Recent Advances in Convolutional Neural Networks. - Jiuxiang Gu; Zhenhua Wang 002; Jason Kuen; Lianyang Ma; Amir Shahroudy; Bing Shuai; Ting Liu 009; Xingxing Wang; Gang Wang 012 (CoRR, 2015)

Recurrent Highway Networks with Language CNN for Image Captioning. - Jiuxiang Gu; Gang Wang 012; Tsuhan Chen (CoRR, 2016)

An Empirical Study of Language CNN for Image Captioning. - Jiuxiang Gu; Gang Wang 012; Jianfei Cai 001; Tsuhan Chen (ICCV, 2017)

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. - Jiuxiang Gu; Jianfei Cai 001; Gang Wang 012; Tsuhan Chen (AAAI, 2018)

Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models. - Jiuxiang Gu; Jianfei Cai 001; Shafiq R. Joty; Li Niu 002; Gang Wang 012 (CVPR, 2018)

Unpaired Image Captioning by Language Pivoting. - Jiuxiang Gu; Shafiq R. Joty; Jianfei Cai 001; Gang Wang 012 (ECCV (1), 2018)

NTU ROSE Lab at TRECVID 2018: Ad-hoc Video Search and Video to Text. - Muhammet Bastan; Xiangxi Shi; Jiuxiang Gu; Zhao Heng; Chen Zhuo; Dennis Sng; Alex C. Kot (TRECVID, 2018)

Recent advances in convolutional neural networks. - Jiuxiang Gu; Zhenhua Wang 002; Jason Kuen; Lianyang Ma; Amir Shahroudy; Bing Shuai; Ting Liu 009; Xingxing Wang; Gang Wang 012; Jianfei Cai 001; Tsuhan Chen (Pattern Recognit., 2018)

Scene Graph Generation With External Knowledge and Image Reconstruction. - Jiuxiang Gu; Handong Zhao; Zhe Lin 001; Sheng Li 001; Jianfei Cai 001; Mingyang Ling 001 (CVPR, 2019)

Unpaired Image Captioning via Scene Graph Alignments. - Jiuxiang Gu; Shafiq R. Joty; Jianfei Cai 001; Handong Zhao; Xu Yang 021; Gang Wang 012 (ICCV, 2019)

Watch It Twice: Video Captioning with a Refocused Video Encoder. - Xiangxi Shi; Jianfei Cai 001; Shafiq R. Joty; Jiuxiang Gu (ACM Multimedia, 2019)

Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach. - Shuhan Yao; Jiuxiang Gu; Peng Wang 017; Tianyang Zhao; Huajun Zhang 003; Xiaochuan Liu (CoRR, 2019)

Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning. - Xiangxi Shi; Xu Yang 021; Jiuxiang Gu; Shafiq R. Joty; Jianfei Cai 001 (ECCV (14), 2020)

Self-Supervised Relationship Probing. - Jiuxiang Gu; Jason Kuen; Shafiq R. Joty; Jianfei Cai 001; Vlad I. Morariu; Handong Zhao; Tong Sun 005 (NeurIPS, 2020)

Unsupervised Cross-lingual Image Captioning. - Jiahui Gao; Yi Zhou; Philip L. H. Yu; Jiuxiang Gu (CoRR, 2020)

Video captioning with boundary-aware hierarchical language decoding and joint video prediction. - Xiangxi Shi; Jianfei Cai 001; Jiuxiang Gu; Shafiq R. Joty (Neurocomputing, 2020)

SelfDoc: Self-Supervised Document Representation Learning. - Peizhao Li; Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Rajiv Jain; Varun Manjunatha; Hongfu Liu 001 (CVPR, 2021)

Multi-Scale Aligned Distillation for Low-Resolution Detection. - Lu Qi; Jason Kuen; Jiuxiang Gu; Zhe Lin 001; Yi Wang 074; Yukang Chen; Yanwei Li; Jiaya Jia (CVPR, 2021)

Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection. - Huiyuan Yang; Lijun Yin 001; Yi Zhou; Jiuxiang Gu (CVPR, 2021)

