Kuang-Chih Lee

Walmart (United States) — United States

Business, Management and Accounting · Social Sciences

19h-index5.4kcitations67works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Consumer Market Behavior and Pricing(13), Face and Expression Recognition(11), Auction Theory and Applications(11), Recommender Systems and Techniques(9), Supply Chain and Inventory Management(7)

Publications67 total

AdKDD 2025
2025Open Access
Optimal Bidding, Allocation, and Budget Spending for a Demand-Side Platform With Generic Auctions
Production and Operations Management·2025Open Access
Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains
arXiv (Cornell University)·2025Open Access
Adaptive Conformal Inference by Betting
arXiv (Cornell University)·2024Open Access
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment
2024
AdKDD 2024
2024
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation
arXiv (Cornell University)·2023Open Access
Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce
arXiv (Cornell University)·2023· 8 citedOpen Access
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023
2023
AdKDD 2023
2023
Bid Optimization for Offsite Display Ad Campaigns on eCommerce
arXiv (Cornell University)·2023· 1 citedOpen Access
AdKDD 2022
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 1 cited
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 1 cited
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
2021· 15 cited
AutoHERI
2021· 8 cited
Binary Code based Hash Embedding for Web-scale Applications
2021· 14 cited
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
arXiv (Cornell University)·2021· 1 citedOpen Access
Binary Code based Hash Embedding for Web-scale Applications
arXiv (Cornell University)·2021Open Access
AdKDD 2021
2021
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021
2021
page 1 of 4Next →

Frequent Co-authors

David Kriegman(10), Jian Xu(6), Jeffrey Ho(5), Bo Zheng(5), J. Ho(4), Ming–Hsuan Yang(4), Ali Dasdan(4), Suleyman Cetintas(4), Wei Lin(4), Donghyuk Shin(3), Shandian Zhe(3), Qizhi Zhang(3), Hongying Bao(3), Yuan You(3), Dongbai Guo(3), Quan Lu(3), Bencheng Yan(3), Pengjie Wang(3), Paul Grigas(3), Alfonso Lobos(3)