b'Liang He'

research

∙ 05/31/2023

SPADA: A Toolbox of Designing Soft Pneumatic Actuators for Shape Matching based on the Surrogate Model

The actuation of a soft robot involves transforming its shape from an in...

0 Yao Yao, et al. ∙

research

∙ 05/21/2023

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Large language models have demonstrated remarkable performance across va...

0 Xiaotian Zhang, et al. ∙

research

∙ 04/18/2023

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation

Recently, making recommendations for ephemeral groups which contain dyna...

0 Guangze Ye, et al. ∙

research

∙ 03/23/2023

MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification

To benefit the complementary information between heterogeneous data, we ...

0 Bo Zhang, et al. ∙

research

∙ 03/21/2023

A Review on Machine Theory of Mind

Theory of Mind (ToM) is the ability to attribute mental states to others...

0 Yuanyuan Mao, et al. ∙

research

∙ 03/16/2023

Real-Time Decentralized Navigation of Nonholonomic Agents Using Shifted Yielding Areas

We present a lightweight, decentralized algorithm for navigating multipl...

0 Liang He, et al. ∙

research

∙ 03/07/2023

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

LiDAR-camera fusion methods have shown impressive performance in 3D obje...

0 Xin Li, et al. ∙

research

∙ 02/21/2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations

Gradient-based explanation methods play an important role in the field o...

0 Zhenxiao Cheng, et al. ∙

research

∙ 11/22/2022

OR-Gate: A Noisy Label Filtering Method for Speaker Verification

The deep learning models used for speaker verification are heavily depen...

0 Zhihua Fang, et al. ∙

research

∙ 11/02/2022

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation

Sequential Recommendation is a prominent topic in current research, whic...

0 Jiayi Chen, et al. ∙

research

∙ 10/18/2022

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

Multi-modal 3D object detection has been an active research topic in aut...

0 Xin Li, et al. ∙

research

∙ 10/12/2022

THUEE system description for NIST 2020 SRE CTS challenge

This paper presents the system description of the THUEE team for the NIS...

1 Yu Zheng, et al. ∙

research

∙ 09/22/2022

An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning

Unsupervised sentence embeddings learning has been recently dominated by...

0 Shaobin Chen, et al. ∙

research

∙ 08/27/2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck

Event argument extraction (EAE) aims to extract arguments with given rol...

0 Jie Zhou, et al. ∙

research

∙ 07/03/2022

A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition

Speech emotion recognition (SER) is an essential part of human-computer ...

0 Ying Hu, et al. ∙

research

∙ 06/21/2022

A Multi-grained based Attention Network for Semi-supervised Sound Event Detection

Sound event detection (SED) is an interesting but challenging task due t...

0 Ying Hu, et al. ∙

research

∙ 05/31/2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis

Structured sentiment analysis, which aims to extract the complex semanti...

0 Qi Zhang, et al. ∙

research

∙ 05/31/2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments

Previous studies about event-level sentiment analysis (SA) usually model...

0 Qi Zhang, et al. ∙

research

∙ 05/01/2022

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction

Implicit event argument extraction (EAE) aims to identify arguments that...

0 Jiaju Lin, et al. ∙

research

∙ 04/22/2022

DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation

Recent years have witnessed the progress of sequential recommendation in...

0 Jiayi Chen, et al. ∙

research

∙ 03/29/2022

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Visual grounding focuses on establishing fine-grained alignment between ...

0 Jiabo Ye, et al. ∙

research

∙ 01/25/2022

Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis

Nowadays, with the explosive growth of multimodal reviews on social medi...

0 Luwei Xiao, et al. ∙

research

∙ 01/24/2022

Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide

The document layout analysis (DLA) aims to decompose document images int...

0 Xingjiao Wu, et al. ∙

research

∙ 12/05/2021

Long-Tail Session-based Recommendation from Calibration

Accurate prediction in session-based recommendation has achieved progres...

0 Jiayi Chen, et al. ∙

research

∙ 10/29/2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model

Understanding protein sequences is vital and urgent for biology, healthc...

0 Liang He, et al. ∙

research

∙ 10/14/2021

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

The identification of active binding drugs for target proteins (termed a...

12 Siyuan Liu, et al. ∙

research

∙ 10/07/2021

Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network

Inferring the substitutable and complementary products for a given produ...

