Liang Yang

发表

Homographic Puns Recognition Based on Latent Semantic Structures

Di Wu, Hongfei Lin, Xiaochao Fan, 2017, NLPCC.

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport

Xiaochun Cao, Di Jin, Liang Yang, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Refining Word Reesprentations by Manifold Learning

Yufeng Diao, Liang Yang, Hongfei Lin, 2019 .

Homographic pun location using multi-dimensional semantic relationships

Di Wu, Yufeng Diao, Liang Yang, 2020, Soft Computing.

Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background

Xiaochun Cao, Liang Yang, Xiaojie Guo, 2016, IEEE Transactions on Cybernetics.

Robust Foreground Detection Using Smoothness and Arbitrariness Constraints

Xiaochun Cao, Yi Ma, Liang Yang, 2014, ECCV.

Incorporating network structure with node contents for community detection on large networks using deep learning

Jianwu Dang, Liang Yang, Di Jin, 2018, Neurocomputing.

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model

Xiaochun Cao, Di Jin, Yuanfang Guo, 2020, IEEE Transactions on Cybernetics.

Autonomous Semantic Community Detection via Adaptively Weighted Low-rank Approximation

Xiaochun Cao, Di Jin, Weixiong Zhang, 2019, ACM Transactions on Multimedia Computing, Communications, and Applications.

Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation

Xiaochun Cao, Liang Yang, Yuanfang Guo, 2018, AAAI.

Exploring the roles of cannot-link constraint in community detection via Multi-variance Mixed Gaussian Generative Model

Xiaochun Cao, Liang Yang, Dongxiao He, 2017, PloS one.

Improving the Efficiency and Effectiveness of Community Detection via Prior-Induced Equivalent Super-Network

Xiaochun Cao, Dongxiao He, Huazhu Fu, 2017, Scientific Reports.

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization

Xiaochun Cao, Dan Meng, Liang Yang, 2015, IEEE Transactions on Cybernetics.

Modularity Based Community Detection with Deep Learning

Xiaochun Cao, Chuan Wang, Weixiong Zhang, 2016, IJCAI.

Semantic Community Identification in Large Attribute Networks

Xiaochun Cao, Weixiong Zhang, Xiao Wang, 2016, AAAI.

Humor detection via an internal and external neural network

Chen Shen, Xiaochao Fan, Hongfei Lin, 2020, Neurocomputing.

Heterogeneous Graph Neural Network via Attribute Completion

Di Jin, Liang Yang, Cuiying Huo, 2021, WWW.

Deep People Counting in Extremely Dense Crowds

Xiaochun Cao, Chuan Wang, Si Liu, 2015, ACM Multimedia.

Detection of Suicide Ideation in Social Media Forums Using Deep Learning

Hongfei Lin, Bo Xu, Michael M. Tadesse, 2019, Algorithms.

Adverse drug reaction detection via a multihop self-attention mechanism

Liang Yang, Hongfei Lin, Bo Xu, 2019, BMC Bioinformatics.

Depression Detection on Reddit With an Emotion-Based Attention Network: Algorithm Development and Validation

Liang Yang, Hongfei Lin, Bo Xu, 2021, JMIR medical informatics.

Improving User Attribute Classification with Text and Social Network Attention

Liang Yang, Hongfei Lin, Bo Xu, 2019, Cognitive Computation.

Low-Resource Cross-Domain Product Review Sentiment Classification Based on a CNN with an Auxiliary Large-Scale Corpus

Hongfei Lin, Liang Yang, Yuhai Yu, 2017, Algorithms.

WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition

Di Wu, Hongfei Lin, Zhihao Yang, 2018, EMNLP.

Transformer-Based Capsule Network For Stock Movement Prediction

Hongfei Lin, Bo Xu, Yufeng Diao, 2019 .

Refining Word Representations by Manifold Learning

Shaowu Zhang, Xiaochao Fan, Hongfei Lin, 2019, IJCAI.

Personality Predictions Based on User Behavior on the Facebook Social Media Platform

Liang Yang, Bo Xu, Hongfei Lin, 2018, IEEE Access.

