Search Results for author: Bo wang

Found 101 papers, 30 papers with code

CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs

no code implementations EMNLP 2021 Jinfeng Zhou, Bo wang, Ruifang He, Yuexian Hou

Although paths of user interests shift in knowledge graphs (KGs) can benefit conversational recommender systems (CRS), explicit reasoning on KGs has not been well considered in CRS, due to the complex of high-order and incomplete paths.

Knowledge Graphs Recommendation Systems +1

Fisher Matrix Based Fault Detection for PMUs Data in Power Grids

no code implementations9 Aug 2022 Ke Chen, Dandan Jiang, Bo wang, Hongxia Wang

Firstly, the fault detection matrix is constructed and the event detection problem is reformatted as a two-sample covariance matrices test problem.

Event Detection Fault Detection

Template-based Abstractive Microblog Opinion Summarisation

no code implementations8 Aug 2022 Iman Munire Bilal, Bo wang, Adam Tsakalidis, Dong Nguyen, Rob Procter, Maria Liakata

We introduce the task of microblog opinion summarisation (MOS) and share a dataset of 3100 gold-standard opinion summaries to facilitate research in this domain.

Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training

1 code implementation16 Jul 2022 Zizheng Huang, Chao Zhang, Huaxiong Li, Bo wang, Chunlin Chen

Thus, adopting a small temperature in these stages can impose larger penalty strength on hard negative samples to improve the discrimination of the CL model.

Contrastive Learning

Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting

no code implementations12 Jul 2022 Hao liu, Bin Chen, Bo wang, Chunpeng Wu, Feng Dai, Peng Wu

To address the coupling problem, we propose a Cycle Self-Training (CST) framework for SSOD, which consists of two teachers T1 and T2, two students S1 and S2.

object-detection Object Detection +1

Underactuated Source Seeking by Surge Force Tuning: Theory and Boat Experiments

no code implementations9 May 2022 Bo wang, Sergey Nersesov, Hashem Ashrafiuon, Peiman Naseradinmousavi, Miroslav Krstić

We extend source seeking algorithms, in the absence of position and velocity measurements, and with tuning of the surge input, from velocity-actuated (unicycle) kinematic models to force-actuated generic Euler-Lagrange dynamic underactuated models.

Dual networks based 3D Multi-Person Pose Estimation from Monocular Video

1 code implementation2 May 2022 Yu Cheng, Bo wang, Robby T. Tan

Most of the methods focus on single persons, which estimate the poses in the person-centric coordinates, i. e., the coordinates based on the center of the target person.

3D Multi-Person Pose Estimation (absolute) 3D Multi-Person Pose Estimation (root-relative) +4

A sequence-to-sequence approach for document-level relation extraction

2 code implementations BioNLP (ACL) 2022 John Giorgi, Gary D. Bader, Bo wang

In this paper, we develop a sequence-to-sequence approach, seq2rel, that can learn the subtasks of DocRE (entity extraction, coreference resolution and relation extraction) end-to-end, replacing a pipeline of task-specific components.

Coreference Resolution Relation Extraction

Hybrid Routing Transformer for Zero-Shot Learning

no code implementations29 Mar 2022 De Cheng, Gerong Wang, Bo wang, Qiang Zhang, Jungong Han, Dingwen Zhang

This design makes the presented transformer model a hybrid of 1) top-down and bottom-up attention pathways and 2) dynamic and static routing pathways.

Zero-Shot Learning

Interactive Image Synthesis with Panoptic Layout Generation

1 code implementation CVPR 2022 Bo wang, Tao Wu, Minfeng Zhu, Peng Du

In particular, the stuff layouts can take amorphous shapes and fill up the missing regions left out by the instance layouts.

