b'Shuguang Cui'

research

∙ 09/03/2023

Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study

As the next-generation paradigm for content creation, AI-Generated Conte...

0 Yinqiu Liu, et al. ∙

research

∙ 08/22/2023

Efficient View Synthesis with Neural Radiance Distribution Field

Recent work on Neural Radiance Fields (NeRF) has demonstrated significan...

0 Yushuang Wu, et al. ∙

research

∙ 08/19/2023

ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration

The high-accuracy and resource-intensive deep neural networks (DNNs) hav...

0 Duo Wu, et al. ∙

research

∙ 08/10/2023

Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Generative Diffusion Models (GDMs) have emerged as a transformative forc...

0 Hongyang Du, et al. ∙

research

∙ 08/08/2023

LATR: 3D Lane Detection from Monocular Images with Transformer

3D lane detection from monocular images is a fundamental yet challenging...

0 Yueru Luo, et al. ∙

research

∙ 07/20/2023

WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Limited by expensive pixel-level labels, polyp segmentation models are p...

0 Jun Wei, et al. ∙

research

∙ 07/14/2023

A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications

Extremely large-scale multiple-input-multiple-output (XL-MIMO), which of...

0 Zhe Wang, et al. ∙

research

∙ 07/07/2023

Over-the-Air Computation in OFDM Systems with Imperfect Channel State Information

This paper studies the over-the-air computation (AirComp) in an orthogon...

0 Yilong Chen, et al. ∙

research

∙ 07/07/2023

Universal Semi-supervised Model Adaptation via Collaborative Consistency Training

In this paper, we introduce a realistic and challenging domain adaptatio...

0 Zizheng Yan, et al. ∙

research

∙ 07/05/2023

Multi-IRS-Enabled Integrated Sensing and Communications

This paper studies a multi-intelligent-reflecting-surface-(IRS)-enabled ...

0 Yuan Fang, et al. ∙

research

∙ 06/27/2023

Energy-Efficient MIMO Integrated Sensing and Communications with On-off Non-transmission Power

This paper investigates the energy efficiency of a multiple-input multip...

0 Guanlin Wu, et al. ∙

research

∙ 06/16/2023

AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets

High-quality data is essential for conversational recommendation systems...

0 Yu Lu, et al. ∙

research

∙ 06/06/2023

YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection

Accurate polyp detection is essential for assisting clinical rectal canc...

0 Yuncheng Jiang, et al. ∙

research

∙ 06/05/2023

Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning

Federated edge learning (FEEL) enables privacy-preserving model training...

0 Yao Tang, et al. ∙

research

∙ 05/22/2023

Zero-shot Multi-level Feature Transmission Policy Powered by Semantic Knowledge Base

Remote zero-shot object recognition, i.e., offloading zero-shot object r...

0 Yaping Sun, et al. ∙

research

∙ 05/17/2023

Optimized Joint Beamforming for Wireless Powered Over-the-Air Computation

This correspondence studies the wireless powered over-the-air computatio...

0 Siyao Zhang, et al. ∙

research

∙ 04/23/2023

Hierarchical Weight Averaging for Deep Neural Networks

Despite the simplicity, stochastic gradient descent (SGD)-like algorithm...

0 Xiaozhe Gu, et al. ∙

research

∙ 04/20/2023

SCoDA: Domain Adaptive Shape Completion for Real Scans

3D shape completion from point clouds is a challenging task, especially ...

0 Yushuang Wu, et al. ∙

research

∙ 04/05/2023

Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding

With the recent advancements in edge artificial intelligence (AI), futur...

0 Zhonghao Lyu, et al. ∙

research

∙ 04/03/2023

Crossword: A Semantic Approach to Data Compression via Masking

The traditional methods for data compression are typically based on the ...

0 Mingxiao Li, et al. ∙

research

∙ 03/21/2023

An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

3D single object tracking in LiDAR point clouds (LiDAR SOT) plays a cruc...

0 Chaoda Zheng, et al. ∙

research

∙ 03/10/2023

MVImgNet: A Large-scale Dataset of Multi-view Images

Being data-driven is one of the most iconic properties of deep learning ...

0 Xianggang Yu, et al. ∙

research

∙ 03/06/2023

Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Existing neural radiance fields (NeRF) methods for large-scale scene mod...

0 Yuqi Zhang, et al. ∙

research

∙ 03/05/2023

HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling

In this work, we tackle the challenging problem of learning-based single...

