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Yan Chen

Researcher at Northwestern University

Publications -  521
Citations -  24026

Yan Chen is an academic researcher from Northwestern University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 67, co-authored 415 publications receiving 21798 citations. Previous affiliations of Yan Chen include AT&T Labs & Huawei.

Papers
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Proceedings ArticleDOI

Delay-power tradeoff of max queue-weighted (MWQ) power control for wireless systems with limited renewable energy storage

TL;DR: The fundamental power-delay tradeoff in point-to-point wireless communication systems with renewable energy source is analyzed and it is shown that despite the randomness of the renewable energy arrival and energy buffer size, the average AC power is given by P = O(D exp(1/D) at small delay D regime.
Journal ArticleDOI

Two-dimensional variational mode decomposition for seismic record denoising

TL;DR: In this article , a 2D-VMD-based adaptive signal decomposition method is proposed for the denoising of seismic signal denoised data, which is based on a two-dimensional variational mode decomposition algorithm and permutation entropy (PE).
Journal ArticleDOI

Magma chamber-related transition from magmatic to solid-state fabrics within the Late Triassic granitic Dushan pluton (North China)

TL;DR: In this article, a case study of a transition from magma chamber-related magmatic to solid-state fabrics within the Late Triassic granitic Dushan pluton (North China) is provided.

Protecting Web Single Sign-on against Relying Party Impersonation Attacks through a Bi-directional Secure Channel with Authentication

TL;DR: This paper systematically examine existing SSO protocols and determines the root cause of the vulnerabilities: the design of the communication channel between the relying party and the identity provider, which, depending on the protocol and implementation, suffers from being a one-way communication protocol, or from a lack of authentication.
Patent

Decoding method and apparatus

TL;DR: In this article, the authors proposed a decoding method using N subcarriers, where one user signal is carried on at least two sub-carriers of the K user signals, and 2≤N < K, and a probability of each codeword in a codebook of the target user signal according to the initialization calculation results is determined.