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. - Mengnan Du; Varun Manjunatha; Rajiv Jain; Ruchi Deshpande; Franck Dernoncourt; Jiuxiang Gu; Tong Sun 005; Xia Hu 001 (NAACL-HLT, 2021)

UniDoc: Unified Pretraining Framework for Document Understanding. - Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Rajiv Jain; Nikolaos Barmpalios; Ani Nenkova; Tong Sun 005 (NeurIPS, 2021)

LAFITE: Towards Language-Free Training for Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Chris Tensmeyer; Tong Yu 001; Jiuxiang Gu; Jinhui Xu 001; Tong Sun 005 (CoRR, 2021)

CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. - Lu Qi; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Fengyun Rao; Dian Li; Weidong Guo; Zhen Wen; Jiaya Jia (CoRR, 2021)

UNISON: Unpaired Cross-Lingual Image Captioning. - Jiahui Gao; Yi Zhou; Philip L. H. Yu; Shafiq R. Joty; Jiuxiang Gu (AAAI, 2022)

TiGAN: Text-Based Interactive Image Generation and Manipulation. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Chris Tensmeyer; Tong Yu 001; Changyou Chen; Jinhui Xu 001; Tong Sun 005 (AAAI, 2022)

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. - Zihan Wang 001; Jiuxiang Gu; Jason Kuen; Handong Zhao; Vlad I. Morariu; Ruiyi Zhang 002; Ani Nenkova; Tong Sun 005; Jingbo Shang (ACL (Findings), 2022)

User-Entity Differential Privacy in Learning Natural Language Models. - Phung Lai; NhatHai Phan; Tong Sun 005; Rajiv Jain; Franck Dernoncourt; Jiuxiang Gu; Nikolaos Barmpalios (IEEE Big Data, 2022)

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. - Dat Huynh; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Ehsan Elhamifar (CVPR, 2022)

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. - Haoyu Ma; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Zhangyang Wang; Tong Yu 001; Jiuxiang Gu; Sunav Choudhary; Xiaohui Xie (CVPR, 2022)

Towards Language-Free Training for Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Changyou Chen; Chunyuan Li; Chris Tensmeyer; Tong Yu 001; Jiuxiang Gu; Jinhui Xu 001; Tong Sun 005 (CVPR, 2022)

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. - Lu Qi; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Fengyun Rao; Dian Li; Weidong Guo; Zhen Wen; Ming-Hsuan Yang 001; Jiaya Jia (ECCV (31), 2022)

Improving the Reliability for Confidence Estimation. - Haoxuan Qu; Yanchao Li; Lin Geng Foo; Jason Kuen; Jiuxiang Gu; Jun Liu 036 (ECCV (27), 2022)

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. - Li Xu; Haoxuan Qu; Jason Kuen; Jiuxiang Gu; Jun Liu 036 (ECCV (27), 2022)

MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. - Zilong Wang 002; Jiuxiang Gu; Chris Tensmeyer; Nikolaos Barmpalios; Ani Nenkova; Tong Sun 005; Jingbo Shang; Vlad I. Morariu (EMNLP, 2022)

DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. - Puneet Mathur; Franck Dernoncourt; Quan Hung Tran; Jiuxiang Gu; Ani Nenkova; Vlad I. Morariu; Rajiv Jain; Dinesh Manocha (INTERSPEECH, 2022)

DocTime: A Document-level Temporal Dependency Graph Parser. - Puneet Mathur; Vlad I. Morariu; Verena Kaynig-Fittkau; Jiuxiang Gu; Franck Dernoncourt; Quan Hung Tran; Ani Nenkova; Dinesh Manocha; Rajiv Jain (NAACL-HLT, 2022)

Delving into Out-of-Distribution Detection with Vision-Language Representations. - Yifei Ming; Ziyang Cai; Jiuxiang Gu; Yiyou Sun; Wei Li; Yixuan Li 001 (NeurIPS, 2022)

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. - Haoyu Wang 004; Handong Zhao; Yaqing Wang 001; Tong Yu 001; Jiuxiang Gu; Jing Gao 004 (WWW, 2022)

Unified Pretraining Framework for Document Understanding. - Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Nikolaos Barmpalios; Rajiv Jain; Ani Nenkova; Tong Sun 005 (CoRR, 2022)

