Kuang-Chih Lee

76 papers A* 18A 7B 3Misc 1Journal 24Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Display Ads Contextual Relevance Modeling with LLM Labels. ECIR (4) Chao Gan, Fan Yang, Fangping Huang, Weijie Yuan, Nahid Anwar, Musen Wen, Konstantin Shmakov, Hong Yao, Kuang-Chih Lee
2025	—	`conf`	Ad Ranking for Walmart Display Ads System. eCom@SIGIR Fan Yang, Weijie Yuan, Nahid Anwar, Braden Huffman, Fangping Huang, Lichun Chen, Konstantin Shmakov, Sunil Goda, James Jung, Niranjana Moleyar, Xiaobo Peng, Kuang-Chih Lee, Musen Wen
2025	—	`conf`	AdKDD 2025. KDD (2) Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2025	J	`jnl`	Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains. CoRR Zhaodong Wang, Weizhi Du, Md Omar Faruk Rokon, Pooshpendu Adhikary, Yanbing Xue, Jiaxuan Xu, Jianghong Zhou, Kuang-Chih Lee, Musen Wen
2024	B	`conf`	A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment. IEEE Big Data Zhengchao Yang, Mithun Ghosh, Anish Saha, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee
2024	J	`jnl`	A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment. CoRR Zhengchao Yang, Mithun Ghosh, Anish Saha, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee
2024	A*	`conf`	AdKDD 2024. KDD Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2024	A*	`conf`	Adaptive Conformal Inference by Betting. ICML Aleksandr Podkopaev, Dong Xu, Kuang-Chih Lee
2024	J	`jnl`	Adaptive Conformal Inference by Betting. CoRR Aleksandr Podkopaev, Darren Xu, Kuang-Chih Lee
2024	—	`conf`	Enhancement of E-commerce Sponsored Search Relevancy with LLM. eCom@SIGIR Md Omar Faruk Rokon, Andrei Simion, Weizhi Du, Musen Wen, Hong Yao, Kuang-Chih Lee
2024	—	`ed.`	Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25, 2024. AdKDD@KDD Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2023	A*	`conf`	AdKDD 2023. KDD Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2023	J	`jnl`	Bid Optimization for Offsite Display Ad Campaigns on eCommerce. CoRR Hangjian Li, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee, Wei Shen
2023	J	`jnl`	Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation. CoRR Jianghong Zhou, Weizhi Du, Md Omar Faruk Rokon, Zhaodong Wang, Jiaxuan Xu, Isha Shah, Kuang-Chih Lee, Musen Wen
2023	A	`conf`	International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-Chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao
2023	J	`jnl`	Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce. CoRR Jianghong Zhou, Bo Liu, Jhalak Nilesh Acharya Yao Hong, Kuang-Chih Lee, Musen Wen
2023	—	`ed.`	Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023. AdKDD@KDD Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2022	A*	`conf`	4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-Chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang
2022	A*	`conf`	AdKDD 2022. KDD Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
2022	J	`jnl`	Impression Allocation and Policy Search in Display Advertising. CoRR Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
2021	A*	`conf`	3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD Xiaoqiang Zhu, Kuang-Chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang
2021	A*	`conf`	AdKDD 2021. KDD Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
2021	A	`conf`	AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. CIKM Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-Chih Lee, Bo Zheng
2021	A	`conf`	Binary Code based Hash Embedding for Web-scale Applications. CIKM Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	J	`jnl`	Binary Code based Hash Embedding for Web-scale Applications. CoRR Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	A*	`conf`	Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. KDD Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee
2021	A*	`conf`	Impression Allocation and Policy Search in Display Advertising. ICDM Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
2021	A	`conf`	Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	J	`jnl`	Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	A*	`conf`	Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. SIGIR Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	J	`jnl`	Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. CoRR Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2020	J	`jnl`	Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach. MIS Q. Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B. Whinston, Suleyman Cetintas, Kuang-Chih Lee
2020	A*	`conf`	Online Bayesian Sparse Learning with Spike and Slab Priors. ICDM Shikai Fang, Shandian Zhe, Kuang-Chih Lee, Kai Zhang, Jennifer Neville
2019	—	`conf`	Optimal Delivery with Budget Constraint in E-Commerce Advertising. ORSUM@RecSys Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Kuang-Chih Lee, Hao Wang
2018	J	`jnl`	Category coding with neural network application. CoRR Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Dongbai Guo
2018	A*	`conf`	Extracting Entities and Relations with Joint Minimum Risk Training. EMNLP Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu
2018	—	`conf`	Large Scale Classification in Deep Neural Network with Label Mapping. ICDM Workshops Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo
2018	J	`jnl`	Large scale classification in deep neural network with Label Mapping. CoRR Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo
