b'Jie Zhang'

research

∙ 07/05/2022

Wider: Scale Out Blockchain With Sharding by Account

The development of blockchain applications increased the demand for bloc...

Jia Kan, et al. ∙

research

∙ 07/01/2022

On the Performance of Data Compression in Clustered Fog Radio Access Networks

The fog-radio-access-network (F-RAN) has been proposed to address the st...

Haonan Hu, et al. ∙

research

∙ 06/22/2022

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

Recently, one critical issue looms large in the field of recommender sys...

Zhu Sun, et al. ∙

research

∙ 06/20/2022

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration

Massive practical works addressed by Deep Q-network (DQN) algorithm have...

Wenhui Huang, et al. ∙

research

∙ 06/03/2022

Multivariate Sparse Group Lasso Joint Model for Radiogenomics Data

Radiogenomics is an emerging field in cancer research that combines medi...

Tiantian Zeng, et al. ∙

research

∙ 05/26/2022

Joint Training of Speech Enhancement and Self-supervised Model for Noise-robust ASR

Speech enhancement (SE) is usually required as a front end to improve th...

Qiu-Shi Zhu, et al. ∙

research

∙ 05/09/2022

Layer-wised Model Aggregation for Personalized Federated Learning

Personalized Federated Learning (pFL) not only can capture the common pr...

Xiaosong Ma, et al. ∙

research

∙ 04/14/2022

On Scheduling Mechanisms Beyond the Worst Case

The problem of scheduling unrelated machines has been studied since the ...

Yansong Gao, et al. ∙

research

∙ 04/14/2022

Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression

Traditional one-bit compressed stochastic gradient descent can not be di...

Feijie Wu, et al. ∙

research

∙ 04/12/2022

Recommender May Not Favor Loyal Users

In academic research, recommender systems are often evaluated on benchma...

Yitong Ji, et al. ∙

research

∙ 04/11/2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

The development of personalized recommendation has significantly improve...

Yuanxing Zhang, et al. ∙

research

∙ 04/05/2022

A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition

Unpaired data has shown to be beneficial for low-resource automatic spee...

Ye-Qian Du, et al. ∙

research

∙ 04/05/2022

Time Efficient Joint UAV-BS Deployment and User Association based on Machine Learning

This paper proposes a time-efficient mechanism to decrease the on-line c...

Bo Ma, et al. ∙

research

∙ 02/24/2022

Combining the target trial and estimand frameworks to define the causal estimand: an application using real-world data to contextualize a single-arm trial

Single-arm trials (SATs) may be used to support regulatory submissions i...

Lisa V. Hampson, et al. ∙

research

∙ 02/15/2022

Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition

With the advance in self-supervised learning for audio and visual modali...

Zi-Qiang Zhang, et al. ∙

research

∙ 02/15/2022

Learning to Solve Routing Problems via Distributionally Robust Optimization

Recent deep models for solving routing problems always assume a single d...

Yuan Jiang, et al. ∙

research

∙ 02/05/2022

A Coalition Formation Game Approach for Personalized Federated Learning

Facing the challenge of statistical diversity in client local data distr...

Leijie Wu, et al. ∙

research

∙ 01/28/2022

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning

Adversarial examples are inputs for machine learning models that have be...

Jie Zhang, et al. ∙

research

∙ 01/22/2022

Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals

In this work, we propose a bi-directional long short-term memory (BiLSTM...

Xing-Yu Chen, et al. ∙

research

∙ 01/22/2022

A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition

Wav2vec2.0 is a popular self-supervised pre-training framework for learn...

Qiu-Shi Zhu, et al. ∙

research

∙ 12/19/2021

Initiative Defense against Facial Manipulation

Benefiting from the development of generative adversarial networks (GAN)...

Qidong Huang, et al. ∙

research

∙ 12/17/2021

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization

In the setting of federated optimization, where a global model is aggreg...

Feijie Wu, et al. ∙

research

∙ 12/16/2021

GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation

Sequential recommendation based on multi-interest framework models the u...

Jie Zhang, et al. ∙

research

∙ 12/15/2021

Tracing Text Provenance via Context-Aware Lexical Substitution

Text content created by humans or language models is often stolen or mis...

Xi Yang, et al. ∙

research

∙ 12/07/2021

Peer-to-Peer Energy Trading in a Microgrid Leveraged by Smart Contracts

The current electricity networks were not initially designed for the hig...

