activity
20082023
most citedExplainable Recommendation via Multi-Task Learning in Opinionated Text Data

211 citations · 1.3k across the 40 of their papers we have counts for

collaborators

40 papers

astro-ph.HE2023★ 109 cited

Precessing jet nozzle connecting to a spinning black hole in M87

Yuzhu Cui, Kazuhiro Hada, Tomohisa Kawashima +76

The nearby radio galaxy M87 offers a unique opportunity to explore the connections between the central supermassive black hole and relativistic jets. Previous studies of the inner…

cs.CV2023

Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM

Weijian Xie, Guanyi Chu, Quanhao Qian +7

Dense SLAM based on monocular cameras does indeed have immense application value in the field of AR/VR, especially when it is performed on a mobile device. In this paper, we propos…

cond-mat.supr-con2023

Possible Eliashberg-type superconductivity enhancement effects in a two-band superconductor MgB2 driven by narrow-band THz pulses

Sergei Sobolev, Amon Lanz, Tao Dong +12

We study THz-driven condensate dynamics in epitaxial thin films of MgB, a prototype two-band superconductor (SC) with weak interband coupling. The temperature and excitation…

math.ST2023

Optimal Hypothesis Testing Based on Information Theory

Dazhuan Xu, Nan Wang

There has a major problem in the current theory of hypothesis testing in which no unified indicator to evaluate the goodness of various test methods since the cost function or util…

cs.LG2023★ 1 cited

NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning

Yun Yi, Haokui Zhang, Rong Xiao +2

As more deep learning models are being applied in real-world applications, there is a growing need for modeling and learning the representations of neural networks themselves. An e…

cs.CL2023★ 5 cited

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models

Fobo Shi, Peijun Qing, Dong Yang +5

Prompt engineering is an essential technique for enhancing the abilities of large language models (LLMs) by providing explicit and specific instructions. It enables LLMs to excel i…