b'Chang Liu'

research

∙ 06/25/2022

Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function

Non-convex relaxation methods have been widely used in tensor recovery p...

HongBing Zhang, et al. ∙

research

∙ 06/20/2022

Nonlinear inhomogeneous Fokker-Planck models: energetic-variational structures and long time behavior

Inspired by the modeling of grain growth in polycrystalline materials, w...

Yekaterina Epshteyn, et al. ∙

research

∙ 06/13/2022

Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications

In this paper, an intelligent reflecting surface (IRS) is introduced to ...

Yuanxin Cai, et al. ∙

research

∙ 06/09/2022

SsciBERT: A Pre-trained Language Model for Social Science Texts

The academic literature of social sciences is the literature that record...

Si Shen, et al. ∙

research

∙ 06/02/2022

Pronunciation Dictionary-Free Multilingual Speech Synthesis by Combining Unsupervised and Supervised Phonetic Representations

This paper proposes a multilingual speech synthesis method which combine...

Chang Liu, et al. ∙

research

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

Eduardo Pérez-Pellitero, et al. ∙

research

∙ 05/13/2022

Test-time Fourier Style Calibration for Domain Generalization

The topic of generalizing machine learning models learned on a collectio...

Xingchen Zhao, et al. ∙

research

∙ 04/28/2022

TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection

In recent years, phishing scams have become the most serious type of cri...

Sijia Li, et al. ∙

research

∙ 04/21/2022

6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning

Global IPv6 scanning has always been a challenge for researchers because...

Tianyu Cui, et al. ∙

research

∙ 04/20/2022

A Comprehensive Study of Accelerating IPv6 Deployment

Since the lack of IPv6 network development, China is currently accelerat...

Tianyu Cui, et al. ∙

research

∙ 04/20/2022

SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network

Unlike IPv4 addresses, which are typically masked by a NAT, IPv6 address...

Tianyu Cui, et al. ∙

research

∙ 04/12/2022

Open-set Text Recognition via Character-Context Decoupling

The open-set text recognition task is an emerging challenge that require...

Chang Liu, et al. ∙

research

∙ 03/29/2022

MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator

Manually annotating 3D point clouds is laborious and costly, limiting th...

Chang Liu, et al. ∙

research

∙ 03/10/2022

Towards Open-Set Text Recognition via Label-to-Prototype Learning

Scene text recognition is a popular topic and can benefit various tasks....

Chang Liu, et al. ∙

research

∙ 03/09/2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

This technical note describes the recent updates of Graphormer, includin...

Yu Shi, et al. ∙

research

∙ 03/06/2022

A Survey for Solving Mixed Integer Programming via Machine Learning

This paper surveys the trend of leveraging machine learning to solve mix...

Jiayi Zhang, et al. ∙

research

∙ 02/28/2022

An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets

This technical note describes the recent updates of Graphormer, includin...

Yu Shi, et al. ∙

research

∙ 02/26/2022

Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking

This paper focuses on the problem of decentralized pedestrian tracking u...

Vikram Shree, et al. ∙

research

∙ 02/09/2022

Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation

The underwater acoustic signals separation is a key technique for the un...

Jie Chen, et al. ∙

research

∙ 02/08/2022

Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach

The implementation of integrated sensing and communication (ISAC) highly...

Chang Liu, et al. ∙

research

∙ 02/03/2022

Direct Molecular Conformation Generation

Molecular conformation generation aims to generate three-dimensional coo...

Jinhua Zhu, et al. ∙

research

∙ 01/26/2022

Crystal structure prediction with machine learning-based element substitution

The prediction of energetically stable crystal structures formed by a gi...

Minoru Kusaba, et al. ∙

research

∙ 01/19/2022

DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code

Anti-counterfeiting QR codes are widely used in people's work and life, ...

Zhongyuan Guo, et al. ∙

research

∙ 12/17/2021

AI-Empowered Persuasive Video Generation: A Survey

Promotional videos are rapidly becoming a popular medium for persuading ...

Chang Liu, et al. ∙

research

∙ 11/29/2021

Feature-Gate Coupling for Dynamic Network Pruning

Gating modules have been widely explored in dynamic network pruning to r...

