Nine Points of Light: Acquiring Subspaces for Face Recognition under Variable Lighting. - Kuang-Chih Lee; Jeffrey Ho; David J. Kriegman (CVPR (1), 2001)

Compressing Large Polygonal Models. - Jeffrey Ho; Kuang-Chih Lee; David J. Kriegman (IEEE Visualization, 2001)

Clustering Appearances of Objects Under Varying Illumination Conditions. - Jeffrey Ho; Ming-Hsuan Yang 001; Jongwoo Lim; Kuang-Chih Lee; David J. Kriegman (CVPR (1), 2003)

Video-Based Face Recognition Using Probabilistic Appearance Manifolds. - Kuang-Chih Lee; Jeffrey Ho; Ming-Hsuan Yang 001; David J. Kriegman (CVPR (1), 2003)

Visual Tracking Using Learned Linear Subspaces. - Jeffrey Ho; Kuang-Chih Lee; Ming-Hsuan Yang 001; David J. Kriegman (CVPR (1), 2004)

Image Clustering with Metric, Local Linear Structure, and Affine Symmetry. - Jongwoo Lim; Jeffrey Ho; Ming-Hsuan Yang 001; Kuang-Chih Lee; David J. Kriegman (ECCV (1), 2004)

A Practical Face Relighting Method for Directional Lighting Normalization. - Kuang-Chih Lee; Baback Moghaddam (AMFG, 2005)

Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking. - Kuang-Chih Lee; David J. Kriegman (CVPR (1), 2005)

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation. - Huei-Ju Chen; Kuang-Chih Lee; Erik Murphy-Chutorian; Jochen Triesch (ISVC, 2005)

Visual tracking and recognition using probabilistic appearance manifolds. - Kuang-Chih Lee; Jeffrey Ho; Ming-Hsuan Yang 001; David J. Kriegman (Comput. Vis. Image Underst., 2005)

Acquiring Linear Subspaces for Face Recognition under Variable Lighting. - Kuang-Chih Lee; Jeffrey Ho; David J. Kriegman (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Representing the Appearances of Human Faces for Recognition - Kuang-Chih Lee (2005)

Large Margin Component Analysis. - Lorenzo Torresani; Kuang-chih Lee (NIPS, 2006)

Contextual Identity Recognition in Personal Photo Albums. - Dragomir Anguelov; Kuang-chih Lee; Salih Burak Göktürk; Baris Sumengen (CVPR, 2007)

A bottom-up framework for robust facial feature detection. - Victor Erukhimov; Kuang-chih Lee (FG, 2008)

Markov random field models for hair and face segmentation. - Kuang-chih Lee; Dragomir Anguelov; Baris Sumengen; Salih Burak Göktürk (FG, 2008)

Estimating conversion rate in display advertising from past erformance data. - Kuang-chih Lee; Burkay Orten; Ali Dasdan; Wentong Li (KDD, 2012)

Real time bid optimization with smooth budget delivery in online advertising. - Kuang-Chih Lee; Ali Jalali; Ali Dasdan (AdKDD@KDD, 2013)

Recommending Tumblr Blogs to Follow with Inductive Matrix Completion. - Donghyuk Shin; Suleyman Cetintas; Kuang-Chih Lee (RecSys Posters, 2014)

Visual Sentiment Prediction with Deep Convolutional Neural Networks. - Can Xu; Suleyman Cetintas; Kuang-Chih Lee; Li-Jia Li 001 (CoRR, 2014)

Tumblr Blog Recommendation with Boosted Inductive Matrix Completion. - Donghyuk Shin; Suleyman Cetintas; Kuang-Chih Lee; Inderjit S. Dhillon (CIKM, 2015)

Smart Pacing for Effective Online Ad Campaign Optimization. - Jian Xu 015; Kuang-chih Lee; Wentong Li; Hang Qi; Quan Lu (KDD, 2015)

User Clustering in Online Advertising via Topic Models. - Sahin Cem Geyik; Ali Dasdan; Kuang-Chih Lee (CoRR, 2015)

Lift-Based Bidding in Ad Selection. - Jian Xu 015; Xuhui Shao; Jianjie Ma; Kuang-chih Lee; Hang Qi; Quan Lu (AAAI, 2016)

Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes. - Liang Wang; Kuang-chih Lee; Quan Lu (CIKM, 2016)

Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising. - Miguel Angel Alcobendas Lisbona; Sheide Chammas; Kuang-chih Lee (KDD, 2016)

Distributed Flexible Nonlinear Tensor Factorization. - Shandian Zhe; Kai Zhang 001; Pengyuan Wang 001; Kuang-chih Lee; Zenglin Xu; Yuan Qi 001; Zoubin Ghahramani (NIPS, 2016)

Distributed Flexible Nonlinear Tensor Factorization. - Shandian Zhe; Pengyuan Wang 001; Kuang-chih Lee; Zenglin Xu; Jian Yang 002; Youngja Park; Yuan Qi 001 (CoRR, 2016)

Profit Maximization for Online Advertising Demand-Side Platforms. - Paul Grigas; Alfonso Lobos; Zheng Wen; Kuang-chih Lee (ADKDD@KDD, 2017)

Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. - Zhihui Xie; Kuang-Chih Lee; Liang Wang (ADKDD@KDD, 2017)

Proceedings of the 2017 AdKDD & TargetAd Workshop. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-Chih Lee; Kun Liu; Vladan Radosavljevic; Suju Rajan (CoRR, 2017)

