Haokun Gui

According to our database, Haokun Gui authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia

CoRR, April, 2026

TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning.

Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis.

Meng Chu, Senqiao Yang, Haoxuan Che, Suiyun Zhang, Xichen Zhang, Shaozuo Yu, Haokun Gui, Zhefan Rao, Dandan Tu, Rui Liu, Jiaya Jia

CoRR, December, 2025

MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech.

Chengyao Wang, Zhisheng Zhong, Bohao Peng, Senqiao Yang, Yuqi Liu, Haokun Gui, Bin Xia, Jingyao Li, Bei Yu, Jiaya Jia

CoRR, September, 2025

TraveLLaMA: Facilitating Multi-modal Large Language Models to Understand Urban Scenes and Provide Travel Assistance.

Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia

CoRR, April, 2025

Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior.

Yulin Li, Haokun Gui, Ziyang Fan, Junjie Wang, Bin Kang, Bin Chen, Zhuotao Tian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment.

Haokun Gui, Xiucheng Li, Xinyang Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024