767 citations · 4.4k across the 70 of their papers we have counts for
71 papers
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi, Jie Wang, Fanghua Lu +5
Node representation learning on attributed graphs -- whose nodes are associated with rich attributes (e.g., texts and protein sequences) -- plays a crucial role in many important d…
Uncertainty-aware Unsupervised Multi-Object Tracking
Kai Liu, Sheng Jin, Zhihang Fu +3
Without manually annotated identities, unsupervised multi-object trackers are inferior to learning reliable feature embeddings. It causes the similarity-based inter-frame associati…
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
Deyi Ji, Feng Zhao, Hongtao Lu +2
With the increasing interest and rapid development of methods for Ultra-High Resolution (UHR) segmentation, a large-scale benchmark covering a wide range of scenes with full fine-g…
Self-Learning Symmetric Multi-view Probabilistic Clustering
Junjie Liu, Junlong Liu, Rongxin Jiang +3
Multi-view Clustering (MVC) has achieved significant progress, with many efforts dedicated to learn knowledge from multiple views. However, most existing methods are either not app…
Direct comparison of two spin squeezed optical clocks below the quantum projection noise limit
John M Robinson, Maya Miklos, Yee Ming Tso +5
Building scalable quantum systems that demonstrate genuine performance enhancement based on entanglement is a major scientific goal for fields including computing, networking, simu…
Evaluation of lattice light shift at low 10 uncertainty for a shallow lattice Sr optical clock
Kyungtae Kim, Alexander Aeppli, Tobias Bothwell +1
A Wannier-Stark optical lattice clock has demonstrated unprecedented measurement precision for optical atomic clocks. We present a systematic evaluation of the lattice light shift,…