Search Results for author: Bin Wang

Found 162 papers, 45 papers with code

C^3KG: A Chinese Commonsense Conversation Knowledge Graph

no code implementations Findings (ACL) 2022 Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.

A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval

no code implementations ECCV 2020 Bin Wang, Yongsheng Gao

While conducting the trace transform once only generates a single feature and multiple trace transforms of different functionals are needed to derive more to make the descriptors informative.

Maximal Clique Based Non-Autoregressive Open Information Extraction

no code implementations EMNLP 2021 Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang

However, the popular OpenIE systems usually output facts sequentially in the way of predicting the next fact conditioned on the previous decoded ones, which enforce an unnecessary order on the facts and involve the error accumulation between autoregressive steps.

Open Information Extraction

Transformer based Generative Adversarial Network for Liver Segmentation

no code implementations21 May 2022 Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci

The premise behind this choice is that the self-attention mechanism of the Transformers allows the network to aggregate the high dimensional feature and provide global information modeling.

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

no code implementations19 May 2022 Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, dianhai yu

We took natural language processing (NLP) as an example to show how Nebula-I works in different training phases that include: a) pre-training a multilingual language model using two remote clusters; and b) fine-tuning a machine translation model using knowledge distilled from pre-trained models, which run through the most popular paradigm of recent deep learning.

Cross-Lingual Natural Language Inference Language Modelling +1

Unified Interactive Image Matting

no code implementations17 May 2022 Stephen D. H. Yang, Bin Wang, Weijia Li, Yiqi Lin, Conghui He

Although avoiding the extensive labors of trimap annotation, existing methods still suffer from two limitations: (1) For the single image with multiple objects, it is essential to provide extra interaction information to help determining the matting target; (2) For transparent objects, the accurate regression of alpha matte from RGB image is much more difficult compared with the opaque ones.

Image Matting Transparent objects

Rethinking Reinforcement Learning based Logic Synthesis

no code implementations16 May 2022 Chao Wang, Chen Chen, Dong Li, Bin Wang

Recently, reinforcement learning has been used to address logic synthesis by formulating the operator sequence optimization problem as a Markov decision process.

reinforcement-learning

Electrified Autonomous Freight Benefit analysis on Fleet, Infrastructure and Grid Leveraging Grid-Electrified Mobility (GEM) Model

no code implementations27 Apr 2022 Wanshi Hong, Alan Jenn, Bin Wang

This paper analyzes the potential benefit of heavy-duty vehicle (HDV) electrification and automation on fleet cost, infrastructure cost, grid, and environmental impact.

C3KG: A Chinese Commonsense Conversation Knowledge Graph

no code implementations6 Apr 2022 Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

1 code implementation31 Mar 2022 Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang

As a promising way, Cross-Domain Recommendation (CDR) has attracted a surge of interest, which aims to transfer the user preferences observed in the source domain to make recommendations in the target domain.

Recommendation Systems

BCOT: A Markerless High-Precision 3D Object Tracking Benchmark

no code implementations25 Mar 2022 Jiachen Li, Bin Wang, Shiqiang Zhu, Xin Cao, Fan Zhong, Wenxuan Chen, Te Li, Jason Gu, Xueying Qin

Our new benchmark dataset contains 20 textureless objects, 22 scenes, 404 video sequences and 126K images captured in real scenes.

3D Object Tracking Object Tracking

MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation

1 code implementation ACL 2022 Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan

Applying existing methods to emotional support conversation -- which provides valuable assistance to people who are in need -- has two major limitations: (a) they generally employ a conversation-level emotion label, which is too coarse-grained to capture user's instant mental state; (b) most of them focus on expressing empathy in the response(s) rather than gradually reducing user's distress.

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

1 code implementation3 Mar 2022 Bo Zhang, Tao Chen, Bin Wang

Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.

Domain Adaptation Semantic Segmentation

MOORe: Model-based Offline-to-Online Reinforcement Learning

no code implementations25 Jan 2022 Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang

With the success of offline reinforcement learning (RL), offline trained RL policies have the potential to be further improved when deployed online.

reinforcement-learning

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting

no code implementations22 Jan 2022 Minbo Ma, Peng Xie, Fei Teng, Tianrui Li, Bin Wang, Shenggong Ji, Junbo Zhang

In this paper, we propose a novel Hierarchical Spatio-Temporal Graph Neural Network (HiSTGNN) to model cross-regional spatio-temporal correlations among meteorological variables in multiple stations.

Graph Learning Self-Learning +3

Joint Planning of Distributed Generations and Energy Storage in Active Distribution Networks: A Bi-Level Programming Approach

no code implementations15 Jan 2022 Yang Li, Bo Feng, Bin Wang, Shuchao Sun

In this model, the upper-level aims to seek the optimal location and capacity of DGs and energy storage, while the lower-level optimizes the operation of energy storage devices.

ViR:the Vision Reservoir

no code implementations27 Dec 2021 Xian Wei, Bin Wang, Mingsong Chen, Ji Yuan, Hai Lan, Jiehuang Shi, Xuan Tang, Bo Jin, Guozhang Chen, Dongping Yang

To address these problems, a novel method, namely, Vision Reservoir computing (ViR), is proposed here for image classification, as a parallel to ViT.

