Recognizing Images of Eating Disorders in Social Media. - Robert Pless; Rebecca Begtrup; Lulwah Alkulaib; Samsara N. Counts; James Harnett; Justine-Louise Manning; Hong Xuan; David A. Broniatowski (SMM4H@AMIA, 2017)

Deep Randomized Ensembles for Metric Learning. - Hong Xuan; Richard Souvenir; Robert Pless (ECCV (16), 2018)

Hotels-50K: A Global Hotel Recognition Dataset. - Abby Stylianou; Hong Xuan; Maya Shende; Jonathan Brandt; Richard Souvenir; Robert Pless (AAAI, 2019)

Visualizing How Embeddings Generalize. - Xiaotong Liu; Hong Xuan; Zeyu Zhang; Abby Stylianou; Robert Pless (CoRR, 2019)

Hard Negative Examples are Hard, but Useful. - Hong Xuan; Abby Stylianou; Xiaotong Liu; Robert Pless (ECCV (14), 2020)

Improved Embeddings with Easy Positive Triplet Mining. - Hong Xuan; Abby Stylianou; Robert Pless (WACV, 2020)

Dissecting the impact of different loss functions with gradient surgery. - Hong Xuan; Robert Pless (CoRR, 2022)

Dissecting Deep Metric Learning Losses for Image-Text Retrieval. - Hong Xuan; Xi Chen (CoRR, 2022)

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. - Kan Wu; Houwen Peng; Zhenghong Zhou; Bin Xiao 004; Mengchen Liu; Lu Yuan; Hong Xuan; Michael Valenzuela; Xi Stephen Chen; Xinggang Wang; Hongyang Chao; Han Hu 001 (ICCV, 2023)

Dissecting Deep Metric Learning Losses for Image-Text Retrieval. - Hong Xuan; Xi Stephen Chen (WACV, 2023)

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. - Kan Wu; Houwen Peng; Zhenghong Zhou; Bin Xiao 004; Mengchen Liu; Lu Yuan; Hong Xuan; Michael Valenzuela; Xi Chen; Xinggang Wang; Hongyang Chao; Han Hu 001 (CoRR, 2023)

LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information. - Ke Wang; Hong Xuan (CoRR, 2024)