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Profil bibliographique

Chen Li

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

6Publications signalées
1Citations signalées
6Affiliations récentes

Les institutions déclarées

Les domaines associés

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot LearningMultimodal Machine Learning ApplicationsAdaptive Control of Nonlinear SystemsSubstance Abuse Treatment and Outcomes

Les publications récentes

Accès ouvert 2026 article OpenAlex

Search for τ− → μ−μ+μ− decays at the LHCb experiment with Run 2 data

Roel Aaij, Ahmed Sameh Wagih Abdelmotteleb, Carlos Abellan Beteta, Fernando Jesus Abudinén et autres

A bstract A search for the lepton-flavour-violating decay τ − → μ − μ + μ − is carried out using data collected by the LHCb experiment between 2016 and 2018 in proton-proton collisions at the LHC at a centre-of-mass energy of …

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0 citations Journal of High Energy Physics
Accès ouvert 2026 preprint OpenAlex

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation

Yeyao Ma, Chen Li, Xiaosong Zhang, Han Hu et autres

Post-training of flow matching models-aligning the output distribution with a high-quality target-is mathematically equivalent to imitation learning. While Supervised Fine-Tuning mimics expert demonstrations effectively, it cannot correct policy drift in unseen states. Preference optimization methods address this but require costly preference pairs …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation

Yeyao Ma, Chen Li, Xiaosong Zhang, Han Hu et autres

Post-training of flow matching models-aligning the output distribution with a high-quality target-is mathematically equivalent to imitation learning. While Supervised Fine-Tuning mimics expert demonstrations effectively, it cannot correct policy drift in unseen states. Preference optimization methods address this but require costly preference pairs …

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

Why Our Youth Vape?—A Trend Analysis Based on Cross-Sectional Annual Surveys of Middle and High School Students in the U.S.

Tianyuan Guan, Zhiru Yu, Preethi Bhosle, Chen Li et autres

Background and Objectives: E-cigarette use among middle and high school students steadily increased in the last decade, raising significant public health concerns. It is argued that e-cigarettes contain a lower level of toxicants than combustible tobacco cigarettes. This perception has contributed to …

0 citations Maryland Shared Open Access Repository (USMAI Consortium)

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