Guilherme Vieira, et al. ∙

research

∙ 12/02/2021

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses

Code embedding is a keystone in the application of machine learning on s...

Wei Ma, et al. ∙

research

∙ 11/30/2021

Deep Auto-encoder with Neural Response

Artificial intelligence and neuroscience are deeply interactive. Artific...

Xuming Ran, et al. ∙

research

∙ 11/27/2021

Adaptive Image Transformations for Transfer-based Adversarial Attack

Adversarial attacks provide a good way to study the robustness of deep l...

Zheng Yuan, et al. ∙

research

∙ 11/27/2021

Adaptive Perturbation for Adversarial Attack

In recent years, the security of deep learning models achieves more and ...

Zheng Yuan, et al. ∙

research

∙ 11/18/2021

3D Lip Event Detection via Interframe Motion Divergence at Multiple Temporal Resolutions

The lip is a dominant dynamic facial unit when a person is speaking. Det...

Jie Zhang, et al. ∙

research

∙ 11/12/2021

A lightweight blockchain-based access control scheme for integrated edge computing in the internet of things

In view of the security issues of the Internet of Things (IoT), consider...

Jie Zhang, et al. ∙

research

∙ 11/08/2021

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems

Recommender Systems (RSs) in real-world applications often deal with bil...

Danni Peng, et al. ∙

research

∙ 11/04/2021

Parameterized Knowledge Transfer for Personalized Federated Learning

In recent years, personalized federated learning (pFL) has attracted inc...

Jie Zhang, et al. ∙

research

∙ 11/01/2021

Learning Large Neighborhood Search Policy for Integer Programming

We propose a deep reinforcement learning (RL) method to learn large neig...

Yaoxin Wu, et al. ∙

research

∙ 10/24/2021

SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing

The operation and management of intelligent transportation systems (ITS)...

Kafeng Wang, et al. ∙

research

∙ 10/21/2021

Fundamental Wireless Performance of a Building

Over 80 gas, and electricity, wireless communication is becoming one of ...

Jiliang Zhang, et al. ∙

research

∙ 10/19/2021

Cross-Vendor CT Image Data Harmonization Using CVH-CT

While remarkable advances have been made in Computed Tomography (CT), mo...

Md. Selim, et al. ∙

research

∙ 10/15/2021

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

We present NeuroLKH, a novel algorithm that combines deep learning with ...

Liang Xin, et al. ∙

research

∙ 10/14/2021

sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs

Recent advancements in Graph Neural Networks have led to state-of-the-ar...

Jie Zhang, et al. ∙

research

∙ 10/08/2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining

Recent expeditious developments in deep learning algorithms, distributed...

Junyang Lin, et al. ∙

research

∙ 10/06/2021

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning

Recently, there is an emerging trend to apply deep reinforcement learnin...

Jingwen Li, et al. ∙

research

∙ 10/06/2021

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem

Existing deep reinforcement learning (DRL) based methods for solving the...

Jingwen Li, et al. ∙

research

∙ 09/23/2021

Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark

Recognizing the emotional state of people is a basic but challenging tas...

Xun Gao, et al. ∙

research

∙ 09/12/2021

Ohm-GPU: Integrating New Optical Network and Heterogeneous Memory into GPU Multi-Processors

Traditional graphics processing units (GPUs) suffer from the low memory ...

Jie Zhang, et al. ∙

research

∙ 08/30/2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

This report summarizes the results of Learning to Understand Aerial Imag...

Gui-Song Xia, et al. ∙

research

∙ 08/09/2021

Meta Gradient Adversarial Attack

In recent years, research on adversarial attacks has become a hot spot. ...

Zheng Yuan, et al. ∙

research

∙ 08/05/2021

Poison Ink: Robust and Invisible Backdoor Attack

Recent research shows deep neural networks are vulnerable to different t...

Jie Zhang, et al. ∙

research

∙ 08/05/2021

Exploring Structure Consistency for Deep Model Watermarking

The intellectual property (IP) of Deep neural networks (DNNs) can be eas...

Jie Zhang, et al. ∙

research

∙ 07/20/2021

Locality-aware Channel-wise Dropout for Occluded Face Recognition

Face recognition remains a challenging task in unconstrained scenarios, ...

Mingjie He, et al. ∙

research

∙ 07/07/2021

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering

Collaborative filtering (CF) is widely used to learn an informative late...

Xin Zhou, et al. ∙

Jie Zhang

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