Search Results for author: Zhen Wang

Found 51 papers, 16 papers with code

Deep Streaming Label Learning

no code implementations ICML 2020 Zhen Wang, Liu Liu, DaCheng Tao

In order to fill in these research gaps, we propose a novel deep neural network (DNN) based framework, Deep Streaming Label Learning (DSLL), to classify instances with newly emerged labels effectively.

Multi-Label Learning

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

no code implementations12 Sep 2021 Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

Discrete-continuous hybrid action space is a natural setting in many practical problems, such as robot control and game AI.

N15News: A New Dataset for Multimodal News Classification

no code implementations30 Aug 2021 Zhen Wang, Xu Shan, Jie Yang

Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification.

Classification News Classification

Synchronization of Power Systems under Stochastic Disturbances

no code implementations9 Aug 2021 Zhen Wang, Kaihua Xi, Aijie Cheng, Hai Xiang Lin, André C. M. Ran, Jan H. van Schuppen, Chenghui Zhang

The synchronization of power generators is an important condition for the proper functioning of a power system, in which the fluctuations in frequency and the phase angle differences between the generators are sufficiently small when subjected to stochastic disturbances.

Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation

no code implementations10 Jun 2021 Yunhao Ba, Zhen Wang, Kerim Doruk Karinca, Oyku Deniz Bozkurt, Achuta Kadambi

Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e. g., heart rate) using facial videos.

Chinese Sentences Similarity via Cross-Attention Based Siamese Network

no code implementations18 Apr 2021 Zhen Wang, Xiangxie Zhang, Yicong Tan

Measuring sentence similarity is a key research area nowadays as it allows machines to better understand human languages.

Sentence Similarity

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints

1 code implementation17 Apr 2021 Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao

In semi-supervised fuzzy clustering, this paper extends the traditional pairwise constraint (i. e., must-link or cannot-link) to fuzzy pairwise constraint.

Equilibrium and Socially optimal of a double-sided queueing system with two-mass point matching time

no code implementations28 Jan 2021 Zhen Wang, Cheryl Yang, Liwei Liu, Yiqiang Q. Zhao

The numerical scenarios illustrate the influence of parameters on the equilibrium strategy and socially optimal strategy under two information levels.

Probability 60K25, 91B50, 91A35

Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery

no code implementations6 Jan 2021 Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li

In recent years, hyperspectral anomaly detection (HAD) has become an active topic and plays a significant role in military and civilian fields.

Anomaly Detection Ensemble Learning

Semantic Inference Network for Few-shot Streaming Label Learning

no code implementations1 Jan 2021 Zhen Wang, Liu Liu, Yiqun Duan, DaCheng Tao

In this work, we formulate and study few-shot streaming label learning (FSLL), which models emerging new labels with only a few annotated examples by utilizing the knowledge learned from past labels.

Meta-Learning Multi-Label Classification

ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries

no code implementations18 Dec 2020 Jinyin Chen, Zhen Wang, Haibin Zheng, Jun Xiao, Zhaoyan Ming

This work proposes a generic evaluation metric ROBY, a novel attack-independent robustness measure based on the model's decision boundaries.

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

1 code implementation9 Dec 2020 Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang

As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer-reviewer assignment.

Information Retrieval Sentiment Analysis +1

Diversify Question Generation with Continuous Content Selectors and Question Type Modeling

no code implementations Findings of the Association for Computational Linguistics 2020 Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang

However, question generation is actually a one-to-many problem, as it is possible to raise questions with different focuses on contexts and various means of expression.

Question Generation

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention

no code implementations26 Oct 2020 Linlin Hou, Ji Zhang, Ou wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao

We finally apply our model on PAKDD papers published from 2009-2019 to mine insightful results from scientific papers published in a longer time span.

Data Augmentation

Exercise Hierarchical Feature Enhanced Knowledge Tracing

no code implementations23 Oct 2020 Hanshuang Tong, Yun Zhou, Zhen Wang

Knowledge tracing is a fundamental task in the computer-aid educational system.

Knowledge Tracing

Exploring Common and Individual Characteristics of Students via Matrix Recovering

no code implementations23 Oct 2020 Zhen Wang, Ben Teng, Yun Zhou, Hanshuang Tong, Guangtong Liu

We assume that the characteristics matrix of students' is composed of two parts: one is a low-rank matrix representing the common characteristics of students; the other is a sparse matrix representing individual characteristics of students.

Unseen Target Stance Detection with Adversarial Domain Generalization

1 code implementation12 Oct 2020 Zhen Wang, Qiansheng Wang, Chengguo Lv, Xue Cao, Guohong Fu

Although stance detection has made great progress in the past few years, it is still facing the problem of unseen targets.

Domain Generalization Stance Detection

Cue-word Driven Neural Response Generation with a Shrinking Vocabulary

1 code implementation10 Oct 2020 Qiansheng Wang, Yuxin Liu, Chengguo Lv, Zhen Wang, Guohong Fu

Open-domain response generation is the task of generating sensible and informative re-sponses to the source sentence.

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

no code implementations29 Jul 2020 Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei. Lin, Jingren Zhou

Then we instantiate this search strategy by optimizing both a dedicated graph neural network (GNN) and the adjacency tensor associated with the defined feature graph.

