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Yi Li

8 papers indexed

arxivstat.MEmath.STstat.COstat.ML2026-07-24

The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands

Yi Li, Ashkan Ertefaie, Mark van der Laan

For decades, the bootstrap has been a default tool for statistical inference because of its broad applicability and minimal analytic requirements. Although its validity is well understood for smooth parametric estimators, its theoretical properties for many modern semiparametric…

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openalexFrontiers in Nutrition2026-07-24

Dietary, lifestyle, and environmental factors associated with ulcerative colitis: a systematic review and meta-analysis of observational studies

Yue Wang, Tianru Xie, Ziwen Liao, Sen He, Yu Zhao, Yi Li, et al.

Background and aims Ulcerative colitis (UC) is increasing worldwide, and dietary, lifestyle, and environmental exposures may contribute to disease susceptibility. This systematic review and meta-analysis evaluated the associations between these exposures and the risk of incident…

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arxivcs.CRcs.AI2026-07-14

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models

Cheng Li, Jiexiong Liu, Yixuan Chen, Yi Li

On-device LLM inference faces a trilemma of response latency, limited hardware resources and user privacy. Full cloud inference delivers strong computing power but exposes user prompts and dialogue data, while standalone on-device inference is unfeasible for most consumer and emb…

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arxivcs.LG2026-07-14

Generating Developable 3D Molecules via Pocket-Conditioned Diffusion and Property-Aware Optimization

Ruoxi Gao, Jiangweizhi Peng, Ziqi Chen, Frazier N. Baker, David C. Kombo, John L. Kane, et al.

Drug discovery and development is time-consuming and resource-intensive, motivating computational approaches such as diffusion models for de novo drug design. Many such models follow the structure-based drug design (SBDD) paradigm, generating molecules to fit a target binding poc…

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arxivcs.ROcs.AI2026-07-10

More Structure, Not More Capacity: Object-Centric Representations for Visuomotor Imitation Learning

Yi Li, Alexandre Chapin, Liming Chen, Jan Peters, Alap Kshirsagar

Robotic manipulation policies rely on pre-trained vision models that give either a global scene embedding or a dense patch grid. Both mix task-relevant and task-irrelevant features. Object-centric slot representations are a structured alternative: they group features into a few p…

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arxivcs.SEcs.AI2026-07-04

SkillFab: An Agent-Native Skill Production Platform

Anjie Xu, Yifeng Cai, Yi Li, Zixing Wang, Zhiyu Zhang, Jingfan Chen, et al.

SkillFab is an agent-native platform for turning missing capabilities into reviewed, reusable Agent Skills. At runtime, agents first search for reusable skills; when no adequate skill exists, the unmet capability becomes a demand-first issue before any repository or implementatio…

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crossrefAgronomy2025-03-13Cited by 4

Sticky Trap-Embedded Machine Vision for Tea Pest Monitoring: A Cross-Domain Transfer Learning Framework Addressing Few-Shot Small Target Detection

Kunhong Li, Yi Li, Xuan Wen, Jingsha Shi, Linsi Yang, Yuyang Xiao, et al.

Pest infestations have always been a major factor affecting tea production. Real-time detection of tea pests using machine vision is a mainstream method in modern agricultural pest control. Currently, there is a notable absence of machine vision devices capable of real-time monit…

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crossrefBuildings2023-05-11Cited by 49

Computer-Vision and Machine-Learning-Based Seismic Damage Assessment of Reinforced Concrete Structures

Yang Xu, Yi Li, Xiaohang Zheng, Xiaodong Zheng, Qiangqiang Zhang

Seismic damage assessment of reinforced concrete (RC) structures is a vital issue for post-earthquake evaluation. Conventional onsite inspection depends greatly on subjective judgments and engineering experiences of human inspectors, and the efficiency is limited to large-scale u…

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