Adversarial and Cooperative Correlated Domain Adaptation based Multimodal Emotion Recognition. - Jielin Qiu; Xiaoshi Chen; Kai Hu (AffCon@AAAI, 2019)

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 026; Ding Zhao (MLHC, 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)

MHMS: Multimodal Hierarchical Multimedia Summarization. - Jielin Qiu; Jiacheng Zhu; Mengdi Xu; Franck Dernoncourt; Trung Bui; Zhaowen Wang; Bo Li 026; 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 026; Ding Zhao (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 026; Ding Zhao; Hailin Jin (CoRR, 2022)

Are Multimodal Models Robust to Image and Text Perturbations? - Jielin Qiu; Yi Zhu 001; Xingjian Shi; Florian Wenzel; Zhiqiang Tang 001; Ding Zhao; Bo Li 026; Mu Li 003 (CoRR, 2022)

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. - Jielin Qiu; Jiacheng Zhu; Mengdi Xu; Franck Dernoncourt; Trung Bui; Zhaowen Wang; Bo Li 026; Ding Zhao; Hailin Jin (ACL (Findings), 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 026; Ding Zhao (AISTATS, 2023)

Align and Attend: Multimodal Summarization with Dual Contrastive Losses. - Bo He 004; Jun Wang 090; Jielin Qiu; Trung Bui; Abhinav Shrivastava; Zhaowen Wang (CVPR, 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 (EACL (Findings), 2023)

Can Brain Signals Reveal Inner Alignment with Human Languages? - Jielin Qiu; William Han; Jiacheng Zhu; Mengdi Xu; Douglas Weber; Bo Li 026; Ding Zhao (EMNLP (Findings), 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 (ICASSP, 2023)

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. - Jiacheng Zhu; Jielin Qiu; Aritra Guha; Zhuolin Yang; XuanLong Nguyen; Bo Li 026; Ding Zhao (ICML, 2023)

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. - Jielin Qiu; Jiacheng Zhu; Shiqi Liu 005; William Han; Jingqi Zhang; Chaojing Duan; Michael A. Rosenberg; Emerson Liu; Douglas Weber; Ding Zhao (ML4H@NeurIPS, 2023)

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

Interpolation for Robust Learning: Data Augmentation on Geodesics. - Jiacheng Zhu; Jielin Qiu; Aritra Guha; Zhuolin Yang; XuanLong Nguyen; Bo Li 026; Ding Zhao (CoRR, 2023)

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. - Jielin Qiu; Jiacheng Zhu; Shiqi Liu 005; William Han; Jingqi Zhang; Chaojing Duan; Michael A. Rosenberg; Emerson Liu; Douglas Weber; Ding Zhao (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 001; Christopher Nguyen; Byung-Hak Kim; Debbie Kwon; Douglas Weber; Ding Zhao; et al. (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 026; Ding Zhao; Lijuan Wang (CoRR, 2023)

Offline Reinforcement Learning with Imbalanced Datasets. - Li Jiang 008; Sijie Chen; Jielin Qiu; Haoran Xu 003; Wai Kin Chan; Zhao Ding (CoRR, 2023)

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 026; Lijuan Wang (CVPR, 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; Babak Damavandi; Xin Dong 001; Christos Faloutsos; Lei Li 005; Seungwhan Moon (EMNLP (Findings), 2024)

Embodied Executable Policy Learning with Language-based Scene Summarization. - Jielin Qiu; Mengdi Xu; William Han; Seungwhan Moon; Ding Zhao (NAACL-HLT, 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 005; Lijuan Wang (CoRR, 2024)

Evaluating Durability: Benchmark Insights into Multimodal Watermarking. - Jielin Qiu; William Han; Xuandong Zhao; Shangbang Long; Christos Faloutsos; Lei Li 005 (CoRR, 2024)

On the Alignment, Robustness, and Generalizability of Multimodal Learning - Jielin Qiu (2024)

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning. - Yiqing Liang; Jielin Qiu; Wenhao Ding; Zuxin Liu; James Tompkin 001; Mengdi Xu; Mengzhou Xia; Zhengzhong Tu; Laixi Shi; Jiacheng Zhu (CoRR, 2025)

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. - Zhiwei Liu 001; Jielin Qiu; Shiyu Wang; Jianguo Zhang 005; Zuxin Liu; Roshan Ram; Haolin Chen; Weiran Yao; Huan Wang 014; Shelby Heinecke; Silvio Savarese; Caiming Xiong (CoRR, 2025)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models. - Rithesh Murthy; Ming Zhu; Liangwei Yang; Jielin Qiu; Juntao Tan; Shelby Heinecke; Caiming Xiong; Silvio Savarese; Huan Wang 016 (CoRR, 2025)

LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering. - Jielin Qiu; Zuxin Liu; Zhiwei Liu 001; Rithesh Murthy; Jianguo Zhang 005; Haolin Chen; Shiyu Wang; Ming Zhu; Liangwei Yang; Juntao Tan; Zhepeng Cen; Cheng Qian 008; et al. (CoRR, 2025)

UserRL: Training Interactive User-Centric Agent via Reinforcement Learning. - Cheng Qian 008; Zuxin Liu; Akshara Prabhakar; Jielin Qiu; Zhiwei Liu 001; Haolin Chen; Shirley Kokane; Heng Ji 001; Weiran Yao; Shelby Heinecke; Silvio Savarese; Caiming Xiong; et al. (CoRR, 2025)

CoDA: Coding LM via Diffusion Adaptation. - Haolin Chen; Shiyu Wang; Can Qin; Bo Pang 004; Zuxin Liu; Jielin Qiu; Jianguo Zhang 006; Yingbo Zhou; Zeyuan Chen 001; Ran Xu 001; Shelby Heinecke; Silvio Savarese; et al. (CoRR, 2025)

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning. - Cheng Qian 008; Zuxin Liu; Shirley Kokane; Akshara Prabhakar; Jielin Qiu; Haolin Chen; Zhiwei Liu 001; Heng Ji 001; Weiran Yao; Shelby Heinecke; Silvio Savarese; Caiming Xiong; et al. (CoRR, 2025)