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Jiuxiang Gu

Research Scientist

Maryland

Jiuxiang Gu is a Research Scientist in the Document Intelligence Lab (DIL) of Adobe Research at Maryland site. He obtained his Ph.D. degree at Nanyang Technological University (NTU), Singapore, where he focused on the fusion of deep learning and reasoning for computer vision, such as image captioning, cross-modal retrieval, scene graph generation, visual question answering and so on.

His research interests lie at the intersection of computer vision and natural language processing. His contact email is jigu@adobe.com, and more information is available on his personal website.

Publications

Customization Assistant for Text-to-image Generation

Zhou, Y., Zhang, R., Gu, J., Sun, T. (Jun. 17, 2024)

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TRINS: Towards Multimodal Language Models that Can Read

Zhang, R., Zhang, Y., Chen, J., Zhou, Y., Gu, J., Chen, C., Sun, T. (Jun. 17, 2024)

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DocScript: New Task, Dataset, and Models for Document-level Script Event Prediction

Mathur, P., Morariu, V., Garimella, A., Dernoncourt, F., Gu, J., Sawhney, R., Nakov, P., Manocha, D., Jain, R. (May. 25, 2024)

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DocEdit: Language-guided Document Editing

Mathur, P., Jain, R., Gu, J., Dernoncourt, F., Manocha, D., Morariu, V. (Feb. 14, 2023)

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LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents

Mathur, P., Jain, R., Mehra, A., Gu, J., Dernoncourt, F., Natarajan, A., Tran, Q., Kaynig-Fittkau, V., Nenkova, A., Manocha, D., Morariu, V. (Jan. 6, 2023)

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User-Entity Differential Privacy in Learning Natural Language Models

Lai, P., Phan, N., Sun, T., Jain, R., Dernoncourt, F., Gu, J., Barmpalios, N. (Dec. 20, 2022)

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EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

Ma, H., Zhao, H., Lin, Z., Kale, A., Wang, Z., Yu, T., Gu, J., Choudhary, S., Xie, X. (Sep. 27, 2022)

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DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis

Mathur, P., Dernoncourt, F., Tran, Q., Gu, J., Nenkova, A., Morariu, V., Jain, R., Manocha, D. (Sep. 22, 2022)

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DocTime: A Document-level Temporal Dependency Graph Parser

Mathur, P., Morariu, V., Kaynig-Fittkau, V., Gu, J., Dernoncourt, F., Tran, Q., Nenkova, A., Manocha, D., Jain, R. (Jul. 15, 2022)

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Multi-Scale Aligned Distillation for Low-Resolution Detection

Qi, L., Kuen, J., Gu, J., Lin, Z., Wang, Y., Chen, Y., Li, Y., Jia, J. (Jun. 21, 2021)

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Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models

Du, M., Manjunatha, V., Jain, R., Deshpande, R., Dernoncourt, F., Gu, J., Sun, T., Hu, X. (Jun. 11, 2021)

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