Search Results for author: Sheng Wu

Found 10 papers, 1 papers with code

Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning

no code implementations4 Jan 2016 Xiangming Meng, Sheng Wu, Linling Kuang, Defeng, Huang, Jianhua Lu

We consider the problem of recovering clustered sparse signals with no prior knowledge of the sparsity pattern.

Weakly Supervised Person Re-Identification

no code implementations CVPR 2019 Jingke Meng, Sheng Wu, Wei-Shi Zheng

In the conventional person re-id setting, it is assumed that the labeled images are the person images within the bounding box for each individual; this labeling across multiple nonoverlapping camera views from raw video surveillance is costly and time-consuming.

Multi-Label Learning Person Re-Identification

A Unified Bayesian Inference Framework for Generalized Linear Models

no code implementations29 Dec 2017 Xiangming Meng, Sheng Wu, Jiang Zhu

In this letter, we present a unified Bayesian inference framework for generalized linear models (GLM) which iteratively reduces the GLM problem to a sequence of standard linear model (SLM) problems.

Information Theory Information Theory

Secrecy Performance for Finite-Alphabet Inputs Over Fluctuating Two-Ray Channels in FDA Communications

no code implementations11 Jun 2020 Chongjun Ouyang, Sheng Wu, Chunxiao Jiang, Derrick Wing Kwan Ng, Hongwen Yang

To provide system design insights for practical communication systems equipped with the frequency diverse array (FDA), this paper investigates the secrecy performance of FDA systems exploiting finite-alphabet inputs over fluctuating two-ray (FTR) fading channels.

Hybrid Driven Learning for Channel Estimation in Intelligent Reflecting Surface Aided Millimeter Wave Communications

no code implementations30 May 2023 Shuntian Zheng, Sheng Wu, Chunxiao Jiang, Wei zhang, Xiaojun Jing

Intelligent reflecting surfaces (IRS) have been proposed in millimeter wave (mmWave) and terahertz (THz) systems to achieve both coverage and capacity enhancement, where the design of hybrid precoders, combiners, and the IRS typically relies on channel state information.

Denoising

Integrated Sensing-Communication-Computation for Edge Artificial Intelligence

no code implementations1 Jun 2023 Dingzhu Wen, Xiaoyang Li, Yong Zhou, Yuanming Shi, Sheng Wu, Chunxiao Jiang

Edge artificial intelligence (AI) has been a promising solution towards 6G to empower a series of advanced techniques such as digital twin, holographic projection, semantic communications, and auto-driving, for achieving intelligence of everything.

Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map

no code implementations27 May 2023 Yuguang Yang, Runtang Guo, Sheng Wu, Yimi Wang, Juan Zhang, Xuan Gong, Baochang Zhang

Although the Class Activation Map (CAM) is widely used to interpret deep model predictions by highlighting object location, it fails to provide insight into the salient features used by the model to make decisions.

Decision Making

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