activity
20052025
most citedIRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

568 citations · 2.6k across the 71 of their papers we have counts for

collaborators

71 papers

astro-ph.HE2025★ 9 cited

Back to business: SLX 1746--331 after 13 years of silence

Jing-Qiang Peng, Shu Zhang, Peng-Ju Wang +17

The black hole candidate system SLX 1746--331 was back to business in 2023, after a long silence of roughly 13 years. An outburst was observed thoroughly by \textit{Insight}-HXMT a…

astro-ph.SR2023

The triggering process of an X-class solar flare on a small quadrupolar active region

Qiao Song, Jing-Song Wang, Xiaoxin Zhang +13

The occurrence of X-class solar flares and their potential impact on the space weather often receive great attention than other flares. But predicting when and where an X-class fla…

quant-ph2023★ 8 cited

Efficient Classical Shadow Tomography through Many-body Localization Dynamics

Tian-Gang Zhou, Pengfei Zhang

Classical shadow tomography serves as a potent tool for extracting numerous properties from quantum many-body systems with minimal measurements. Nevertheless, prevailing methods yi…

astro-ph.IM2023

Calibration of the Timing Performance of GECAM-C

Shuo Xiao, Ya-Qing Liu, Ke Gong +35

As a new member of the Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM) after GECAM-A and GECAM-B, GECAM-C (originally called HEBS), which was lau…

cs.CV2023★ 1 cited

Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning

Xugong Qin, Pengyuan Lyu, Chengquan Zhang +5

Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-up segmentation-based methods begin to be mainstream in real-time scene text detection…

quant-ph2023★ 15 cited

Randomness-enhanced expressivity of quantum neural networks

Yadong Wu, Juan Yao, Pengfei Zhang +1

As a hybrid of artificial intelligence and quantum computing, quantum neural networks (QNNs) have gained significant attention as a promising application on near-term, noisy interm…