Image Classification

CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding

no code implementations19 Dec 2021 Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo

A new KG entity type prediction method, named CORE (COmplex space Regression and Embedding), is proposed in this work.

Type prediction

KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling

no code implementations17 Dec 2021 Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo

Knowledge base completion is formulated as a binary classification problem in this work, where an XGBoost binary classifier is trained for each relation using relevant links in knowledge graphs (KGs).

Knowledge Base Completion Knowledge Graphs +1

SanMove: Next Location Recommendation via Self-Attention Network

no code implementations15 Dec 2021 Huifeng Li, Bin Wang, Sulei Zhu, Yanyan Xu

To address the above challenges, we propose a novel method named SanMove, a self-attention network based model, to predict the next location via capturing the long- and short-term mobility patterns of users.

Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game

no code implementations14 Dec 2021 Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Chen Chen

An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors

no code implementations2 Dec 2021 Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li

This paper proposes a fusion model named ScaleVLAD to gather multi-Scale representation from text, video, and audio with shared Vectors of Locally Aggregated Descriptors to improve unaligned multimodal sentiment analysis.

Multimodal Sentiment Analysis

Learning Modified Indicator Functions for Surface Reconstruction

1 code implementation18 Nov 2021 Dong Xiao, Siyou Lin, Zuoqiang Shi, Bin Wang

We design a novel deep neural network to perform surface integral and learn the modified indicator functions from un-oriented and noisy point clouds.

Surface Reconstruction

PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation

no code implementations29 Oct 2021 Kaitai Zhang, Bin Wang, C. -C. Jay Kuo

PEDENet contains a patch embedding (PE) network, a density estimation (DE) network, and an auxiliary network called the location prediction (LP) network.

Density Estimation Dimensionality Reduction

Task-Specific Dependency-based Word Embedding Methods

no code implementations26 Oct 2021 Chengwei Wei, Bin Wang, C. -C. Jay Kuo

Two task-specific dependency-based word embedding methods are proposed for text classification in this work.

Text Classification

PG$^2$Net: Personalized and Group Preferences Guided Network for Next Place Prediction

1 code implementation15 Oct 2021 Huifeng Li, Bin Wang, Fan Xia, Xi Zhai, Sulei Zhu, Yanyan Xu

Targeting this, we propose an end-to-end framework named personalized and group preference guided network (PG$^2$Net), considering the users' preferences to various places at both individual and collective levels.

Graph Embedding

EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation

1 code implementation15 Oct 2021 Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang

In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i. e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolution (LR) video sequence.

Frame Reference-based Video Super-Resolution +1

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization

1 code implementation8 Oct 2021 Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu

In this work, we propose a new algorithm for circuit routing, named Ranking Cost, which innovatively combines search-based methods (i. e., A* algorithm) and learning-based methods (i. e., Evolution Strategies) to form an efficient and trainable router.

Learning Explicit Credit Assignment for Multi-agent Joint Q-learning

no code implementations29 Sep 2021 Hangyu Mao, Jianye Hao, Dong Li, Jun Wang, Weixun Wang, Xiaotian Hao, Bin Wang, Kun Shao, Zhen Xiao, Wulong Liu

In contrast, we formulate an \emph{explicit} credit assignment problem where each agent gives its suggestion about how to weight individual Q-values to explicitly maximize the joint Q-value, besides guaranteeing the Bellman optimality of the joint Q-value.

Q-Learning

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

1 code implementation19 Sep 2021 Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

Object Detection Unsupervised Domain Adaptation

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

Object Detection Region Proposal

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

no code implementations30 Aug 2021 Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan

The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.

Fine-Grained Image Classification Semantic correspondence +2

Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

no code implementations18 Aug 2021 Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Guoqing Li

The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention.

Risk Concentration and the Mean-Expected Shortfall Criterion

no code implementations11 Aug 2021 Xia Han, Bin Wang, Ruodu Wang, Qinyu Wu

Recently, Wang and Zitikis (2021) put forward four economic axioms for portfolio risk assessment and provide the first economic axiomatic foundation for the family of ES.

Translation

Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition

no code implementations27 Jul 2021 Pan Xie, Zhi Cui, Yao Du, Mengyi Zhao, Jianwei Cui, Bin Wang, Xiaohui Hu

Continuous sign language recognition (cSLR) is a public significant task that transcribes a sign language video into an ordered gloss sequence.

Frame Sign Language Recognition

Deep Structural Point Process for Learning Temporal Interaction Networks

1 code implementation8 Jul 2021 Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang

A temporal interaction network consists of a series of chronological interactions between users and items.

Unsupervised Co-part Segmentation through Assembly

1 code implementation10 Jun 2021 Qingzhe Gao, Bin Wang, Libin Liu, Baoquan Chen

Co-part segmentation is an important problem in computer vision for its rich applications.