0 Yujian Zheng, et al. ∙

research

∙ 01/12/2023

Adaptive Context Selection for Polyp Segmentation

Accurate polyp segmentation is of great significance for the diagnosis a...

19 Ruifei Zhang, et al. ∙

research

∙ 01/03/2023

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

When using LiDAR semantic segmentation models for safety-critical applic...

0 Xu Yan, et al. ∙

research

∙ 12/15/2022

Output-Dependent Gaussian Process State-Space Model

Gaussian process state-space model (GPSSM) is a fully probabilistic stat...

0 Zhidi Lin, et al. ∙

research

∙ 12/09/2022

MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction

The mainstream of the existing approaches for video prediction builds up...

0 Shuliang Ning, et al. ∙

research

∙ 12/07/2022

BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations

Accurate polyp segmentation is of great importance for colorectal cancer...

0 Jun Wei, et al. ∙

research

∙ 12/02/2022

Geometry-Aware Network for Domain Adaptive Semantic Segmentation

Measuring and alleviating the discrepancies between the synthetic (sourc...

0 Yinghong Liao, et al. ∙

research

∙ 11/10/2022

MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking

Dialogue state tracking (DST) aims to convert the dialogue history into ...

0 Haoning Zhang, et al. ∙

research

∙ 11/04/2022

Pushing AI to Wireless Network Edge: An Overview on Integrated Sensing, Communication, and Computation towards 6G

Pushing artificial intelligence (AI) from central cloud to network edge ...

0 Guangxu Zhu, et al. ∙

research

∙ 10/11/2022

CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking

Few-shot dialogue state tracking (DST) is a realistic problem that train...

0 Haoning Zhang, et al. ∙

research

∙ 10/09/2022

Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis

Although recent point cloud analysis achieves impressive progress, the p...

0 Xu Yan, et al. ∙

research

∙ 10/04/2022

APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation

In 3D medical image segmentation, small targets segmentation is crucial ...

28 Yuncheng Jiang, et al. ∙

research

∙ 09/21/2022

Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks

This paper considers improving wireless communication and computation ef...

0 Sihua Wang, et al. ∙

research

∙ 09/13/2022

M^2-3DLaneNet: Multi-Modal 3D Lane Detection

Estimating accurate lane lines in 3D space remains challenging due to th...

0 Yueru Luo, et al. ∙

research

∙ 08/17/2022

Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach

In this paper, a semantic communication framework is proposed for textua...

10 Yining Wang, et al. ∙

research

∙ 08/11/2022

An Overview on Over-the-Air Federated Edge Learning

Over-the-air federated edge learning (Air-FEEL) has emerged as a promisi...

0 Xiaowen Cao, et al. ∙

research

∙ 08/08/2022

Where Are You Looking?: A Large-Scale Dataset of Head and Gaze Behavior for 360-Degree Videos and a Pilot Study

360 videos in recent years have experienced booming development. Compare...

0 Yili Jin, et al. ∙

research

∙ 08/07/2022

Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning

In recent years, the exponential increase in the demand of wireless data...

0 Zezhong Zhang, et al. ∙

research

∙ 08/01/2022

Composable Text Control Operations in Latent Space with Ordinary Differential Equations

Real-world text applications often involve composing a wide range of tex...

3 Guangyi Liu, et al. ∙

research

∙ 07/18/2022

Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

We present a new framework to reconstruct holistic 3D indoor scenes incl...

0 Haolin Liu, et al. ∙

research

∙ 07/05/2022

Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases

Recent progress on 3D scene understanding has explored visual grounding ...

0 Zhihao Yuan, et al. ∙

research

∙ 07/03/2022

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI

This paper studies a new multi-device edge artificial-intelligent (AI) s...

0 Dingzhu Wen, 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

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

0 Yang Yang, et al. ∙

research

∙ 05/19/2022

Service Delay Minimization for Federated Learning over Mobile Devices

Federated learning (FL) over mobile devices has fostered numerous intrig...

0 Rui Chen, et al. ∙

research

∙ 05/19/2022

Coexistence between Task- and Data-Oriented Communications: A Whittle's Index Guided Multi-Agent Reinforcement Learning Approach

We investigate the coexistence of task-oriented and data-oriented commun...

0 Ran Li, et al. ∙

research

∙ 05/09/2022

Multi-level Consistency Learning for Semi-supervised Domain Adaptation

Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned...

0 Zizheng Yan, et al. ∙

Shuguang Cui

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