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08/09/2023
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling
Video Semantic Role Labeling (VidSRL) aims to detect the salient events ...
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08/08/2023
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition
It has been a hot research topic to enable machines to understand human ...
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07/29/2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
Immune repertoire classification, a typical multiple instance learning (...
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06/20/2023
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation
Session-based Recommendation (SR) aims to predict users' next click base...
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06/15/2023
Learning from Local Experience: Informed Sampling Distributions for High Dimensional Motion Planning
This paper presents a sampling-based motion planning framework that leve...
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05/23/2023
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation
Non-parametric, k-nearest-neighbor algorithms have recently made inroads...
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05/19/2023
Generating Visual Spatial Description via Holistic 3D Scene Understanding
Visual spatial description (VSD) aims to generate texts that describe th...
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05/19/2023
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Entity Alignment (EA) aims to find the equivalent entities between two K...
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03/14/2023
Diffusion Models in NLP: A Survey
Diffusion models have become a powerful family of deep generative models...
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02/07/2023
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective
We study the problem of optimizing a recommender system for outcomes tha...
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01/19/2023
Causal conditional hidden Markov model for multimodal traffic prediction
Multimodal traffic flow can reflect the health of the transportation sys...
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01/19/2023
Spatio-temporal neural structural causal models for bike flow prediction
As a representative of public transportation, the fundamental issue of m...
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01/18/2023
Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning
As part of the process of resolving issues submitted by users via bug re...
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01/12/2023
An approximation to peak detection power using Gaussian random field theory
We study power approximation formulas for peak detection using Gaussian ...
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12/17/2022
Graph Learning: A Comprehensive Survey and Future Directions
Graph learning aims to learn complex relationships among nodes and the t...
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11/28/2022
A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications
Enterprise financial risk analysis aims at predicting the enterprises' f...
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11/16/2022
TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task
This paper describes the joint submission of Alibaba and Soochow Univers...
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11/16/2022
Learning with Noisy Labels over Imbalanced Subpopulations
Learning with Noisy Labels (LNL) has attracted significant attention fro...
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11/14/2022
Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation
Fully machine translation scarcely guarantees error-free results. Humans...
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10/30/2022
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Access to external knowledge is essential for many natural language proc...
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10/20/2022
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation
Image-to-text tasks, such as open-ended image captioning and controllabl...
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10/17/2022
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
Multimodal knowledge graph completion (MKGC) aims to predict missing ent...
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10/12/2022
DinoDroid: Testing Android Apps Using Deep Q-Networks
The large demand of mobile devices creates significant concerns about th...
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09/18/2022
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
Despite the great progress of Visual Question Answering (VQA), current V...
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08/14/2022
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification
The rapid on-site evaluation (ROSE) technique can signifi-cantly acceler...
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08/02/2022
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing
Vehicular edge computing (VEC) is a promising technology to support real...
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08/02/2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
The vehicular edge computing (VEC) can cache contents in different RSUs ...
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07/05/2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
Whole slide image (WSI) classification often relies on deep weakly super...
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01/11/2022
Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
Stock Movement Prediction (SMP) aims at predicting listed companies' sto...
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12/30/2021
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Quality Estimation, as a crucial step of quality control for machine tra...
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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...
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12/24/2021
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning
Bi-typed heterogeneous graphs are applied in many real-world scenarios. ...
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12/14/2021
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
Human-Object Interaction (HOI) detection is a fundamental task in high-l...
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12/04/2021
Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method
The recurrence rebuild and retrieval method (R3M) is proposed in this pa...
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10/29/2021
Deep Keyphrase Completion
Keyphrase provides accurate information of document content that is high...
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09/15/2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Quality Estimation (QE) plays an essential role in applications of Machi...
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03/08/2021
End-to-End Human Object Interaction Detection with HOI Transformer
We propose HOI Transformer to tackle human object interaction (HOI) dete...
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10/28/2020
Differentiable Channel Pruning Search
In this paper, we propose the differentiable channel pruning search (DCP...
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09/19/2020
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
With the advent of neural machine translation, there has been a marked s...
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09/03/2020
Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach
In this paper, both the fixed-time distributed consensus tracking and th...
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07/21/2020
Connecting Embeddings for Knowledge Graph Entity Typing
Knowledge graph (KG) entity typing aims at inferring possible missing en...
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06/30/2020
A unified structure preserving scheme for a multi-species model with a gradient flow structure and nonlocal interactions via singular kernels
In this paper, we consider a nonlinear and nonlocal parabolic model for ...
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12/19/2019
Field model for complex ionic fluids: analytical properties and numerical investigation
In this paper, we consider the field model for complex ionic fluids with...
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12/19/2019
Field model for complex ionic fluids
In this paper, we consider the field model for complex ionic fluids with...
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12/08/2019
Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
We propose an end-to-end model to predict drug-drug interactions (DDIs) ...
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11/18/2019
Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
Group sparse representation (GSR) based method has led to great successe...
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05/15/2019
SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning
Bullet-screen is a technique that enables the website users to send real...
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02/18/2019
SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement
Knowledge graph (KG) refinement mainly aims at KG completion and correct...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/22/2018