research
∙
08/21/2023
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models
Detecting stereotypes and biases in Large Language Models (LLMs) can enh...
share
research
∙
08/17/2023
Graph Neural Network Backend for Speaker Recognition
Currently, most speaker recognition backends, such as cosine, linear dis...
research
∙
08/12/2023
3D Printing Magnetophoretic Displays
We present a pipeline for printing interactive and always-on magnetophor...
research
∙
08/05/2023
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)...
research
∙
07/08/2023
Is ChatGPT a Good Personality Recognizer? A Preliminary Study
In recent years, personality has been regarded as a valuable personal fa...
research
∙
06/09/2023
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Existing offboard 3D detectors always follow a modular pipeline design t...
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...
research
∙
05/21/2023
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
Large language models have demonstrated remarkable performance across va...
research
∙
04/18/2023
PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation
Recently, making recommendations for ephemeral groups which contain dyna...
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 ...
research
∙
03/21/2023
A Review on Machine Theory of Mind
Theory of Mind (ToM) is the ability to attribute mental states to others...
research
∙
03/16/2023
Real-Time Decentralized Navigation of Nonholonomic Agents Using Shifted Yielding Areas
We present a lightweight, decentralized algorithm for navigating multipl...
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...
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...
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...
research
∙
11/02/2022
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation
Sequential Recommendation is a prominent topic in current research, whic...
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...
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...
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...
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...
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 ...
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...
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...
research
∙
05/31/2022
Enhancing Event-Level Sentiment Analysis with Structured Arguments
Previous studies about event-level sentiment analysis (SA) usually model...
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...
research
∙
04/22/2022
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation
Recent years have witnessed the progress of sequential recommendation in...
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 ...
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...
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...
research
∙
12/05/2021
Long-Tail Session-based Recommendation from Calibration
Accurate prediction in session-based recommendation has achieved progres...
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...
research
∙
10/14/2021
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
The identification of active binding drugs for target proteins (termed a...
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...
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...
research
∙
08/04/2021
Human-In-The-Loop Document Layout Analysis
Document layout analysis (DLA) aims to divide a document image into diff...
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...
research
∙
04/07/2021
Document Layout Analysis via Dynamic Residual Feature Fusion
The document layout analysis (DLA) aims to split the document image into...
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...
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...
research
∙
05/02/2020
SEEK: Segmented Embedding of Knowledge Graphs
In recent years, knowledge graph embedding becomes a pretty hot research...
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-...
research
∙
02/16/2020
A Real-Time Deep Network for Crowd Counting
Automatic analysis of highly crowded people has attracted extensive atte...
research
∙
12/25/2019
THUEE system description for NIST 2019 SRE CTS Challenge
This paper describes the systems submitted by the department of electron...
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...
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...
research
∙
11/04/2019
Scene Text Recognition with Temporal Convolutional Encoder
Texts from scene images typically consist of several characters and exhi...
research
∙
07/04/2019
Edge-Aware Deep Image Deblurring
Image deblurring is a fundamental and challenging low-level vision probl...
research
∙
07/04/2019
Video Crowd Counting via Dynamic Temporal Modeling
Crowd counting aims to count the number of instantaneous people in a cro...
research
∙
04/06/2019
Large Margin Softmax Loss for Speaker Verification
In neural network based speaker verification, speaker embedding is expec...
research
∙
03/29/2019