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

no code implementations1 Jun 2021 Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

In addition, we use a novel agent network named Population Invariant agent with Transformer (PIT) to realize the coordination transfer in more varieties of scenarios.

Multi-agent Reinforcement Learning Starcraft +2

Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning

no code implementations31 May 2021 Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang

However, such a decoder only exploits the preorder traversal based preceding actions, which are insufficient to ensure correct action predictions.

Code Generation

An Efficient Network Solver for Dynamic Simulation of Power Systems Based on Hierarchical Inverse Computation and Modification

no code implementations22 May 2021 Lu Zhang, Bin Wang, Vivek Sarin, Weiping Shi, P. R. Kumar, Le Xie

In power system dynamic simulation, up to 90% of the computational time is devoted to solve the network equations, i. e., a set of linear equations.

Integrated Communication and Navigation for Ultra-Dense LEO Satellite Networks: Vision, Challenges and Solutions

no code implementations19 May 2021 Yu Wang, Hejia Luo, Ying Chen, Jun Wang, Rong Li, Bin Wang

Next generation beyond 5G networks are expected to provide both Terabits per second data rate communication services and centimeter-level accuracy localization services in an efficient, seamless and cost-effective manner.

Towards an Online Empathetic Chatbot with Emotion Causes

no code implementations11 May 2021 Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang

Existing emotion-aware conversational models usually focus on controlling the response contents to align with a specific emotion class, whereas empathy is the ability to understand and concern the feelings and experience of others.

Chatbot

AnomalyHop: An SSL-based Image Anomaly Localization Method

1 code implementation8 May 2021 Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C. -C. Jay Kuo

An image anomaly localization method based on the successive subspace learning (SSL) framework, called AnomalyHop, is proposed in this work.

Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing

no code implementations7 May 2021 Jun Fang, Bin Wang, Hongbin Li, Ying-Chang Liang

Cognitive radio (CR) is a promising technology enabling efficient utilization of the spectrum resource for future wireless systems.

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

no code implementations13 Apr 2021 Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos.

Frame Texture Synthesis

Self-supervised Video Representation Learning by Context and Motion Decoupling

1 code implementation CVPR 2021 Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

A key challenge in self-supervised video representation learning is how to effectively capture motion information besides context bias.

Action Recognition motion prediction +2

Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN

no code implementations26 Mar 2021 Congyi Wang, Yu Chen, Bin Wang, Yi Shi

GAN-based neural vocoders, such as Parallel WaveGAN and MelGAN have attracted great interest due to their lightweight and parallel structures, enabling them to generate high fidelity waveform in a real-time manner.

BLOCKEYE: Hunting For DeFi Attacks on Blockchain

no code implementations4 Mar 2021 Bin Wang, Han Liu, Chao Liu, Zhiqiang Yang, Qian Ren, Huixuan Zheng, Hong Lei

We applied BLOCKEYE in several popular DeFi projects and managed to discover potential security attacks that are unreported before.

Cryptography and Security Computers and Society

Forecasts on Interacting Dark Energy from 21-cm Angular Power Spectrum with BINGO and SKA observations

no code implementations2 Mar 2021 Linfeng Xiao, Andre A. Costa, Bin Wang

Then we estimate the noise level of three upcoming HI intensity mapping surveys, BINGO, SKA1-MID Band$\,$1 and Band$\,$2, respectively, and employ a Fisher matrix approach to forecast their constraints on the IDE model.

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

Task-adaptive Neural Process for User Cold-Start Recommendation

1 code implementation26 Feb 2021 Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang

In this paper, we develop a novel meta-learning recommender called task-adaptive neural process (TaNP).

Meta-Learning Recommendation Systems

Studies of form factors and branching ratios for $D\rightarrow S,Al\bar{ν_{l}}$ with light-cone sum rules

no code implementations24 Feb 2021 Qi Huang, Yan-Jun Sun, Di Gao, Guo-Hua Zhao, Bin Wang, Wei Hong

We systematically study the semileptonic decay process of $ D\rightarrow S, A l\bar{\nu_{l}}(l=e,\mu)$ by light-cone sum rules (LCSR) with chiral currents, calculate the form factors containing only the contribution of the leading twist light-cone distribution amplitudes (LCDAs).

High Energy Physics - Phenomenology

Progressive Depth Learning for Single Image Dehazing

no code implementations21 Feb 2021 Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Sanping Zhou, Wenqi Ren

However, we note that the guidance of the depth information for transmission estimation could remedy the decreased visibility as distances increase.

Depth Estimation Image Dehazing +1

The collider tests of a leptophilic scalar for the anomalous magnetic moments

no code implementations10 Feb 2021 Ning Chen, Bin Wang, Chang-Yuan Yao

Our results show that the leptophilic scalar in the mass range of $\mathcal{O}(10)- \mathcal{O}(1000 )\,\rm GeV$ can be fully probed by the future experimental searches at the HL-LHC and the lepton colliders at their early stages.

