b'Qiang Zhang'

research

∙ 04/22/2022

Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem

We introduce the task of implicit offensive text detection in dialogues,...

Qiang Zhang, et al. ∙

research

∙ 04/18/2022

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts

Inferring spatial relations in natural language is a crucial ability an ...

Zhengxiang Shi, et al. ∙

research

∙ 04/14/2022

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

Dialogue State Tracking (DST) aims to keep track of users' intentions du...

Yue Feng, et al. ∙

research

∙ 03/29/2022

Hybrid Routing Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...

De Cheng, et al. ∙

research

∙ 03/07/2022

Deep Reinforcement Learning for Entity Alignment

Embedding-based methods have attracted increasing attention in recent en...

Lingbing Guo, et al. ∙

research

∙ 02/18/2022

Unleashing the Power of Transformer for Graphs

Despite recent successes in natural language processing and computer vis...

Lingbing Guo, et al. ∙

research

∙ 02/17/2022

Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer

Machine learning, especially deep learning, has greatly advanced molecul...

Yin Fang, et al. ∙

research

∙ 02/07/2022

Prompt-Guided Injection of Conformation to Pre-trained Protein Model

Pre-trained protein models (PTPMs) represent a protein with one fixed em...

Qiang Zhang, et al. ∙

research

∙ 01/23/2022

OntoProtein: Protein Pretraining With Gene Ontology Embedding

Self-supervised protein language models have proved their effectiveness ...

Ningyu Zhang, et al. ∙

research

∙ 01/11/2022

On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

Visible-infrared person re-identification (VI-ReID) has been challenging...

Yunqi Miao, et al. ∙

research

∙ 01/07/2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Recent advances in machine learning and prevalence of digital medical im...

Dingwen Zhang, et al. ∙

research

∙ 12/01/2021

Molecular Contrastive Learning with Chemical Element Knowledge Graph

Molecular representation learning contributes to multiple downstream tas...

Yin Fang, et al. ∙

research

∙ 10/04/2021

3D-Transformer: Molecular Representation with Transformer in 3D Space

Spatial structures in the 3D space are important to determine molecular ...

Fang Wu, et al. ∙

research

∙ 09/09/2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing

Tactile sensing is critical for humans to perform everyday tasks. While ...

Qiang Zhang, et al. ∙

research

∙ 04/23/2021

Middle-level Fusion for Lightweight RGB-D Salient Object Detection

Most existing RGB-D salient object detection (SOD) models require large ...

Nianchang Huang, et al. ∙

research

∙ 04/23/2021

Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

Most existing cross-modality person re-identification works rely on disc...

Nianchang Huang, et al. ∙

research

∙ 03/31/2021

Smart Scribbles for Image Mating

Image matting is an ill-posed problem that usually requires additional u...

Xin Yang, et al. ∙

research

∙ 03/29/2021

Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

Onfocus detection aims at identifying whether the focus of the individua...

Dingwen Zhang, et al. ∙

research

∙ 03/11/2021

Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources

Air pollution has altered the Earth radiation balance, disturbed the eco...

Guannan Geng, et al. ∙

research

∙ 03/06/2021

Factorization of the Loewner matrix pencil and its consequences

This paper starts by deriving a factorization of the Loewner matrix penc...

Qiang Zhang, et al. ∙

research

∙ 02/18/2021

Densely Nested Top-Down Flows for Salient Object Detection

With the goal of identifying pixel-wise salient object regions from each...

Chaowei Fang, et al. ∙

research

∙ 01/26/2021

Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation

In this paper, we propose a fully automatic system for generating comic ...

Xin Yang, et al. ∙

research

∙ 01/22/2021

Slot Self-Attentive Dialogue State Tracking

An indispensable component in task-oriented dialogue systems is the dial...

Fanghua Ye, et al. ∙

research

∙ 01/07/2021

Multi-scale Information Assembly for Image Matting

Image matting is a long-standing problem in computer graphics and vision...

Yu Qiao, et al. ∙

research

∙ 08/13/2020

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

We present a novel method for testing the safety of self-driving vehicle...