Topology Optimization based Graph Convolutional Network

Xiaochun Cao, Liang Yang, Yuanfang Guo, 2019, IJCAI.

JANE: Jointly Adversarial Network Embedding

Xiaochun Cao, Yuanfang Guo, Chuan Wang, 2020, IJCAI.

Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering

Hongfei Lin, Zhihao Yang, Bo Xu, 2019, NLPCC.

Sentiment Analysis With Comparison Enhanced Deep Neural Network

Hongfei Lin, Kan Xu, Yuan Lin, 2020, IEEE Access.

Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective

Liang Yang, Bo Xu, Hongfei Lin, 2019, IEEE Access.

Detection of Depression-Related Posts in Reddit Social Media Forum

Liang Yang, Bo Xu, Hongfei Lin, 2019, IEEE Access.

Masked Graph Convolutional Network

Liang Yang, Yuanfang Guo, Fan Wu, 2019, IJCAI.

A supervised term ranking model for diversity enhanced biomedical information retrieval

Jian Wang, Yijia Zhang, Zhihao Yang, 2019, BMC Bioinformatics.

Discriminative globality-locality preserving extreme learning machine for image classification

Shaowu Zhang, Xiaochao Fan, Hongfei Lin, 2020, Neurocomputing.

A Refined Margin Distribution Analysis for Forest Representation Learning

Zhi-Hua Zhou, Liang Yang, Shen-Huan Lyu, 2019, NeurIPS.

Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations

Yuanfang Guo, Liang Yang, Junhua Gu, 2021, Future Gener. Comput. Syst..

Improve Biomedical Information Retrieval Using Modified Learning to Rank Methods

Liang Yang, Bo Xu, Hongfei Lin, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

The Identification of the Emotionality of Metaphorical Expressions Based on a Manually Annotated Chinese Corpus

Liang Yang, Hongfei Lin, Shaowu Zhang, 2018, IEEE Access.

A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references

Liang Yang, Xiaomeng Wang, Wenhao Yu, 2018, Int. J. Geogr. Inf. Sci..

Fuzzy ELM for classification based on feature space

Hongfei Lin, Deqin Yan, Yufeng Diao, 2020, Multimedia Tools and Applications.

Detection and Extraction of Hot Topics on Chinese Microblogs

Shengbo Liu, Liang Yang, Hongfei Lin, 2016, Cognitive Computation.

Bi-GCN: Binary Graph Convolutional Network

Yunhong Wang, Liang Yang, Yuanfang Guo, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks

Feng Xia, Hongfei Lin, Jie Hou, 2019, WWW.

Integrative Network Embedding via Deep Joint Reconstruction

Longbiao Wang, Weixiong Zhang, Liang Yang, 2018, IJCAI.

Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association

Hao Jiang, Liang Yang, Jizhong Xiao, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Multi-Label Learning with Deep Forest pdf

Zhi-Hua Zhou, Liang Yang, Yuan Jiang, 2019, ECAI.

Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology

Liang Yang, Yuanfang Guo, Junhua Gu, 2019, IJCAI.

Globality-Locality Preserving Maximum Variance Extreme Learning Machine

Shaowu Zhang, Xiaochao Fan, Liang Yang, 2019, Complex..

Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction

Xiaochao Fan, Bo Xu, Yufeng Diao, 2019, Neural Computing and Applications.

Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach

Yijia Zhang, Hongfei Lin, Zhihao Yang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hyperspectral image classification with discriminative manifold broad learning system

Hongfei Lin, Xiaochao Fan, Shichang Sun, 2021, Neurocomputing.

Xiaochun Cao, Liang Yang, Huazhu Fu, 2018, IJCAI.

FBSN: A hybrid fine-grained neural network for biomedical event trigger identification

Jian Wang, Xiaochao Fan, Hongfei Lin, 2020, Neurocomputing.

Graph Attention Topic Modeling Network

Xiaochun Cao, Di Jin, Yuanfang Guo, 2020, WWW.