High Energy Physics - Phenomenology

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning

no code implementations9 Feb 2021 Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

However, scaling up the classification task from thousands of semantic labels to millions of instance labels brings specific challenges including 1) the large-scale softmax computation; 2) the slow convergence due to the infrequent visiting of instance samples; and 3) the massive number of negative classes that can be noisy.

Classification General Classification +1

Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning

no code implementations1 Feb 2021 Yi Shi, Congyi Wang, Yu Chen, Bin Wang

In this paper, we propose a novel semi-supervised learning (SSL) framework for Mandarin Chinese polyphone disambiguation that can potentially leverage unlimited unlabeled text data.

Polyphone disambiguation

Towards Speeding up Adversarial Training in Latent Spaces

no code implementations1 Feb 2021 Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shouling Ji, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh

Adversarial training is wildly considered as one of the most effective way to defend against adversarial examples.

Black holes of $(2+1)$-dimensional $f(R)$ gravity coupled to a scalar field

no code implementations16 Jan 2021 Thanasis Karakasis, Eleftherios Papantonopoulos, Zi-Yu Tang, Bin Wang

We consider $f(R)$ gravity theories in the presence of a scalar field minimally coupled to gravity with a self-interacting potential in $(2+1)$-dimensions.

General Relativity and Quantum Cosmology

GraphHop: An Enhanced Label Propagation Method for Node Classification

1 code implementation7 Jan 2021 Tian Xie, Bin Wang, C. -C. Jay Kuo

In Step 2, a new label vector is predicted for each node based on the label of the node itself and the aggregated label information obtained in Step 1.

Classification General Classification +3

Robust Memory Augmentation by Constrained Latent Imagination

no code implementations1 Jan 2021 Yao Mu, Yuzheng Zhuang, Bin Wang, Wulong Liu, Shengbo Eben Li, Jianye Hao

The latent dynamics model summarizes an agent’s high dimensional experiences in a compact way.

Ranking Cost: One-Stage Circuit Routing by Directly Optimizing Global Objective Function

no code implementations1 Jan 2021 Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Jun Zhu, Ting Chen

In our method, we introduce a new set of variables called cost maps, which can help the A* router to find out proper paths to achieve the global object.

Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach

no code implementations1 Jan 2021 Zhiyong Hao, Hsiao-Dong Chiang, Bin Wang

To realize effective TRUST-TECH searches to train deep neural networks on large datasets, a dynamic search paths (DSP) method is proposed to provide an improved search guidance in TRUST-TECH method.

Image Classification

An Adversarial Attack via Feature Contributive Regions

no code implementations1 Jan 2021 Yaguan Qian, Jiamin Wang, Xiang Ling, Zhaoquan Gu, Bin Wang, Chunming Wu

Recently, to deal with the vulnerability to generate examples of CNNs, there are many advanced algorithms that have been proposed.

Adversarial Attack

Approximating Pareto Frontier through Bayesian-optimization-directed Robust Multi-objective Reinforcement Learning

no code implementations1 Jan 2021 Xiangkun He, Jianye Hao, Dong Li, Bin Wang, Wulong Liu

Thirdly, the agent’s learning process is regarded as a black-box, and the comprehensive metric we proposed is computed after each episode of training, then a Bayesian optimization (BO) algorithm is adopted to guide the agent to evolve towards improving the quality of the approximated Pareto frontier.

reinforcement-learning

Horizon curvature and spacetime structure influences on black hole scalarization

no code implementations22 Dec 2020 Hong Guo, Xiao-Mei Kuang, Eleftherios Papantonopoulos, Bin Wang

Comparing with negative and zero cases, the scalar field near AdS black hole with positive curvature could be much easier to emerge.

General Relativity and Quantum Cosmology

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

1 code implementation14 Dec 2020 Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan

Hence, in this paper, we propose to improve the response generation performance by examining the model's ability to answer a reading comprehension question, where the question is focused on the omitted information in the dialog.

Multi-Task Learning Reading Comprehension +1

Bipartite Graph Embedding via Mutual Information Maximization

1 code implementation10 Dec 2020 Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang

However, the global properties of bipartite graph, including community structures of homogeneous nodes and long-range dependencies of heterogeneous nodes, are not well preserved.

Graph Embedding Link Prediction

Visually Imperceptible Adversarial Patch Attacks on Digital Images

no code implementations2 Dec 2020 Yaguan Qian, Jiamin Wang, Bin Wang, Shaoning Zeng, Zhaoquan Gu, Shouling Ji, Wassim Swaileh

With this soft mask, we develop a new loss function with inverse temperature to search for optimal perturbations in CFR.

Porous Lattice Transformer Encoder for Chinese NER

no code implementations COLING 2020 Xue Mengge, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang

Incorporating lexicons into character-level Chinese NER by lattices is proven effective to exploitrich word boundary information.

NER

Phase transitions in four-dimensional AdS black holes with a nonlinear electrodynamics source

no code implementations29 Nov 2020 Ramon Becar, P. A. Gonzalez, Joel Saavedra, Yerko Vasquez, Bin Wang

In this work we consider black hole solutions to Einstein theory coupled to a nonlinear power-law electromagnetic field with a fixed exponent value.

