Hi, I am Dylan Xinming Hou, an M.S. student in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence, working with Gus Xia at Music X Lab. Previously, I received my B.E. in Artificial Intelligence from the Gaoling School of Artificial Intelligence, Renmin University of China, where I worked with Wayne Xin Zhao on NLP-related research.
My previous research has explored several areas of machine learning, including LLMs, digital agents, multimodality, interpretability, AI safety, mind-inspired (world) models, and human-AI interaction. These projects shaped my technical background and gradually led me to questions that are more interdisciplinary and human-facing.
My current work at Music X Lab, especially on human-AI affective interaction and mind-inspired models, has become a bridge between these technical explorations and more human-centered questions. This has led me to a growing interest in human-centered AI and human-AI interaction: how people perceive, trust, use, and adapt to rapidly evolving AI systems, and how AI can be designed in ways that better reflect human needs, values, and social contexts.
My current research direction focuses on human-AI interaction, human-centered evaluation & alignment, and AI trustworthiness and safety, with the broader goal of advancing AI for social good.
Specifically, I am interested in:
Dylan Xinming Hou, Juntian Zhang, Xu Gu, Yichen Wu, Nils Lukas, Gus Xia, Xiuying Chen, Yuhan Liu
A survey of AI-generated video detection from both visual and language perspectives, with a curated taxonomy and resource list.
Dylan Xinming Hou, Xin Shu, Zhuojiang Cai, Yuting Wu, Yueqing Hu, Enkelejda Kasneci, Haiyang Geng, Gus Xia
This work studies clinically grounded affective interaction in a music-based therapeutic system.
Jizhi Zhang, Dylan Xinming Hou, Zhaoyi Li, Muhammad Asif Ali, Gus Xia, Lijie Hu
A benchmark for studying rule-level knowledge editing behavior in large language models.
Zhuoqi He, Zhaoyi Li, Dylan Xinming Hou, Daniil Ognev, Gus Xia, Lijie Hu
An analysis of whether edited knowledge systematically generalizes in multi-model large language models.
Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Wayne Xin Zhao
This work studies autonomous agent collaboration through a global-local hierarchy that combines centralized
coordination with local specialization.
Music X Lab, advised by Gus Xia
Working on machine learning, human-centered AI, and multimodal interaction.
RUC AI BOX, advised by Wayne Xin Zhao
Worked on machine learning, natural language processing, factuality control, prompt pipelines for reasoning tasks, and interpretability.
Tencent AI Lab, advised by Wenxiang Jiao and Xing Wang
Explored human-inspired organization and collaboration mechanisms for multi-agent systems and LLM-based agents.
Mohamed bin Zayed University of Artificial Intelligence, advised by Gus Xia at Music X Lab
Current graduate study focused on machine learning, human-centered AI, affective interaction, and mind-inspired (world) models.
Gaoling School of Artificial Intelligence, Renmin University of China
B.E. in Artificial Intelligence with honors.
Shandong Experimental High School
High school education in Jinan, Shandong Province, China.
