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Yinan Yu
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2020 – today
- 2024
- [j16]Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt:
Domain generalization through meta-learning: a survey. Artif. Intell. Rev. 57(10): 285 (2024) - [j15]Yinan Yu, Samuel Scheidegger, Jasmine Elliott, Åsa Löfgren:
climateBUG : A data-driven framework for analyzing bank reporting through a climate lens. Expert Syst. Appl. 239: 122162 (2024) - [j14]Yinan Yu, Samuel Scheidegger, Tomas McKelvey:
Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF). Neurocomputing 609: 128461 (2024) - [j13]Yinan Yu, Dominik Gutt, Warut Khern-am-nuai:
Review Helpfulness Scores vs. Review Unhelpfulness Scores: Two Sides of the Same Coin or Different Coins? IEEE Trans. Engineering Management 71: 8031-8044 (2024) - [i16]Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt:
Domain Generalization through Meta-Learning: A Survey. CoRR abs/2404.02785 (2024) - [i15]Josie Harrison, Alexander Hollberg, Yinan Yu:
Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data. CoRR abs/2404.08557 (2024) - [i14]Yinan Yu, Dominik Gutt, Warut Khern-am-nuai:
Review Helpfulness Scores vs. Review Unhelpfulness Scores: Two Sides of the Same Coin or Different Coins? CoRR abs/2407.05207 (2024) - [i13]Malsha Ashani Mahawatta Dona, Christian Berger, Yinan Yu:
AirDnD - Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework. CoRR abs/2407.10500 (2024) - [i12]Pierre Lamart, Yinan Yu, Christian Berger:
Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review. CoRR abs/2407.12438 (2024) - [i11]Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu, Christian Berger:
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks. CoRR abs/2408.01433 (2024) - [i10]Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt, Andris Freimanis, Patrick Andersson, Dhasarathy Parthasarathy:
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making. CoRR abs/2408.09785 (2024) - [i9]Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu, Christian Berger:
Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View. CoRR abs/2408.10794 (2024) - 2023
- [j12]Yinan Yu, Warut Khern-am-nuai, Alain Pinsonneault, Zaiyan Wei:
Impacts of Social Interactions and Peer Evaluations on Online Review Platforms. J. Manag. Inf. Syst. 40(4): 1271-1300 (2023) - [c38]Malsha Ashani Mahawatta Dona, Christian Berger, Yinan Yu:
AirDnD - Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework. ICDCS 2023: 953-954 - 2022
- [j11]Yinan Yu, Hailiang Chen, Chih-Hung Peng, Patrick Y. K. Chau:
The causal effect of subscription video streaming on DVD sales: Evidence from a natural experiment. Decis. Support Syst. 157: 113767 (2022) - [j10]Yinan Yu, Warut Khern-am-nuai, Alain Pinsonneault:
When Paying for Reviews Pays Off: The Case of Performance-Contingent Monetary Rewards. MIS Q. 46(1): 609-626 (2022) - [i8]Yinan Yu, Samuel Scheidegger, John-Fredrik Grönvall, Magnus Palm, Erik Svanberg, Johan Amoruso Wennerby, Jörg Bakker:
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure. CoRR abs/2205.01783 (2022) - 2021
- [c37]Kai Zhu, Warut Khern-am-nuai, Yinan Yu:
Any Feedback is Welcome: Peer Feedback and User Behavior in Online Communities. AMCIS 2021 - [c36]Warut Khern-am-nuai, Yinan Yu:
Are Review Helpfulness Score and Review Unhelpfulness Score Two Sides of The Same Coin or Different Coins? HICSS 2021: 1-10 - [c35]Yinan Yu, Dezhi Yin, Warut Khern-am-nuai:
How Review Readers Cast Helpfulness Votes: An Empirical Investigation. ICIS 2021 - 2020
- [j9]Xiaofeng Tan, Shengqian Han, Yinan Yu, Juan Liu, Xiaolin Hou, Wenjia Liu:
Capacity Region and Scheduling for Non-Orthogonal Duplex. IEEE Trans. Commun. 68(10): 6597-6613 (2020)
2010 – 2019
- 2019