2018	A*	`conf`	Probabilistic Streaming Tensor Decomposition. ICDM Yishuai Du, Yimin Zheng, Kuang-Chih Lee, Shandian Zhe
2017	—	`conf`	Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. ADKDD@KDD Zhihui Xie, Kuang-Chih Lee, Liang Wang
2017	J	`jnl`	Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. CoRR Zhihui Xie, Kuang-Chih Lee, Liang Wang
2017	J	`jnl`	Proceedings of the 2017 AdKDD & TargetAd Workshop. CoRR Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
2017	—	`conf`	Profit Maximization for Online Advertising Demand-Side Platforms. ADKDD@KDD Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-Chih Lee
2017	J	`jnl`	Profit Maximization for Online Advertising Demand-Side Platforms. CoRR Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-Chih Lee
2016	—	`conf`	Distributed Flexible Nonlinear Tensor Factorization. NIPS Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani
2016	J	`jnl`	Distributed Flexible Nonlinear Tensor Factorization. CoRR Shandian Zhe, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Jian Yang, Youngja Park, Yuan Qi
2016	A	`conf`	Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes. CIKM Liang Wang, Kuang-Chih Lee, Quan Lu
2016	A*	`conf`	Lift-Based Bidding in Ad Selection. AAAI Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-Chih Lee, Hang Qi, Quan Lu
2016	A*	`conf`	Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising. KDD Miguel Angel Alcobendas Lisbona, Sheide Chammas, Kuang-Chih Lee
2015	J	`jnl`	Lift-Based Bidding in Ad Selection. CoRR Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-Chih Lee, Hang Qi, Quan Lu
2015	A*	`conf`	Smart Pacing for Effective Online Ad Campaign Optimization. KDD Jian Xu, Kuang-Chih Lee, Wentong Li, Hang Qi, Quan Lu
2015	J	`jnl`	Smart Pacing for Effective Online Ad Campaign Optimization. CoRR Jian Xu, Kuang-Chih Lee, Wentong Li, Hang Qi, Quan Lu
2015	A	`conf`	Tumblr Blog Recommendation with Boosted Inductive Matrix Completion. CIKM Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee, Inderjit S. Dhillon
2015	J	`jnl`	User Clustering in Online Advertising via Topic Models. CoRR Sahin Cem Geyik, Ali Dasdan, Kuang-Chih Lee
2014	—	`ed.`	Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, ADKDD 2014, August 24, 2014, New York City, New York, USA ADKDD@KDD Esin Saka, Dou Shen, Kuang-Chih Lee, Ying Li
2014	—	`conf`	Recommending Tumblr Blogs to Follow with Inductive Matrix Completion. RecSys Posters Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee
2014	J	`jnl`	Visual Sentiment Prediction with Deep Convolutional Neural Networks. CoRR Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li
2013	J	`jnl`	Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising CoRR Kuang-Chih Lee, Ali Jalali, Ali Dasdan
2013	—	`conf`	Real time bid optimization with smooth budget delivery in online advertising. AdKDD@KDD Kuang-Chih Lee, Ali Jalali, Ali Dasdan
2012	A*	`conf`	Estimating conversion rate in display advertising from past erformance data. KDD Kuang-Chih Lee, Burkay Orten, Ali Dasdan, Wentong Li
2008	B	`conf`	A bottom-up framework for robust facial feature detection. FG Victor Erukhimov, Kuang-Chih Lee
2008	B	`conf`	Markov random field models for hair and face segmentation. FG Kuang-Chih Lee, Dragomir Anguelov, Baris Sumengen, Salih Burak Göktürk
2007	A*	`conf`	Contextual Identity Recognition in Personal Photo Albums. CVPR Dragomir Anguelov, Kuang-Chih Lee, Salih Burak Göktürk, Baris Sumengen
2006	—	`conf`	Large Margin Component Analysis. NIPS Lorenzo Torresani, Kuang-Chih Lee
2005	—	`conf`	A Practical Face Relighting Method for Directional Lighting Normalization. AMFG Kuang-Chih Lee, Baback Moghaddam
2005	J	`jnl`	Acquiring Linear Subspaces for Face Recognition under Variable Lighting. IEEE Trans. Pattern Anal. Mach. Intell. Kuang-Chih Lee, Jeffrey Ho, David J. Kriegman
2005	—	`conf`	Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking. CVPR (1) Kuang-Chih Lee, David J. Kriegman
2005	—	`—`	Representing the Appearances of Human Faces for Recognition Kuang-Chih Lee
2005	Misc	`conf`	Toward a Unified Probabilistic Framework for Object Recognition and Segmentation. ISVC Huei-Ju Chen, Kuang-Chih Lee, Erik Murphy-Chutorian, Jochen Triesch
2005	J	`jnl`	Visual tracking and recognition using probabilistic appearance manifolds. Comput. Vis. Image Underst. Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman
2004	—	`conf`	Image Clustering with Metric, Local Linear Structure, and Affine Symmetry. ECCV (1) Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Chih Lee, David J. Kriegman
2004	—	`conf`	Visual Tracking Using Learned Linear Subspaces. CVPR (1) Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, David J. Kriegman
2003	—	`conf`	Clustering Appearances of Objects Under Varying Illumination Conditions. CVPR (1) Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, David J. Kriegman
2003	—	`conf`	Video-Based Face Recognition Using Probabilistic Appearance Manifolds. CVPR (1) Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman
2001	A	`conf`	Compressing Large Polygonal Models. IEEE Visualization Jeffrey Ho, Kuang-Chih Lee, David J. Kriegman
2001	—	`conf`	Nine Points of Light: Acquiring Subspaces for Face Recognition under Variable Lighting. CVPR (1) Kuang-Chih Lee, Jeffrey Ho, David J. Kriegman