Jiuxiang Gu
62 papers · 2017–2026 · 14 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(38)
Deep Learning
(37)
Artificial Intelligence
(29)
Core AI
(28)
Computer Vision
(24)
Learning Types Β· Machine Learning
(21)
Learning Types Β· Deep Learning
(17)
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Natural Language Processing
(12)
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Keywords
large language model
(6)
vision-language model
(6)
multimodal learning
(5)
text-to-image generation
(5)
document understanding
(5)
contrastive learning
(5)
semantic segmentation
(4)
multimodal large language model
(4)
diffusion model
(4)
zero-shot learning
(3)
question answering
(3)
entity segmentation
(3)
image generation
(3)
self-supervised learning
(3)
model compression
(3)
cross-modal retrieval
(2)
transformer architecture
(2)
instruction tuning
(2)
3d reconstruction
(2)
representation learning
(2)
Papers
A Survey on LLM-based Conversational User Simulation
EACL 2026
DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
CVPR 2026
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026
Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
CVPR 2026
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use
AAAI 2026
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models
WACV 2025
CoMMIT: Coordinated Multimodal Instruction Tuning
EMNLP 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
WACV 2025
DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models
ICCV 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
ImageFolder: Autoregressive Image Generation with Folded Tokens
ICLR 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
CVPR 2025
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
ACL 2025
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
ICCV 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
CVPR 2025
Refer to Any Segmentation Mask Group With Vision-Language Prompts
ICCV 2025
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
NAACL 2025
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
ICLR 2025
ADOPD: A Large-Scale Document Page Decomposition Dataset
ICLR 2024
Advancing Vision-Language Models with Adapter Ensemble Strategies
EMNLP 2024
Category-Aware Active Domain Adaptation
ICML 2024
Customization Assistant for Text-to-Image Generation
CVPR 2024
DocScript: Document-level Script Event Prediction
COLING 2024
LRM: Large Reconstruction Model for Single Image to 3D
ICLR 2024
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
ACL 2024
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances
NAACL 2024
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
ICLR 2024
TextLap: Customizing Language Models for Text-to-Layout Planning
EMNLP 2024
TRINS: Towards Multimodal Language Models that Can Read
CVPR 2024
A Critical Analysis of Document Out-of-Distribution Detection
EMNLP 2023
AIMS: All-Inclusive Multi-Level Segmentation for Anything
NeurIPS 2023
DocEdit: Language-Guided Document Editing
AAAI 2023
High Quality Entity Segmentation
ICCV 2023
LayerDoc: Layer-Wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents
WACV 2023
Learning the Visualness of Text Using Large Vision-Language Models
EMNLP 2023
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
ECCV 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
NeurIPS 2022
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis
Interspeech 2022
DocTime: A Document-level Temporal Dependency Graph Parser
NAACL 2022
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval
CVPR 2022
Improving the Reliability for Confidence Estimation
ECCV 2022
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns
ACL 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
ECCV 2022
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
EMNLP 2022
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
CVPR 2022
TiGAN: Text-Based Interactive Image Generation and Manipulation
AAAI 2022
Towards Language-Free Training for Text-to-Image Generation
CVPR 2022
UNISON: Unpaired Cross-Lingual Image Captioning
AAAI 2022
Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection
CVPR 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection
CVPR 2021
SelfDoc: Self-Supervised Document Representation Learning
CVPR 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
NAACL 2021
UniDoc: Unified Pretraining Framework for Document Understanding
NeurIPS 2021
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
ECCV 2020
Self-Supervised Relationship Probing
NeurIPS 2020
Scene Graph Generation With External Knowledge and Image Reconstruction
CVPR 2019
Unpaired Image Captioning via Scene Graph Alignments
ICCV 2019
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models
CVPR 2018
Unpaired Image Captioning by Language Pivoting
ECCV 2018
An Empirical Study of Language CNN for Image Captioning
ICCV 2017