Singapore Management University

research

∙ 09/26/2019

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

An important aspect of health monitoring is effective logging of food co...

Doyen Sahoo, et al. ∙

research

∙ 05/03/2019

Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

Food computing is playing an increasingly important role in human daily ...

Hao Wang, et al. ∙

research

∙ 02/27/2020

Visual Commonsense R-CNN

We present a novel unsupervised feature representation learning method, ...

Tan Wang, et al. ∙

research

∙ 08/10/2019

Recent Advances in Deep Learning for Object Detection

Object detection is a fundamental visual recognition problem in computer...

Xiongwei Wu, et al. ∙

research

∙ 03/16/2021

A Survey on Predicting the Factuality and the Bias of News Media

The present level of proliferation of fake, biased, and propagandistic c...

Preslav Nakov, et al. ∙

research

∙ 07/18/2020

Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...

Dong Zhang, et al. ∙

research

∙ 11/05/2020

Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN

We present an invert-and-edit framework to automatically transform facia...

V N S Rama Krishna Pinnimty, et al. ∙

research

∙ 03/09/2020

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

Cross-modal food retrieval is an important task to perform analysis of f...

Hao Wang, et al. ∙

research

∙ 07/27/2020

Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images

Recipe generation from food images and ingredients is a challenging task...

Hao Wang, et al. ∙

research

∙ 05/17/2020

Multi-View Collaborative Network Embedding

Real-world networks often exist with multiple views, where each view des...

Sezin Kircali Ata, et al. ∙

research

∙ 08/14/2021

Cross-Modal Graph with Meta Concepts for Video Captioning

Video captioning targets interpreting the complex visual contents as tex...

Hao Wang, et al. ∙

research

∙ 10/07/2019

Meta-Transfer Learning through Hard Tasks

Meta-learning has been proposed as a framework to address the challengin...

Qianru Sun, et al. ∙

research

∙ 10/04/2021

Learning Structural Representations for Recipe Generation and Food Retrieval

Food is significant to human daily life. In this paper, we are intereste...

Hao Wang, et al. ∙

research

∙ 01/13/2022

Interactive Data Analysis with Next-step Natural Language Query Recommendation

Natural language interfaces (NLIs) provide users with a convenient way t...

Xingbo Wang, et al. ∙

research

∙ 11/20/2019

Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning

Large-scale screening for potential threats with limited resources and c...

Sanket Shah, et al. ∙

research

∙ 06/12/2020

Reinforced Data Sampling for Model Diversification

With the rising number of machine learning competitions, the world has w...

Hoang D. Nguyen, et al. ∙

research

∙ 08/03/2021

Cycle-Consistent Inverse GAN for Text-to-Image Synthesis

This paper investigates an open research task of text-to-image synthesis...

Hao Wang, et al. ∙

research

∙ 12/17/2018

Robust Graph Learning from Noisy Data

Learning graphs from data automatically has shown encouraging performanc...

Zhao Kang, et al. ∙

research

∙ 07/18/2021

DeHumor: Visual Analytics for Decomposing Humor

Despite being a critical communication skill, grasping humor is challeng...

Xingbo Wang, et al. ∙

research

∙ 01/11/2022

Condensing a Sequence to One Informative Frame for Video Recognition

Video is complex due to large variations in motion and rich content in f...

Zhaofan Qiu, et al. ∙

research

∙ 05/05/2022

Declaration-based Prompt Tuning for Visual Question Answering

In recent years, the pre-training-then-fine-tuning paradigm has yielded ...

Yuhang Liu, et al. ∙

research

∙ 09/16/2020

Competitive Ratios for Online Multi-capacity Ridesharing

In multi-capacity ridesharing, multiple requests (e.g., customers, food ...

Meghna Lowalekar, et al. ∙

research

∙ 07/17/2021

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis

Multimodal sentiment analysis aims to recognize people's attitudes from ...

Xingbo Wang, et al. ∙

research

∙ 11/14/2021

FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis

Collecting API examples, usages, and mentions relevant to a specific API...

Kien Luong, et al. ∙

research

∙ 12/14/2017

Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters

Most of existing correlation filter-based tracking approaches only estim...

Yang Li, et al. ∙

research

∙ 12/03/2017

Feature Agglomeration Networks for Single Stage Face Detection

Recent years have witnessed promising results of face detection using de...