0 Zijing Yang, et al. ∙

research

∙ 10/04/2021

Design and Characterization of a 3D-printed Pneumatically-driven Bistable Valve with Tunable Characteristics

Although research studies in pneumatic soft robots develop rapidly, most...

0 Sihan Wang, et al. ∙

research

∙ 08/04/2021

Human-In-The-Loop Document Layout Analysis

Document layout analysis (DLA) aims to divide a document image into diff...

0 Xingjiao Wu, et al. ∙

research

∙ 08/02/2021

A Survey of Human-in-the-loop for Machine Learning

Human-in-the-loop aims to train an accurate prediction model with minimu...

0 Xingjiao Wu, et al. ∙

research

∙ 04/07/2021

Document Layout Analysis via Dynamic Residual Feature Fusion

The document layout analysis (DLA) aims to split the document image into...

0 Xingjiao Wu, et al. ∙

research

∙ 08/04/2020

Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring

Cross-prompt automated essay scoring (AES) requires the system to use no...

10 Robert Ridley, et al. ∙

research

∙ 07/28/2020

ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation

This paper describes our system for SemEval-2020 Task 4: Commonsense Val...

0 Qian Zhao, et al. ∙

research

∙ 05/02/2020

SEEK: Segmented Embedding of Knowledge Graphs

In recent years, knowledge graph embedding becomes a pretty hot research...

8 Wentao Xu, et al. ∙

research

∙ 02/27/2020

Efficient Multi-Agent Motion Planning in Continuous Workspaces Using Medial-Axis-Based Swap Graphs

We present an algorithm for homogeneous, labeled, and disk-shaped multi-...

0 Liang He, et al. ∙

research

∙ 02/16/2020

A Real-Time Deep Network for Crowd Counting

Automatic analysis of highly crowded people has attracted extensive atte...

7 Xiaowen Shi, et al. ∙

research

∙ 12/25/2019

THUEE system description for NIST 2019 SRE CTS Challenge

This paper describes the systems submitted by the department of electron...

0 YI LIU, et al. ∙

research

∙ 11/25/2019

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

The accuracy of OCR is usually affected by the quality of the input docu...

17 Zhichao Fu, et al. ∙

research

∙ 11/15/2019

Adaptive Multi-scale Detection of Acoustic Events

The goal of acoustic (or sound) events detection (AED or SED) is to pred...

0 Wenhao Ding, et al. ∙

research

∙ 11/04/2019

Scene Text Recognition with Temporal Convolutional Encoder

Texts from scene images typically consist of several characters and exhi...

0 Xiangcheng Du, et al. ∙

research

∙ 07/04/2019

Edge-Aware Deep Image Deblurring

Image deblurring is a fundamental and challenging low-level vision probl...

2 Zhichao Fu, et al. ∙

research

∙ 07/04/2019

Video Crowd Counting via Dynamic Temporal Modeling

Crowd counting aims to count the number of instantaneous people in a cro...

3 Xingjiao Wu, et al. ∙

research

∙ 04/06/2019

Large Margin Softmax Loss for Speaker Verification

In neural network based speaker verification, speaker embedding is expec...

0 YI LIU, et al. ∙

research

∙ 03/29/2019

Multi-Scale Time-Frequency Attention for Rare Sound Event Detection

Attention mechanism has been widely applied to various sound-related tas...

0 Jingyang Zhang, et al. ∙

research

∙ 12/06/2018

Adaptive Scenario Discovery for Crowd Counting

Crowd counting, i.e., estimation number of pedestrian in crowd images, i...

0 Xingjiao Wu, et al. ∙

research

∙ 08/25/2018

Multiobjective Optimization Training of PLDA for Speaker Verification

Most current state-of-the-art text-independent speaker verification syst...

0 Liang He, et al. ∙

research

∙ 08/21/2018

Exploring a Unified Attention-Based Pooling Framework for Speaker Verification

The pooling layer is an essential component in the neural network based ...

0 YI LIU, et al. ∙

research

∙ 04/13/2018

Speaker Embedding Extraction with Phonetic Information

Speaker embeddings achieve promising results on many speaker verificatio...

0 YI LIU, et al. ∙

research

∙ 04/13/2018

Precise Temporal Action Localization by Evolving Temporal Proposals

Locating actions in long untrimmed videos has been a challenging problem...

0 Haonan Qiu, et al. ∙

research

∙ 03/24/2018

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

In this paper, we propose an enhanced triplet method that improves the e...

0 Wenhao Ding, et al. ∙

Liang He

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