We propose an end-to-end learning-based approach for superchannel systems impaired by non-ideal hardware component. Our system achieves up to 60% SER reduction and up to 50% guard band reduction compared
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. (arXiv:2103.15858v1 [eess.IV])
Batch Normalization (BN) is one of the key components for accelerating network training, and has been widely adopted in the medical image analysis field. However, BN only calculates the global
Event-Triggered Safety-Critical Control for Systems with Unknown Dynamics. (arXiv:2103.15874v1 [eess.SY])
This paper addresses the problem of safety-critical control for systems with unknown dynamics. It has been shown that stabilizing affine control systems to desired (sets of) states while optimizing quadratic
Kepler’s Goat Herd: An Exact Solution for Elliptical Orbit Evolution. (arXiv:2103.15829v1 [physics.comp-ph])
A fundamental relation in celestial mechanics is Kepler’s equation, linking an orbit’s mean anomaly to its eccentric anomaly and eccentricity. Being transcendental, the equation cannot be directly solved for eccentric
Magnetized ion-acoustic shock waves in degenerate quantum plasma. (arXiv:2103.15863v1 [physics.plasm-ph])
A theoretical investigation has been carried out to examine the ion-acoustic shock waves (IASHWs) in a magnetized degenerate quantum plasma system containing inertialess ultra-relativistically degenerate electrons, and inertial non-relativistic positively
Roman Jackiw and Chern-Simons theories. (arXiv:2103.15868v1 [physics.hist-ph])
I recount my personal experience interacting with Roman Jackiw in the 1980s, when we both worked on Chern-Simons theories in three dimensions.
U.S. Power Resilience for 2002–2017. (arXiv:2103.15859v1 [stat.AP])
Prolonged power outages debilitate the economy and threaten public health. Existing research is generally limited in its scope to a single event, an outage cause, or a region. Here, we
Gaussian Process for Tomography. (arXiv:2103.15864v1 [stat.AP])
Tomographic reconstruction, despite its revolutionary impact on a wide range of applications, suffers from its ill-posed nature in that there is no unique solution because of limited and noisy measurements.
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization. (arXiv:2103.15888v1 [math.OC])
This paper studies the complexity for finding approximate stationary points of nonconvex-strongly-concave (NC-SC) smooth minimax problems, in both general and averaged smooth finite-sum settings. We establish nontrivial lower complexity bounds
High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation. (arXiv:2103.15876v1 [cs.CV])
3D video avatars can empower virtual communications by providing compression, privacy, entertainment, and a sense of presence in AR/VR. Best 3D photo-realistic AR/VR avatars driven by video, that can minimize
