output
20182026
most citedTesting Electron-phonon Coupling for the Superconductivity in Kagome Metal

62 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2026Show all

5 papers · 1 filter

cs.CV2026

Knowledge-guided Disentanglement with Atomic Actions for Action Recognition

Tianci Wu, Siqi Cao, Guangming Zhu +6

Action recognition in complex scenes often involves multiple concurrent fine-grained actions, making it challenging to model internal action structures. Most existing methods rely…

cs.IR2026★ 1 cited

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users

Xiaodong Li, Jiawei Sheng, Jiangxia Cao +6

Cross-domain recommendation (CDR) has demonstrated to be an effective solution for alleviating the user cold-start issue. By leveraging rich user-item interactions available in a r…

physics.app-ph2026★ 3 cited

Thin-Film-Engineered Self-Assembly of 3D Coaxial Microfluidics with a Tunable Polyimide Membrane for Bioelectronic Power

Aleksandr I. Egunov, Hongmei Tang, Pablo E. Saenz +11

Thin-film self-assembly of three-dimensional (3D) microsystems presents a compelling route to integrate complex functionalities into ultra-compact volumes, yet strategies for incor…

cond-mat.str-el2026

Magnons in multiorbital Hubbard models, from Lieb to kagome

Teng-Fei Ying, Hugo U. R. Strand, Benjamin T. Zhou +1

We investigate the magnetic orders and excitations in a half-filled Hubbard model that continuously interpolates between the Lieb and kagome lattices. Using self-consistent Hartree…

cond-mat.mtrl-sci2026★ 2 cited

Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery

Bin Cao, Jie Xiong, Jiaxuan Ma +11

Efficient exploration of vast compositional and processing spaces remains a major challenge in accelerated materials discovery. Bayesian optimization (BO) provides a principled app…