Kuang-Chih Lee

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 20

Top Topics

Online Advertising

Top Venues

Publications

Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
AdKDD 2024. KDD (2024)
Hangjian Li, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee, Wei Shen
Bid Optimization for Offsite Display Ad Campaigns on eCommerce. CoRR (2023)
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
AdKDD 2023. KDD (2023)
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
AdKDD 2022. KDD (2022)
Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
Impression Allocation and Policy Search in Display Advertising. CoRR (2022)
Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR (2021)
Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. KDD (2021)
Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Binary Code based Hash Embedding for Web-scale Applications. CoRR (2021)
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. SIGIR (2021)
Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Binary Code based Hash Embedding for Web-scale Applications. CIKM (2021)
Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM (2021)
Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
Impression Allocation and Policy Search in Display Advertising. ICDM (2021)
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. CoRR (2021)
Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B. Whinston, Suleyman Cetintas, Kuang-Chih Lee
Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach. MIS Q. 44 (4) (2020)
Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo
Large Scale Classification in Deep Neural Network with Label Mapping. ICDM Workshops (2018)
Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo
Large scale classification in deep neural network with Label Mapping. CoRR (2018)
Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu
Extracting Entities and Relations with Joint Minimum Risk Training. EMNLP (2018)
Zhihui Xie, Kuang-Chih Lee, Liang Wang
Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. ADKDD@KDD (2017)
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
Proceedings of the 2017 AdKDD & TargetAd Workshop. CoRR (2017)
Zhihui Xie, Kuang-Chih Lee, Liang Wang
Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. CoRR (2017)
Sahin Cem Geyik, Ali Dasdan, Kuang-Chih Lee
User Clustering in Online Advertising via Topic Models. CoRR (2015)
Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee, Inderjit S. Dhillon
Tumblr Blog Recommendation with Boosted Inductive Matrix Completion. CIKM (2015)
Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee
Recommending Tumblr Blogs to Follow with Inductive Matrix Completion. RecSys Posters (2014)
Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li
Visual Sentiment Prediction with Deep Convolutional Neural Networks. CoRR (2014)
Kuang-Chih Lee, Ali Jalali, Ali Dasdan
Real time bid optimization with smooth budget delivery in online advertising. AdKDD@KDD (2013)
Kuang-Chih Lee, Ali Jalali, Ali Dasdan
Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising CoRR (2013)
Huei-Ju Chen, Kuang-Chih Lee, Erik Murphy-Chutorian, Jochen Triesch
Toward a Unified Probabilistic Framework for Object Recognition and Segmentation. ISVC (2005)
Kuang-Chih Lee, David J. Kriegman
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking. CVPR (1) (2005)
Kuang-Chih Lee, Baback Moghaddam
A Practical Face Relighting Method for Directional Lighting Normalization. AMFG (2005)
Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman
Visual tracking and recognition using probabilistic appearance manifolds. Comput. Vis. Image Underst. 99 (3) (2005)
Kuang-Chih Lee, Jeffrey Ho, David J. Kriegman
Acquiring Linear Subspaces for Face Recognition under Variable Lighting. IEEE Trans. Pattern Anal. Mach. Intell. 27 (5) (2005)
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Chih Lee, David J. Kriegman
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry. ECCV (1) (2004)
Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, David J. Kriegman
Visual Tracking Using Learned Linear Subspaces. CVPR (1) (2004)
Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman
Video-Based Face Recognition Using Probabilistic Appearance Manifolds. CVPR (1) (2003)
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, David J. Kriegman
Clustering Appearances of Objects Under Varying Illumination Conditions. CVPR (1) (2003)
Jeffrey Ho, Kuang-Chih Lee, David J. Kriegman
Compressing Large Polygonal Models. IEEE Visualization (2001)
Kuang-Chih Lee, Jeffrey Ho, David J. Kriegman
Nine Points of Light: Acquiring Subspaces for Face Recognition under Variable Lighting. CVPR (1) (2001)