Mengnan Shi, et al. ∙

research

∙ 11/20/2021

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification

Deep learning models have gained remarkable performance on a variety of ...

Long Gao, et al. ∙

research

∙ 11/20/2021

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images

Medical image data are usually imbalanced across different classes. One-...

Long Gao, et al. ∙

research

∙ 11/16/2021

Towards Generating Real-World Time Series Data

Time series data generation has drawn increasing attention in recent yea...

Hengzhi Pei, et al. ∙

research

∙ 11/01/2021

Improving Location Recommendation with Urban Knowledge Graph

Location recommendation is defined as to recommend locations (POIs) to u...

Chang Liu, et al. ∙

research

∙ 10/27/2021

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

Behavioral cloning has proven to be effective for learning sequential de...

Jongjin Park, et al. ∙

research

∙ 10/20/2021

Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems

This paper investigates multiuser multi-input single-output downlink sym...

Shaokang Hu, et al. ∙

research

∙ 10/01/2021

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning

Establishing retrieval-based dialogue systems that can select appropriat...

Chongyang Tao, et al. ∙

research

∙ 09/30/2021

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors

Blind spots or outright deceit can bedevil and deceive machine learning ...

Zijian Zhu, et al. ∙

research

∙ 09/14/2021

Coo: Rethink Data Anomalies In Databases

Transaction processing technology has three important contents: data ano...

Haixiang Li, et al. ∙

research

∙ 09/13/2021

Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator

Adversarial examples can deceive a deep neural network (DNN) by signific...

Wenzhao Xiang, et al. ∙

research

∙ 09/01/2021

A Novel ISAC Transmission Framework based on Spatially-Spread Orthogonal Time Frequency Space Modulation

In this paper, we propose a novel integrated sensing and communication (...

Shuangyang Li, et al. ∙

research

∙ 08/25/2021

Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE

Traditional adversarial examples are typically generated by adding pertu...

Wenzhao Xiang, et al. ∙

research

∙ 08/03/2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering

Noisy labels are commonly found in real-world data, which cause performa...

Chang Liu, et al. ∙

research

∙ 07/16/2021

Tracing Halpha Fibrils through Bayesian Deep Learning

We present a new deep learning method, dubbed FibrilNet, for tracing chr...

Haodi Jiang, et al. ∙

research

∙ 06/30/2021

On the Generative Utility of Cyclic Conditionals

We study whether and how can we model a joint distribution p(x,z) using ...

Chang Liu, et al. ∙

research

∙ 06/25/2021

A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)

In this paper, a mechanistic data-driven approach is proposed to acceler...

Tianle Yue, et al. ∙

research

∙ 06/24/2021

Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks

The adoption of electronic health records (EHR) has become universal dur...

Xianlong Zeng, et al. ∙

research

∙ 06/24/2021

Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods

The black-box nature of machine learning models limits their use in case...

Xianlong Zeng, et al. ∙

research

∙ 06/23/2021

Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis

The claims data, containing medical codes, services information, and inc...

Xianlong Zeng, et al. ∙

research

∙ 06/23/2021

Sampling with Mirrored Stein Operators

We introduce a new family of particle evolution samplers suitable for co...

Jiaxin Shi, et al. ∙

research

∙ 06/18/2021

Light Pollution Reduction in Nighttime Photography

Nighttime photographers are often troubled by light pollution of unwante...

Chang Liu, et al. ∙

research

∙ 06/11/2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

Denoising diffusion probabilistic models have been recently proposed to ...

Sang-gil Lee, et al. ∙

research

∙ 05/18/2021

Learning to Route via Theory-Guided Residual Network

The heavy traffic and related issues have always been concerns for moder...

Chang Liu, et al. ∙

research

∙ 04/26/2021

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications

The realization of practical intelligent reflecting surface (IRS)-assist...

Chang Liu, et al. ∙

research

∙ 04/19/2021

Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning

Domain adaptation enhances generalizability of a model across domains wi...

Kai Li, et al. ∙

Chang Liu

Featured Co-authors