Search Results for author: Wei Yu

Found 42 papers, 10 papers with code

Dual-Context Aggregation for Universal Image Matting

1 code implementation28 Feb 2024 Qinglin Liu, Xiaoqian Lv, Wei Yu, Changyong Guo, Shengping Zhang

However, existing matting methods are designed for specific objects or guidance, neglecting the common requirement of aggregating global and local contexts in image matting.

Image Matting

Hybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems

no code implementations19 Feb 2024 Muhammad Sohaib, Sang-Woon Jeon, Wei Yu

We consider a multi-user multi-server mobile edge computing (MEC) system, in which users arrive on a network randomly over time and generate computation tasks, which will be computed either locally on their own computing devices or be offloaded to one of the MEC servers.

Edge-computing

Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure

no code implementations22 Jan 2024 Sadaf Salehkalaibar, Jun Chen, Ashish Khisti, Wei Yu

We derive the RDP function for vector Gaussian sources and propose a waterfilling type solution.

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

no code implementations13 Dec 2023 Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu

Under this embedding dimension, the Poisson regression is introduced by assuming the Levenshtein distance between sequences of fixed length following a Poisson distribution, which naturally aligns with the definition of Levenshtein distance.

regression

Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications

1 code implementation8 Nov 2023 Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P. Palomar, Wei Yu

By probing the theoretical underpinnings linking the BCA and MM algorithmic frameworks, we reveal the direct correlations between the equivalent transformation techniques, essential to the development of WMMSE and WSR-FP, and the surrogate functions pivotal to WSR-MM.

Active Sensing for Localization with Reconfigurable Intelligent Surface

no code implementations19 Oct 2023 Zhongze Zhang, Tao Jiang, Wei Yu

After all the measurements have been received, a final DNN can be used to map the LSTM cell state to the estimated user equipment (UE) position.

Reinforcement Learning with Non-Cumulative Objective

no code implementations11 Jul 2023 Wei Cui, Wei Yu

In this paper, we recognize the prevalence of non-cumulative objectives in various problems, and propose a modification to existing algorithms for optimizing such objectives.

reinforcement-learning

Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation

no code implementations2 Jul 2023 Meng Lan, Fu Rong, Zuchao Li, Wei Yu, Lefei Zhang

Moreover, a bidirectional vision-language interaction module is implemented before the multimodal Transformer to enhance the correlation between the visual and linguistic features, thus facilitating the language queries to decode more precise object information from visual features and ultimately improving the segmentation performance.

Object Referring Video Object Segmentation +4

Learning cross space mapping via DNN using large scale click-through logs

no code implementations26 Feb 2023 Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, Yong Rui

The image and query are mapped to a common vector space via these two parts respectively, and image-query similarity is naturally defined as an inner product of their mappings in the space.

Image Classification Image Retrieval +1

Uncertainty Injection: A Deep Learning Method for Robust Optimization

no code implementations23 Feb 2023 Wei Cui, Wei Yu

This paper proposes a paradigm of uncertainty injection for training deep learning model to solve robust optimization problems.

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.

Fairness Scheduling

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 +1

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 +1

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.

reinforcement-learning Reinforcement Learning (RL)

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 +1

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.

Computational Efficiency object-detection +3

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 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.

Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems

no code implementations8 Dec 2019 Jie Chen, Ying-Chang Liang, Hei Victor Cheng, Wei Yu

Specifically, we propose a novel channel estimation protocol for the above system to estimate the cascaded channels, which are the products of the channels from the base station (BS) to the RIS and from the RIS to the users.

Compressive Sensing

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.

Computational Efficiency 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.

Edge-computing

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 +1

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.

Stock assessment for the western winter-spring cohort of neon flying squid (Ommastrephes bartramii) using environmentally dependent surplus production models

no code implementations Scientia Marina 2016 Jintao Wang, Wei Yu, Xinjun Chen, Yong Chen

Because this squid has a short lifespan and is an ecological opportunist, the dynamics of its stock is greatly influenced by the environmental conditions, which need to be considered in its assessment and management.

Management

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 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.

Cloud Computing Natural Language Understanding

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