Search Results for author: Wei Yu

Found 28 papers, 8 papers with code

Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink

no code implementations12 May 2022 Zhongze Zhang, Tao Jiang, Wei Yu

Reconfigurable intelligent surface (RIS) is capable of intelligently manipulating the phases of the incident electromagnetic wave to improve the wireless propagation environment between the base-station (BS) and the users.


Active Sensing for Communications by Learning

1 code implementation8 Dec 2021 Foad Sohrabi, Tao Jiang, Wei Cui, Wei Yu

This paper proposes a deep learning approach to a class of active sensing problems in wireless communications in which an agent sequentially interacts with an environment over a predetermined number of time frames to gather information in order to perform a sensing or actuation task for maximizing some utility function.

Active Learning

SSDL: Self-Supervised Dictionary Learning

no code implementations3 Dec 2021 Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yanjiang Wang, BaoDi Liu

Inspired by the concept of self-supervised learning (e. g., setting the pretext task to generate a universal model for the downstream task), we propose a Self-Supervised Dictionary Learning (SSDL) framework to address this challenge.

Dictionary Learning Human Activity Recognition +1

Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access

no code implementations27 Apr 2021 Ziyue Wang, Ya-Feng Liu, Zhilin Chen, Wei Yu

Specifically, at each iteration, the proposed active set CD algorithm first selects a small subset of all devices, namely the active set, which contains a few devices that contribute the most to the deviation from the first-order optimality condition of the MLE problem thus potentially can provide the most improvement to the objective function, then applies the CD algorithm to perform the detection for the devices in the active set.

Action Detection Activity Detection

What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?

no code implementations10 Apr 2021 Clym Stock-Williams, Tinkle Chugh, Alma Rahat, Wei Yu

Performing multi-objective Bayesian optimisation by scalarising the objectives avoids the computation of expensive multi-dimensional integral-based acquisition functions, instead of allowing one-dimensional standard acquisition functions\textemdash such as Expected Improvement\textemdash to be applied.

Bayesian Optimisation

An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO

no code implementations6 Feb 2021 Ziyue Wang, Zhilin Chen, Ya-Feng Liu, Foad Sohrabi, Wei Yu

Specifically, at each iteration, the proposed algorithm focuses on only a small subset of all potential sequences, namely the active set, which contains a few most likely active sequences (i. e., transmitted sequences by all active devices), and performs the detection for the sequences in the active set.

Action Detection Activity Detection

Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer

no code implementations22 Dec 2020 Wei Cui, Wei Yu

This paper proposes a novel scalable reinforcement learning approach for simultaneous routing and spectrum access in wireless ad-hoc networks.


Modular Action Concept Grounding in Semantic Video Prediction

no code implementations CVPR 2022 Wei Yu, Wenxin Chen, Songhenh Yin, Steve Easterbrook, Animesh Garg

Recent works in video prediction have mainly focused on passive forecasting and low-level action-conditional prediction, which sidesteps the learning of interaction between agents and objects.

Action Recognition object-detection +4

Learning to Reflect and to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimation

1 code implementation30 Sep 2020 Tao Jiang, Hei Victor Cheng, Wei Yu

Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular network by intelligently reflecting the electromagnetic waves from the base-station (BS) toward the users.

Action Concept Grounding Network for Semantically-Consistent Video Generation

no code implementations28 Sep 2020 Wei Yu, Wenxin Chen, Animesh Garg

Recent works in self-supervised video prediction have mainly focused on passive forecasting and low-level action-conditional prediction, which sidesteps the problem of semantic learning.

Action Recognition object-detection +3

Grant-Free Access via Bilinear Inference for Cell-Free MIMO with Low-Coherent Pilots

no code implementations27 Sep 2020 Hiroki Iimori, Takumi Takahashi, Koji Ishibashi, Giuseppe Thadeu Freitas de Abreu, Wei Yu

We propose a novel joint activity, channel, and data estimation (JACDE) scheme for cell-free multiple-input multiple-output (MIMO) systems compliant with fifth-generation (5G) new radio (NR) orthogonal frequency-division multiplexing (OFDM) signaling.

Action Detection Activity Detection

Products-10K: A Large-scale Product Recognition Dataset

1 code implementation24 Aug 2020 Yalong Bai, Yuxiang Chen, Wei Yu, Linfang Wang, Wei zhang

With the rapid development of electronic commerce, the way of shopping has experienced a revolutionary evolution.

