b'Peng Zhang'

research

∙ 07/28/2022

Measuring Difficulty of Novelty Reaction

Current AI systems are designed to solve close-world problems with the a...

Ekaterina Nikonova, et al. ∙

research

∙ 07/28/2022

Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs

Inductive link prediction for knowledge graph aims at predicting missing...

Xiaohan Xu, et al. ∙

research

∙ 07/06/2022

A Framework Based on Generational and Environmental Response Strategies for Dynamic Multi-objective Optimization

Due to the dynamics and uncertainty of the dynamic multi-objective optim...

Qingya Li, et al. ∙

research

∙ 05/31/2022

Text/Speech-Driven Full-Body Animation

Due to the increasing demand in films and games, synthesizing 3D avatar ...

Wenlin Zhuang, et al. ∙

research

∙ 05/30/2022

Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength

Reinforcement learning (RL) is gaining attention by more and more resear...

Huifang Huang, et al. ∙

research

∙ 05/25/2022

AI-aided multiscale modeling of physiologically-significant blood clots

We have developed an AI-aided multiple time stepping (AI-MTS) algorithm ...

Yicong Zhu, et al. ∙

research

∙ 05/06/2022

A Rapid Power-iterative Root-MUSIC Estimator for Massive/Ultra-massive MIMO Receiver

For a passive direction of arrival (DOA) measurement system using massiv...

Qijuan Jie, et al. ∙

research

∙ 05/03/2022

Hardness Results for Weaver's Discrepancy Problem

Marcus, Spielman and Srivastava (Annals of Mathematics 2014) solved the ...

Daniel A. Spielman, et al. ∙

research

∙ 04/19/2022

Test suite effectiveness metric evaluation: what do we know and what should we do?

Comparing test suite effectiveness metrics has always been a research ho...

Peng Zhang, et al. ∙

research

∙ 04/19/2022

Enhancing CTR Prediction with Context-Aware Feature Representation Learning

CTR prediction has been widely used in the real world. Many methods mode...

Fangye Wang, et al. ∙

research

∙ 04/16/2022

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data

High-dimensional and sparse (HiDS) matrices are omnipresent in a variety...

Di Wu, et al. ∙

research

∙ 03/31/2022

Personalized Image Aesthetics Assessment with Rich Attributes

Personalized image aesthetics assessment (PIAA) is challenging due to it...

Yuzhe Yang, et al. ∙

research

∙ 03/26/2022

Power Allocation for IRS-aided Two-way Decode-and-Forward Relay Wireless Network

In this paper, an intelligent reflecting surface (IRS)-aided two-way dec...

Xuehui Wang, et al. ∙

research

∙ 03/18/2022

Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid

Traditional botnet attacks leverage large and distributed numbers of com...

Lynn Pepin, et al. ∙

research

∙ 03/17/2022

Phase Optimization for Massive IRS-aided Two-way Relay Network

In this paper, with the help of an intelligent reflecting surface (IRS),...

Peng Zhang, et al. ∙

research

∙ 03/10/2022

An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection

DeepFake based digital facial forgery is threatening the public media se...

Ganglai Wang, et al. ∙

research

∙ 03/08/2022

Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild

Talking face generation with great practical significance has attracted ...

Ganglai Wang, et al. ∙

research

∙ 03/05/2022

Audio-visual speech separation based on joint feature representation with cross-modal attention

Multi-modal based speech separation has exhibited a specific advantage o...

Junwen Xiong, et al. ∙

research

∙ 03/04/2022

Look&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement

Active speaker detection and speech enhancement have become two increasi...

Junwen Xiong, et al. ∙

research

∙ 02/23/2022

Absolute Zero-Shot Learning

Considering the increasing concerns about data copyright and privacy iss...

Rui Gao, et al. ∙

research

∙ 02/21/2022

Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing

Although previous CNN based face anti-spoofing methods have achieved pro...

Ying Bian, et al. ∙

research

∙ 02/10/2022

Hardness Results for Laplacians of Simplicial Complexes via Sparse-Linear Equation Complete Gadgets

We study linear equations in combinatorial Laplacians of k-dimensional s...

Ming Ding, et al. ∙

research

∙ 01/27/2022

Two-Commodity Flow is Equivalent to Linear Programming under Nearly-Linear Time Reductions

We give a nearly-linear time reduction that encodes any linear program a...

Ming Ding, et al. ∙

research

∙ 12/31/2021

An Intelligent Self-driving Truck System For Highway Transportation

Recently, there have been many advances in autonomous driving society, a...

