Qi Li

Research progress on the association of maternal high-fat diet with offspring neurodevelopment and susceptibility to Parkinson's disease

Qi Li, Zhi Jia, Musi Ji, Bayaer Nashun

Maternal high-fat diet (mHFD) is a growing global nutritional concern during pregnancy. It induces maternal systemic low-grade inflammation and oxidative stress, reshaping the intrauterine milieu via the placenta and causing selective developmental impairments in offspring midbra…Read more

An interpretable nomogram for positive surgical margin risk after laparoscopic and robot-assisted radical prostatectomy: a single-centre development and internal validation study

Qiang Wang, Xie SL, Xiaolu Jiang, Huiyu Gao, Qi Li, X iao-ming Wang, et al.

GroupVideo: Multi-Identity Customized Text-to-Video Generation

Xinyang Song, Libin Wang, Jianxin Sun, Qi Li, Dandan Zheng, JingDong Chen, et al.

Current identity customized video generation methodologies are predominantly limited to single-identity scenarios, as the lack of explicit identity separation mechanisms often leads to identity confusion in multi-identity settings. Existing multi-identity approaches, which direct…Read more

When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-State Risk Space

Weimeng Wang, Ziqiang Wang, Zihang Zhan, Chuanpu Fu, Qi Li, Ke Xu

Large language models (LLMs) increasingly serve as high-level planners for embodied agents, where linguistically benign instructions can become unsafe once grounded in the physical world. We study whether this physically grounded danger is the same safety problem as ordinary text…Read more

BadWAM: When World-Action Models Dream Right but Act Wrong

Qi Li, Xingyi Yang, Xinchao Wang

World-action models (WAMs) are emerging as a promising foundation for embodied control: rather than predicting actions alone, they learn representations that couple action generation with future world prediction. This coupling is often viewed as a source of robustness, interpreta…Read more

A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization

Zongliang Yue, Qi Li, Terry Heiman-Patterson, Frank Bearoff, Zhaohui Qin, Huanmei Wu

Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use, remains challenging. We developed a time-to-event, digital-twin-inspired framework that integrates…Read more

dOPSD: On-Policy Self-Distillation for Diffusion Language Models

Phuong Tuan Dat, Qi Li, Xinchao Wang

Diffusion large language models (dLLMs) generate text by iteratively denoising a masked sequence, offering a parallel alternative to autoregressive models, but eliciting strong reasoning through post-training remains difficult: supervised fine-tuning is off-policy and suffers fro…Read more

NeuroCogMap Reveals Cognitive Organization of Large Language Models

Zhongxiang Sun, Haolang Lu, Qiang Ma, Qi Li, Qipeng Wang, Liang Pang, et al.

Understanding how complex cognitive functions are organized within artificial systems is central to interpreting large language models (LLMs) and relating them to biological cognition. Yet although LLMs exhibit broad cognitive-like behaviours, it remains unclear whether their int…Read more