Jielin Qiu

According to our database, Jielin Qiu authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition.

Jielin Qiu, William Han, Winfred Wang, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Christos Faloutsos, Lei Li, Lijuan Wang

CoRR, 2024

SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM.

Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Xin Luna Dong, Christos Faloutsos, Lei Li, Babak Damavandi, Seungwhan Moon

CoRR, 2024

2023

Offline Reinforcement Learning with Imbalanced Datasets.

Li Jiang, Sijie Chen, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding

CoRR, 2023

Embodied Executable Policy Learning with Language-based Scene Summarization.

Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao

CoRR, 2023

MultiSum: 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, Bo Li, Ding Zhao, Lijuan Wang

CoRR, 2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.

Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen

CoRR, 2023

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

CoRR, 2023

Interpolation for Robust Learning: Data Augmentation on Geodesics.

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao

CoRR, 2023

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos.

Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Machine Learning for Health, 2023

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics.

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

Can Brain Signals Reveal Inner Alignment with Human Languages?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Align and Attend: Multimodal Summarization with Dual Contrastive Losses.

Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Are Multimodal Models Robust to Image and Text Perturbations?

Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

CoRR, 2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

CoRR, 2022

An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.

William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

CoRR, 2022

MHMS: Multimodal Hierarchical Multimedia Summarization.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

CoRR, 2022

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.

Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, 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

Proceedings of the Machine Learning for Healthcare Conference, 2022

2019

Adversarial and Cooperative Correlated Domain Adaptation based Multimodal Emotion Recognition.

Jielin Qiu, Xiaoshi Chen, Kai Hu

Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019