Xun Liang

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 64

Top Venues

AAAI

ICASSP

SMC

ACM Trans. Knowl. Discov. Data

Publications

Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). AAAI (2024)
Sensen Zhang, Xun Liang
An radicals construction technique based on dual quaternions and hierarchical transformers. Neurocomputing 604 (2024)
Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li
Internal Consistency and Self-Feedback in Large Language Models: A Survey. CoRR (2024)
Sensen Zhang, Xun Liang, Simin Niu, Junlan Feng, Chen Feng, Mengwei Wang
Temporal Knowledge Graph Embedding using Householder Transformations. ICASSP (2024)
Hui Tang, Xun Liang, Sensen Zhang
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). AAAI (2024)
Xiangping Zheng, Bo Wu, Xun Liang, Wei Li
Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. WWW (2024)
Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). AAAI (2024)
Hui Tang, Xun Liang, Jun Wang, Sensen Zhang
DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection. Inf. Sci. 668 (2024)
Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma
Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views. DASFAA (2) (2023)
Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Xuan Zhang, Hui Tang, Jun Wang
MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training. CogSci (2023)
Aakas Zhiyuli, Yanfang Chen, Xuan Zhang, Xun Liang
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model. CoRR (2023)
Sensen Zhang, Xun Liang, Zhiying Li, Junlan Feng, Xiangping Zheng, Bo Wu
BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion. DASFAA (2) (2023)
Sensen Zhang, Xun Liang, Hui Tang, Xiangping Zheng, Alex X. Zhang, Yuefeng Ma
DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Rui Xu, Xun Liang
Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification. ICASSP (2023)
Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). AAAI (2023)
Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma
Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. ICASSP (2023)
Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu, Sensen Zhang, Zhiying Li
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Xiangping Zheng, Xun Liang, Bo Wu
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). AAAI (2023)
Rui Xu, Xun Liang
Semi-Supervised Local Structured Feature Learning with Dynamic Maximum Entropy Graph. ICASSP (2023)
Yuhui Guo, Xun Liang, Bo Wu, Xiangping Zheng, Xuan Zhang
Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Hui Tang, Xun Liang
Where to Find Fascinating Inter-Graph Supervision: Imbalanced Graph Classification with Kernel Information Bottleneck. ACM Multimedia (2023)
Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang, Yuefeng Ma
A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. SDM (2023)
Xiangping Zheng, Xun Liang, Bo Wu, Junlan Feng, Yuhui Guo, Sensen Zhang
Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences. ICASSP (2023)
Xiangping Zheng, Xun Liang, Bo Wu
Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection. ICASSP (2023)
Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Hui Tang
Adaptive Attention Graph Capsule Network. ICASSP (2022)
Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang, Xiaoping Zhou
Reinforced Sample Selection for Graph Neural Networks Transfer Learning. BIBM (2022)
Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Hui Tang
Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism. ICASSP (2022)
Xiaoping Zhou, Xiangyu Han, Haoran Li, Jia Wang, Xun Liang
Cross-domain image retrieval: methods and applications. Int. J. Multim. Inf. Retr. 11 (3) (2022)
Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo
MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts. ECML/PKDD (2) (2022)
Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang
Graph Capsule Network with a Dual Adaptive Mechanism. SIGIR (2022)
Hui Tang, Xun Liang, Yuhui Guo, Bo Wu, Xiangping Zheng
CoNet: Co-Embedding by Reinforcing Graph Feature and Topology Information. ICME (2022)
Yuhui Guo, Xun Liang, Hui Tang, Xiangping Zheng, Bo Wu, Xuan Zhang
Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation. ECML/PKDD (3) (2022)
Yuhui Guo, Xun Liang, Tang Hui, Bo Wu, Xiangping Zheng
Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation. ICMR (2022)
Xiangping Zheng, Xun Liang, Bo Wu