General Relativity and Quantum Cosmology High Energy Physics - Theory

Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework

no code implementations17 Nov 2020 Wanshi Hong, Cong Zhang, Cy Chan, Bin Wang

The optimal charging infrastructure planning problem over a large geospatial area is challenging due to the increasing network sizes of the transportation system and the electric grid.

Graph Geometry Interaction Learning

1 code implementation NeurIPS 2020 Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang

To utilize the strength of both Euclidean and hyperbolic geometries, we develop a novel Geometry Interaction Learning (GIL) method for graphs, a well-suited and efficient alternative for learning abundant geometric properties in graph.

Link Prediction Node Classification

SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

1 code implementation22 Oct 2020 Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang

Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications.

Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism

1 code implementation COLING 2020 Pan Xie, Zhi Cui, Xiuyin Chen, Xiaohui Hu, Jianwei Cui, Bin Wang

Concretely, we insert a left-to-right mask to the same decoder of CMTM, and then induce it to autoregressively review whether each generated word from CMTM is supposed to be replaced or kept.

Knowledge Distillation Translation

Coarse-to-Fine Pre-training for Named Entity Recognition

1 code implementation EMNLP 2020 Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang

More recently, Named Entity Recognition hasachieved great advances aided by pre-trainingapproaches such as BERT.

Named Entity Recognition NER

Inductive Learning on Commonsense Knowledge Graph Completion

1 code implementation19 Sep 2020 Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C. -C. Jay Kuo

Here, we propose to study the inductive learning setting for CKG completion where unseen entities may present at test time.

Entity Embeddings Knowledge Graph Completion +2

EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks

no code implementations19 Sep 2020 Ya-guan Qian, Qiqi Shao, Jia-min Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu

This dynamic defense can prohibit the adversary from selecting an optimal substitute model for black-box attacks.

Knowledge Distillation

A novel combination of theoretical analysis and data-driven method for reconstruction of structural defects

no code implementations14 Sep 2020 Qi Li, Yihui Da, Yinghong Zhang, Bin Wang, Dianzi Liu, Zhenghua Qian

To address this issue, a novel approach to quantitative reconstruction of defects using the integration of data-driven method with the guided wave scattering analysis has been proposed in this paper.

Computational Engineering, Finance, and Science J.2

TEAM: We Need More Powerful Adversarial Examples for DNNs

1 code implementation31 Jul 2020 Ya-guan Qian, Ximin Zhang, Bin Wang, Wei Li, Zhaoquan Gu, Haijiang Wang, Wassim Swaileh

In this paper, we propose a novel method (TEAM, Taylor Expansion-Based Adversarial Methods) to generate more powerful adversarial examples than previous methods.

Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification

no code implementations3 Jul 2020 Bin Wang, Bing Xue, Mengjie Zhang

A new effective and efficient surrogate-assisted particle swarm optimisation algorithm is proposed to automatically evolve convolutional neural networks.

General Classification Image Classification +1

Xiaomi's Submissions for IWSLT 2020 Open Domain Translation Task

no code implementations WS 2020 Yuhui Sun, Mengxue Guo, Xiang Li, Jianwei Cui, Bin Wang

This paper describes the Xiaomi{'}s submissions to the IWSLT20 shared open domain translation task for Chinese{\textless}-{\textgreater}Japanese language pair.

Domain Adaptation Knowledge Distillation +2

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

1 code implementation23 Jun 2020 Xin Cong, Bowen Yu, Tingwen Liu, Shiyao Cui, Hengzhu Tang, Bin Wang

We first build a representation extractor to derive features for unlabeled data from the target domain (no test data is necessary) and then group them with a cluster miner.

Classification General Classification +1

Accelerating linear solvers for Stokes problems with C++ metaprogramming

2 code implementations10 Jun 2020 Denis Demidov, Lin Mu, Bin Wang

The efficiency is demonstrated with the example of accelerating an iterative solver of a discontinuous Galerkin finite element method for the Stokes problem.

Mathematical Software Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Fluid Dynamics 35-04, 65-04, 65Y05, 65Y10, 65Y15, 97N80

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter

1 code implementation10 Jun 2020 Qi Huang, Junshuai Yu, Jia Wu, Bin Wang

A meta-path based heterogeneous graph attention network framework is proposed to capture the global semantic relations of text contents, together with the global structure information of source tweet propagations for rumor detection.

Graph Attention

MeshODE: A Robust and Scalable Framework for Mesh Deformation

1 code implementation23 May 2020 Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng, Bin Wang, Leonidas Guibas

Given a pair of shapes, our framework provides a novel shape feature-preserving mapping function that continuously deforms one model to the other by minimizing fitting and rigidity losses based on the non-rigid iterative-closest-point (ICP) algorithm.

Graphics Computational Geometry

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

no code implementations19 May 2020 Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu

Generative adversarial imitation learning (GAIL) has shown promising results by taking advantage of generative adversarial nets, especially in the field of robot learning.

