Qin, Yao

20 publications

WACV 2025 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu

CVPR 2025 Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu, Yao Qin

ICLRW 2025 Model Collapse in the Self-Consuming Chain of Diffusion Finetuning: A Novel Perspective from Quantitative Trait Modeling Youngseok Yoon, Dainong Hu, Iain Weissburg, Yao Qin, Haewon Jeong

ICLR 2025 NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions Mehak Preet Dhaliwal, Andong Hua, Laya Pullela, Ryan Burke, Yao Qin

ICLR 2024 Enhancing Small Medical Learners with Privacy-Preserving Contextual Prompting Xinlu Zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Ruth Petzold

ICML 2024 Fast Decision Boundary Based Out-of-Distribution Detector Litian Liu, Yao Qin

AISTATS 2024 Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow

CVPR 2024 Initialization Matters for Adversarial Transfer Learning Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin

NeurIPS 2023 Effective Robustness Against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin

NeurIPSW 2023 Enhancing Small Medical Learners with Privacy-Preserving Contextual Prompting Xinlu Zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Ruth Petzold

ICMLW 2023 Robust Deep Learning via Layerwise Tilted Exponentials Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow

ECCV 2022 Are Vision Transformers Robust to Patch Perturbations? Jindong Gu, Volker Tresp, Yao Qin

ICMLW 2022 Evaluating Model Robustness to Patch Perturbations Jindong Gu, Volker Tresp, Yao Qin

NeurIPS 2022 Understanding and Improving Robustness of Vision Transformers Through Patch-Based Negative Augmentation Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang

NeurIPS 2021 Improving Calibration Through the Relationship with Adversarial Robustness Yao Qin, Xuezhi Wang, Alex Beutel, Ed Chi

NeurIPSW 2021 Understanding and Improving Robustness of VisionTransformers Through Patch-Based NegativeAugmentation Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang

ICLR 2020 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison Cottrell, Geoffrey Hinton

ICML 2019 Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition Yao Qin, Nicholas Carlini, Garrison Cottrell, Ian Goodfellow, Colin Raffel

IJCAI 2017 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell

CVPR 2015 Saliency Detection via Cellular Automata Yao Qin, Huchuan Lu, Yiqun Xu, He Wang