b'Xin Wang'

research

∙ 06/18/2022

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search

Graph neural architecture search (GraphNAS) has recently aroused conside...

Yijian Qin, et al. ∙

research

∙ 06/16/2022

Concentration of Data Encoding in Parameterized Quantum Circuits

Variational quantum algorithms have been acknowledged as a leading strat...

Guangxi Li, et al. ∙

research

∙ 06/15/2022

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions

Clustering is a fundamental machine learning task which has been widely ...

Sheng Zhou, et al. ∙

research

∙ 06/15/2022

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Although deep neural networks are capable of achieving performance super...

Adrian El Baz, et al. ∙

research

∙ 06/10/2022

Deep Learning-based Massive MIMO CSI Acquisition for 5G Evolution and 6G

Recently, inspired by successful applications in many fields, deep learn...

Xin Wang, et al. ∙

research

∙ 06/06/2022

Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement

Previous methods on multimodal groupwise registration typically require ...

Xin Wang, et al. ∙

research

∙ 05/26/2022

Mitigating barren plateaus of variational quantum eigensolvers

Variational quantum algorithms (VQAs) are expected to establish valuable...

Xia Liu, et al. ∙

research

∙ 05/23/2022

Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation

Magnetic resonance (MR) images are often acquired in 2D settings for rea...

Xin Wang, et al. ∙

research

∙ 05/16/2022

Power and limitations of single-qubit native quantum neural networks

Quantum neural networks (QNNs) have emerged as a leading strategy to est...

Zhan Yu, et al. ∙

research

∙ 05/14/2022

The VoicePrivacy 2020 Challenge Evaluation Plan

The VoicePrivacy Challenge aims to promote the development of privacy pr...

Natalia Tomashenko, et al. ∙

research

∙ 05/12/2022

Mask Wearing Status Estimation with Smartwatches

We present MaskReminder, an automatic mask-wearing status estimation sys...

Huina Meng, et al. ∙

research

∙ 05/12/2022

Social Distancing Alert with Smartwatches

Social distancing is an efficient public health practice during the COVI...

Xin Wang, et al. ∙

research

∙ 05/11/2022

Quantum Self-Attention Neural Networks for Text Classification

An emerging direction of quantum computing is to establish meaningful qu...

Guangxi Li, et al. ∙

research

∙ 05/10/2022

Fundamental limitations on optimization in variational quantum algorithms

Exploring quantum applications of near-term quantum devices is a rapidly...

Hao-Kai Zhang, et al. ∙

research

∙ 05/10/2022

An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics

With the popularity of Internet of Things (IoT), edge computing and clou...

Xin Wang, et al. ∙

research

∙ 05/04/2022

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

Recent years have witnessed increasing interest in code representation l...

Xin Wang, et al. ∙

research

∙ 04/30/2022

Receiver Design for MIMO Unsourced Random Access with SKP Coding

In this letter, we extend the sparse Kronecker-product (SKP) coding sche...

Zeyu Han, et al. ∙

research

∙ 04/23/2022

Visual Attention Emerges from Recurrent Sparse Reconstruction

Visual attention helps achieve robust perception under noise, corruption...

Baifeng Shi, et al. ∙

research

∙ 04/19/2022

Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing

Deep learning (DL) techniques are proven effective in many challenging t...

Jiazhen Gu, et al. ∙

research

∙ 04/13/2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes

In this paper, we propose a dynamic cascaded encoder Automatic Speech Re...

Shaojin Ding, et al. ∙

research

∙ 04/11/2022

The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance

Automatic speaker verification is susceptible to various manipulations a...

Lin Zhang, et al. ∙

research

∙ 04/07/2022

Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum

Various neural network models have been proposed to tackle combinatorial...

Zeyang Zhang, et al. ∙

research

∙ 04/07/2022

Flexible Sampling for Long-tailed Skin Lesion Classification

Most of the medical tasks naturally exhibit a long-tailed distribution d...

Lie Ju, et al. ∙

research

∙ 03/28/2022

Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions

In our previous work, we proposed a language-independent speaker anonymi...

Xiaoxiao Miao, et al. ∙

research

∙ 03/23/2022

The VoicePrivacy 2022 Challenge Evaluation Plan

For new participants - Executive summary: (1) The task is to develop a v...

