b'Xu Chen'

research

∙ 09/12/2023

Chained-DP: Can We Recycle Privacy Budget?

Privacy-preserving vector mean estimation is a crucial primitive in fede...

0 Jingyi Li, et al. ∙

research

∙ 09/06/2023

Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks

Deep learning classifiers are crucial in the age of artificial intellige...

0 Jingyi Li, et al. ∙

research

∙ 08/31/2023

FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout

Federated Learning (FL) requires frequent exchange of model parameters, ...

0 Zhiying Feng, et al. ∙

research

∙ 08/31/2023

BeeFlow: Behavior Tree-based Serverless Workflow Modeling and Scheduling for Resource-Constrained Edge Clusters

Serverless computing has gained popularity in edge computing due to its ...

0 Ke Luo, et al. ∙

research

∙ 08/22/2023

ViCo: Engaging Video Comment Generation with Human Preference Rewards

Engaging video comments play an important role in video social media, as...

0 Yuchong Sun, et al. ∙

research

∙ 08/08/2023

Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On

Fabricating and designing 3D garments has become extremely demanding wit...

0 Daiheng Gao, et al. ∙

research

∙ 07/19/2023

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones

Accurate navigation is of paramount importance to ensure flight safety a...

0 Liekang Zeng, et al. ∙

research

∙ 07/04/2023

Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services

Graph Neural Networks (GNNs) have gained growing interest in miscellaneo...

0 Liekang Zeng, et al. ∙

research

∙ 06/16/2023

CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings

Traditional comparative learning sentence embedding directly uses the en...

0 Wei Zhang, et al. ∙

research

∙ 06/06/2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering

Collaborative filtering (CF) is an important research direction in recom...

0 Jiayan Guo, et al. ∙

research

∙ 05/29/2023

Complex CNN CSI Enhancer for Integrated Sensing and Communications

In this paper, we propose a novel complex convolutional neural network (...

0 Xu Chen, et al. ∙

research

∙ 05/23/2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion

Embedding models have shown great power in knowledge graph completion (K...

0 Rui Li, et al. ∙

research

∙ 05/06/2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction

Data sparsity is an important issue for click-through rate (CTR) predict...

0 Xu Chen, et al. ∙

research

∙ 05/03/2023

AG3D: Learning to Generate 3D Avatars from 2D Image Collections

While progress in 2D generative models of human appearance has been rapi...

0 Zijian Dong, et al. ∙

research

∙ 04/22/2023

Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets

Provisioning dynamic machine learning (ML) inference as a service for ar...

0 Huirong Ma, et al. ∙

research

∙ 04/04/2023

Code-Division OFDM Joint Communication and Sensing System for 6G Machine-type Communication

The joint communication and sensing (JCS) system can provide higher spec...

0 Xu Chen, et al. ∙

research

∙ 04/04/2023

Sensing Performance of Cooperative Joint Sensing-Communication UAV Network

We propose a novel cooperative joint sensing-communication (JSC) unmanne...

0 Xu Chen, et al. ∙

research

∙ 03/02/2023

Learning to Detect Slip through Tactile Measures of the Contact Force Field and its Entropy

Detection of slip during object grasping and manipulation plays a vital ...

1 Xiaohai Hu, et al. ∙

research

∙ 02/28/2023

On-the-Fly Communication-and-Computing for Distributed Tensor Decomposition Over MIMO Channels

Distributed tensor decomposition (DTD) is a fundamental data-analytics t...

0 Xu Chen, et al. ∙

research

∙ 02/22/2023

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition

We present Vid2Avatar, a method to learn human avatars from monocular in...

0 Chen Guo, et al. ∙

research

∙ 02/21/2023

Joint Communication, Sensing and Computation enabled 6G Intelligent Machine System

With the rapid development of the smart city, high-level autonomous driv...

0 Zhiyong Feng, et al. ∙

research

∙ 02/16/2023

Robust Mid-Pass Filtering Graph Convolutional Networks

Graph convolutional networks (GCNs) are currently the most promising par...

1 Jincheng Huang, et al. ∙

research

∙ 02/13/2023

Homophily-oriented Heterogeneous Graph Rewiring

With the rapid development of the World Wide Web (WWW), heterogeneous gr...

0 Jiayan Guo, et al. ∙

research

∙ 02/01/2023

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

Machine learning (ML) tasks are one of the major workloads in today's ed...

