)

How Review Readers Cast Helpfulness Votes: An Empirical Investigation. - Yinan Yu; Dezhi Yin; Warut Khern-am-nuai (ICIS, 2021)

A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure. - Yinan Yu; Samuel Scheidegger; John-Fredrik Grönvall; Magnus Palm; Erik Svanberg; Johan Amoruso Wennerby; Jörg Bakker (CoRR, 2022)

The causal effect of subscription video streaming on DVD sales: Evidence from a natural experiment. - Yinan Yu; Hailiang Chen; Chih-Hung Peng; Patrick Y. K. Chau (Decis. Support Syst., 2022)

When Paying for Reviews Pays Off: The Case of Performance-Contingent Monetary Rewards. - Yinan Yu; Warut Khern-am-nuai; Alain Pinsonneault (MIS Q., 2022)

AirDnD - Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework. - Malsha Ashani Mahawatta Dona; Christian Berger 001; Yinan Yu (ICDCS, 2023)

Impacts of Social Interactions and Peer Evaluations on Online Review Platforms. - Yinan Yu; Warut Khern-am-nuai; Alain Pinsonneault; Zaiyan Wei (J. Manag. Inf. Syst., 2023)

Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review. - Pierre Lamart; Yinan Yu; Christian Berger 001 (SEAA, 2024)

Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero-Daniel; Yinan Yu; Christian Berger 001 (ITSC, 2024)

LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero-Daniel; Yinan Yu; Christian Berger 001 (ICTSS, 2024)

GoNoGo: An Efficient LLM-Based Multi-agent System for Streamlining Automotive Software Release Decision-Making. - Arsham Gholamzadeh Khoee; Yinan Yu; Robert Feldt; Andris Freimanis; Patrick Andersson Rhodin; Dhasarathy Parthasarathy (ICTSS, 2024)

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data. - Josie Harrison; Alexander Hollberg; Yinan Yu (CoRR, 2024)

GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making. - Arsham Gholamzadeh Khoee; Yinan Yu; Robert Feldt; Andris Freimanis; Patrick Andersson; Dhasarathy Parthasarathy (CoRR, 2024)

Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero-Daniel; Yinan Yu; Christian Berger 001 (CoRR, 2024)

climateBUG : A data-driven framework for analyzing bank reporting through a climate lens. - Yinan Yu; Samuel Scheidegger; Jasmine Elliott; Åsa Löfgren (Expert Syst. Appl., 2024)

Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF). - Yinan Yu; Samuel Scheidegger; Tomas McKelvey (Neurocomputing, 2024)

Review Helpfulness Scores vs. Review Unhelpfulness Scores: Two Sides of the Same Coin or Different Coins? - Yinan Yu; Dominik Gutt; Warut Khern-am-nuai (IEEE Trans. Engineering Management, 2024)

Domain generalization through meta-learning: a survey. - Arsham Gholamzadeh Khoee; Yinan Yu; Robert Feldt (Artif. Intell. Rev., 2024)

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering. - Shuai Wang; Yinan Yu (ACL (1), 2025)

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study. - Shuai Wang; Yinan Yu; Robert Feldt; Dhasarathy Parthasarathy (ICSE, 2025)

Polymer: Development Workflows as Software. - Dhasarathy Parthasarathy; Yinan Yu; Earl T. Barr (SIGSOFT FSE Companion, 2025)

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics. - Arsham Gholamzadeh Khoee; Shuai Wang; Yinan Yu; Robert Feldt; Dhasarathy Parthasarathy (CoRR, 2025)

BetterCheck: Towards Safeguarding VLMs for Automotive Perception Systems. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero-Daniel; Yinan Yu; Christian Berger 001 (CoRR, 2025)

Deep Learning-based Scalable Image-to-3D Facade Parser for Generating Thermal 3D Building Models. - Yinan Yu; Alex Gonzalez-Caceres; Samuel Scheidegger; Sanjay Somanath; Alexander Hollberg (CoRR, 2025)

Latent Domain Prompt Learning for Vision-Language Models. - Zhixing Li; Arsham Gholamzadeh Khoee; Yinan Yu (CoRR, 2025)