Image Generation

MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection

no code implementations31 Jan 2022 Juanyun Mai, Minghao Wang, Jiayin Zheng, Yanbo Shao, Zhaoqi Diao, Xinliang Fu, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo wang, Hua Ji

The false positive reduction module significantly decreases the average number of candidates generated per scan by 68. 11% and the false discovery rate by 13. 48%, which is promising to reduce distracted proposals for the downstream tasks based on the detection results.

Head Detection

Neural-FST Class Language Model for End-to-End Speech Recognition

no code implementations28 Jan 2022 Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer

We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and finite state transducers (FSTs) in a mathematically consistent framework.

speech-recognition Speech Recognition

Random cohort effects and age groups dependency structure for mortality modelling and forecasting: Mixed-effects time-series model approach

no code implementations31 Dec 2021 Ka Kin Lam, Bo wang

There have been significant efforts devoted to solving the longevity risk given that a continuous growth in population ageing has become a severe issue for many developed countries over the past few decades.

Time Series

High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling

no code implementations21 Dec 2021 Ren-Wu Li, Bo wang, Chun-Peng Li, Ling-Xiao Zhang, Lin Gao

Instead of decoding a whole shape, we propose to decode and refine a low-resolution (low-res) point cloud first, and then performs a patch-wise noise-aware upsampling rather than interpolating the whole sparse point cloud at once, which tends to lose details.

Point Cloud Completion

Comparison between Time Shifting Deviation and Cross-correlation Methods

no code implementations15 Nov 2021 Zhongwang Pang, Guan Wang, Bo wang, Lijun Wang

It stands in clear contrast to the result of cross-correlation method, whose localization error is 70 m and the standard deviation is 208. 4 m. Compared with cross-correlation method, TSDEV has the same resistance to white noise, but has fewer boundary conditions and better suppression on linear drift or common noise, which leads to more precise TDE results.

Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet

1 code implementation10 Nov 2021 Bo wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, Hai L. Vu

The aim is to build a machine learning model for predicting the normalized average traffic speed and flow of the subregions of multiple large-scale cities using historical data points.

Traffic Prediction

MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers

1 code implementation8 Nov 2021 Adamo Young, Bo wang, Hannes Röst

In this work we show that graph transformers can be used to accurately predict tandem mass spectra.

Drug Discovery

OctField: Hierarchical Implicit Functions for 3D Modeling

no code implementations NeurIPS 2021 Jia-Heng Tang, Weikai Chen, Jie Yang, Bo wang, Songrun Liu, Bo Yang, Lin Gao

We achieve this goal by introducing a hierarchical octree structure to adaptively subdivide the 3D space according to the surface occupancy and the richness of part geometry.

A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis

no code implementations3 Sep 2021 Dimitris Gkoumas, Bo wang, Adam Tsakalidis, Maria Wolters, Arkaitz Zubiaga, Matthew Purver, Maria Liakata

Dementia is a family of neurogenerative conditions affecting memory and cognition in an increasing number of individuals in our globally aging population.

Transferring Knowledge Distillation for Multilingual Social Event Detection

1 code implementation6 Aug 2021 Jiaqian Ren, Hao Peng, Lei Jiang, Jia Wu, Yongxin Tong, Lihong Wang, Xu Bai, Bo wang, Qiang Yang

Experiments on both synthetic and real-world datasets show the framework to be highly effective at detection in both multilingual data and in languages where training samples are scarce.

Cross-Lingual Word Embeddings Event Detection +2

Evaluation of Thematic Coherence in Microblogs

no code implementations ACL 2021 Iman Munire Bilal, Bo wang, Maria Liakata, Rob Procter, Adam Tsakalidis

Here we create a corpus of microblog clusters from three different domains and time windows and define the task of evaluating thematic coherence.

Text Generation

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

no code implementations29 Jun 2021 Kai Li, Bo wang, Yingjie Tian, Zhiquan Qi

Numerous detection problems in computer vision, including road crack detection, suffer from exceedingly foreground-background imbalance.

