Qiu, Jielin

11 publications

DMLR 2024 Benchmarking Robustness of Multimodal Image-Text Models Under Distribution Shift Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

DMLR 2024 Evaluating Durability: Benchmark Insights into Image and Text Watermarking Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li

CVPR 2024 MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang

CVPR 2023 Align and Attend: Multimodal Summarization with Dual Contrastive Losses Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang

AISTATS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao

ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen, Bo Li, Ding Zhao

WACV 2023 LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin

ICMLW 2023 Visual-Based Policy Learning with Latent Language Encoding Jielin Qiu, Mengdi Xu, William Han, Bo Li, Ding Zhao

NeurIPSW 2022 Benchmarking Robustness Under Distribution Shift of Multimodal Image-Text Models Jielin Qiu, Yi Zhu, Xingjian Shi, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

MLHC 2022 GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao

NeurIPS 2019 Visual Sequence Learning in Hierarchical Prediction Networks and Primate Visual Cortex Jielin Qiu, Ge Huang, Tai Sing Lee