Kelvin Wong, et al. ∙

research

∙ 05/29/2020

SNR-based teachers-student technique for speech enhancement

It is very challenging for speech enhancement methods to achieves robust...

Xiang Hao, et al. ∙

research

∙ 08/23/2019

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

Recently, single-image super-resolution has made great progress owing to...

Xin Yang, et al. ∙

research

∙ 07/17/2019

Self-Attentive Hawkes Processes

Asynchronous events on the continuous time domain, e.g., social media ac...

Qiang Zhang, et al. ∙

research

∙ 05/29/2019

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets

In this paper, we propose a new sampler for Bayesian learning that can e...

Rui Luo, et al. ∙

research

∙ 05/10/2019

DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering

In this paper, we present DEMC, a deep Dual-Encoder network to remove Mo...

Xin Yang, et al. ∙

research

∙ 04/06/2019

Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling

Geometric deep learning is increasingly important thanks to the populari...

Jiancheng Yang, et al. ∙

research

∙ 04/03/2019

Learning Context Graph for Person Search

Person re-identification has achieved great progress with deep convoluti...

Yichao Yan, et al. ∙

research

∙ 04/02/2019

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

Removing rain streaks from a single image has been drawing considerable ...

Tianyu Wang, et al. ∙

research

∙ 02/28/2019

Adversarial Attack and Defense on Point Sets

Emergence of the utility of 3D point cloud data in critical vision tasks...

Jiancheng Yang, et al. ∙

research

∙ 02/17/2019

Experimental Twin-Field Quantum Key Distribution Through Sending-or-Not-Sending

Channel loss seems to be the most severe limitation to the application l...

Yang Liu, et al. ∙

research

∙ 12/30/2018

Variational Self-attention Model for Sentence Representation

This paper proposes a variational self-attention model (VSAM) that emplo...

Qiang Zhang, et al. ∙

research

∙ 12/05/2018

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding

Automatic text classification (TC) research can be used for real-world p...

Ying Shen, et al. ∙

research

∙ 12/05/2018

MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs

We present MedSim, a novel semantic SIMilarity method based on public we...

Kai Lei, et al. ∙

research

∙ 12/04/2018

Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling

We propose a new sampler that integrates the protocol of parallel temper...

Rui Luo, et al. ∙

research

∙ 11/08/2018

Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series

Volatility is a quantity of measurement for the price movements of stock...

Qiang Zhang, et al. ∙

research

∙ 10/01/2018

Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network

The existence of hybrid noise in hyperspectral images (HSIs) severely de...

Qiang Zhang, et al. ∙

research

∙ 08/05/2018

α-Ball divergence and its applications to change-point problems for Banach-valued sequences

In this paper, we extend a measure of divergence between two distributio...

Qiang Zhang, et al. ∙

research

∙ 06/01/2018

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...

Qiangqiang Yuan, et al. ∙

research

∙ 05/08/2018

Active Object Reconstruction Using a Guided View Planner

Inspired by the recent advance of image-based object reconstruction usin...

Xin Yang, et al. ∙

research

∙ 04/12/2018

Image Correction via Deep Reciprocating HDR Transformation

Image correction aims to adjust an input image into a visually pleasing ...

Xin Yang, et al. ∙

research

∙ 03/03/2018

An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning

Researches have shown difficulties in obtaining proximity while maintain...

Hongwei Ge, et al. ∙

research

∙ 02/23/2018

Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

Because of the internal malfunction of satellite sensors and poor atmosp...

Qiang Zhang, et al. ∙

research

∙ 09/09/2017

Learning a Dilated Residual Network for SAR Image Despeckling

In this letter, to break the limit of the traditional linear models for ...

Qiang Zhang, et al. ∙

research

∙ 06/27/2017

Strategyproof Mechanisms for Additively Separable Hedonic Games and Fractional Hedonic Games

Additively separable hedonic games and fractional hedonic games have rec...

Michele Flammini, et al. ∙

research

∙ 03/24/2015

Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector

Visual saliency, which predicts regions in the field of view that draw t...

Qiang Zhang, et al. ∙

Qiang Zhang

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