b'Jing Li'

research

∙ 06/06/2022

An inverse random source problem for the Helium production-diffusion equation driven by a fractional Brownian motion

In this paper, we consider the prediction of the helium concentrations a...

Jing Li, et al. ∙

research

∙ 05/18/2022

Mobility Support for Millimeter Wave Communications: Opportunities and Challenges

Millimeter-wave (mmWave) communication technology offers a potential and...

Jing Li, et al. ∙

research

∙ 05/18/2022

Attention-based Multimodal Feature Representation Model for Micro-video Recommendation

In recommender systems, models mostly use a combination of embedding lay...

Mohan Hasama, et al. ∙

research

∙ 05/01/2022

The Cross-lingual Conversation Summarization Challenge

We propose the shared task of cross-lingual conversation summarization, ...

Yulong Chen, et al. ∙

research

∙ 04/30/2022

A Survey of Machine Narrative Reading Comprehension Assessments

As the body of research on machine narrative comprehension grows, there ...

Yisi Sang, et al. ∙

research

∙ 04/21/2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification

Due to its safety-critical property, the image-based diagnosis is desire...

Churan Wang, et al. ∙

research

∙ 04/20/2022

Analyzing the Intensity of Complaints on Social Media

Complaining is a speech act that expresses a negative inconsistency betw...

Ming Fang, et al. ∙

research

∙ 04/18/2022

Saliency in Augmented Reality

With the rapid development of multimedia technology, Augmented Reality (...

Huiyu Duan, et al. ∙

research

∙ 04/16/2022

TVShowGuess: Character Comprehension in Stories as Speaker Guessing

We propose a new task for assessing machines' skills of understanding fi...

Yisi Sang, et al. ∙

research

∙ 04/08/2022

Multi-scale temporal network for continuous sign language recognition

Continuous Sign Language Recognition (CSLR) is a challenging research ta...

Qidan Zhu, et al. ∙

research

∙ 03/06/2022

Doctor Recommendation in Online Health Forums via Expertise Learning

Huge volumes of patient queries are daily generated on online health for...

Xiaoxin Lu, et al. ∙

research

∙ 02/14/2022

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap

Oriented object detection is a crucial task in computer vision. Current ...

Beihang Song, et al. ∙

research

∙ 02/11/2022

Adversarial Attacks and Defense Methods for Power Quality Recognition

Vulnerability of various machine learning methods to adversarial example...

Jiwei Tian, et al. ∙

research

∙ 02/02/2022

Decoupled IoU Regression for Object Detection

Non-maximum suppression (NMS) is widely used in object detection pipelin...

Yan Gao, et al. ∙

research

∙ 01/28/2022

Rethinking Attention-Model Explainability through Faithfulness Violation Test

Attention mechanisms are dominating the explainability of deep models. T...

Yibing Liu, et al. ∙

research

∙ 01/07/2022

A Multi-Behavior Planning Framework for Robot Guide

The guiding task of a mobile robot requires not only human-aware navigat...

Muhan Hou, et al. ∙

research

∙ 12/17/2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

This work presents a simple vision transformer design as a strong baseli...

Wuyang Chen, et al. ∙

research

∙ 12/15/2021

Taming Overconfident Prediction on Unlabeled Data from Hindsight

Minimizing prediction uncertainty on unlabeled data is a key factor to a...

Jing Li, et al. ∙

research

∙ 12/15/2021

Solving the Data Sparsity Problem in Predicting the Success of the Startups with Machine Learning Methods

Predicting the success of startup companies is of great importance for b...

Dafei Yin, et al. ∙

research

∙ 12/15/2021

SPTS: Single-Point Text Spotting

Almost all scene text spotting (detection and recognition) methods rely ...

Dezhi Peng, et al. ∙

research

∙ 10/22/2021

CTP-Net For Cross-Domain Trajectory Prediction

Deep learning based trajectory prediction methods rely on large amount o...

Pingxuan Huang, et al. ∙

research

∙ 10/16/2021

EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks

Encoder-decoder transformer architectures have become popular recently w...

Frederick Liu, et al. ∙

research

∙ 10/05/2021

Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images

Anomaly detection in medical images refers to the identification of abno...

Kang Zhou, et al. ∙

research

∙ 09/03/2021

Revisiting 3D ResNets for Video Recognition

A recent work from Bello shows that training and scaling strategies may ...

Xianzhi Du, et al. ∙

research

∙ 08/15/2021

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

Generating conversational gestures from speech audio is challenging due ...