Two-stage Training for Learning from Label Proportions

no code implementations22 May 2021 Jiabin Liu, Bo wang, Xin Shen, Zhiquan Qi, Yingjie Tian

Learning from label proportions (LLP) aims at learning an instance-level classifier with label proportions in grouped training data.

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

1 code implementation CVPR 2021 Yu Cheng, Bo wang, Bo Yang, Robby T. Tan

Besides the integration of top-down and bottom-up networks, unlike existing pose discriminators that are designed solely for single person, and consequently cannot assess natural inter-person interactions, we propose a two-person pose discriminator that enforces natural two-person interactions.

3D Multi-Person Pose Estimation (absolute) 3D Multi-Person Pose Estimation (root-relative) +2

Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

1 code implementation29 Mar 2021 Dingwen Zhang, Bo wang, Gerong Wang, Qiang Zhang, Jiajia Zhang, Jungong Han, Zheng You

Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not.

Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network

no code implementations3 Mar 2021 Zhen Fu, Bo wang, Xihong Wu, Jing Chen

In this paper, we proposed novel convolutional recurrent neural network (CRNN) based regression model and classification model, and compared them with both the linear model and the state-of-the-art DNN models.

Classification EEG +1

Continuous quantum light from a dark atom

no code implementations1 Mar 2021 Karl Nicolas Tolazzi, Bo wang, Christopher Ianzano, Jonas Neumeier, Celso Jorge Villas-Boas, Gerhard Rempe

Cycling processes are important in many areas of physics ranging from lasers to topological insulators, often offering surprising insights into dynamical and structural aspects of the respective system.

Quantum Physics

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches

no code implementations18 Feb 2021 Ka Kin Lam, Bo wang

A rapid decline in mortality and fertility has become major issues in many developed countries over the past few decades.

Decision Making

The effect of aspherical stellar wind of giant stars on the symbiotic channel of type Ia supernovae

no code implementations18 Feb 2021 Chengyuan Wu, Dongdong Liu, XiaoFeng Wang, Bo wang

The progenitor systems accounting for explosions of type Ia supernovae (SNe Ia) is still under debate.

Solar and Stellar Astrophysics

Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder

no code implementations18 Feb 2021 Bo wang, Yue Wu, Nemanja Vaci, Maria Liakata, Terry Lyons, Kate E A Saunders

Bipolar disorder (BD) and borderline personality disorder (BPD) are two chronic mental health conditions that clinicians find challenging to distinguish based on clinical interviews, due to their overlapping symptoms.

Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches

no code implementations18 Feb 2021 Ka Kin Lam, Bo wang

The first model extends the independent functional data model to a multi-population modelling setting.

Spectrum of the doubly charmed molecular pentaquarks in chiral effective field theory

no code implementations11 Feb 2021 Kan Chen, Bo wang, Shi-Lin Zhu

We perform a systematic study on the interactions of the $\Sigma_c^{(*)}D^{(*)}$ systems within the framework of chiral effective field theory.

High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Lattice Nuclear Theory

Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection

no code implementations27 Jan 2021 Yuxiang Ren, Bo wang, Jiawei Zhang, Yi Chang

AA-HGNN utilizes an active learning framework to enhance learning performance, especially when facing the paucity of labeled data.

Active Learning Fake News Detection +2

Optimizing Biomanufacturing Harvesting Decisions under Limited Historical Data

no code implementations11 Jan 2021 Bo wang, Wei Xie, Tugce Martagan, Alp Akcay, Bram van Ravenstein

In particular, we adopt a Bayesian approach to update the unknown parameters of the growth-rate distributions, and use the resulting posterior distributions to characterize the impact of model risk on fermentation output variability.

Decision Making Model-based Reinforcement Learning

OT-LLP: Optimal Transport for Learning from Label Proportions

no code implementations1 Jan 2021 Jiabin Liu, Hanyuan Hang, Bo wang, Xin Shen, Zhouchen Lin

Learning from label proportions (LLP), where the training data are arranged in form of groups with only label proportions provided instead of the exact labels, is an important weakly supervised learning paradigm in machine learning.

