55 citations · 152 across the 7 of their papers we have counts for
7 papers
Timing properties of the X-ray accreting pulsar RX J0440.9+4431 studied with Insight-HXMT and NICER
P. P. Li, L. Tao, Y. L. Tuo +20
RX J0440.9+4431, a Be/X-ray binary, had its brightest outburst in 2022 since its discovery, with a peak X-ray flux of 2.25 Crab (as recorded by Swift/BAT, 15-50 keV). We analyze th…
Detection of a strong ~2.5 Hz modulation in the Newly Discovered Millisecond Pulsar MAXI J1816-195
P. P. Li, L. Tao, L. Zhang +16
MAXI J181-195 is a newly discovered accreting millisecond X-ray pulsar that went outburst in June 2022. Through timing analysis with NICER and NuSTAR observations, we find a transi…
Fast transitions of X-ray variability in the black hole transient GX 339--4: comparison with MAXI J1820+070 and MAXI J1348-630
Zi-Xu Yang, Liang Zhang, S. N. Zhang +30
Fast transitions between different types of power density spectra (PDS) happening over timescales of several tens of seconds are rare phenomena in black hole X-ray binaries. In thi…
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li Yuan, Francis EH Tay, Ping Li +2
In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a new cycle-consistent adver…
Relational Multi-Manifold Co-Clustering
Ping Li, Jiajun Bu, Chun Chen +2
Co-clustering targets on grouping the samples (e.g., documents, users) and the features (e.g., words, ratings) simultaneously. It employs the dual relation and the bilateral inform…
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li, Jun Yu, Meng Wang +3
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…
Multi-label ensemble based on variable pairwise constraint projection
Ping Li, Hong Li, Min Wu
Multi-label classification has attracted an increasing amount of attention in recent years. To this end, many algorithms have been developed to classify multi-label data in an effe…