Jiuxiang Gu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 92

Top Topics

Image Generation

Kernel Regression

Top Venues

Publications

Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Differential Privacy of Cross-Attention with Provable Guarantee. CoRR (2024)
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
LRM: Large Reconstruction Model for Single Image to 3D. ICLR (2024)
Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. CoRR (2024)
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
Toward Infinite-Long Prefix in Transformer. CoRR (2024)
Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun
TRINS: Towards Multimodal Language Models that Can Read. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR (2024)
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR (2024)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. CoRR (2024)
Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR (2024)
Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun
ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR (2024)
Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR (2024)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. ACL (Findings) (2024)
Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang
ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR (2024)
Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain
DocScript: Document-level Script Event Prediction. LREC/COLING (2024)
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR (2024)
Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR (2024)
Sanket Biswas, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Puneet Mathur, Curtis Wigington, Tong Sun, Josep Lladós
DocSynthv2: A Practical Autoregressive Modeling for Document Generation. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR (2024)
Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) (2023)
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia
Open World Entity Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
High Quality Entity Segmentation. ICCV (2023)
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
AIMS: All-Inclusive Multi-Level Segmentation. CoRR (2023)
Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR (2023)
Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. CoRR (2023)
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
LRM: Large Reconstruction Model for Single Image to 3D. CoRR (2023)
Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu
DocEdit: Language-Guided Document Editing. AAAI (2023)
Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova
Learning the Visualness of Text Using Large Vision-Language Models. CoRR (2023)
Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu
LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. WACV (2023)
Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova
Learning the Visualness of Text Using Large Vision-Language Models. EMNLP (2023)
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun
Customization Assistant for Text-to-image Generation. CoRR (2023)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR (2023)
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
AIMS: All-Inclusive Multi-Level Segmentation for Anything. NeurIPS (2023)
Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
Fine-Grained Entity Segmentation. CoRR (2022)
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
Towards Language-Free Training for Text-to-Image Generation. CVPR (2022)
Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
Improving the Reliability for Confidence Estimation. ECCV (27) (2022)
Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. CoRR (2022)
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR (2022)
Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain
DocTime: A Document-level Temporal Dependency Graph Parser. NAACL-HLT (2022)
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
Delving into Out-of-Distribution Detection with Vision-Language Representations. NeurIPS (2022)
Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR (2022)
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun
Unified Pretraining Framework for Document Understanding. CoRR (2022)
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) (2022)
Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu
UNISON: Unpaired Cross-Lingual Image Captioning. AAAI (2022)
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
User-Entity Differential Privacy in Learning Natural Language Models. Big Data (2022)
Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. ECCV (31) (2022)
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW (2022)
Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. EMNLP (2022)
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI (2022)
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
User-Entity Differential Privacy in Learning Natural Language Models. CoRR (2022)
Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. ECCV (27) (2022)
Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. CoRR (2022)
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
Delving into Out-of-Distribution Detection with Vision-Language Representations. CoRR (2022)
Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. INTERSPEECH (2022)
Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
Improving the Reliability for Confidence Estimation. CoRR (2022)
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
Multi-Scale Aligned Distillation for Low-Resolution Detection. CoRR (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CVPR (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CoRR (2021)
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia
Open-World Entity Segmentation. CoRR (2021)
Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. CoRR (2021)
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT (2021)
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR (2021)
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR (2021)
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun
UniDoc: Unified Pretraining Framework for Document Understanding. NeurIPS (2021)
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
Multi-Scale Aligned Distillation for Low-Resolution Detection. CVPR (2021)
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR (2021)
Huiyuan Yang, Lijun Yin, Yi Zhou, Jiuxiang Gu
Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection. CVPR (2021)
Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun
Self-Supervised Relationship Probing. NeurIPS (2020)
Xiangxi Shi, Jianfei Cai, Jiuxiang Gu, Shafiq R. Joty
Video captioning with boundary-aware hierarchical language decoding and joint video prediction. Neurocomputing 417 (2020)
Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning. ECCV (14) (2020)
Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu
Unsupervised Cross-lingual Image Captioning. CoRR (2020)
Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning. CoRR (2020)
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
Scene Graph Generation with External Knowledge and Image Reconstruction. CoRR (2019)
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
Scene Graph Generation With External Knowledge and Image Reconstruction. CVPR (2019)
Shuhan Yao, Jiuxiang Gu, Peng Wang, Tianyang Zhao, Huajun Zhang, Xiaochuan Liu
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach. CoRR (2019)
Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang
Unpaired Image Captioning via Scene Graph Alignments. CoRR (2019)
Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang
Unpaired Image Captioning via Scene Graph Alignments. ICCV (2019)
Xiangxi Shi, Jianfei Cai, Shafiq R. Joty, Jiuxiang Gu
Watch It Twice: Video Captioning with a Refocused Video Encoder. CoRR (2019)
Xiangxi Shi, Jianfei Cai, Shafiq R. Joty, Jiuxiang Gu
Watch It Twice: Video Captioning with a Refocused Video Encoder. ACM Multimedia (2019)
Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. AAAI (2018)
Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Gang Wang
Unpaired Image Captioning by Language Pivoting. CoRR (2018)
Muhammet Bastan, Xiangxi Shi, Jiuxiang Gu, Zhao Heng, Chen Zhuo, Dennis Sng, Alex C. Kot
NTU ROSE Lab at TRECVID 2018: Ad-hoc Video Search and Video to Text. TRECVID (2018)
Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models. CVPR (2018)
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen
Recent advances in convolutional neural networks. Pattern Recognit. 77 (2018)
Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Gang Wang
Unpaired Image Captioning by Language Pivoting. ECCV (1) (2018)
Xiangxi Shi, Jianfei Cai, Jiuxiang Gu, Shafiq R. Joty
Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction. CoRR (2018)
Jiuxiang Gu, Gang Wang, Jianfei Cai, Tsuhan Chen
An Empirical Study of Language CNN for Image Captioning. ICCV (2017)
Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. CoRR (2017)
Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models. CoRR (2017)
Jiuxiang Gu, Gang Wang, Tsuhan Chen
Recurrent Highway Networks with Language CNN for Image Captioning. CoRR (2016)
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang
Recent Advances in Convolutional Neural Networks. CoRR (2015)