activity
20132023
most citedLow-complexity optimization for Two-Dimensional Direction-of-arrival Estimation via Decoupled Atomic Norm Minimization

83 citations · 220 across the 26 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.SD2023

Controllable Lyrics-to-Melody Generation

Zhe Zhang, Yi Yu, Atsuhiro Takasu

Lyrics-to-melody generation is an interesting and challenging topic in AI music research field. Due to the difficulty of learning the correlations between lyrics and melody, previo…

cs.IR2023

Event-Centric Query Expansion in Web Search

Yanan Zhang, Weijie Cui, Yangfan Zhang +5

In search engines, query expansion (QE) is a crucial technique to improve search experience. Previous studies often rely on long-term search log mining, which leads to slow updates…

physics.plasm-ph2023

Energy loss enhancement of very intense proton beams in dense matter due to the beam-density effect

Benzheng Chen, Jieru Ren, Zhigang Deng +27

Thoroughly understanding the transport and energy loss of intense ion beams in dense matter is essential for high-energy-density physics and inertial confinement fusion. Here, we r…

cs.CV2023

SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence

Jiacheng Deng, Chuxin Wang, Jiahao Lu +4

Unsupervised point cloud shape correspondence aims to obtain dense point-to-point correspondences between point clouds without manually annotated pairs. However, humans and some an…

cs.SE2023

CM-CASL: Comparison-based Performance Modeling of Software Systems via Collaborative Active and Semisupervised Learning

Rong Cao, Liang Bao, Chase Wu +3

Configuration tuning for large software systems is generally challenging due to the complex configuration space and expensive performance evaluation. Most existing approaches follo…

eess.SP2023

Efficient Gridless DoA Estimation Method of Non-uniform Linear Arrays with Applications in Automotive Radars

Silin Gao, Zhe Zhang, Muhan Wang +5

This paper focuses on the gridless direction-of-arrival (DoA) estimation for data acquired by non-uniform linear arrays (NLAs) in automotive applications. Atomic norm minimization…

cs.LG2023★ 1 cited

Coincident Learning for Unsupervised Anomaly Detection

Ryan Humble, Zhe Zhang, Finn O'Shea +2

Anomaly detection is an important task for complex systems (e.g., industrial facilities, manufacturing, large-scale science experiments), where failures in a sub-system can lead to…