Jing Li, et al. ∙

research

∙ 07/23/2021

OLR 2021 Challenge: Datasets, Rules and Baselines

This paper introduces the sixth Oriental Language Recognition (OLR) 2021...

Binling Wang, et al. ∙

research

∙ 07/05/2021

Oriental Language Recognition (OLR) 2020: Summary and Analysis

The fifth Oriental Language Recognition (OLR) Challenge focuses on langu...

Jing Li, et al. ∙

research

∙ 06/30/2021

An Integrated Framework for Two-pass Personalized Voice Trigger

In this paper, we present the XMUSPEECH system for Task 1 of 2020 Person...

Dexin Liao, et al. ∙

research

∙ 06/18/2021

Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations

Quotations are crucial for successful explanations and persuasions in in...

Lingzhi Wang, et al. ∙

research

∙ 04/17/2021

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure

Numerous online conversations are produced on a daily basis, resulting i...

Lu Ji, et al. ∙

research

∙ 03/30/2021

Causal Hidden Markov Model for Time Series Disease Forecasting

We propose a causal hidden Markov model to achieve robust prediction of ...

Jing Li, et al. ∙

research

∙ 03/23/2021

Dilated SpineNet for Semantic Segmentation

Scale-permuted networks have shown promising results on object bounding ...

Abdullah Rashwan, et al. ∙

research

∙ 01/25/2021

RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization

Many emerging cyber-physical systems, such as autonomous vehicles and ro...

An Zou, et al. ∙

research

∙ 12/21/2020

Disease Forecast via Progression Learning

Forecasting Parapapillary atrophy (PPA), i.e., a symptom related to most...

Botong Wu, et al. ∙

research

∙ 12/09/2020

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks

Recently, heatmap regression has been widely explored in facial landmark...

Jun Wan, et al. ∙

research

∙ 11/28/2020

Close Latency–Security Trade-off for the Nakamoto Consensus

Bitcoin is a peer-to-peer electronic cash system invented by Nakamoto in...

Jing Li, et al. ∙

research

∙ 11/03/2020

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings

Social media produces large amounts of contents every day. To help users...

Yue Wang, et al. ∙

research

∙ 10/01/2020

Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy

The development of rigorous quality assessment model relies on the colle...

Suiyi Ling, et al. ∙

research

∙ 09/30/2020

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Mammogram benign or malignant classification with only image-level label...

Chu-ran Wang, et al. ∙

research

∙ 09/25/2020

Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination

A growing specter in the rise of machine learning is whether the decisio...

Tao Zhang, et al. ∙

research

∙ 09/14/2020

Fairness Constraints in Semi-supervised Learning

Fairness in machine learning has received considerable attention. Howeve...

Tao Zhang, et al. ∙

research

∙ 08/03/2020

LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark

In this paper, we present a Large-Scale and high-diversity general Therm...

Qiao Liu, et al. ∙

research

∙ 04/16/2020

A Resource Allocation and Coordinated Transmission Scheme for Large Cellular Networks

With the increasing number of user equipment (UE) and data demands, dens...

Jing Li, et al. ∙

research

∙ 03/31/2020

High-order numerical methods for the Riesz space fractional advection-dispersion equations

In this paper, we propose high-order numerical methods for the Riesz spa...

Libo Feng, et al. ∙

research

∙ 03/30/2020

Secure Metric Learning via Differential Pairwise Privacy

Distance Metric Learning (DML) has drawn much attention over the last tw...

Jing Li, et al. ∙

research

∙ 03/02/2020

UFTR: A Unified Framework for Ticket Routing

Corporations today face increasing demands for the timely and effective ...

Jianglei Han, et al. ∙

research

∙ 03/01/2020

GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling

In the big data era, data labeling can be obtained through crowdsourcing...

Jing Li, et al. ∙

research

∙ 02/10/2020

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process

In our world with full of uncertainty, debates and argumentation contrib...

Jichuan Zeng, et al. ∙

research

∙ 02/03/2020

Deep Learning for Highly Accelerated Diffusion Tensor Imaging

Diffusion tensor imaging (DTI) is widely used to examine the human brain...

Hongyu Li, et al. ∙

research

∙ 01/16/2020

Continuous-Time Analysis of the Bitcoin and Prism Backbone Protocols

Bitcoin is a peer-to-peer payment system proposed by Nakamoto in 2008. B...

Jing Li, et al. ∙

Jing Li

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