Autonomous Vehicles Data Augmentation +1

Attention-based Transducer for Online Speech Recognition

no code implementations18 May 2020 Bin Wang, Yan Yin, Hui Lin

We propose attention-based transducer with modification over RNN-T in two aspects.

Frame Quantization +1

Unified Multi-Criteria Chinese Word Segmentation with BERT

no code implementations13 Apr 2020 Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu, Xuanjing Huang

Besides, the pre-trained BERT language model has been also introduced into the MCCWS task in a multi-task learning framework.

Chinese Word Segmentation Language Modelling +1

Graph Structured Network for Image-Text Matching

1 code implementation CVPR 2020 Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang

The GSMN explicitly models object, relation and attribute as a structured phrase, which not only allows to learn correspondence of object, relation and attribute separately, but also benefits to learn fine-grained correspondence of structured phrase.

Cross-Modal Retrieval Text Matching

Feature-Driven Super-Resolution for Object Detection

no code implementations1 Apr 2020 Bin Wang, Tao Lu, Yanduo Zhang

Comparing with some state-of-the-art SR algorithms with 4$\times$ scale factor, FDSR outperforms the detection performance mAP on MS COCO validation, VOC2007 databases with good generalization to other detection networks.

Image Reconstruction Object Detection +1

Efficient Sentence Embedding via Semantic Subspace Analysis

1 code implementation22 Feb 2020 Bin Wang, Fenxiao Chen, Yuncheng Wang, C. -C. Jay Kuo

Given the fact that word embeddings can capture semantic relationship while semantically similar words tend to form semantic groups in a high-dimensional embedding space, we develop a sentence representation scheme by analyzing semantic subspaces of its constituent words.

Sentence Embedding Sentence-Embedding +1

SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models

3 code implementations16 Feb 2020 Bin Wang, C. -C. Jay Kuo

Yet, it is an open problem to generate a high quality sentence representation from BERT-based word models.

Semantic Textual Similarity Sentence Embedding +1

TEAM: An Taylor Expansion-Based Method for Generating Adversarial Examples

no code implementations23 Jan 2020 Ya-guan Qian, Xi-Ming Zhang, Wassim Swaileh, Li Wei, Bin Wang, Jian-hai Chen, Wu-jie Zhou, Jing-sheng Lei

Although Deep Neural Networks(DNNs) have achieved successful applications in many fields, they are vulnerable to adversarial examples. Adversarial training is one of the most effective methods to improve the robustness of DNNs, and it is generally considered as solving a saddle point problem that minimizes risk and maximizes perturbation. Therefore, powerful adversarial examples can effectively replicate the situation of perturbation maximization to solve the saddle point problem. The method proposed in this paper approximates the output of DNNs in the input neighborhood by using the Taylor expansion, and then optimizes it by using the Lagrange multiplier method to generate adversarial examples.

Towards cross-platform automated rotation electron diffraction

no code implementations21 Nov 2019 Maria Roslova, Stef Smeets, Bin Wang, Thomas Thersleff, Hongyi Xu, Xiaodong Zou

A DigitalMicrograph script InsteaDMatic has been developed to facilitate rapid automated continuous rotation electron diffraction (cRED) data acquisition.

Materials Science

Global Adaptive Generative Adjustment

no code implementations2 Nov 2019 Bin Wang, Xiaofei Wang, Jianhua Guo

Many traditional signal recovery approaches can behave well basing on the penalized likelihood.

Model Selection

Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks

no code implementations27 Oct 2019 Ya-guan Qian, Dan-feng Ma, Bin Wang, Jun Pan, Jia-min Wang, Jian-hai Chen, Wu-jie Zhou, Jing-sheng Lei

In this paper, we propose an evasion attack on CNN classifiers in the context of License Plate Recognition (LPR), which adds predetermined perturbations to specific regions of license plate images, simulating some sort of naturally formed spots (such as sludge, etc.).

License Plate Recognition

From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images

no code implementations11 Oct 2019 Bin Wang, Yongsheng Gao, Xiaohan Yu, Xiaohui Yuan, Shengwu Xiong, Xianzhong Feng

Encouraging experimental results of the proposed method in comparison to the state-of-the-art leaf species recognition methods demonstrate the availability of cultivar information in soybean leaves and effectiveness of the proposed MSCM for soybean cultivar identification, which may advance the research in leaf recognition from species to cultivar.

On the Strong Equivalences of LPMLN Programs

no code implementations18 Sep 2019 Bin Wang, Jun Shen, Shutao Zhang, Zhizheng Zhang

Firstly, we present the notions of p-strong and w-strong equivalences between LPMLN programs.

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

1 code implementation10 Sep 2019 Bowen Yu, Zhen-Yu Zhang, Xiaobo Shu, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li

Joint extraction of entities and relations aims to detect entity pairs along with their relations using a single model.

Relation Extraction

On the Strong Equivalences for LPMLN Programs

no code implementations9 Sep 2019 Bin Wang, Jun Shen, Shutao Zhang, Zhizheng Zhang

In this paper, we study the strong equivalence for LPMLN programs, which is an important tool for program rewriting and theoretical investigations in the field of logic programming.