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). AAAI (2022)
Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu
Graph Fine-Grained Contrastive Representation Learning. ICASSP (2022)
Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo
When True Becomes False: Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities. ACM Multimedia (2022)
Alex X. Zhang, Xun Liang, Bo Wu, Xiangping Zheng, Sensen Zhang, Yuhui Guo, Jun Wang, Xinyao Liu
Eureka: Neural Insight Learning for Knowledge Graph Reasoning. COLING (2022)
Mengting Wang, Xun Liang, Yang Xue
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). AAAI (2021)
Yuefeng Ma, Xun Liang, Gang Sheng, James T. Kwok, Maoli Wang, Guangshun Li
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Yuhui Guo, Xun Liang
RGB-D Scene Recognition based on Object-Scene Relation and Semantics-Preserving Attention. ICMR (2021)
Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng
Graph Ensemble Networks for Semi-supervised Embedding Learning. KSEM (2021)
Yuhui Guo, Xun Liang
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). AAAI (2021)
Chengzhen Zhao, Xun Liang, Hui Zhao
Analysis of the Vaccine Effect on Infectious Diseases by System Dynamics Model. BIBE (2021)
Xiaoping Zhou, Xun Liang, Zhi Tang
Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory. IEEE Trans. Big Data 6 (4) (2020)
Junheng Gao, Xun Liang
Distinguishing Oracle Variants Based on the Isomorphism and Symmetry Invariances of Oracle-Bone Inscriptions. IEEE Access 8 (2020)
Xiaolei Zhao, Xun Liang, Feng Tang, Xuan Zhang, Xiaoping Zhou, Xinyu Guo
Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks. IEEE Access 8 (2020)
Shu-Sen Zhang, Xun Liang, Yu-Dang Wei, Xuan Zhang
On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks. IEEE Trans. Comput. Soc. Syst. 7 (2) (2020)
Xiaoping Zhou, Xun Liang, Xu Zhu, Zhi Tang
Convex Edges in Social Networks. IEEE Trans. Comput. Soc. Syst. 7 (1) (2020)
Xiaoping Zhou, Xun Liang, Jichao Zhao, Haiyan Zhang, Yang Xue
Revisiting the Feld's Friendship Paradox in Online Social Networks. IEEE Access 8 (2020)
Aakas Zhiyuli, Xun Liang, YanFang Chen, Xiaoyong Du
Modeling Large-Scale Dynamic Social Networks via Node Embeddings. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Aakas Zhiyuli, Xun Liang, YanFang Chen
HSEM: highly scalable node embedding for link prediction in very large-scale social networks. World Wide Web 22 (6) (2019)
Xiaoping Zhou, Xun Liang, Jichao Zhao, Aakas Zhiyuli, Haiyan Zhang
Exploration of polygons in online social networks. Clust. Comput. 22 (Supplement) (2019)
Xiaoping Zhou, Xun Liang, Jichao Zhao, Aakas Zhiyuli, Haiyan Zhang
An unsupervised user identification algorithm using network embedding and scalable nearest neighbour. Clust. Comput. 22 (Supplement) (2019)
Aakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou
Joint Learning of Evolving Links for Dynamic Network Embedding. AAAI (2018)
Yuefeng Ma, Xun Liang, James T. Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
VM Based on an Extended Candidate Set. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Xiaoping Zhou, Xun Liang, Xiaoyong Du, Jichao Zhao
Structure Based User Identification across Social Networks. IEEE Trans. Knowl. Data Eng. 30 (6) (2018)
Hua Shen, Xun Liang
A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction. IEA/AIE (2018)
Jinshan Qi, Xun Liang, Rui Xu
A Multiple Kernel Learning Model Based on p-Norm. Comput. Intell. Neurosci. 2018 (2018)
Shu-Sen Zhang, Xun Liang, Xuan Zhang, Rui Xu
On Identification of Organizational and Individual Users Based on Social Content Measurements. IEEE Trans. Comput. Soc. Syst. 5 (4) (2018)
Aakas Zhiyuli, Xun Liang, Zhiming Xu
Learning distributed representations for large-scale dynamic social networks. INFOCOM (2017)
Aakas Zhiyuli, Xun Liang, Xiaoping Zhou
Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. AAAI (2016)
Yuefeng Ma, Xun Liang
Sparse Subspace Clustering via Closure Subgraph Based on Directed Graph. PCM (1) (2016)
Xiaoping Zhou, Xun Liang, Haiyan Zhang, Yuefeng Ma
Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks. IEEE Trans. Knowl. Data Eng. 28 (2) (2016)
Hua Shen, Xun Liang
A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction. ICANN (2) (2016)
Aakas Zhiyuli, Xun Liang, Yige Wang
Discerning the Trend: Concealing Deceptive Reviews. SMC (2015)