Extracting Entities and Relations with Joint Minimum Risk Training. - Changzhi Sun; Yuanbin Wu; Man Lan; Shiliang Sun; Wenting Wang; Kuang-Chih Lee; Kewen Wu 003 (EMNLP, 2018)

Probabilistic Streaming Tensor Decomposition. - Yishuai Du; Yimin Zheng; Kuang-chih Lee; Shandian Zhe (ICDM, 2018)

Large Scale Classification in Deep Neural Network with Label Mapping. - Qizhi Zhang; Kuang-Chih Lee; Hongying Bao; Yuan You; Wenjie Li; Dongbai Guo (ICDM Workshops, 2018)

Category coding with neural network application. - Qizhi Zhang; Kuang-chih Lee; Hongying Bao; Yuan You; Dongbai Guo (CoRR, 2018)

Optimal Delivery with Budget Constraint in E-Commerce Advertising. - Chao Wei; Weiru Zhang; Shengjie Sun; Fei Li; Xiaonan Meng; Yi Hu; Kuang-chih Lee; Hao Wang 005 (ORSUM@RecSys, 2019)

Online Bayesian Sparse Learning with Spike and Slab Priors. - Shikai Fang; Shandian Zhe; Kuang-chih Lee; Kai Zhang 001; Jennifer Neville (ICDM, 2020)

Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach. - Donghyuk Shin; Shu He; Gene Moo Lee; Andrew B. Whinston; Suleyman Cetintas; Kuang-Chih Lee (MIS Q., 2020)

AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. - Penghui Wei; Weimin Zhang; Zixuan Xu; Shaoguo Liu; Kuang-chih Lee; Bo Zheng 007 (CIKM, 2021)

Binary Code based Hash Embedding for Web-scale Applications. - Bencheng Yan; Pengjie Wang 002; Jinquan Liu; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Impression Allocation and Policy Search in Display Advertising. - Di Wu 035; Cheng Chen; Xiujun Chen; Junwei Pan; Xun Yang 004; Qing Tan; Jian Xu 015; Kuang-Chih Lee (ICDM, 2021)

AdKDD 2021. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-chih Lee; Kun Liu; Vladan Radosavljevic; Suju Rajan (KDD, 2021)

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Chao Du; Zhifeng Gao; Shuo Yuan; Lining Gao; Ziyan Li; Yifan Zeng; Xiaoqiang Zhu; Jian Xu 015; Kun Gai; Kuang-Chih Lee (KDD, 2021)

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. - Xiaoqiang Zhu; Kuang-chih Lee; Guorui Zhou; Biye Jiang; Zhe Wang; Ruiming Tang; Kan Ren; Qingyao Ai; Weinan Zhang 001 (KDD, 2021)

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. - Xu Ma; Pengjie Wang 002; Hui Zhao; Shaoguo Liu; Chuhan Zhao; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (SIGIR, 2021)

AdKDD 2022. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-Chih Lee; Kun Liu; Wei Liu 007; Linsey Pang; Vladan Radosavljevic; Suju Rajan; Kexin Xie (KDD, 2022)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

AdKDD 2023. - Abraham Bagherjeiran; Nemanja Djuric; Kuang-Chih Lee; Linsey Pang; Vladan Radosavljevic; Suju Rajan (KDD, 2023)

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. - Ruiming Tang; Xiaoqiang Zhu; Junfeng Ge; Kuang-chih Lee; Biye Jiang; Xingxing Wang; Han Zhu 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)

Bid Optimization for Offsite Display Ad Campaigns on eCommerce. - Hangjian Li; Dong Xu; Konstantin Shmakov; Kuang-Chih Lee; Wei Shen (CoRR, 2023)

Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce. - Jianghong Zhou; Bo Liu; Jhalak Nilesh Acharya Yao Hong; Kuang-chih Lee; Musen Wen (CoRR, 2023)

Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation. - Jianghong Zhou; Weizhi Du; Md Omar Faruk Rokon; Zhaodong Wang; Jiaxuan Xu; Isha Shah; Kuang-chih Lee; Musen Wen (CoRR, 2023)

A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment. - Zhengchao Yang; Mithun Ghosh; Anish Saha; Dong Xu; Konstantin Shmakov; Kuang-Chih Lee (IEEE Big Data, 2024)

Enhancement of E-commerce Sponsored Search Relevancy with LLM. - Md Omar Faruk Rokon; Andrei Simion; Weizhi Du; Musen Wen; Hong Yao; Kuang-Chih Lee (eCom@SIGIR, 2024)

Adaptive Conformal Inference by Betting. - Aleksandr Podkopaev; Dong Xu; Kuang-chih Lee (ICML, 2024)

AdKDD 2024. - Abraham Bagherjeiran; Nemanja Djuric; Kuang-Chih Lee; Linsey Pang; Vladan Radosavljevic; Suju Rajan (KDD, 2024)

Adaptive Conformal Inference by Betting. - Aleksandr Podkopaev; Darren Xu; Kuang-Chih Lee (CoRR, 2024)

Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains. - Zhaodong Wang; Weizhi Du; Md Omar Faruk Rokon; Pooshpendu Adhikary; Yanbing Xue; Jiaxuan Xu; Jianghong Zhou; Kuang-chih Lee; Musen Wen (CoRR, 2025)