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

1 code implementation22 Dec 2020 Yu Cheng, Bo wang, Bo Yang, Robby T. Tan

To tackle this problem, we propose a novel framework integrating graph convolutional networks (GCNs) and temporal convolutional networks (TCNs) to robustly estimate camera-centric multi-person 3D poses that do not require camera parameters.

3D Absolute Human Pose Estimation 3D Multi-Person Pose Estimation (absolute) +5

Predicting the $\bar{D}_s^{(*)} D_s^{(*)}$ bound states as the partners of $X(3872)$

no code implementations17 Dec 2020 Lu Meng, Bo wang, Shi-Lin Zhu

We prove the existence of the $[\bar{D}_{s}^{*}D_{s}^{*}]^{0^{++}}$, $[\bar{D}_{s}^{*}D_{s}/\bar{D}_{s}^{}D_{s}^*]^{1^{+-}}$, and $[\bar{D}_{s}^{*}D_{s}^{*}]^{1^{+-}}$ bound states as the consequence of two prerequisites in the SU(3) flavor symmetry and heavy quark spin symmetry.

High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Lattice

Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization

no code implementations13 Oct 2020 Cheng Yu, Bo wang, Bo Yang, Robby T. Tan

Addressing these problems, we introduce a spatio-temporal network for robust 3D human pose estimation.

Pose Prediction

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder

no code implementations EMNLP (ClinicalNLP) 2020 John Pougue Biyong, Bo wang, Terry Lyons, Alejo J Nevado-Holgado

Relying on large pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) for encoding and adding a simple prediction layer has led to impressive performance in many clinical natural language processing (NLP) tasks.

Natural Language Processing Pretrained Language Models

Sound speed resonance of the stochastic gravitational wave background

no code implementations21 Sep 2020 Yi-Fu Cai, Chunshan Lin, Bo wang, Sheng-Feng Yan

We propose a novel mechanism to amplify the primordial gravitational waves (GWs) at the scale which can be detected by current or near future gravitational wave detectors.

General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology High Energy Physics - Theory

Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles

no code implementations24 Jul 2020 Teng Liu, Bo wang, Dongpu Cao, Xiaolin Tang, Yalian Yang

As the core of this study, model predictive control and reinforcement learning are combined to improve the powertrain mobility and fuel economy for a group of automated vehicles.

Autonomous Vehicles Decision Making +1

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

2 code implementations ACL 2021 John Giorgi, Osvald Nitski, Bo wang, Gary Bader

Inspired by recent advances in deep metric learning (DML), we carefully design a self-supervised objective for learning universal sentence embeddings that does not require labelled training data.

Contrastive Learning Linear-Probe Classification +4

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

1 code implementation30 Apr 2020 Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang

In experiments, we achieve state-of-the-art performance on three benchmarks and a zero-shot dataset for link prediction, with highlights of inference costs reduced by 1-2 orders of magnitude compared to a textual encoding method.

Graph Embedding Link Prediction +1

COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution

no code implementations23 Apr 2020 Qingsen Yan, Bo wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You

Inspired by the observation that the boundary of the infected lung can be enhanced by adjusting the global intensity, in the proposed deep CNN, we introduce a feature variation block which adaptively adjusts the global properties of the features for segmenting COVID-19 infection.

Computed Tomography (CT) Medical Image Segmentation +1

A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box

1 code implementation15 Apr 2020 Linhao Li, Zhiqiang Zhou, Bo wang, Lingjuan Miao, Hua Zong

By contrast, we are able to predict the orientation and other variables independently, and yet more effectively, with a novel dual-branch regression network, based on the observation that the ship targets are nearly rotation-invariant in remote sensing images.

SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation

3 code implementations21 Jan 2020 Jesse Sun, Fatemeh Darbehani, Mark Zaidi, Bo wang

Despite the progress of deep learning in medical image segmentation, standard CNNs are still not fully adopted in clinical settings as they lack robustness and interpretability.