Logic in Computer Science D.1.6

Graph Representation Learning: A Survey

1 code implementation3 Sep 2019 Fenxiao Chen, Yuncheng Wang, Bin Wang, C. -C. Jay Kuo

Research on graph representation learning has received a lot of attention in recent years since many data in real-world applications come in form of graphs.

Graph Embedding Graph Representation Learning

Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks

no code implementations29 Jul 2019 Bin Wang, Bing Xue, Mengjie Zhang

Deep Convolutional Neural Networks (CNNs) have been widely used in image classification tasks, but the process of designing CNN architectures is very complex, so Neural Architecture Search (NAS), automatically searching for optimal CNN architectures, has attracted more and more research interests.

Classification General Classification +3

Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning

1 code implementation20 Jun 2019 Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang

However, most neural collective EL methods depend entirely upon neural networks to automatically model the semantic dependencies between different EL decisions, which lack of the guidance from external knowledge.

Entity Disambiguation Entity Linking +1

Adaptive Convolution for Multi-Relational Learning

no code implementations NAACL 2019 Xiaotian Jiang, Quan Wang, Bin Wang

We consider the problem of learning distributed representations for entities and relations of multi-relational data so as to predict missing links therein.

Link Prediction Relational Reasoning

Graph Attention Memory for Visual Navigation

no code implementations11 May 2019 Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Bin Wang, Wulong Liu, Rasul Tutunov, Jun Wang

To address the long-term memory issue, this paper proposes a graph attention memory (GAM) architecture consisting of memory construction module, graph attention module and control module.

Graph Attention reinforcement-learning +1

An Improved Coarse-to-Fine Method for Solving Generation Tasks

no code implementations ALTA 2019 Wenyv Guan, Qianying Liu, Guangzhi Han, Bin Wang, Sujian Li

The methods first generate a rough sketch in the coarse stage and then use the sketch to get the final result in the fine stage.

Math Word Problem Solving Semantic Parsing

Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification

1 code implementation21 Mar 2019 Bin Wang, Yanan sun, Bing Xue, Mengjie Zhang

In recent years, convolutional neural networks (CNNs) have become deeper in order to achieve better classification accuracy in image classification.

Classification General Classification +1

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks

no code implementations10 Mar 2019 Bin Wang, Yanan sun, Bing Xue, Mengjie Zhang

Three major contributions of this work are: Firstly, a new encoding strategy is proposed to encode a CNN, where the architecture and the shortcut connections are encoded separately; Secondly, a hybrid two-level EC method, which combines particle swarm optimisation and genetic algorithms, is developed to search for the optimal CNNs; Lastly, an adjustable learning rate is introduced for the fitness evaluations, which provides a better learning rate for the training process given a fixed number of epochs.

General Classification Image Classification

Evaluating Word Embedding Models: Methods and Experimental Results

no code implementations28 Jan 2019 Bin Wang, Angela Wang, Fenxiao Chen, Yuncheng Wang, C. -C. Jay Kuo

Extensive evaluation on a large number of word embedding models for language processing applications is conducted in this work.

Word Embeddings

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting

3 code implementations22 Dec 2018 Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang

We cast the weather forecasting problem as an end-to-end deep learning problem and solve it by proposing a novel negative log-likelihood error (NLE) loss function.

Weather Forecasting

Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach

no code implementations7 Dec 2018 Xiangtian Zheng, Bin Wang, Le Xie

This paper concerns with the production of synthetic phasor measurement unit (PMU) data for research and education purposes.

Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition

no code implementations8 Nov 2018 Shenglan Liu, Shuai Guo, Hong Qiao, Yang Wang, Bin Wang, Wenbo Luo, Mingming Zhang, Keye Zhang, Bixuan Du

As RGB view and depth view lie in different spaces, a new distance metric bag of neighbors (BON) used in MvLE can get the similar distributions of the two views.

Emotion Recognition

Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English

1 code implementation31 Oct 2018 Yan Yin, Ramon Prieto, Bin Wang, Jianwei Zhou, Yiwei Gu, Yang Liu, Hui Lin

Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on various tasks.

Speech Recognition

VECTORIZATION METHODS IN RECOMMENDER SYSTEM

no code implementations27 Sep 2018 Qiang Sun, Bin Wang, Zizhou Gu, Yanwei Fu

The most used recommendation method is collaborative filtering, and the key part of collaborative filtering is to compute the similarity.

Collaborative Filtering Recommendation Systems

Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification

no code implementations4 Sep 2018 Fenxiao Chen, Bin Wang, C. -C. Jay Kuo

A novel graph-to-tree conversion mechanism called the deep-tree generation (DTG) algorithm is first proposed to predict text data represented by graphs.

General Classification Text Classification

Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding

1 code implementation20 Aug 2018 Bin Wang, Fenxiao Chen, Angela Wang, C. -C. Jay Kuo

Although embedded vector representations of words offer impressive performance on many natural language processing (NLP) applications, the information of ordered input sequences is lost to some extent if only context-based samples are used in the training.