0 Yihong Li, et al. ∙

research

∙ 02/01/2023

Fairness-aware Cross-Domain Recommendation

Cross-Domain Recommendation (CDR) is an effective way to alleviate the c...

0 Jiakai Tang, et al. ∙

research

∙ 01/20/2023

Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading

To identify dense and small-size pedestrians in surveillance systems, hi...

1 Hao Wang, et al. ∙

research

∙ 01/16/2023

HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association

Federated learning (FL) is a promising paradigm that enables collaborati...

0 Qiong Wu, et al. ∙

research

∙ 12/20/2022

InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds

In this paper, we take a significant step towards real-world applicabili...

0 Tianjian Jiang, et al. ∙

research

∙ 12/13/2022

Coarse-to-Fine Contrastive Learning on Graphs

Inspired by the impressive success of contrastive learning (CL), a varie...

0 Peiyao Zhao, et al. ∙

research

∙ 12/02/2022

Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network

The space-air-ground integrated network (SAGIN), one of the key technolo...

0 Qingze Fang, et al. ∙

research

∙ 11/28/2022

Fast-SNARF: A Fast Deformer for Articulated Neural Fields

Neural fields have revolutionized the area of 3D reconstruction and nove...

0 Xu Chen, et al. ∙

research

∙ 11/09/2022

Kalman Filter-based Sensing in Communication Systems with Clock Asynchronism

In this paper, we propose a novel Kalman Filter (KF)-based uplink (UL) j...

0 Xu Chen, et al. ∙

research

∙ 11/08/2022

Downlink and Uplink Cooperative Joint Communication and Sensing

Downlink (DL) and uplink (UL) joint communication and sensing (JCAS) tec...

0 Xu Chen, et al. ∙

research

∙ 11/08/2022

Multiple Signal Classification Based Joint Communication and Sensing System

Joint communication and sensing (JCS) has become a promising technology ...

0 Xu Chen, et al. ∙

research

∙ 11/08/2022

Sensing-aided Uplink Channel Estimation for Joint Communication and Sensing

The joint communication and sensing (JCAS) technique has drawn great att...

0 Xu Chen, et al. ∙

research

∙ 11/08/2022

Concurrent Downlink and Uplink Joint Communication and Sensing for 6G Networks

Joint communication and sensing (JCAS) is a promising technology for 6th...

0 Xu Chen, et al. ∙

research

∙ 10/31/2022

GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers

Edge intelligence has arisen as a promising computing paradigm for suppo...

0 Liekang Zeng, et al. ∙

research

∙ 09/02/2022

Multi-Modal Experience Inspired AI Creation

AI creation, such as poem or lyrics generation, has attracted increasing...

0 Qian Cao, et al. ∙

research

∙ 08/15/2022

Debiased Recommendation with Neural Stratification

Debiased recommender models have recently attracted increasing attention...

0 Quanyu Dai, et al. ∙

research

∙ 08/09/2022

Cluster extent inference revisited: quantification and localization of brain activity

Cluster inference based on spatial extent thresholding is the most popul...

0 Jelle J. Goeman, et al. ∙

research

∙ 07/25/2022

Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective

Federated learning (FL) is a promising distributed framework for collabo...

0 Guangjing Huang, et al. ∙

research

∙ 07/11/2022

TIPS: Transaction Inclusion Protocol with Signaling in DAG-based Blockchain

Directed Acyclic Graph (DAG) is a popular approach to achieve scalabilit...

0 Canhui Chen, et al. ∙

research

∙ 07/09/2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction

As an essential operation of legal retrieval, legal case matching plays ...

0 Weijie Yu, et al. ∙

research

∙ 06/27/2022

Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference

Classical cluster inference is hampered by the spatial specificity parad...

0 Xu Chen, et al. ∙

research

∙ 06/15/2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

In order to support the study of recent advances in recommender systems,...

0 Wayne Xin Zhao, et al. ∙

research

∙ 06/08/2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking

Monocular image-based 3D perception has become an active research area i...

6 Longlong Jing, et al. ∙

research

∙ 05/23/2022

GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection

In recent years, the emergence and development of third-party platforms ...

0 Xu Chen, 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

∙ 05/05/2022

FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework

Recent work for extracting relations from texts has achieved excellent p...

0 Guozheng Li, et al. ∙

research

∙ 04/21/2022

Working memory inspired hierarchical video decomposition with transformative representations

Video decomposition is very important to extract moving foreground objec...

0 Binjie Qin, et al. ∙

Xu Chen

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