Jialiang Zhang, et al. ∙

research

∙ 11/14/2017

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A popular recent approach to answering open-domain questions is to first...

Shuohang Wang, et al. ∙

research

∙ 08/31/2017

R^3: Reinforced Reader-Ranker for Open-Domain Question Answering

In recent years researchers have achieved considerable success applying ...

Shuohang Wang, et al. ∙

research

∙ 09/26/2017

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

An electroencephalography (EEG) based brain activity recognition is a fu...

Xiang Zhang, et al. ∙

research

∙ 02/23/2016

Mobile Big Data Analytics Using Deep Learning and Apache Spark

The proliferation of mobile devices, such as smartphones and Internet of...

Mohammad Abu Alsheikh, et al. ∙

research

∙ 12/30/2015

Learning Natural Language Inference with LSTM

Natural language inference (NLI) is a fundamentally important task in na...

Shuohang Wang, et al. ∙

research

∙ 05/01/2017

WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking

Application programming interfaces (APIs) offer a plethora of functional...

Ferdian Thung, et al. ∙

research

∙ 03/12/2015

Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation

Compared to Multilayer Neural Networks with real weights, Binary Multila...

Zhiyong Cheng, et al. ∙

research

∙ 12/01/2016

Robust Optimization for Tree-Structured Stochastic Network Design

Stochastic network design is a general framework for optimizing network ...

Xiaojian Wu, et al. ∙

research

∙ 11/06/2016

A Compare-Aggregate Model for Matching Text Sequences

Many NLP tasks including machine comprehension, answer selection and tex...

Shuohang Wang, et al. ∙

research

∙ 07/28/2016

VHT: Vertical Hoeffding Tree

IoT Big Data requires new machine learning methods able to scale to larg...

Nicolas Kourtellis, et al. ∙

research

∙ 10/28/2016

SOL: A Library for Scalable Online Learning Algorithms

SOL is an open-source library for scalable online learning algorithms, a...

Yue Wu, et al. ∙

research

∙ 03/15/2016

Scalable Image Retrieval by Sparse Product Quantization

Fast Approximate Nearest Neighbor (ANN) search technique for high-dimens...

Qingqun Ning, et al. ∙

research

∙ 09/27/2014

Large-scale Online Feature Selection for Ultra-high Dimensional Sparse Data

Feature selection with large-scale high-dimensional data is important ye...

Yue Wu, et al. ∙

research

∙ 11/23/2017

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

In this paper, we study transfer learning for the PI and NLI problems, a...

Jianfei Yu, et al. ∙

research

∙ 08/29/2016

Machine Comprehension Using Match-LSTM and Answer Pointer

Machine comprehension of text is an important problem in natural languag...

Shuohang Wang, et al. ∙

research

∙ 11/16/2017

On Analyzing Job Hop Behavior and Talent Flow Networks

Analyzing job hopping behavior is important for the understanding of job...

Richard J. Oentaryo, et al. ∙

research

∙ 02/06/2018

DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

Estimating the travel time of a path is of great importance to smart urb...

Hanyuan Zhang, et al. ∙

research

∙ 02/06/2018

Trajectory-driven Influential Billboard Placement

In this paper we propose and study the problem of trajectory-driven infl...

Ping Zhang, et al. ∙

research

∙ 02/09/2018

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Malicious URLs host unsolicited content and are used to perpetrate cyber...

Hung Le, et al. ∙

research

∙ 02/20/2018

Discovering Hidden Topical Hubs and Authorities in Online Social Networks

Finding influential users in online social networks is an important prob...

Roy Ka-Wei Lee, et al. ∙

research

∙ 02/20/2018

Categorizing the Content of GitHub README Files

README files play an essential role in shaping a developer's first impre...

Gede Artha Azriadi Prana, et al. ∙

research

∙ 02/27/2018

Network-Clustered Multi-Modal Bug Localization

Developers often spend much effort and resources to debug a program. To ...

Thong Hoang, et al. ∙

research

∙ 03/13/2018

Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code

Translating a program written in one programming language to another can...

Nghi D. Q. Bui, et al. ∙

research

∙ 03/22/2018

Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection

Recent years have witnessed many exciting achievements for object detect...

Xiongwei Wu, et al. ∙

Singapore Management University

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