Fine-Grained Entity Segmentation. - Lu Qi; Jason Kuen; Weidong Guo; Tiancheng Shen; Jiuxiang Gu; Wenbo Li 001; Jiaya Jia; Zhe Lin 001; Ming-Hsuan Yang 001 (CoRR, 2022)

DocEdit: Language-Guided Document Editing. - Puneet Mathur; Rajiv Jain; Jiuxiang Gu; Franck Dernoncourt; Dinesh Manocha; Vlad I. Morariu (AAAI, 2023)

A Critical Analysis of Document Out-of-Distribution Detection. - Jiuxiang Gu; Yifei Ming; Yi Zhou; Jason Kuen; Vlad I. Morariu; Handong Zhao; Ruiyi Zhang 002; Nikolaos Barmpalios; Anqi Liu; Yixuan Li 001; Tong Sun 005; Ani Nenkova (EMNLP (Findings), 2023)

Learning the Visualness of Text Using Large Vision-Language Models. - Gaurav Verma; Ryan A. Rossi; Christopher Tensmeyer; Jiuxiang Gu; Ani Nenkova (EMNLP, 2023)

High Quality Entity Segmentation. - Lu Qi; Jason Kuen; Tiancheng Shen; Jiuxiang Gu; Wenbo Li 001; Weidong Guo; Jiaya Jia; Zhe Lin 001; Ming-Hsuan Yang 001 (ICCV, 2023)

AIMS: All-Inclusive Multi-Level Segmentation for Anything. - Lu Qi; Jason Kuen; Weidong Guo; Jiuxiang Gu; Zhe Lin 001; Bo Du; Yu Xu; Ming-Hsuan Yang 001 (NeurIPS, 2023)

LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. - Puneet Mathur; Rajiv Jain; Ashutosh Mehra 002; Jiuxiang Gu; Franck Dernoncourt; Anandhavelu Natarajan; Quan Hung Tran; Verena Kaynig-Fittkau; Ani Nenkova; Dinesh Manocha; Vlad I. Morariu (WACV, 2023)

AIMS: All-Inclusive Multi-Level Segmentation. - Lu Qi; Jason Kuen; Weidong Guo; Jiuxiang Gu; Zhe Lin 001; Bo Du; Yu Xu; Ming-Hsuan Yang 001 (CoRR, 2023)

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. - Yanzhe Zhang; Ruiyi Zhang 002; Jiuxiang Gu; Yufan Zhou 001; Nedim Lipka; Diyi Yang; Tong Sun 005 (CoRR, 2023)

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. - Ming Li; Lichang Chen; Jiuhai Chen; Shwai He; Heng Huang; Jiuxiang Gu; Tianyi Zhou 001 (CoRR, 2023)

Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (CoRR, 2023)

Open World Entity Segmentation. - Lu Qi; Jason Kuen; Yi Wang 074; Jiuxiang Gu; Hengshuang Zhao; Philip H. S. Torr; Zhe Lin 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. - Ming Li; Lichang Chen; Jiuhai Chen; Shwai He; Jiuxiang Gu; Tianyi Zhou 001 (ACL (Findings), 2024)

DocScript: Document-level Script Event Prediction. - Puneet Mathur; Vlad I. Morariu; Aparna Garimella; Franck Dernoncourt; Jiuxiang Gu; Ramit Sawhney; Preslav Nakov; Dinesh Manocha; Rajiv Jain (LREC/COLING, 2024)

TRINS: Towards Multimodal Language Models that Can Read. - Ruiyi Zhang 002; Yanzhe Zhang; Jian Chen 043; Yufan Zhou 001; Jiuxiang Gu; Changyou Chen; Tong Sun 005 (CVPR, 2024)

Customization Assistant for Text-to-image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Tong Sun 005 (CVPR, 2024)

Advancing Vision-Language Models with Adapter Ensemble Strategies. - Yue Bai; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Jiuxiang Gu; Tong Yu 001; Sungchul Kim; Yun Fu 001 (EMNLP (Findings), 2024)

