b'Shuai Wang'

research

∙ 06/20/2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

As shown by recent studies, machine intelligence-enabled systems are vul...

Chejian Xu, 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...

Peixi Liu, et al. ∙

research

∙ 06/03/2022

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

Realizing human-like perception is a challenge in open driving scenarios...

Shuai Wang, et al. ∙

research

∙ 05/24/2022

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees

We propose Byzantine-robust federated learning protocols with nearly opt...

Banghua Zhu, et al. ∙

research

∙ 05/05/2022

Low-complexity Beam Selection algorithms based on SVD for MmWave Massive MIMO Systems

To realize mmWave massive MIMO systems in practice, Beamspace MIMO with ...

Jinxing Yang, et al. ∙

research

∙ 04/30/2022

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers

Current pre-trained language model approaches to information retrieval c...

Hang Li, et al. ∙

research

∙ 04/26/2022

Federated Stochastic Primal-dual Learning with Differential Privacy

Federated learning (FL) is a new paradigm that enables many clients to j...

Yiwei Li, et al. ∙

research

∙ 04/20/2022

Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings

Neural program embeddings have demonstrated considerable promise in a ra...

Zongjie Li, et al. ∙

research

∙ 04/06/2022

From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search

Medical systematic review query formulation is a highly complex task don...

Shuai Wang, et al. ∙

research

∙ 03/26/2022

SGDR: Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation

Disentangled representation is a powerful technique to tackle domain shi...

Shuai Wang, et al. ∙

research

∙ 03/08/2022

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping

Skull stripping is a crucial prerequisite step in the analysis of brain ...

Yunxiang Li, et al. ∙

research

∙ 01/29/2022

Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design

To support the unprecedented growth of the Internet of Things (IoT) appl...

Xiaoyang Li, et al. ∙

research

∙ 01/08/2022

Attacking Vertical Collaborative Learning System Using Adversarial Dominating Inputs

Vertical collaborative learning system also known as vertical federated ...

Qi Pang, et al. ∙

research

∙ 12/09/2021

Automated Side Channel Analysis of Media Software with Manifold Learning

The prosperous development of cloud computing and machine learning as a ...

Yuanyuan Yuan, et al. ∙

research

∙ 12/08/2021

Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study

Screening or assessing studies is critical to the quality and outcomes o...

Shuai Wang, et al. ∙

research

∙ 12/06/2021

MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process

The Markov decision process (MDP) provides a mathematical framework for ...

Qi Pang, et al. ∙

research

∙ 12/03/2021

Enhancing Deep Neural Networks Testing by Traversing Data Manifold

We develop DEEPTRAVERSAL, a feedback-driven framework to test DNNs. DEEP...

Yuanyuan Yuan, et al. ∙

research

∙ 12/03/2021

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage

This paper summarizes eight design requirements for DNN testing criteria...

Yuanyuan Yuan, et al. ∙

research

∙ 12/01/2021

MeSH Term Suggestion for Systematic Review Literature Search

High-quality medical systematic reviews require comprehensive literature...

Shuai Wang, et al. ∙

research

∙ 10/28/2021

Dispensed Transformer Network for Unsupervised Domain Adaptation

Accurate segmentation is a crucial step in medical image analysis and ap...

Yunxiang Li, et al. ∙

research

∙ 10/23/2021

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images

The accurate segmentation of organs-at-risk (OARs) in head and neck CT i...

Shuai Wang, et al. ∙

research

∙ 09/30/2021

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation

To achieve an accurate assessment of root canal therapy, a fundamental s...

Yunxiang Li, et al. ∙

research

∙ 09/23/2021

Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

In this work we propose a new task: artistic visualization of classical ...

Dan Li, et al. ∙

research

∙ 09/11/2021

ECCR: Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks interference mitigation

Recent advances in Low-Power Wide-Area Networks have mitigated interfere...

Luoyu Mei, et al. ∙

research

∙ 09/08/2021

Partial Symbol Recovery for Interference Resilience in Low-Power Wide Area Networks

Recent years have witnessed the proliferation of Low-power Wide Area Net...

Kai Sun, et al. ∙

research

∙ 08/31/2021

Self-Supervised Learning Based Domain Adaptation for Robust Speaker Verification

Large performance degradation is often observed for speaker ver-ificatio...