Wenjie Huang, Qing Zhang, Wei Xu, Hongjiao Fu, Mingming Wang, Xun Liang
A Novel Trigger Model for Sales Prediction with Data Mining Techniques. Data Sci. J. 14 (2015)
Haiyan Zhang, Chenxi Zhou, Xun Liang, Xi Zhao, Yaping Li
A Novel Edge Weighting Method to Enhance Network Community Detection. SMC (2015)
Chao Ma, Xun Liang
Mining gold in senior executives' pockets: An online automatically trading strategy. ICMLC (2015)
Hua Shen, Xun Liang, Mingming Wang
Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks. SMC (2015)
Chao Ma, Xun Liang, Yuefeng Ma
A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination. SMC (2015)
Ming Gao, Wei Xu, Hongjiao Fu, Mingming Wang, Xun Liang
A Novel Forecasting Method for Large-Scale Sales Prediction Using Extreme Learning Machine. CSO (2014)
Xiaoyang Yao, Xiaolei Sun, Yuying Yang, Dengsheng Wu, Xun Liang
Features Extraction and Reconstruction of Country Risk based on Empirical EMD. ITQM (2014)
Haiyan Zhang, Li Yu, Xun Liang
A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences. PACIS (2014)
Li Yu, Haiyan Zhang, Xun Liang
Collaborative Aggregation of Individual Rating for Group Evaluation. PACIS (2013)
Xun Liang, Yuefeng Ma, Yang Bo He, Li Yu, Rong-Chang Chen, Tao Liu, Xiaoping Yang, Tung-Shou Chen
Fast pruning superfluous support vectors in SVMs. Pattern Recognit. Lett. 34 (10) (2013)
Tianyou Zheng, Xun Liang, Run Cao
The coordinate descent method with stochastic optimization for linear support vector machines. Neural Comput. Appl. 22 (7-8) (2013)
Xun Liang, Rong-Chang Chen, Yang Bo He, Ying Chen
Associating stock prices with web financial information time series based on support vector regression. Neurocomputing 115 (2013)
Run Cao, Xun Liang, Zhihao Ni
Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis. ADMA (2012)
Li Yu, Qiulin Li, Xun Liang
Research on Viral Marketing Propagating Oriented to Marketing Context. ICIS (2012)
Xun Liang, Zhihao Ni
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space. IEEE Trans. Neural Networks 22 (6) (2011)
Xun Liang
Solving Support Vector Machines beyond Dual Programming. ICONIP (2) (2011)
Xun Liang
CRM business cloud computing. ICCC (2011)
Xun Liang
An effective method of pruning support vector machine classifiers. IEEE Trans. Neural Networks 21 (1) (2010)
Ying Chen, Chao Wang, Xun Liang
How external factors influence stock market: A model based SVM. SOLI (2010)
Xun Liang, Rong-Chang Chen
A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation. Neural Comput. Appl. 19 (3) (2010)
Xun Liang
Feature space versus empirical kernel map and row kernel space in SVMs. Neural Comput. Appl. 19 (3) (2010)
Xun Liang, Chao Wang
Separating hypersurfaces of SVMs in input spaces. Pattern Recognit. Lett. 30 (5) (2009)
Xun Liang, Haisheng Zhang, Xiang Li
A Simple Method of Forecasting Option Prices Based on Neural Networks. IEA/AIE (2009)
Xun Liang, Haisheng Zhang, Jianguo Xiao, Ying Chen
Improving option price forecasts with neural networks and support vector regressions. Neurocomputing 72 (13-15) (2009)
Xun Liang, Rong-Chang Chen, Jian Yang
An architecture-adaptive neural network online control system. Neural Comput. Appl. 17 (4) (2008)
Xun Liang, Rong-Chang Chen, Xinyu Guo
Pruning Support Vector Machines Without Altering Performances. IEEE Trans. Neural Networks 19 (10) (2008)
Xun Liang, Yang Bo He, Rong-Chang Chen, Jian Yang
Pricing local search engines for company websites. Electron. Commer. Res. Appl. 7 (4) (2008)
Kui Hu, Zhi Tang, Xun Liang
The valuation of china venture capital guiding fund policy based on options model. SMC (2007)
Xun Liang
Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation. Neural Comput. Appl. 16 (1) (2007)
Xinyu Guo, Xun Liang, Xiang Li
A Stock Pattern Recognition Algorithm Based on Neural Networks. ICNC (2) (2007)
Xun Liang
Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy. ISNN (2) (2006)
Xun Liang, Haisheng Zhang, Jian Yang
Pricing Options in Hong Kong Market Based on Neural Networks. ICONIP (3) (2006)
Xun Liang
Mining associations between web stock news volumes and stock prices. Int. J. Syst. Sci. 37 (13) (2006)
Xun Liang
Impacts of Internet Stock News on Stock Markets Based on Neural Networks. ISNN (2) (2005)
Yang Bo He, Zhi Geng, Xun Liang
Learning Causal Structures Based on Markov Equivalence Class. ALT (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xun Liang