- [j8]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:
RAVAN: CubeSat Demonstration for Multi-Point Earth Radiation Budget Measurements. Remote. Sens. 11(7): 796 (2019) - [c34]Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu:
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection. CVPR 2019: 5187-5196 - [c33]Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang:
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. ICCV 2019: 642-651 - [c32]Yinan Yu, Jui Ramaprasad:
Engagement on Digital Platforms: A Theoretical Perspective. ICIS 2019 - [i7]Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu:
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection. CoRR abs/1904.02948 (2019) - [i6]Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang:
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. CoRR abs/1909.01616 (2019) - [i5]Yinan Yu, Tomas McKelvey:
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification. CoRR abs/1910.09309 (2019) - [i4]Samuel Scheidegger, Yinan Yu, Tomas McKelvey:
Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. CoRR abs/1910.09359 (2019) - 2018
- [j7]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. IEEE Trans. Neural Networks Learn. Syst. 29(2): 440-456 (2018) - [c31]Yinan Yu, Warut Khern-am-nuai, Alain Pinsonneault:
The Impact of Performance-Contingent Monetary Incentives on User-Generated Content Contribution. AMCIS 2018 - [c30]Yinan Yu, Baojun Ma, Hailiang Chen, Benjamin P.-C. Yen:
Utilizing Geospatial Information in Cellular Data Usage for Key Location Prediction. HICSS 2018: 1-8 - [c29]Yinan Yu, Jui Ramaprasad, Animesh Animesh, Alain Pinsonneault:
Does Premium Subscription Pay Off? Evidence from Online Dating Platform. ICIS 2018 - [i3]Jingchu Liu, Pengfei Hou, Lisen Mu, Yinan Yu, Chang Huang:
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making. CoRR abs/1802.00332 (2018) - 2017
- [j6]Jiateng Guo, Shanjun Liu, Peina Zhang, Lixin Wu, Wenhui Zhou, Yinan Yu:
Towards semi-automatic rock mass discontinuity orientation and set analysis from 3D point clouds. Comput. Geosci. 103: 164-172 (2017) - [j5]Stefan Candefjord, Johan Winges, Ahzaz Ahmad Malik, Yinan Yu, Thomas Rylander, Tomas McKelvey, Andreas Fhager, Mikael Elam, Mikael Persson:
Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations. Medical Biol. Eng. Comput. 55(8): 1177-1188 (2017) - [j4]Yinan Yu, Andrew D. Koffman, Yicheng Wang:
Nonlinearity Testing of Capacitance Bridges Using Programmable Capacitors. IEEE Trans. Instrum. Meas. 66(6): 1227-1231 (2017) - [c28]Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu:
Parse geometry from a line: Monocular depth estimation with partial laser observation. ICRA 2017: 5059-5066 - 2016
- [c27]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Adaptive margin slack minimization in RKHS for classification. ICASSP 2016: 2319-2323 - [c26]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. MLSP 2016: 1-6 - [i2]Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu:
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation. CoRR abs/1611.02174 (2016) - 2015
- [j3]Yinan Yu, Tomas McKelvey:
A robust subspace classification scheme based on empirical intersection removal and sparse approximation. Integr. Comput. Aided Eng. 22(1): 59-69 (2015) - [c25]Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu:
Deep multiple instance learning for image classification and auto-annotation. CVPR 2015: 3460-3469 - [c24]Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Object detection by labeling superpixels. CVPR 2015: 5107-5116 - [c23]Zhuoyuan Chen, Xun Sun, Liang Wang, Yinan Yu, Chang Huang:
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs. ICCV 2015: 972-980 - [c22]Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. ICCV 2015: 2956-2964 - [c21]Yinan Yu, Hailiang Chen:
Interplay between Social Media and Traditional Media: An Empirical Study in the Motion Picture Industry. ICIS 2015 - [c20]Yinan Yu, Hailiang Chen:
Measuring Social Media Success: The Case of Facebook Marketing in the Motion Picture Industry. PACIS 2015: 69 - [i1]Lichao Huang, Yi Yang, Yafeng Deng, Yinan Yu:
DenseBox: Unifying Landmark Localization with End to End Object Detection. CoRR abs/1509.04874 (2015) - 2014
- [j2]Mikael Persson, Andreas Fhager, Hana Dobsicek Trefna, Yinan Yu, Tomas McKelvey, Goran Pegenius, Jan-Erik Karlsson, Mikael Elam:
Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible. IEEE Trans. Biomed. Eng. 61(11): 2806-2817 (2014) - [c19]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. EUSIPCO 2014: 1178-1182 - [c18]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
Feature reduction based on Sum-Of-SNR (SOSNR) optimization. ICASSP 2014: 6756-6760 - [c17]Zifeng Wu, Yongzhen Huang, Yinan Yu, Liang Wang, Tieniu Tan:
Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation. ICPR 2014: 1538-1543 - [c16]Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang:
Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification. ICPR 2014: 4358-4363 - 2013
- [c15]Stefan Candefjord, Johan Winges, Yinan Yu, Thomas Rylander, Tomas McKelvey:
Microwave technology for localization of traumatic intracranial bleedings - A numerical simulation study. EMBC 2013: 1948-1951 - [c14]Yinan Yu, Tomas McKelvey:
A unified subspace classification framework developed for diagnostic system using microwave signal. EUSIPCO 2013: 1-5 - [c13]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
A classification scheme for 'high-dimensional-small-sample-size' data using soda and ridge-SVM with microwave measurement applications. ICASSP 2013: 3542-3546 - [c12]Yinan Yu, Tomas McKelvey, Sun-Yuan Kung:
Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis. ICMLA (1) 2013: 72-78 - [c11]Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang:
Exploring the Power of Kernel in Feature Representation for Object Categorization. ICONIP (3) 2013: 541-548 - [c10]Rasmus Rothe, Yinan Yu, Sun-Yuan Kung:
Parameter design tradeoff between prediction performance and training time for Ridge-SVM. MLSP 2013: 1-6 - [c9]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Ridge-adjusted Slack Variable Optimization for supervised classification. MLSP 2013: 1-6 - 2012
- [j1]Yinan Yu, Kaiqi Huang, Wei Chen, Tieniu Tan:
A Novel Algorithm for View and Illumination Invariant Image Matching. IEEE Trans. Image Process. 21(1): 229-240 (2012) - [c8]Yinan Yu, Weiqiang Ren, Yongzhen Huang, Kaiqi Huang, Tieniu Tan:
CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus. AVSS 2012: 172-177 - [c7]Xin Zhao, Yinan Yu, Yongzhen Huang, Kaiqi Huang, Tieniu Tan:
Feature coding via vector difference for image classification. ICIP 2012: 3121-3124 - [c6]Yinan Yu, Tomas McKelvey:
A subspace learning algorithm for microwave scattering signal classification with application to wood quality assessment. MLSP 2012: 1-6 - 2011
- [c5]Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang:
An empirical study of visual features for part based model. ACPR 2011: 219-223 - [c4]Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan:
Boosted local structured HOG-LBP for object localization. CVPR 2011: 1393-1400 - [c3]Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan:
Salient coding for image classification. CVPR 2011: 1753-1760 - [c2]Yinan Yu, Yuzhen Li, Shuigeng Zhou:
A GML Documents Stream Compressor. DASFAA Workshops 2011: 65-76
2000 – 2009
- 2009
- [c1]Yinan Yu, Kaiqi Huang, Tieniu Tan:
A Harris-Like Scale Invariant Feature Detector. ACCV (2) 2009: 586-595
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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