Natalia Tomashenko, et al. ∙

research

∙ 03/10/2022

A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach

Temporal Sentence Grounding in Videos (TSGV), which aims to ground a nat...

Xiaohan Lan, et al. ∙

research

∙ 03/09/2022

Information recoverability of noisy quantum states

Classical information, also known as shadow information, carried by quan...

Xuanqiang Zhao, et al. ∙

research

∙ 03/08/2022

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

Building reliable object detectors that can detect out-of-distribution (...

Xuefeng Du, et al. ∙

research

∙ 03/01/2022

Optimal quantum dataset for learning a unitary transformation

Unitary transformations formulate the time evolution of quantum states. ...

Zhan Yu, et al. ∙

research

∙ 02/27/2022

Synergistic Network Learning and Label Correction for Noise-robust Image Classification

Large training datasets almost always contain examples with inaccurate o...

Chen gong, et al. ∙

research

∙ 02/26/2022

Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models

Speaker anonymization aims to protect the privacy of speakers while pres...

Xiaoxiao Miao, et al. ∙

research

∙ 02/24/2022

Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

The performance of spoofing countermeasure systems depends fundamentally...

Hemlata Tak, et al. ∙

research

∙ 02/16/2022

Out-Of-Distribution Generalization on Graphs: A Survey

Graph machine learning has been extensively studied in both academia and...

Haoyang Li, et al. ∙

research

∙ 02/16/2022

Near-optimal Top-k Pattern Mining

Nowadays, frequent pattern mining (FPM) on large graphs receives increas...

Xin Wang, et al. ∙

research

∙ 01/23/2022

Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets

We introduce a pattern mining framework that operates on semi-structured...

Xin Wang, et al. ∙

research

∙ 01/12/2022

Robust Contrastive Learning against Noisy Views

Contrastive learning relies on an assumption that positive pairs contain...

Ching-Yao Chuang, et al. ∙

research

∙ 01/12/2022

Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD

Wall-clock convergence time and communication load are key performance m...

Feng Zhu, et al. ∙

research

∙ 01/10/2022

A Practical Guide to Logical Access Voice Presentation Attack Detection

Voice-based human-machine interfaces with an automatic speaker verificat...

Xin Wang, et al. ∙

research

∙ 01/04/2022

Self-directed Machine Learning

Conventional machine learning (ML) relies heavily on manual design from ...

Wenwu Zhu, et al. ∙

research

∙ 01/04/2022

Automated Graph Machine Learning: Approaches, Libraries and Directions

Graph machine learning has been extensively studied in both academic and...

Xin Wang, et al. ∙

research

∙ 01/03/2022

Compression-Resistant Backdoor Attack against Deep Neural Networks

In recent years, many backdoor attacks based on training data poisoning ...

Mingfu Xue, et al. ∙

research

∙ 12/23/2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

Geometric deep learning, i.e., designing neural networks to handle the u...

Ziwei Zhang, et al. ∙

research

∙ 12/21/2021

A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing

Coflow is a recently proposed networking abstraction to help improve the...

Xin Wang, et al. ∙

research

∙ 12/21/2021

Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture

We propose a modular architecture for the lifelong learning of hierarchi...

Zihao Deng, et al. ∙

research

∙ 12/20/2021

Blockchain Mining with Multiple Selfish Miners

This paper studies a fundamental problem regarding the security of block...

Qianlan Bai, et al. ∙

research

∙ 12/20/2021

Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks

In decentralized learning, a network of nodes cooperate to minimize an o...

Xuanjie Li, et al. ∙

research

∙ 12/17/2021

Reproducible and Portable Big Data Analytics in the Cloud

Cloud computing has become a major approach to help reproduce computatio...

Xin Wang, et al. ∙

research

∙ 12/09/2021

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

We propose UWash, an intelligent solution upon smartwatches, to assess h...

Fei Wang, et al. ∙

research

∙ 12/07/2021

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network

Graph neural networks (GNNs) have achieved impressive performance when t...

Haoyang Li, et al. ∙

research

∙ 11/23/2021

HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation

As a critical cue for understanding human intention, human gaze provides...

Shaobo Guo, et al. ∙

Xin Wang

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