Yue Zhao

Decoding molecular weight cut-off (MWCO)-pressure-temperature synergy on flux via machine learning

Shengbo Yu, Xuena Dong, Yu Liu, Lu Liu, Yue Zhao, Yun Chen, et al.

Ordered Action Tokens for Visuomotor Policy Learning

Chaoqi Liu, Yue Zhao, Haonan Chen, Xiaoshen Han, Jiawei Gao, Ehsan Adeli, et al.

Action tokenization maps continuous robot action chunks to discrete tokens and has become an important interface for modern visuomotor policies. Existing approaches either rely on analytical discretization methods that produce prohibitively long token sequences or learned latent…Read more

MV-Bench: Benchmarking Multimodal Large Language Models for Coordinated Multi-View Interface Construction

Yue Zhao, Hongxu Liu, Feiyu Wang, Xiaoyu Yang, Tong Ge, Zhen Yang, et al.

Multimodal large language models (MLLMs) are increasingly expected to automate visualization development by generating code directly from visual designs. However, existing evaluations mainly focus on single-chart generation and overlook coordinated multi-view interface constructi…Read more

Application of machine learning algorithms to predict heat-sensitive angina (HSA) attacks: a multicentric observational cohort study

Jincheng Wang, Conghui Zhou, Yue Zhao, Jingqing Hu

Background The association between air temperature and angina has been confirmed by several studies, which show that some patients with cardiovascular disease are “heat sensitive” and experience angina more frequently in high-temperature environments. Although several predictive…Read more

MemoHarness: Agent Harnesses That Learn from Experience

Yue Huang, Wenjie Wang, Han Bao, Yuchen Ma, Xiaonan Luo, Yi Nian, et al.

An agent harness is the external control layer that turns a base LLM into an executable agent by managing context, tools, orchestration, memory, decoding, and output handling. While harness design strongly affects agent behavior, most automatic improvement methods optimize narrow…Read more

Ensemble Controlled-Flow Filtering for Implicit Data Assimilation

Zhuoyuan Li, Yue Zhao, Ming Li

Data assimilation estimates the state of a dynamical system from model forecasts and incoming observations. Many observation mechanisms, however, are many-to-one, implicit, non-smooth, or accessible only through simulation, and need not provide the residual structures or likeliho…Read more

SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents

Tianming Sha, Yue Zhao, Lichao Sun, Yushun Dong

Autonomous AI agents can execute complex tasks with limited human review, yet they often lack the grounded operational knowledge to make their outputs not just executable but correct, secure, and maintainable. We introduce SkillCenter, to our knowledge the largest open skill libr…Read more

SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution

Aojie Yuan, Yi Nian, Haiyue Zhang, Zijian Su, Yue Zhao

Hallucination is the reliability bottleneck for LLM-based agents, and fact attribution verifiers are the last line of defense -- yet today's verifiers emit only opaque binary labels, leaving agents unable to self-correct and operators unable to audit. We present SEVA, a structure…Read more

Agent Safety Is Action Alignment

Shawn Li, Yue Zhao

Large language models increasingly act as agents: they call tools, move money, delete records, and send messages on a user's behalf. To keep them safe, practitioners imported the chatbot-era recipe (train the model to refuse unsafe inputs) into the agentic setting, and treat the…Read more

Adaptive Split Federated Learning With Behavioral Digital Twins and Multi-Head Temporal Networks for Internet of Vehicles Security

Farhan Ullah, Khalid Mahmood, Umar Raza, Jawad Ahmad, Jenhui Chen, Rubal Jeet, et al.