Dawei Wang, et al. ∙

research

∙ 12/27/2021

MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer

Pancreatic cancer is one of the most malignant cancers in the world, whi...

Tianyi Zhang, et al. ∙

research

∙ 09/22/2021

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing

Great diversity and photorealism have been achieved by unconditional GAN...

Bingchuan Li, et al. ∙

research

∙ 08/31/2021

Phy-Q: A Benchmark for Physical Reasoning

Humans are well-versed in reasoning about the behaviors of physical obje...

Cheng Xue, et al. ∙

research

∙ 08/17/2021

GCCAD: Graph Contrastive Coding for Anomaly Detection

Graph-based anomaly detection has been widely used for detecting malicio...

Bo Chen, et al. ∙

research

∙ 08/15/2021

Efficient Byzantine-Resilient Stochastic Gradient Desce

Distributed Learning often suffers from Byzantine failures, and there ha...

Kaiyun Li, et al. ∙

research

∙ 07/31/2021

Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking

The target representation learned by convolutional neural networks plays...

Jingxian Sun, et al. ∙

research

∙ 06/17/2021

Hi-Phy: A Benchmark for Hierarchical Physical Reasoning

Reasoning about the behaviour of physical objects is a key capability of...

Cheng Xue, et al. ∙

research

∙ 06/13/2021

WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments

In the speaker extraction problem, it is found that additional informati...

Yunzhe Hao, et al. ∙

research

∙ 05/18/2021

Path-based Deep Network for Candidate Item Matching in Recommenders

The large-scale recommender system mainly consists of two stages: matchi...

Houyi Li, et al. ∙

research

∙ 05/13/2021

LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment

Table structure recognition is a challenging task due to the various str...

Liang Qiao, et al. ∙

research

∙ 05/13/2021

VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations

Document layout analysis is crucial for understanding document structure...

Peng Zhang, et al. ∙

research

∙ 05/13/2021

GIPA: General Information Propagation Algorithm for Graph Learning

Graph neural networks (GNNs) have been popularly used in analyzing graph...

Qinkai Zheng, et al. ∙

research

∙ 05/11/2021

A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification

Convolutional neural networks (CNNs) have been applied to learn spatial ...

Wenkai Liang, et al. ∙

research

∙ 04/21/2021

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

Graph neural networks (GNNs) have been demonstrated as a powerful tool f...

Houyi Li, et al. ∙

research

∙ 04/10/2021

Quantum Machine Learning for Power System Stability Assessment

Transient stability assessment (TSA), a cornerstone for resilient operat...

Yifan Zhou, et al. ∙

research

∙ 03/01/2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs

Graph representation learning aims to learn low-dimensional node embeddi...

Yukuo Cen, et al. ∙

research

∙ 02/10/2021

D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism

Coronavirus Disease 2019 (COVID-19) has caused great casualties and beco...

Xiangyu Zhao, et al. ∙

research

∙ 02/06/2021

Distributed and Asynchronous Operational Optimization of Networked Microgrids

Smart programmable microgrids (SPM) is an emerging technology for making...

Nima Nikmehr, et al. ∙

research

∙ 02/05/2021

Mutant reduction evaluation: what is there and what is missing?

Background. Many mutation reduction strategies, which aim to reduce the ...

Peng Zhang, et al. ∙

research

∙ 01/14/2021

Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use

In today's fast-paced world, stress has become a growing health concern....

Xianghua Ding, et al. ∙

research

∙ 01/13/2021

Neuro-Reachability of Networked Microgrids

A neural ordinary differential equations network (ODE-Net)-enabled reach...

Yifan Zhou, et al. ∙

research

∙ 12/22/2020

Residual Matrix Product State for Machine Learning

Tensor network (TN), which originates from quantum physics, shows broad ...

Ye-Ming Meng, et al. ∙

research

∙ 12/17/2020

Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

Most Visual Question Answering (VQA) models suffer from the language pri...

Xi Zhu, et al. ∙

research

∙ 12/15/2020

A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes

To handle different types of Many-Objective Optimization Problems (MaOPs...

Peng Zhang, et al. ∙

research

∙ 12/14/2020

COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

Expert finding, a popular service provided by many online websites such ...

Bo Chen, et al. ∙

research

∙ 11/29/2020

Audio-visual Speech Separation with Adversarially Disentangled Visual Representation

Speech separation aims to separate individual voice from an audio mixtur...

Peng Zhang, et al. ∙

Peng Zhang

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