activity
20142020
most citedOptimization Methods for Designing Sequences with Low Autocorrelation Sidelobes

390 citations · 1k across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 28 cited

SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II

Xiangjun Wang, Junxiao Song, Penghui Qi +9

AlphaStar, the AI that reaches GrandMaster level in StarCraft II, is a remarkable milestone demonstrating what deep reinforcement learning can achieve in complex Real-Time Strategy…

math.OC2015★ 222 cited

Sequence Set Design With Good Correlation Properties via Majorization-Minimization

Junxiao Song, Prabhu Babu, Daniel P. Palomar

Sets of sequences with good correlation properties are desired in many active sensing and communication systems, e.g., multiple-input-multiple-output (MIMO) radar systems and code-…

math.OC2015★ 318 cited

Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels

Junxiao Song, Prabhu Babu, Daniel P. Palomar

Sequences with low aperiodic autocorrelation sidelobes are well known to have extensive applications in active sensing and communication systems. In this paper, we consider the pro…

math.OC2014★ 390 cited

Optimization Methods for Designing Sequences with Low Autocorrelation Sidelobes

Junxiao Song, Prabhu Babu, Daniel P. Palomar

Unimodular sequences with low autocorrelations are desired in many applications, especially in the area of radar and code-division multiple access (CDMA). In this paper, we propose…

stat.ML2014★ 61 cited

Sparse Generalized Eigenvalue Problem via Smooth Optimization

Junxiao Song, Prabhu Babu, Daniel P. Palomar

In this paper, we consider an -norm penalized formulation of the generalized eigenvalue problem (GEP), aimed at extracting the leading sparse generalized eigenvector of a…