b'Wei Jiang'

research

∙ 09/20/2023

Neural Image Compression Using Masked Sparse Visual Representation

We study neural image compression based on the Sparse Visual Representat...

0 Wei Jiang, et al. ∙

research

∙ 09/17/2023

MFRL-BI: Design of a Model-free Reinforcement Learning Process Control Scheme by Using Bayesian Inference

Design of process control scheme is critical for quality assurance to re...

0 Yanrong Li, et al. ∙

research

∙ 09/15/2023

Cure the headache of Transformers via Collinear Constrained Attention

As the rapid progression of practical applications based on Large Langua...

0 Shiyi Zhu, et al. ∙

research

∙ 09/15/2023

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty

Aggregating distributed energy resources in power systems significantly ...

0 Wei Jiang, et al. ∙

research

∙ 09/12/2023

Opportunistic Reflection in Reconfigurable Intelligent Surface-Assisted Wireless Networks

This paper focuses on multiple-access protocol design in a wireless netw...

0 Wei Jiang, et al. ∙

research

∙ 09/12/2023

A Simple Multiple-Access Design for Reconfigurable Intelligent Surface-Aided Systems

This paper focuses on the design of transmission methods and reflection ...

0 Wei Jiang, et al. ∙

research

∙ 09/07/2023

Region Generation and Assessment Network for Occluded Person Re-Identification

Person Re-identification (ReID) plays a more and more crucial role in re...

0 Shuting He, et al. ∙

research

∙ 08/21/2023

Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification

Unsupervised domain adaptive person re-identification (Re-ID) methods al...

0 Jianyang Gu, et al. ∙

research

∙ 08/07/2023

Exploring the Physical World Adversarial Robustness of Vehicle Detection

Adversarial attacks can compromise the robustness of real-world detectio...

0 Wei Jiang, et al. ∙

research

∙ 07/29/2023

Continual Learning in Predictive Autoscaling

Predictive Autoscaling is used to forecast the workloads of servers and ...

0 Hongyan Hao, et al. ∙

research

∙ 07/28/2023

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression

Recently, multi-reference entropy model has been proposed, which capture...

0 Wei Jiang, et al. ∙

research

∙ 06/19/2023

Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation

We study universal zero-shot segmentation in this work to achieve panopt...

0 Shuting He, et al. ∙

research

∙ 06/13/2023

Learning Unnormalized Statistical Models via Compositional Optimization

Learning unnormalized statistical models (e.g., energy-based models) is ...

0 Wei Jiang, et al. ∙

research

∙ 06/12/2023

Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles

Interaction between the background vehicles (BVs) and automated vehicles...

0 Yining Ma, et al. ∙

research

∙ 06/11/2023

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing

Developing monolingual large Pre-trained Language Models (PLMs) is shown...

0 Asaad AlGhamdi, et al. ∙

research

∙ 05/26/2023

Summarizing Stream Data for Memory-Restricted Online Continual Learning

Replay-based methods have proved their effectiveness on online continual...

0 Jianyang Gu, et al. ∙

research

∙ 05/22/2023

Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation

Zero-shot instance segmentation aims to detect and precisely segment obj...

0 Shuting He, et al. ∙

research

∙ 05/19/2023

Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees

Projection-free online learning has drawn increasing interest due to its...

0 Yibo Wang, et al. ∙

research

∙ 05/19/2023

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

Machine learning (ML) has revolutionized transportation systems, enablin...

0 Rui Song, et al. ∙

research

∙ 05/12/2023

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform

In recent years, there has been rapid development in learned image compr...

0 Peirong Ning, et al. ∙

research

∙ 05/11/2023

Full-Spectrum Wireless Communications for 6G and Beyond: From Microwave, Millimeter-Wave, Terahertz to Lightwave

As of today, 5G is rolling out across the world, but academia and indust...

0 Wei Jiang, et al. ∙

research

∙ 04/19/2023

SLIC: Self-Conditioned Adaptive Transform with Large-Scale Receptive Fields for Learned Image Compression

Learned image compression has achieved remarkable performance. Transform...

0 Wei Jiang, et al. ∙

research

∙ 04/07/2023

Cell-Edge Performance Booster in 6G: Cell-Free Massive MIMO vs. Reconfigurable Intelligent Surface

User experience in mobile communications is vulnerable to worse quality ...

0 Wei Jiang, et al. ∙

research

∙ 03/16/2023

User Selection for Simple Passive Beamforming in Multi-RIS-Aided Multi-User Communications

This paper focuses on multi-user downlink signal transmission in a wirel...

0 Wei Jiang, et al. ∙

research

∙ 03/16/2023

User Scheduling and Passive Beamforming for FDMA/OFDMA in Intelligent Reflection Surface

Most prior works on intelligent reflecting surface (IRS) merely consider...

0 Wei Jiang, et al. ∙

research

∙ 03/16/2023

Capacity Analysis and Rate Maximization Design in RIS-Aided Uplink Multi-User MIMO

Reconfigurable intelligent surface (RIS) has recently drawn intensive at...