Human parsing by weak structural label

Xiaochun Cao, Si Liu, Liang Yang, 2018, Multimedia Tools and Applications.

Incorporating Sample Filtering into Subject-Based Ensemble Model for Cross-Domain Sentiment Classification

Hongfei Lin, Shaowu Zhang, Liang Yang, 2015, CCL.

Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition

Chen Shen, Xiaochao Fan, Tongxuan Zhang, 2020, Complex..

Adversarial Mutual Information Learning for Network Embedding

Philip S. Yu, Di Jin, Dongxiao He, 2020, IJCAI.

Learning from Weak-Label Data: A Deep Forest Expedition

Liang Yang, Yu-Feng Li, Qian-Wei Wang, 2020, AAAI.

Multi-Component Nonnegative Matrix Factorization

Xiao Wang, Hongchuan Yu, Liang Yang, 2017, IJCAI.

Text Co-Detection in Multi-View Scene

Xiaochun Cao, Huazhu Fu, Chuan Wang, 2020, IEEE Transactions on Image Processing.

Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network

Di Wu, Hongfei Lin, Xiaochao Fan, 2019, WWW.

A Novel Generative Topic Embedding Model by Introducing Network Communities

Di Jin, Dongxiao He, Pengfei Jiao, 2019, WWW.

A hybrid model based on neural networks for biomedical relation extraction

Yijia Zhang, Hongfei Lin, Zhihao Yang, 2018, J. Biomed. Informatics.

CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network

Di Wu, Liang Yang, Yufeng Diao, 2020, Neural Computing and Applications.

Adversarial Capsule Learning for Network Embedding

Dongxiao He, Pengfei Jiao, Di Jin, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Improve Diversity-oriented Biomedical Information Retrieval using Supervised Query Expansion

Yijia Zhang, Hongfei Lin, Zhihao Yang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning to rank for biomedical information retrieval

Hongfei Lin, Zhihao Yang, Bo Xu, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning to Rank with Likelihood Loss Functions

Hongfei Lin, Bo Xu, Yuan Lin, 2016, AIRS.

Hyperspectral image classification based on discriminative locality preserving broad learning system

Chen Shen, Xiaochao Fan, Liang Yang, 2020, Knowl. Based Syst..

Emotion cause detection with enhanced-representation attention convolutional-context network

Hongfei Lin, Liang Yang, Yufeng Diao, 2020, Soft Comput..

Emotion cause detection with enhanced-representation attention convolutional-context network

Di Wu, Yufeng Diao, Liang Yang, 2020, Soft Computing.

Hyperbolic Graph Convolutional Networks for Aspect-Based Sentiment Analysis

H. Zhang, Dongyu Zhang, Liang Yang, 2023, 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI).

Multi-Element Hierarchical Attention Capsule Network for Stock Prediction

Jintao Liu, Bo Xu, Hongfei Lin, 2020, IEEE Access.

Dual Part-pooling Attentive Networks for Session-based Recommendation

Hongfei Lin, Bo Xu, Yufeng Diao, 2021, Neurocomputing.

Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network

Hongfei Lin, Liang Yang, Bo Xu, 2020, Neurocomputing.

A Cross-Domain Sentiment Classification Method Based on Extraction of Key Sentiment Sentence

Hongfei Lin, Shaowu Zhang, Huali Liu, 2015, NLPCC.

AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation

Xiaochao Fan, Hongfei Lin, Yufeng Diao, 2020, NLPCC.

A Knowledge Graph based Bidirectional Recurrent Neural Network Method for Literature-based Discovery

Yijia Zhang, Hongfei Lin, Zhihao Yang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Adversarial Mutual Information Learning for Network Embedding

Philip S. Yu, Dongxiao He, Matthias Schubert, 2020, IJCAI.

SPD: Semi-Supervised Learning and Progressive Distillation for 3-D Detection

Liang Yang, Ailin Wei, Zongming Yang, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Adverse drug reaction detection via a multihop self-attention mechanism

Jian Wang, Yijia Zhang, Hongfei Lin, 2019, BMC Bioinformatics.