Semi-Supervised Self-Training of Object Detection Models. - Chuck Rosenberg 001; Martial Hebert; Henry Schneiderman (WACV/MOTION, 2005)

Google image swirl: a large-scale content-based image visualization system. - Yushi Jing; Henry A. Rowley; Jingbin Wang; David Tsai 002; Chuck Rosenberg 001; Michele Covell (WWW (Companion Volume), 2012)

Learning Fine-Grained Image Similarity with Deep Ranking. - Jiang Wang 001; Yang Song 009; Thomas Leung; Chuck Rosenberg 001; Jingbin Wang; James Philbin; Bo Chen 019; Ying Wu 001 (CVPR, 2014)

Learning semantic relationships for better action retrieval in images. - Vignesh Ramanathan; Congcong Li; Jia Deng 001; Wei Han; Zhen Li 028; Kunlong Gu; Yang Song 009; Samy Bengio; Chuck Rosenberg 001; Li Fei-Fei 001 (CVPR, 2015)

Towards A Semantic Perceptual Image Metric. - Troy T. Chinen; Johannes Ballé; Chunhui Gu; Sung Jin Hwang; Sergey Ioffe; Nick Johnston; Thomas Leung; David Minnen; Sean M. O'Malley; Charles Rosenberg 001; George Toderici (ICIP, 2018)

Complete the Look: Scene-Based Complementary Product Recommendation. - Wang-Cheng Kang; Eric Kim; Jure Leskovec; Charles Rosenberg 001; Julian J. McAuley (CVPR, 2019)

Learning a Unified Embedding for Visual Search at Pinterest. - Andrew Zhai; Hao-Yu Wu; Eric Tzeng; Dong Huk Park; Charles Rosenberg 001 (KDD, 2019)

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. - Jiaxuan You; Yichen Wang 001; Aditya Pal; Pong Eksombatchai; Chuck Rosenberg 001; Jure Leskovec (WWW, 2019)

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. - Aditya Pal; Chantat Eksombatchai; Yitong Zhou; Bo Zhao; Charles Rosenberg 001; Jure Leskovec (KDD, 2020)

Shop The Look: Building a Large Scale Visual Shopping System at Pinterest. - Raymond Shiau; Hao-Yu Wu; Eric Kim; Yue Li Du; Anqi Guo; Zhiyuan Zhang; Eileen Li; Kunlong Gu; Charles Rosenberg 001; Andrew Zhai (KDD, 2020)

MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. - Carl Yang 001; Aditya Pal; Andrew Zhai; Nikil Pancha; Jiawei Han 001; Charles Rosenberg 001; Jure Leskovec (KDD, 2020)

Practical Automatic Thumbnail Generation for Short Videos. - Bin Shen; Nikil Pancha; Andrew Zhai; Charles Rosenberg 001 (IMAWM, 2021)

ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. - Paul Baltescu; Haoyu Chen; Nikil Pancha; Andrew Zhai; Jure Leskovec; Charles Rosenberg 001 (KDD, 2022)

PinnerFormer: Sequence Modeling for User Representation at Pinterest. - Nikil Pancha; Andrew Zhai; Jure Leskovec; Charles Rosenberg 001 (KDD, 2022)

Rethinking Personalized Ranking at Pinterest: An End-to-End Approach. - Jiajing Xu; Andrew Zhai; Charles Rosenberg 001 (RecSys, 2022)

Modeling User Behavior With Interaction Networks for Spam Detection. - Prabhat Agarwal; Manisha Srivastava; Vishwakarma Singh; Charles Rosenberg 001 (SIGIR, 2022)

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. - Saket Gurukar; Nikil Pancha; Andrew Zhai; Eric Kim; Samson Hu; Srinivasan Parthasarathy 001; Charles Rosenberg 001; Jure Leskovec (Proc. VLDB Endow., 2022)

OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search. - Prabhat Agarwal; Minhazul Islam SK; Nikil Pancha; Kurchi Subhra Hazra; Jiajing Xu; Chuck Rosenberg 001 (WWW (Companion Volume), 2024)

PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems. - Anirudhan Badrinath; Prabhat Agarwal; Laksh Bhasin; Jaewon Yang; Jiajing Xu; Charles Rosenberg 001 (CoRR, 2025)

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning. - Anirudhan Badrinath; Alex Yang; Kousik Rajesh; Prabhat Agarwal; Jaewon Yang; Haoyu Chen; Jiajing Xu; Charles Rosenberg 001 (CoRR, 2025)

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform. - Xiangyi Chen; Kousik Rajesh; Matthew Lawhon; Zelun Wang; Hanyu Li; Haomiao Li; Saurabh Vishwas Joshi; Pong Eksombatchai; Jaewon Yang; Yi-Ping Hsu; Jiajing Xu; Charles Rosenberg 001 (CoRR, 2025)