Zhengyang Chen, et al. ∙

research

∙ 07/24/2021

Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling

The popular federated edge learning (FEEL) framework allows privacy-pres...

Maojun Zhang, et al. ∙

research

∙ 07/19/2021

Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence

The rapid development of artificial intelligence together with the power...

Xiaoyang Li, et al. ∙

research

∙ 06/29/2021

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

Few-shot Named Entity Recognition (NER) exploits only a handful of annot...

Meihan Tong, et al. ∙

research

∙ 06/17/2021

Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction

Detecting what emotions are expressed in text is a well-studied problem ...

Elsbeth Turcan, et al. ∙

research

∙ 05/31/2021

Privileged Graph Distillation for Cold Start Recommendation

The cold start problem in recommender systems is a long-standing challen...

Shuai Wang, et al. ∙

research

∙ 05/30/2021

FED-χ^2: Privacy Preserving Federated Correlation Test

In this paper, we propose the first secure federated χ^2-test protocol F...

Lun Wang, et al. ∙

research

∙ 05/10/2021

Voice activity detection in the wild: A data-driven approach using teacher-student training

Voice activity detection is an essential pre-processing component for sp...

Heinrich Dinkel, et al. ∙

research

∙ 05/02/2021

Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy

Objective: Accurate evaluation of the root canal filling result in X-ray...

Yunxiang Li, et al. ∙

research

∙ 04/27/2021

A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking

To inhibit the spread of rumorous information and its severe consequence...

Shuai Wang, et al. ∙

research

∙ 04/17/2021

Sequential Cross-Document Coreference Resolution

Relating entities and events in text is a key component of natural langu...

Emily Allaway, et al. ∙

research

∙ 03/07/2021

High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection

As the most economical and routine auxiliary examination in the diagnosi...

Yunxiang Li, et al. ∙

research

∙ 03/05/2021

Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles

The technology of dynamic map fusion among networked vehicles has been d...

Zijian Zhang, et al. ∙

research

∙ 02/19/2021

Unit selection synthesis based data augmentation for fixed phrase speaker verification

Data augmentation is commonly used to help build a robust speaker verifi...

Houjun Huang, et al. ∙

research

∙ 02/05/2021

Reconfigurable Intelligent Surface Assisted Edge Machine Learning

The ever-growing popularity and rapid improving of artificial intelligen...

Shanfeng Huang, et al. ∙

research

∙ 02/03/2021

Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis

Reconfigurable intelligent surface (RIS)-assisted transmission and space...

Qiang Li, et al. ∙

research

∙ 01/28/2021

Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)

Edge federated learning (FL) is an emerging machine learning paradigm th...

Shuai Wang, et al. ∙

research

∙ 12/25/2020

Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks

The ever-growing popularity and rapid improving of artificial intelligen...

Shanfeng Huang, et al. ∙

research

∙ 12/21/2020

MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing

Text-to-SQL is a task to generate SQL queries from human utterances. How...

Pingchuan Ma, et al. ∙

research

∙ 12/14/2020

Multi-Domain Multi-Task Rehearsal for Lifelong Learning

Rehearsal, seeking to remind the model by storing old knowledge in lifel...

Fan lyu, et al. ∙

research

∙ 10/29/2020

Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment

Edge intelligence is an emerging network architecture that integrates se...

Liangkai Zhou, et al. ∙

research

∙ 10/29/2020

Reconfigurable Intelligent Surface Aided Secure Transmission: Outage-Constrained Energy-Efficiency Maximization

Reconfigurable intelligent surface (RIS) has the potential to significan...

Zongze Li, et al. ∙

research

∙ 10/11/2020

A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining

Classifying and resolving coreferences of objects (e.g., product names) ...

Jiahua Chen, et al. ∙

research

∙ 10/06/2020

Resource-Enhanced Neural Model for Event Argument Extraction

Event argument extraction (EAE) aims to identify the arguments of an eve...

Jie Ma, et al. ∙

research

∙ 10/02/2020

F2ED-Learning: Good Fences Make Good Neighbors

In this paper, we present F2ED-Learning, the first federated learning pr...

Lun Wang, et al. ∙

Shuai Wang

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