0 Wei Jiang, et al. ∙

research

∙ 03/15/2023

Orthogonal and Non-Orthogonal Multiple Access for Intelligent Reflection Surface in 6G Systems

Intelligent reflecting surface (IRS) is envisioned to become a key techn...

0 Wei Jiang, et al. ∙

research

∙ 03/15/2023

Intelligent Reflecting Vehicle Surface: A Novel IRS Paradigm for Moving Vehicular Networks

Intelligent reflecting surface (IRS) has recently received much attentio...

0 Wei Jiang, et al. ∙

research

∙ 03/15/2023

Multi-User Reconfigurable Intelligent Surface-Aided Communications Under Discrete Phase Shifts

This paper focuses on studying orthogonal and non-orthogonal multiple ac...

0 Wei Jiang, et al. ∙

research

∙ 03/08/2023

DiM: Distilling Dataset into Generative Model

Dataset distillation reduces the network training cost by synthesizing s...

0 Kai Wang, et al. ∙

research

∙ 02/28/2023

DREAM: Efficient Dataset Distillation by Representative Matching

Dataset distillation aims to generate small datasets with little informa...

0 Yanqing Liu, et al. ∙

research

∙ 11/14/2022

Multi-Reference Entropy Model for Learned Image Compression

Recently, learned image compression has achieved remarkable performance....

0 Wei Jiang, et al. ∙

research

∙ 10/28/2022

Upwind-SAV approach for constructing bound-preserving and energy-stable schemes of the Cahn-Hilliard equation with degenerate mobility

This paper establishes an unconditionally bound-preserving and energy-st...

0 Qiong-Ao Huang, et al. ∙

research

∙ 10/11/2022

Deep Learning-Aided Delay-Tolerant Zero-Forcing Precoding in Cell-Free Massive MIMO

In the context of cell-free massive multi-input multi-output (CFmMIMO), ...

0 Wei Jiang, et al. ∙

research

∙ 09/21/2022

Performance Impact of Channel Aging and Phase Noise on Intelligent Reflecting Surface

This letter aims to clarify the impact of channel aging and phase noise ...

0 Wei Jiang, et al. ∙

research

∙ 08/18/2022

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution

KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic ...

0 Fangquan Lin, et al. ∙

research

∙ 08/02/2022

A convexity-preserving and perimeter-decreasing parametric finite element method for the area-preserving curve shortening flow

We propose and analyze a semi-discrete parametric finite element scheme ...

0 Wei Jiang, et al. ∙

research

∙ 07/18/2022

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization

Variance reduction techniques such as SPIDER/SARAH/STORM have been exten...

0 Wei Jiang, et al. ∙

research

∙ 07/12/2022

Dynamic Gradient Reactivation for Backward Compatible Person Re-identification

We study the backward compatible problem for person re-identification (R...

2 Xiao Pan, et al. ∙

research

∙ 07/08/2022

FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate

Recently, high-quality video conferencing with fewer transmission bits h...

0 Zhengang Li, et al. ∙

research

∙ 06/22/2022

Facke: a Survey on Generative Models for Face Swapping

In this work, we investigate into the performance of mainstream neural g...

0 Wei Jiang, et al. ∙

research

∙ 06/15/2022

Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction

The previous deep video compression approaches only use the single scale...

0 Zhihao Hu, et al. ∙

research

∙ 06/13/2022

Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration

In this paper, we address the problem of joint sensing, computation, and...

0 Peixi Liu, et al. ∙

research

∙ 05/02/2022

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

In this paper, we investigate an online prediction strategy named as Dis...

0 Lijun Zhang, et al. ∙

research

∙ 05/02/2022

Initial Access for Millimeter-Wave and Terahertz Communications with Hybrid Beamforming

In order to achieve terabits-per-second (Tbps) data rates in the sixth-g...

0 Wei Jiang, et al. ∙

research

∙ 05/02/2022

Initial Beamforming for Millimeter-Wave and Terahertz Communications in 6G Mobile Systems

To meet the demand of supreme data rates in terabits-per-second, the nex...

0 Wei Jiang, et al. ∙

research

∙ 04/30/2022

Opportunistic AP Selection in Cell-Free Massive MIMO-OFDM Systems

Exploiting the degree of freedom in the frequency domain and the near-fa...

0 Wei Jiang, et al. ∙

research

∙ 04/30/2022

Dual-Beam Intelligent Reflecting Surface for Millimeter and THz Communications

Intelligent reflecting surface (IRS) is a cost-efficient technique to im...

0 Wei Jiang, et al. ∙

research

∙ 04/11/2022

Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a challenging and...

0 Haojie Liu, et al. ∙

research

∙ 03/23/2022

NeuMan: Neural Human Radiance Field from a Single Video

Photorealistic rendering and reposing of humans is important for enablin...

2 Wei Jiang, et al. ∙

Wei Jiang

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