activity
20132023
most citedTunable Layer Circular Photogalvanic Effect in Twisted Bilayers

104 citations · 418 across the 21 of their papers we have counts for

collaborators

21 papers

hep-ex2023★ 3 cited

Measurement of associated - production cross-section in collisions at TeV

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1080

The cross-section of associated - production in proton-proton collisions at a centre-of-mass energy of TeV is measured using a data sample corresponding t…

hep-ex2023★ 1 cited

A model-independent measurement of the CKM angle in partially reconstructed decays with

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1081

A measurement of -violating observables in and decays is made where the photon or neutral pion from the …

cs.LG2023

Policy Contrastive Imitation Learning

Jialei Huang, Zhaoheng Yin, Yingdong Hu +1

Adversarial imitation learning (AIL) is a popular method that has recently achieved much success. However, the performance of AIL is still unsatisfactory on the more challenging ta…

cs.CV2023★ 2 cited

For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal

Yingdong Hu, Renhao Wang, Li Erran Li +1

In recent years, increasing attention has been directed to leveraging pre-trained vision models for motor control. While existing works mainly emphasize the importance of this pre-…

astro-ph.SR2023★ 65 cited

The Solar Upper Transition Region Imager (SUTRI) onboard the SATech-01 satellite

Xianyong Bai, Hui Tian, Yuanyong Deng +56

The Solar Upper Transition Region Imager (SUTRI) onboard the Space Advanced Technology demonstration satellite (SATech-01), which was launched to a sun-synchronous orbit at a heigh…

cs.CV2022

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix

Wenbin Li, Meihao Kong, Xuesong Yang +4

In recent years, a variety of contrastive learning based unsupervised visual representation learning methods have been designed and achieved great success in many visual tasks. Gen…