Graphic Realizations of Joint-Degree Matrices. - Georgios Amanatidis; Bradley Green; Milena Mihail (CoRR, 2015)

Connected realizations of joint-degree matrices. - Georgios Amanatidis; Bradley Green; Milena Mihail (Discret. Appl. Math., 2018)

Selected Compositions III (1986-2017). - Bradley Green (Comput. Music. J., 2019)

Search to Distill: Pearls are Everywhere but not the Eyes. - Yu Liu; Xuhui Jia; Mingxing Tan; Raviteja Vemulapalli; Yukun Zhu; Bradley Green; Xiaogang Wang (CoRR, 2019)

Search to Distill: Pearls Are Everywhere but Not the Eyes. - Yu Liu 015; Xuhui Jia; Mingxing Tan; Raviteja Vemulapalli; Yukun Zhu; Bradley Green; Xiaogang Wang 001 (CVPR, 2020)

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. - Huiyu Wang; Yukun Zhu; Bradley Green; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (4), 2020)

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. - Neo Wu; Bradley Green; Xue Ben; Shawn O'Banion (CoRR, 2020)

Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. - Bardia Doosti; Ching-Hui Chen; Raviteja Vemulapalli; Xuhui Jia; Yukun Zhu; Bradley Green (AAAI, 2021)

Ranking Neural Checkpoints. - Yandong Li; Xuhui Jia; Ruoxin Sang; Yukun Zhu; Bradley Green; Liqiang Wang 001; Boqing Gong (CVPR, 2021)

Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. - Xuhui Jia; Kai Han 001; Yukun Zhu; Bradley Green (ICCV, 2021)

Contrastive Learning for Label Efficient Semantic Segmentation. - Xiangyun Zhao; Raviteja Vemulapalli; Philip Andrew Mansfield; Boqing Gong; Bradley Green; Lior Shapira; Ying Wu 001 (ICCV, 2021)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 2021)

Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. - Luyang Liu; David Racz; Kara Vaillancourt; Julie Michelman; Matt Barnes 001; Stefan Mellem; Paul Eastham; Bradley Green; Charles Armstrong; Rishi Bal; Shawn O'Banion; Feng Guo (CoRR, 2022)

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. - Raviteja Vemulapalli; Warren Richard Morningstar; Philip Andrew Mansfield; Hubert Eichner; Karan Singhal; Arash Afkanpour; Bradley Green (CoRR, 2022)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. - Inkyu Shin; Dahun Kim; Qihang Yu; Jun Xie; Hong-Seok Kim; Bradley Green; In So Kweon; Kuk-Jin Yoon; Liang-Chieh Chen (WACV, 2024)

Augmentations vs Algorithms: What Works in Self-Supervised Learning. - Warren R. Morningstar; Alex Bijamov; Chris Duvarney; Luke Friedman; Neha Mukund Kalibhat; Luyang Liu; Philip Andrew Mansfield; Renan A. Rojas-Gomez; Karan Singhal; Bradley Green; Sushant Prakash (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches. - Chao Wang; Neo Wu; Lin Ning 001; Luyang Liu; Jun Xie; Shawn O'Banion; Bradley Green (CoRR, 2024)

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. - Jiaxing Wu; Lin Ning 001; Luyang Liu; Harrison Lee 001; Neo Wu; Chao Wang; Sushant Prakash; Shawn O'Banion; Bradley Green; Jun Xie (AAAI, 2025)

User-LLM: Efficient LLM Contextualization with User Embeddings. - Lin Ning 001; Luyang Liu; Jiaxing Wu; Neo Wu; Devora Berlowitz; Sushant Prakash; Bradley Green; Shawn O'Banion; Jun Xie (WWW (Companion Volume), 2025)

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning. - Yuhan Liu; Lin Ning 001; Neo Wu; Karan Singhal; Philip Andrew Mansfield; Devora Berlowitz; Sushant Prakash; Bradley Green (CoRR, 2025)