Recommendation Systems

HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing

no code implementations13 Jun 2020 Hanshuang Tong, Zhen Wang, Qi Liu, Yun Zhou, Wenyuan Han

To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.

Knowledge Tracing

Rationalizing Medical Relation Prediction from Corpus-level Statistics

1 code implementation ACL 2020 Zhen Wang, Jennifer Lee, Simon Lin, Huan Sun

Nowadays, the interpretability of machine learning models is becoming increasingly important, especially in the medical domain.

Decision Making

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

1 code implementation28 Feb 2020 Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi

Additionally, among the network, only very few of the users are labelled, which also poses a great challenge for only utilizing labeled data to achieve a satisfied performance on fraud detection.

Fraud Detection

Tree++: Truncated Tree Based Graph Kernels

1 code implementation23 Feb 2020 Wei Ye, Zhen Wang, Rachel Redberg, Ambuj Singh

At the heart of Tree++ is a graph kernel called the path-pattern graph kernel.

Graph Similarity

Multiple Flat Projections for Cross-manifold Clustering

no code implementations17 Feb 2020 Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng

In this paper, we propose a Multiple Flat Projections Clustering (MFPC) to deal with cross-manifold clustering problems.

Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor

no code implementations4 Feb 2020 Yuting Hu, Zhen Wang, Ghassan AlRegib

In this paper, we present an efficient and distinctive local descriptor, namely block intensity and gradient difference (BIGD).

Classification General Classification +1

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

1 code implementation13 Jan 2020 Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei. Lin, Jingren Zhou

Motivated by the necessity and benefits of task-oriented BERT compression, we propose a novel compression method, AdaBERT, that leverages differentiable Neural Architecture Search to automatically compress BERT into task-adaptive small models for specific tasks.

Knowledge Distillation Neural Architecture Search

Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation

no code implementations18 Oct 2019 Manirupa Das, Zhen Wang, Evan Jaffe, Madhuja Chattopadhyay, Eric Fosler-Lussier, Rajiv Ramnath

Online customer reviews on large-scale e-commerce websites, represent a rich and varied source of opinion data, often providing subjective qualitative assessments of product usage that can help potential customers to discover features that meet their personal needs and preferences.

Domain Adaptation

A Distributed Fair Machine Learning Framework with Private Demographic Data Protection

1 code implementation17 Sep 2019 Hui Hu, Yijun Liu, Zhen Wang, Chao Lan

In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.

Fairness

SurfCon: Synonym Discovery on Privacy-Aware Clinical Data

1 code implementation21 Jun 2019 Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon Lin, Huan Sun

To solve the problem, we propose a new framework SurfCon that leverages two important types of information in the privacy-aware clinical data, i. e., the surface form information, and the global context information for synonym discovery.

Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

4 code implementations12 Jun 2019 Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun

Our experimental results demonstrate that the recent graph embedding methods achieve promising results and deserve more attention in the future biomedical graph analysis.

Graph Embedding Link Prediction +2

Fisher-Bures Adversary Graph Convolutional Networks

1 code implementation11 Mar 2019 Ke Sun, Piotr Koniusz, Zhen Wang

We try to minimize the loss wrt the perturbed $G+\Delta{G}$ while making $\Delta{G}$ to be effective in terms of the Fisher information of the neural network.

Node Classification

Characterization of migrated seismic volumes using texture attributes: a comparative study

no code implementations30 Jan 2019 Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Motaz Al Farraj, Zhen Wang, Asjad Amin, Mohamed Deriche, Ghassan AlRegib

It is our hope that this comparative study will help acquaint the seismic interpretation community with the many available powerful image texture analysis techniques, providing more alternative attributes for their seismic exploration.

Image Retrieval Seismic Interpretation +1

A general model for plane-based clustering with loss function

no code implementations26 Jan 2019 Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu

In this paper, we propose a general model for plane-based clustering.

Ramp-based Twin Support Vector Clustering

no code implementations10 Dec 2018 Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao

Traditional plane-based clustering methods measure the cost of within-cluster and between-cluster by quadratic, linear or some other unbounded functions, which may amplify the impact of cost.

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm

no code implementations6 Nov 2018 Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

In this paper, we propose a novel linear discriminant analysis criterion via the Bhattacharyya error bound estimation based on a novel L1-norm (L1BLDA) and L2-norm (L2BLDA).

Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension

no code implementations ACL 2018 Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu

While sophisticated neural-based techniques have been developed in reading comprehension, most approaches model the answer in an independent manner, ignoring its relations with other answer candidates.

Answer Selection Reading Comprehension

A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning

no code implementations3 Mar 2018 Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

This paper proposes a many-objective optimization algorithm with two interacting processes: cascade clustering and reference point incremental learning (CLIA).

Incremental Learning

On the Effectiveness of Least Squares Generative Adversarial Networks

2 code implementations18 Dec 2017 Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley

To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial Networks (LSGANs) which adopt the least squares loss for both the discriminator and the generator.

Insensitive Stochastic Gradient Twin Support Vector Machine for Large Scale Problems

no code implementations19 Apr 2017 Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng

In this paper, stochastic gradient descent algorithm is investigated to twin support vector machines for classification.

Classification General Classification

Least Squares Generative Adversarial Networks

21 code implementations ICCV 2017 Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley

To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial Networks (LSGANs) which adopt the least squares loss function for the discriminator.

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