b'Yu Zhao'

research

∙ 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 ...

0 Yu Zhao, et al. ∙

research

∙ 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 ...

0 Bobo Li, et al. ∙

research

∙ 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 (...

0 Mingcai Chen, et al. ∙

research

∙ 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...

0 Kai Ouyang, et al. ∙

research

∙ 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...

0 Keita Kobashi, et al. ∙

research

∙ 05/23/2023

Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation

Non-parametric, k-nearest-neighbor algorithms have recently made inroads...

0 Jiayi Wang, et al. ∙

research

∙ 05/19/2023

Generating Visual Spatial Description via Holistic 3D Scene Understanding

Visual spatial description (VSD) aims to generate texts that describe th...

0 Yu Zhao, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 03/14/2023

Diffusion Models in NLP: A Survey

Diffusion models have become a powerful family of deep generative models...

0 Yuansong Zhu, et al. ∙

research

∙ 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...

0 Lucas Maystre, et al. ∙

research

∙ 01/19/2023

Causal conditional hidden Markov model for multimodal traffic prediction

Multimodal traffic flow can reflect the health of the transportation sys...

0 Yu Zhao, et al. ∙

research

∙ 01/19/2023

Spatio-temporal neural structural causal models for bike flow prediction

As a representative of public transportation, the fundamental issue of m...

0 Pan Deng, et al. ∙

research

∙ 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...

0 Zhaoxu Zhang, et al. ∙

research

∙ 01/12/2023

An approximation to peak detection power using Gaussian random field theory

We study power approximation formulas for peak detection using Gaussian ...

0 Yu Zhao, et al. ∙

research

∙ 12/17/2022

Graph Learning: A Comprehensive Survey and Future Directions

Graph learning aims to learn complex relationships among nodes and the t...

0 Shaopeng Wei, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 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...

0 Xin Ge, et al. ∙

research

∙ 11/16/2022

Learning with Noisy Labels over Imbalanced Subpopulations

Learning with Noisy Labels (LNL) has attracted significant attention fro...

0 Mingcai Chen, et al. ∙

research

∙ 11/14/2022

Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation

Fully machine translation scarcely guarantees error-free results. Humans...

0 Ke Wang, et al. ∙

research

∙ 10/30/2022

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks

Access to external knowledge is essential for many natural language proc...

0 Yuxiang WU, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 10/17/2022

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion

Multimodal knowledge graph completion (MKGC) aims to predict missing ent...

0 Yu Zhao, et al. ∙

research

∙ 10/12/2022

DinoDroid: Testing Android Apps Using Deep Q-Networks

The large demand of mobile devices creates significant concerns about th...

0 Yu Zhao, et al. ∙

research

∙ 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...

0 Yike Wu, et al. ∙

research

∙ 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...

0 Tianyi Zhang, et al. ∙

research

∙ 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...

0 Wenhua Wang, et al. ∙

research

∙ 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 ...

0 Qiong Wu, et al. ∙

research

∙ 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...

0 Jiawei Yang, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 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...

1 Jiayi Wang, et al. ∙

research

∙ 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...

8 Tianyi Zhang, et al. ∙

research

∙ 12/24/2021

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning

Bi-typed heterogeneous graphs are applied in many real-world scenarios. ...

16 Yu Zhao, et al. ∙

research

∙ 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...

0 Zhimin Li, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 10/29/2021

Deep Keyphrase Completion

Keyphrase provides accurate information of document content that is high...

0 Yu Zhao, et al. ∙

research

∙ 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...

7 Ke Wang, et al. ∙

research

∙ 03/08/2021

End-to-End Human Object Interaction Detection with HOI Transformer

We propose HOI Transformer to tackle human object interaction (HOI) dete...

0 Cheng Zou, et al. ∙

research

∙ 10/28/2020

Differentiable Channel Pruning Search

In this paper, we propose the differentiable channel pruning search (DCP...

0 Yu Zhao, et al. ∙

research

∙ 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...

6 Jiayi Wang, et al. ∙

research

∙ 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...

0 Qiang Chen, et al. ∙

research

∙ 07/21/2020

Connecting Embeddings for Knowledge Graph Entity Typing

Knowledge graph (KG) entity typing aims at inferring possible missing en...

0 Yu Zhao, et al. ∙

research

∙ 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 ...

0 Yong Zhang, et al. ∙

research

∙ 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...

0 Jian-Guo Liu, et al. ∙

research

∙ 12/19/2019

Field model for complex ionic fluids

In this paper, we consider the field model for complex ionic fluids with...

0 Jian-Guo Liu, et al. ∙

research

∙ 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) ...

0 Yi Zhong, et al. ∙

research

∙ 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...

0 Yunyi Li, et al. ∙

research

∙ 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...

0 Haoran Niu, et al. ∙

research

∙ 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...

0 Yu Zhao, et al. ∙

research

∙ 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...

0 Spyridon Bakas, et al. ∙

research

∙ 10/22/2018

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function

For many segmentation tasks, especially for the biomedical image, the to...

0 Xiaobin Hu, et al. ∙

Yu Zhao

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