TextLap: Customizing Language Models for Text-to-Layout Planning. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Jennifer Healey; Jiuxiang Gu; Zhiqiang Xu; Changyou Chen (EMNLP (Findings), 2024)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. - Shengcao Cao; Jiuxiang Gu; Jason Kuen; Hao Tan 002; Ruiyi Zhang 002; Handong Zhao; Ani Nenkova; Liangyan Gui; Tong Sun 005; Yu-Xiong Wang (ICLR, 2024)

ADOPD: A Large-Scale Document Page Decomposition Dataset. - Jiuxiang Gu; Xiangxi Shi; Jason Kuen; Lu Qi; Ruiyi Zhang 002; Anqi Liu; Ani Nenkova; Tong Sun 005 (ICLR, 2024)

LRM: Large Reconstruction Model for Single Image to 3D. - Yicong Hong; Kai Zhang 045; Jiuxiang Gu; Sai Bi; Yang Zhou; Difan Liu; Feng Liu 015; Kalyan Sunkavalli; Trung Bui; Hao Tan 002 (ICLR, 2024)

Category-Aware Active Domain Adaptation. - Wenxiao Xiao; Jiuxiang Gu; Hongfu Liu 001 (ICML, 2024)

Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (NAACL-HLT (Findings), 2024)

Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. - Jiuxiang Gu; Chenyang Li; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Tianyi Zhou 011 (CoRR, 2024)

Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. - Jiuxiang Gu; Chenyang Li; Yingyu Liang; Zhenmei Shi; Zhao Song 002 (CoRR, 2024)

Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. - Jiuxiang Gu; Yingyu Liang; Heshan Liu; Zhenmei Shi; Zhao Song 002; Junze Yin (CoRR, 2024)

Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. - Jiuxiang Gu; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Yufa Zhou 001 (CoRR, 2024)

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. - Jiuxiang Gu; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Yufa Zhou 001 (CoRR, 2024)

DocSynthv2: A Practical Autoregressive Modeling for Document Generation. - Sanket Biswas; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Puneet Mathur; Curtis Wigington; Tong Sun 005; Josep Lladós 001 (CoRR, 2024)

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Kaizhi Zheng; Nanxuan Zhao; Jiuxiang Gu; Zichao Wang 001; Xin Eric Wang; Tong Sun 005 (CoRR, 2024)

ARTIST: Improving the Generation of Text-rich Images by Disentanglement. - Jianyi Zhang; Yufan Zhou 001; Jiuxiang Gu; Curtis Wigington; Tong Yu 001; Yiran Chen 001; Tong Sun 005; Ruiyi Zhang 002 (CoRR, 2024)

Toward Infinite-Long Prefix in Transformer. - Jiuxiang Gu; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Chiwun Yang (CoRR, 2024)

Differential Privacy of Cross-Attention with Provable Guarantee. - Jiuxiang Gu; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Yufa Zhou 001 (CoRR, 2024)

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. - Ruiyi Zhang 002; Yufan Zhou 001; Jian Chen 043; Jiuxiang Gu; Changyou Chen; Tong Sun 005 (CoRR, 2024)

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. - Junda Wu; Xintong Li 001; Tong Yu 001; Yu Wang 170; Xiang Chen; Jiuxiang Gu; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

Fast John Ellipsoid Computation with Differential Privacy Optimization. - Jiuxiang Gu; Xiaoyu Li 001; Yingyu Liang; Zhenmei Shi; Zhao Song 002; Junwei Yu (CoRR, 2024)

MMR: Evaluating Reading Ability of Large Multimodal Models. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Ryan A. Rossi; Jiuxiang Gu; Changyou Chen (CoRR, 2024)

A Multi-LLM Debiasing Framework. - Deonna M. Owens; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Franck Dernoncourt; Xiang Chen; Ruiyi Zhang 002; Jiuxiang Gu; Hanieh Deilamsalehy; Nedim Lipka (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (CoRR, 2024)

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Jindong Wang 001; Zhe Lin; Bhiksha Raj (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Nanxuan Zhao; Jing Shi 005; Tong Sun 005 (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 002; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (CoRR, 2024)

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Yanyu Li; Yifan Gong 004; Kai Zhang 045; Hao Tan 002; Jason Kuen; Henghui Ding; Zhihao Shu; Wei Niu 002; et al. (AAAI, 2025)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 005; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (AAAI, 2025)

METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling. - Bingxuan Li; Yiwei Wang 001; Jiuxiang Gu; Kai-Wei Chang; Nanyun Peng 001 (ACL (1), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data. - Hanwen Jiang; Zexiang Xu; Desai Xie; Ziwen Chen; Haian Jin; Fujun Luan; Zhixin Shu; Kai Zhang 045; Sai Bi; Xin Sun 014; Jiuxiang Gu; Qixing Huang; et al. (CVPR, 2025)

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. - Xuan Shen; Weize Ma; Jing Liu 001; Changdi Yang; Rui Ding; Quanyi Wang; Henghui Ding; Wei Niu 002; Yanzhi Wang; Pu Zhao 001; Jun Lin; Jiuxiang Gu (CVPR, 2025)

ImageFolder: Autoregressive Image Generation with Folded Tokens. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Bhiksha Raj; Zhe Lin (ICLR, 2025)

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. - Jian Chen 043; Ruiyi Zhang 002; Yufan Zhou 001; Tong Yu 001; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong Sun 005 (ICLR, 2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan Aponte; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt; Nedim Lipka; Deonna M. Owens; et al. (NAACL (Short Papers), 2025)

Differential Privacy Mechanisms in Neural Tangent Kernel Regression. - Jiuxiang Gu; Yingyu Liang; Zhizhou Sha; Zhenmei Shi; Zhao Song 002 (WACV, 2025)

ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. - Jianyi Zhang; Yufan Zhou 001; Jiuxiang Gu; Curtis Wigington; Tong Yu 001; Yiran Chen 001; Tong Sun 005; Ruiyi Zhang 002 (WACV, 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Efficient Reasoning with Hidden Thinking. - Xuan Shen; Yizhou Wang; Xiangxi Shi; Yanzhi Wang; Pu Zhao 001; Jiuxiang Gu (CoRR, 2025)

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis. - Kai Qiu; Xiang Li 106; Jason Kuen; Hao Chen 102; Xiaohao Xu; Jiuxiang Gu; Yinyi Luo; Bhiksha Raj; Zhe Lin; Marios Savvides (CoRR, 2025)

Towards Visual Text Grounding of Multimodal Large Language Model. - Ming Li; Ruiyi Zhang 002; Jian Chen 043; Jiuxiang Gu; Yufan Zhou 001; Franck Dernoncourt; Wanrong Zhu; Tianyi Zhou 001; Tong Sun 005 (CoRR, 2025)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance. - Xuan Shen; Chenxia Han; Yufa Zhou 001; Yanyue Xie; Yifan Gong 004; Quanyi Wang; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; Jiuxiang Gu (CoRR, 2025)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. - Xuan Shen; Weize Ma; Yufa Zhou 001; Enhao Tang; Yanyue Xie; Zhengang Li; Yifan Gong 004; Quanyi Wang; Henghui Ding; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; et al. (CoRR, 2025)

R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration. - Zefan Cai; Wen Xiao; Hanshi Sun; Cheng Luo; Yikai Zhang; Ke Wan; Yucheng Li; Yeyang Zhou; Li-Wen Chang; Jiuxiang Gu; Zhen Dong; Anima Anandkumar; et al. (CoRR, 2025)

Refer to Anything with Vision-Language Prompts. - Shengcao Cao; Zijun Wei; Jason Kuen; Kangning Liu; Lingzhi Zhang; Jiuxiang Gu; Hyunjoon Jung; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2025)

MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos. - Yuan Zang; Hao Tan 002; Seunghyun Yoon 002; Franck Dernoncourt; Jiuxiang Gu; Kushal Kafle; Chen Sun 002; Trung Bui (CoRR, 2025)

MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Liang Chen 024; Jiuxiang Gu; Wen Xiao; Junjie Hu (CoRR, 2025)

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. - Shijie Zhou; Ruiyi Zhang 002; Huaisheng Zhu; Branislav Kveton; Yufan Zhou 001; Jiuxiang Gu; Jian Chen 043; Changyou Chen (CoRR, 2025)