Medical Image Segmentation Semantic Segmentation

Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks

no code implementations5 Jan 2020 Zhiyong Dou, Haotian Cui, Lin Zhang, Bo wang

Diffusion has shown great success in improving accuracy of unsupervised image retrieval systems by utilizing high-order structures of image manifold.

Image Retrieval

Diversity Transfer Network for Few-Shot Learning

1 code implementation31 Dec 2019 Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xin-Yu Zhang, Chang Huang, Wenyu Liu, Bo wang

The learning problem of the sample generation (i. e., diversity transfer) is solved via minimizing an effective meta-classification loss in a single-stage network, instead of the generative loss in previous works.

Few-Shot Learning

End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models

1 code implementation20 Dec 2019 John Giorgi, Xindi Wang, Nicola Sahar, Won Young Shin, Gary D. Bader, Bo wang

In this paper, we propose a neural, end-to-end model for jointly extracting entities and their relations which does not rely on external NLP tools and which integrates a large, pre-trained language model.

Language Modelling named-entity-recognition +3

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

1 code implementation25 Nov 2019 Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh

We show that conventional artificial neural networks (ANN) such as multilayer perceptron, convolutional neural networks, as well as the latest residual neural networks can be mapped successfully onto Shenjing, realizing ANNs with SNN's energy efficiency.

DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature

no code implementations WS 2019 Feifan Liu, Xiaoyu Zheng, Bo wang, Catarina Kiefe

Understanding the pathogenesis of genetic diseases through different gene activities and their relations to relevant diseases is important for new drug discovery and drug repositioning.

Drug Discovery Multi-Task Learning +3

s-LWSR: Super Lightweight Super-Resolution Network

1 code implementation24 Sep 2019 Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi

Deep learning (DL) architectures for superresolution (SR) normally contain tremendous parameters, which has been regarded as the crucial advantage for obtaining satisfying performance.


Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control

no code implementations10 Sep 2019 Wei Xie, Bo wang, Cheng Li, Dongming Xie, Jared Auclair

While biomanufacturing plays a significant role in supporting the economy and ensuring public health, it faces critical challenges, including complexity, high variability, lengthy lead time, and very limited process data, especially for personalized new cell and gene biotherapeutics.

Learning from Label Proportions with Generative Adversarial Networks

1 code implementation NeurIPS 2019 Jiabin Liu, Bo wang, Zhiquan Qi, Yingjie Tian, Yong Shi

In this paper, we leverage generative adversarial networks (GANs) to derive an effective algorithm LLP-GAN for learning from label proportions (LLP), where only the bag-level proportional information in labels is available.

Deep Differentiable Random Forests for Age Estimation

no code implementations23 Jul 2019 Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo wang, Alan Yuille

Both of them connect split nodes to the top layer of convolutional neural networks (CNNs) and deal with inhomogeneous data by jointly learning input-dependent data partitions at the split nodes and age distributions at the leaf nodes.

Age Estimation

A Minimax Game for Instance based Selective Transfer Learning

no code implementations1 Jul 2019 Bo wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jung Huang, Bo Zheng, Deng Cai, Jingren Zhou

To the best of our knowledge, this is the first to build a minimax game based model for selective transfer learning.

Transfer Learning

Companion Surface of Danger Cylinder and its Role in Solution Variation of P3P Problem

no code implementations4 Jun 2019 Bo wang, Hao Hu, Caixia Zhang

And when the optical center moves on the danger cylinder, accordingly the optical centers of the two other solutions of the corresponding P3P problem form a new surface, characterized by a polynomial equation of degree 12 in the optical center coordinates, called the Companion Surface of Danger Cylinder (CSDC).

Can We Derive Explicit and Implicit Bias from Corpus?

no code implementations31 May 2019 Bo Wang, Baixiang Xue, Anthony G. Greenwald

Inspired by psychological measurements of explicit and implicit bias, we develop an automatic language-based technique to reproduce psychological measurements on large population.