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO

2 code implementations13 Jul 2020 Foad Sohrabi, Kareem M. Attiah, Wei Yu

This paper shows that deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and downlink multiuser precoding for a frequency-division duplex massive multiple-input multiple-output system in which a base station (BS) serves multiple mobile users, but with rate-limited feedback from the users to the BS.

Information Theory Signal Processing Information Theory

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

no code implementations16 Jun 2020 Mohamed Sana, Antonio De Domenico, Wei Yu, Yves Lostanlen, Emilio Calvanese Strinati

Network densification and millimeter-wave technologies are key enablers to fulfill the capacity and data rate requirements of the fifth generation (5G) of mobile networks.

Multi-agent Reinforcement Learning reinforcement-learning

Efficient and Information-Preserving Future Frame Prediction and Beyond

1 code implementation ICLR 2020 Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler

Applying resolution-preserving blocks is a common practice to maximize information preservation in video prediction, yet their high memory consumption greatly limits their application scenarios.

object-detection Object Detection +2

Adaptive Semantic-Visual Tree for Hierarchical Embeddings

no code implementations8 Mar 2020 Shuo Yang, Wei Yu, Ying Zheng, Hongxun Yao, Tao Mei

To solve this new problem, we propose a hierarchical adaptive semantic-visual tree (ASVT) to depict the architecture of merchandise categories, which evaluates semantic similarities between different semantic levels and visual similarities within the same semantic class simultaneously.

Image Retrieval

Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA

no code implementations12 Jan 2020 Shuchao Jiang, Xiaojun Yuan, Xin Wang, Chongbin Xu, Wei Yu

To address the problem that the exact calculation of the messages exchanged within CSCE and between the two modules is complicated due to phase ambiguity issues, this paper proposes a rotationally invariant Gaussian mixture (RIGM) model, and develops an efficient JUICESD-RIGM algorithm.

CrevNet: Conditionally Reversible Video Prediction

no code implementations25 Oct 2019 Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler

Applying resolution-preserving blocks is a common practice to maximize information preservation in video prediction, yet their high memory consumption greatly limits their application scenarios.

Video Prediction

Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference

no code implementations29 Jul 2019 Kai Yang, Yuanming Shi, Wei Yu, Zhi Ding

Edge machine learning can deliver low-latency and private artificial intelligent (AI) services for mobile devices by leveraging computation and storage resources at the network edge.


Spatial Deep Learning for Wireless Scheduling

1 code implementation4 Aug 2018 Wei Cui, Kaiming Shen, Wei Yu

The optimal scheduling of interfering links in a dense wireless network with full frequency reuse is a challenging task.

Fairness Few-Shot Camera-Adaptive Color Constancy

Towards Optimal Power Control via Ensembling Deep Neural Networks

1 code implementation26 Jul 2018 Fei Liang, Cong Shen, Wei Yu, Feng Wu

A deep neural network (DNN) based power control method is proposed, which aims at solving the non-convex optimization problem of maximizing the sum rate of a multi-user interference channel.

Transaction Fraud Detection Using GRU-centered Sandwich-structured Model

no code implementations4 Nov 2017 Xurui Li, Wei Yu, Tianyu Luwang, Jianbin Zheng, Xuetao Qiu, Jintao Zhao, Lei Xia, Yujiao Li

Rapid growth of modern technologies such as internet and mobile computing are bringing dramatically increased e-commerce payments, as well as the explosion in transaction fraud.

Fraud Detection

Neural EPI-Volume Networks for Shape From Light Field

no code implementations ICCV 2017 Stefan Heber, Wei Yu, Thomas Pock

In the first part the network encodes relevant information from the given input into a set of high-level feature maps.

Visualizing and Comparing Convolutional Neural Networks

no code implementations20 Dec 2014 Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, Yong Rui

Convolutional Neural Networks (CNNs) have achieved comparable error rates to well-trained human on ILSVRC2014 image classification task.

Classification General Classification +1

Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data

no code implementations17 Dec 2013 Yalong Bai, Kuiyuan Yang, Wei Yu, Wei-Ying Ma, Tiejun Zhao

Image retrieval refers to finding relevant images from an image database for a query, which is considered difficult for the gap between low-level representation of images and high-level representation of queries.

Image Retrieval

The state-of-the-art in web-scale semantic information processing for cloud computing

no code implementations18 May 2013 Wei Yu, Junpeng Chen

Based on integrated infrastructure of resource sharing and computing in distributed environment, cloud computing involves the provision of dynamically scalable and provides virtualized resources as services over the Internet.

Natural Language Understanding

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