Kuang-chih Lee

Orcid: 0009-0007-5198-9866

Affiliations:
  • University of California, San Diego, USA


According to our database1, Kuang-chih Lee authored at least 55 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
AdKDD 2024.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adaptive Conformal Inference by Betting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation.
CoRR, 2023

Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce.
CoRR, 2023

Bid Optimization for Offsite Display Ad Campaigns on eCommerce.
CoRR, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

AdKDD 2023.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdKDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AdKDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Impression Allocation and Policy Search in Display Advertising.
Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Binary Code based Hash Embedding for Web-scale Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach.
MIS Q., 2020

Online Bayesian Sparse Learning with Spike and Slab Priors.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Optimal Delivery with Budget Constraint in E-Commerce Advertising.
Proceedings of the 2nd Workshop on Online Recommender Systems and User Modeling, 2019

2018
Category coding with neural network application.
CoRR, 2018

Large Scale Classification in Deep Neural Network with Label Mapping.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Probabilistic Streaming Tensor Decomposition.
Proceedings of the IEEE International Conference on Data Mining, 2018

Extracting Entities and Relations with Joint Minimum Risk Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Proceedings of the 2017 AdKDD & TargetAd Workshop.
CoRR, 2017

Optimal Reserve Price for Online Ads Trading Based on Inventory Identification.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Profit Maximization for Online Advertising Demand-Side Platforms.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

2016
Distributed Flexible Nonlinear Tensor Factorization.
CoRR, 2016

Distributed Flexible Nonlinear Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Lift-Based Bidding in Ad Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
User Clustering in Online Advertising via Topic Models.
CoRR, 2015

Smart Pacing for Effective Online Ad Campaign Optimization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Tumblr Blog Recommendation with Boosted Inductive Matrix Completion.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Visual Sentiment Prediction with Deep Convolutional Neural Networks.
CoRR, 2014

Recommending Tumblr Blogs to Follow with Inductive Matrix Completion.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

2013
Real time bid optimization with smooth budget delivery in online advertising.
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising, 2013

2012
Estimating conversion rate in display advertising from past erformance data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2008
Markov random field models for hair and face segmentation.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

A bottom-up framework for robust facial feature detection.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
Contextual Identity Recognition in Personal Photo Albums.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Large Margin Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Representing the Appearances of Human Faces for Recognition
PhD thesis, 2005

Acquiring Linear Subspaces for Face Recognition under Variable Lighting.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Visual tracking and recognition using probabilistic appearance manifolds.
Comput. Vis. Image Underst., 2005

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation.
Proceedings of the Advances in Visual Computing, First International Symposium, 2005

Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

A Practical Face Relighting Method for Directional Lighting Normalization.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005

2004
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry.
Proceedings of the Computer Vision, 2004

Visual Tracking Using Learned Linear Subspaces.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Video-Based Face Recognition Using Probabilistic Appearance Manifolds.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Clustering Appearances of Objects Under Varying Illumination Conditions.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2001
Compressing Large Polygonal Models.
Proceedings of the 12th IEEE Visualization Conference, 2001

Nine Points of Light: Acquiring Subspaces for Face Recognition under Variable Lighting.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001


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