New insights on Multi-Solution Distribution of the P3P Problem

no code implementations30 Jan 2019 Bo Wang, Hao Hu, Caixia Zhang

In this work, we show that when the optical center is outside of all the 6 toroids defined by the control point triangle, each positive root of the Grunert's quartic equation must correspond to a true solution of the P3P problem, and the corresponding P3P problem cannot have a unique solution, it must have either 2 positive solutions or 4 positive solutions.

Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem

no code implementations29 Jan 2019 Bo wang, Hao Hu, Caixia Zhang

In this work, we provide some new geometric interpretations on the multi-solution phenomenon in the P3P problem, our main results include: (1): The necessary and sufficient condition for the P3P problem to have a pair of side-sharing solutions is the two optical centers of the solutions both lie on one of the 3 vertical planes to the base plane of control points; (2): The necessary and sufficient condition for the P3P problem to have a pair of point-sharing solutions is the two optical centers of the solutions both lie on one of the 3 so-called skewed danger cylinders;(3): If the P3P problem has other solutions in addition to a pair of side-sharing ( point-sharing) solutions, these remaining solutions must be a point-sharing ( side-sharing ) pair.

Robust Face Detection via Learning Small Faces on Hard Images

1 code implementation28 Nov 2018 Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo wang, Alan Yuille

In this paper, we propose that the robustness of a face detector against hard faces can be improved by learning small faces on hard images.

Face Detection

Image Captioning based on Deep Reinforcement Learning

no code implementations13 Sep 2018 Haichao Shi, Peng Li, Bo wang, Zhenyu Wang

However, in this paper, we propose a novel architecture for image captioning with deep reinforcement learning to optimize image captioning tasks.

Image Captioning Natural Language Processing +2

Network Enhancement: a general method to denoise weighted biological networks

no code implementations9 May 2018 Bo Wang, Armin Pourshafeie, Marinka Zitnik, Junjie Zhu, Carlos D. Bustamante, Serafim Batzoglou, Jure Leskovec

Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from molecular to the biome.


Deep Co-Training for Semi-Supervised Image Recognition

1 code implementation ECCV 2018 Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo wang, Alan Yuille

We present Deep Co-Training, a deep learning based method inspired by the Co-Training framework.

Deep Regression Forests for Age Estimation

2 code implementations CVPR 2018 Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo wang, Alan Yuille

Age estimation from facial images is typically cast as a nonlinear regression problem.

Age Estimation

Single-Shot Object Detection with Enriched Semantics

no code implementations CVPR 2018 Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo wang, Alan L. Yuille

Our motivation is to enrich the semantics of object detection features within a typical deep detector, by a semantic segmentation branch and a global activation module.

object-detection Object Detection +1

Gradually Updated Neural Networks for Large-Scale Image Recognition

no code implementations ICML 2018 Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo wang, Alan Yuille

Our method is by introducing computation orderings to the channels within convolutional layers or blocks, based on which we gradually compute the outputs in a channel-wise manner.

SYSTRAN Purely Neural MT Engines for WMT2017

no code implementations WS 2017 Yongchao Deng, Jungi Kim, Guillaume Klein, Catherine Kobus, Natalia Segal, Christophe Servan, Bo wang, Dakun Zhang, Josep Crego, Jean Senellart

This paper describes SYSTRAN's systems submitted to the WMT 2017 shared news translation task for English-German, in both translation directions.

Machine Translation Translation

TDParse: Multi-target-specific sentiment recognition on Twitter

no code implementations EACL 2017 Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter

Existing target-specific sentiment recognition methods consider only a single target per tweet, and have been shown to miss nearly half of the actual targets mentioned.

Dependency Parsing Opinion Mining +1

SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel Learning

1 code implementation21 Mar 2017 Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou

We here present SIMLR (Single-cell Interpretation via Multi-kernel LeaRning), an open-source tool that implements a novel framework to learn a sample-to-sample similarity measure from expression data observed for heterogenous samples.