A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification

no code implementations20 Aug 2018 Bin Wang, Yanan sun, Bing Xue, Mengjie Zhang

In this paper, a new hybrid differential evolution (DE) algorithm with a newly added crossover operator is proposed to evolve the architectures of CNNs of any lengths, which is named DECNN.

General Classification Image Classification

Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data

no code implementations15 Aug 2018 Bin Wang, Paul Kry, Yuanmin Deng, Uri Ascher, Hui Huang, Baoquan Chen

The challenge is that such data is sparse as it is consistently given only on part of the surface.

Graphics

Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation

1 code implementation3 Jul 2018 Bin Wang, Zhijian Ou

First, a dynamic noise distribution is introduced and trained simultaneously to converge to the data distribution.

Language Modelling

Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation

1 code implementation21 May 2018 Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger

The key idea is to explicitly incorporate both representations gained separately from the bottom-up and top-down propagation on the given dependency syntactic tree.

Aspect-Based Sentiment Analysis Term Extraction

Improving Knowledge Graph Embedding Using Simple Constraints

1 code implementation ACL 2018 Boyang Ding, Quan Wang, Bin Wang, Li Guo

We examine non-negativity constraints on entity representations and approximate entailment constraints on relation representations.

Knowledge Graph Embedding Knowledge Graphs

Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification

no code implementations17 Mar 2018 Bin Wang, Yanan sun, Bing Xue, Mengjie Zhang

Convolutional neural networks (CNNs) are one of the most effective deep learning methods to solve image classification problems, but the best architecture of a CNN to solve a specific problem can be extremely complicated and hard to design.

General Classification Image Classification

Electric Vehicle Driver Clustering using Statistical Model and Machine Learning

no code implementations12 Feb 2018 Yingqi Xiong, Bin Wang, Chi-Cheng Chu, Rajit Gadh

Electric Vehicle (EV) is playing a significant role in the distribution energy management systems since the power consumption level of the EVs is much higher than the other regular home appliances.

Load Forecasting

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

1 code implementation30 Nov 2017 Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

In this paper, we propose Rule-Guided Embedding (RUGE), a novel paradigm of KG embedding with iterative guidance from soft rules.

Knowledge Graph Embedding Knowledge Graphs +1

Learning neural trans-dimensional random field language models with noise-contrastive estimation

no code implementations30 Oct 2017 Bin Wang, Zhijian Ou

However, the training efficiency of neural TRF LMs is not satisfactory, which limits the scalability of TRF LMs on large training corpus.

Speech Recognition

Language modeling with Neural trans-dimensional random fields

no code implementations23 Jul 2017 Bin Wang, Zhijian Ou

The idea is to use nonlinear potentials with continuous features, implemented by neural networks (NNs), in the TRF framework.

Speech Recognition

Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?

no code implementations CVPR 2017 Bin Wang, Yongsheng Gao, Changming Sun, Michael Blumenstein, John La Salle

A novel chord bunch walks (CBW) descriptor is developed through the chord walking that effectively integrates the shape image function over the walked chord to reflect the contour features and the inner properties of the shape.

Translation

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

no code implementations ICCV 2017 Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille

This design is biologically-plausible, as it likes a human visual system to compare different possible segmentation solutions to address the ambiguous boundary issue.

Boundary Detection

Traffic-Aware Transmission Mode Selection in D2D-enabled Cellular Networks with Token System

no code implementations2 Mar 2017 Yiling Yuan, Tao Yang, Hui Feng, Bo Hu, Jianqiu Zhang, Bin Wang, Qiyong Lu

We consider a D2D-enabled cellular network where user equipments (UEs) owned by rational users are incentivized to form D2D pairs using tokens.

Model Interpolation with Trans-dimensional Random Field Language Models for Speech Recognition

no code implementations30 Mar 2016 Bin Wang, Zhijian Ou, Yong He, Akinori Kawamura

The dominant language models (LMs) such as n-gram and neural network (NN) models represent sentence probabilities in terms of conditionals.

Speech Recognition

Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability

no code implementations ICCV 2015 Jingwei Huang, Huarong Chen, Bin Wang, Stephen Lin

We present an automatic thumbnail generation technique based on two essential considerations: how well they visually represent the original photograph, and how well the foreground can be recognized after the cropping and downsizing steps of thumbnailing.

Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform

no code implementations27 Aug 2014 Yuyu Zhang, Liang Pang, Lei Shi, Bin Wang

This paper describes the solution of Bazinga Team for Tmall Recommendation Prize 2014.

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches

no code implementations29 Nov 2013 Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun, Bin Wang

The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, user's aggregated purchase history and competitive online travel agency information for each potential hotel choice.

Feature Engineering

Efficiently Indexing Large Sparse Graphs for Similarity Search

no code implementations18 Feb 2010 Guoren Wang, Bin Wang, Xiaochun Yang, IEEE Computer Society, and Ge Yu, Member, IEEE

Abstract—The graph structure is a very important means to model schemaless data with complicated structures, such as protein- protein interaction networks, chemical compounds, knowledge query inferring systems, and road networks.

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