Jiuxiang Gu (original) (raw)

My name is Jiuxiang Gu (顾久祥). I am a Senior Research Scientist at Adobe Research in Seattle. I received my Ph.D. from Nanyang Technological University, Singapore (2016.1–2019.5), under the supervision of Prof. Jianfei Cai, Dr. Gang Wang, and Prof. Tsuhan Chen. I currently serve as an Area Chair for ICLR 2025 and WACV 2024/2025, a Senior Program Committee Member for IJCAI 2021–2024, and a Program Committee Member for AAAI 2021–2023, NAACL 2021, and others. My research journey began in hardware design. From 2010 to 2015, I worked as an ASIC design engineer. In 2015, I made the transition to Artificial Intelligence. My current research interests include:

• Multimodal Foundation Models (LLM, MLLM, Diffusion LLM/MLLM, Text-to-Image/Video/3D Generation, Document Intelligence)
• Efficient Architecture & Scaling (Pruning, Quantization, KV Cache Optimization, Edge Deployment)
• Reasoning & Alignment (Chain-of-Thought, Hidden Thinking, Self-supervised Learning, Post-training)
• Impact & Production: Contribute to Adobe Firefly and Acrobat AI Assistant

Open to collaborations and internships in the above areas.

📧 Feel free to reach out: jigu@adobe.com / gu.jiuxiang@gmail.com

Selected Publications

2026

1. CVPR 2026
   Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
   Shufan Li, Jiuxiang Gu, Kangning Liu, and
2. ICLR 2026
   LaViDa-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
   Shufan Li, Jiuxiang Gu, Kangning Liu, and4 more authors

2025

1. AAAI 2025
   Numerical pruning for efficient autoregressive models
   Xuan Shen, Zhao Song, Yufa Zhou, and12 more authors

2024

1. ICLR 2024 Oral
   Lrm: Large reconstruction model for single image to 3d
   Yicong Hong, Kai Zhang, Jiuxiang Gu, and7 more authors
2. ICLR 2024
   ADoPD: A large-scale document page decomposition dataset
   Jiuxiang Gu, Xiangxi Shi, Jason Kuen, and5 more authors

2021

1. NeurIPS 2021
   Unidoc: Unified pretraining framework for document understanding
   Jiuxiang Gu, Jason Kuen, Vlad I Morariu, and5 more authors

2018

1. AAAI 2018 Oral
   Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
2. CVPR 2018 Spotlight
   Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
3. Pattern Recognition, 2018
   Recent advances in convolutional neural networks
   Jiuxiang Gu, Zhenhua Wang, Jason Kuen, and8 more authors