Dimensionality Reduction

Multivariate Gaussian and Student$-t$ Process Regression for Multi-output Prediction

1 code implementation13 Mar 2017 Zexun Chen, Bo wang, Alexander N. Gorban

Gaussian process model for vector-valued function has been shown to be useful for multi-output prediction.


Political Homophily in Independence Movements: Analysing and Classifying Social Media Users by National Identity

no code implementations27 Feb 2017 Arkaitz Zubiaga, Bo wang, Maria Liakata, Rob Procter

Independence movements occur in territories whose citizens have conflicting national identities; users with opposing national identities will then support or oppose the sense of being part of an independent nation that differs from the officially recognised country.

General Classification

Unsupervised Learning from Noisy Networks with Applications to Hi-C Data

no code implementations NeurIPS 2016 Bo Wang, Junjie Zhu, Armin Pourshafeie, Oana Ursu, Serafim Batzoglou, Anshul Kundaje

In this paper, we propose an optimization framework to mine useful structures from noisy networks in an unsupervised manner.

Community Detection Denoising

Measuring Asymmetric Opinions on Online Social Interrelationship with Language and Network Features

no code implementations2 Nov 2016 Bo Wang, Yanshu Yu, Yu-An Wang

Instead of studying the properties of social relationship from an objective view, in this paper, we focus on individuals' subjective and asymmetric opinions on their interrelationships.

Structure vs. Language: Investigating the Multi-factors of Asymmetric Opinions on Online Social Interrelationship with a Case Study

no code implementations2 Nov 2016 Bo Wang, Yingjun Sun, Yu-An Wang

With statistical analysis on Enron email dataset, we find that individuals' opinions (measured by interactive language features) on their interrelationship are related to some of their important structural context in social network.

SYSTRAN's Pure Neural Machine Translation Systems

no code implementations18 Oct 2016 Josep Crego, Jungi Kim, Guillaume Klein, Anabel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurelien Coquard, Yongchao Deng, Satoshi Enoue, Chiyo Geiss, Joshua Johanson, Ardas Khalsa, Raoum Khiari, Byeongil Ko, Catherine Kobus, Jean Lorieux, Leidiana Martins, Dang-Chuan Nguyen, Alexandra Priori, Thomas Riccardi, Natalia Segal, Christophe Servan, Cyril Tiquet, Bo wang, Jin Yang, Dakun Zhang, Jing Zhou, Peter Zoldan

Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by several entities announcing roll-out of NMT engines to replace their existing technologies.

Machine Translation Translation

How priors of initial hyperparameters affect Gaussian process regression models

no code implementations25 May 2016 Zexun Chen, Bo wang

The hyperparameters in Gaussian process regression (GPR) model with a specified kernel are often estimated from the data via the maximum marginal likelihood.


Towards Real-Time, Country-Level Location Classification of Worldwide Tweets

1 code implementation25 Apr 2016 Arkaitz Zubiaga, Alex Voss, Rob Procter, Maria Liakata, Bo wang, Adam Tsakalidis

In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here we undertake the task in a broader context by classifying global tweets at the country level, which is so far unexplored in a real-time scenario.

Classification General Classification

Gradient-based Laplacian Feature Selection

no code implementations10 Apr 2014 Bo Wang, Anna Goldenberg

With $\ell_1$ relaxation, GLFS can find a sparse subset of features that is relevant to the Laplacian manifolds.

feature selection Object Recognition

Sparse Subspace Denoising for Image Manifolds

no code implementations CVPR 2013 Bo Wang, Zhuowen Tu

With the increasing availability of high dimensional data and demand in sophisticated data analysis algorithms, manifold learning becomes a critical technique to perform dimensionality reduction, unraveling the intrinsic data structure.

Denoising Dimensionality Reduction

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