Xianchao Zhang

According to our database, Xianchao Zhang authored at least 137 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Self-Supervised Deep Multiview Spectral Clustering.

Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, Bo Xu

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding.

Linlin Zong, Jinglin Zhang, Jiahui Zhou, Xianchao Zhang, Bo Xu

Appl. Intell., February, 2024

Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning.

Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Online Class-incremental Continual Learning with Maximum Entropy Memory Update.

Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-modal Deep Emotion-Cause Pair Extraction for Video Corpus.

Qianli Zhao, Linlin Zong, Bo Xu, Xianchao Zhang, Xinyue Liu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Continual Learning with Class-Level Minimally Interfered Update.

Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong

Proceedings of the IEEE International Conference on Acoustics, 2024

RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion.

Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection.

Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang, Bo Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Video-Context Aligned Transformer for Video Question Answering.

Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Goal Interaction Graph Planning Framework for Conversational Recommendation.

Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Depression Detection via Capsule Networks with Contrastive Learning.

Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Graph Convolution Methods for Attributed Graph Clustering.

Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang

IEEE Trans. Knowl. Data Eng., December, 2023

BCRNet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems.

Jie Mu, Xianchao Zhang, Yujiao Du, Yuxiang Hu, Han Liu, Jian Xu

Neurocomputing, 2023

Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering.

Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text.

Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors.

Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TRICL: Triplet Continual Learning.

Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations.

Xiaotong Zhang, Peng He, Han Liu, Zhengxi Yin, Xinyue Liu, Xianchao Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network.

Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Early Depression Detection Model on Social Media using Emotional and Causal Features.

Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Boosting Few-Shot Text Classification via Distribution Estimation.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack.

Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep anomaly detection with self-supervised learning and adversarial training.

Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li

Pattern Recognit., 2022

Attributed graph clustering with multi-task embedding learning.

Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu

Neural Networks, 2022

Graph Clustering With Graph Capsule Network.

Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang

Neural Comput., 2022

Social Spammer Detection via Convex Nonnegative Matrix Factorization.

Hua Shen, Bangyu Wang, Xinyue Liu, Xianchao Zhang

IEEE Access, 2022

A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Data-Efficient Deep Reinforcement Learning with Symmetric Consistency.

Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Spectral embedding network for attributed graph clustering.

Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu

Neural Networks, 2021

Incomplete multi-view clustering with partially mapped instances and clusters.

Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu

Knowl. Based Syst., 2021

Deep neural network for text anomaly detection in SIoT.

Jie Mu, Xianchao Zhang, Yuangang Li, Jun Guo

Comput. Commun., 2021

RPC: Representative possible world based consistent clustering algorithm for uncertain data.

Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu

Comput. Commun., 2021

Class-based Core Feature Extraction Network for Few-shot Classification.

Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

FedCMR: Federated Cross-Modal Retrieval.

Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-supervised Graph Representation Learning with Variational Inference.

Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Maintaining Consistency with Constraints: A Constrained Deep Clustering Method.

Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Graphnet: Graph Clustering with Deep Neural Networks.

Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang

Proceedings of the IEEE International Conference on Acoustics, 2021

An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis.

Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Multi-view clustering on data with partial instances and clusters.

Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

Neural Networks, 2020

Multi-view clustering via clusterwise weights learning.

Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

Knowl. Based Syst., 2020

Constructing biomedical domain-specific knowledge graph with minimum supervision.

Jianbo Yuan, Zhiwei Jin, Han Guo, Hongxia Jin, Xianchao Zhang, Tristram H. Smith, Jiebo Luo

Knowl. Inf. Syst., 2020

Incomplete multi-view spectral clustering.

Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

J. Intell. Fuzzy Syst., 2020

A Multimodal Clustering Framework With Cross Reconstruction Autoencoders.

Qianli Zhao, Linlin Zong, Xianchao Zhang, Yuangang Li, Xiaorui Tang

IEEE Access, 2020

A Literature Survey and Empirical Study of Meta-Learning for Classifier Selection.

Irfan Khan, Xianchao Zhang, Mobashar Rehman, Rahman Ali

IEEE Access, 2020

Deep Multimodal Clustering with Cross Reconstruction.

Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

End-To-End Deep Multimodal Clustering.

Xianchao Zhang, Jie Mu, Linlin Zong, Xiaochun Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

ECycleGAN: Enhanced Cycle-Consistent Generative Adversarial Networks.

Xianchao Zhang, Changjia Zhou

Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Multimodal Clustering via Deep Commonness and Uniqueness Mining.

Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data.

Han Liu, Xianchao Zhang, Xiaotong Zhang

Knowl. Based Syst., 2019

Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning.

Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu

CoRR, 2019

One Shot Learning with Margin.

Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Protein Complexes Detection Based on Deep Neural Network.

Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks.

Xiao Li, Wenxin Liang, Xianchao Zhang, Xinyue Liu, Weili Wu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Partially Related Multi-Task Clustering.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu

IEEE Trans. Knowl. Data Eng., 2018

Multi-view clustering on unmapped data via constrained non-negative matrix factorization.

Linlin Zong, Xianchao Zhang, Xinyue Liu

Neural Networks, 2018

Possible world based consistency learning model for clustering and classifying uncertain data.

Han Liu, Xianchao Zhang, Xiaotong Zhang

Neural Networks, 2018

Supervised ranking framework for relationship prediction in heterogeneous information networks.

Wenxin Liang, Xiao Li, Xiaosong He, Xinyue Liu, Xianchao Zhang

Appl. Intell., 2018

GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts.

Wenxin Liang, Ran Feng, Xinyue Liu, Yuangang Li, Xianchao Zhang

IEEE Access, 2018

Multi-Task Clustering with Model Relation Learning.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Adaptive Hierarchical Compositional Model for Phrase Embedding.

Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Weighted Multi-View Spectral Clustering Based on Spectral Perturbation.

Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-view clustering via multi-manifold regularized non-negative matrix factorization.

Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao

Neural Networks, 2017

Novel density-based and hierarchical density-based clustering algorithms for uncertain data.

Xianchao Zhang, Han Liu, Xiaotong Zhang

Neural Networks, 2017

Self-adapted mixture distance measure for clustering uncertain data.

Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui

Knowl. Based Syst., 2017

Multi-task clustering through instances transfer.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu

Neurocomputing, 2017

Discovering social spammers from multiple views.

Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang

Neurocomputing, 2017

A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data.

Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model.

Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Joining External Context Characters to Improve Chinese Word Embedding.

Xianchao Zhang, Shike Liu, Yuangang Li, Wenxin Liang

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Recognize the Same Users across Multiple Online Social Networks.

Siqi Li, Wenxin Liang, Xianchao Zhang

Proceedings of the Recent Advances in Information and Communication Technology 2017, 2017

One-shot learning for fine-grained relation extraction via convolutional siamese neural network.

Jianbo Yuan, Han Guo, Zhiwei Jin, Hongxia Jin, Xianchao Zhang, Jiebo Luo

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Detecting Spam and Promoting Campaigns in Twitter.

Xianchao Zhang, Zhaoxing Li, Shaoping Zhu, Wenxin Liang

ACM Trans. Web, 2016

Constrained Clustering With Nonnegative Matrix Factorization.

Xianchao Zhang, Linlin Zong, Xinyue Liu, Jiebo Luo

IEEE Trans. Neural Networks Learn. Syst., 2016

Multi-Task Multi-View Clustering.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu

IEEE Trans. Knowl. Data Eng., 2016

Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis.

Xianchao Zhang, Linlin Zong, Quanzeng You, Xing Yong

ACM Trans. Knowl. Discov. Data, 2016

Local linear neighbor reconstruction for multi-view data.

Linlin Zong, Xianchao Zhang, Hong Yu, Qianli Zhao, Feng Ding

Pattern Recognit. Lett., 2016

Constraint Based Subspace Clustering for High Dimensional Uncertain Data.

Xianchao Zhang, Lu Gao, Hong Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Social Spam Detection Framework via Semi-supervised Learning.

Xianchao Zhang, Haijun Bai, Wenxin Liang

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Heterogeneous Information Networks Bi-clustering with Similarity Regularization.

Xianchao Zhang, Haixin Li, Wenxin Liang, Linlin Zong, Xinyue Liu

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

Self-Adapted Multi-Task Clustering.

Xianchao Zhang, Xiaotong Zhang, Han Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

S-Rank: A Supervised Ranking Framework for Relationship Prediction in Heterogeneous Information Networks.

Wenxin Liang, Xiaosong He, Dongdong Tang, Xianchao Zhang

Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization.

Xianchao Zhang, Haixin Li, Wenxin Liang, Jiebo Luo

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A Multifaceted Approach to Social Multimedia-Based Prediction of Elections.

Quanzeng You, Liangliang Cao, Yang Cong, Xianchao Zhang, Jiebo Luo

IEEE Trans. Multim., 2015

Smart Multitask Bregman Clustering and Multitask Kernel Clustering.

Xianchao Zhang, Xiaotong Zhang, Han Liu

ACM Trans. Knowl. Discov. Data, 2015

Differential Trust Propagation with Community Discovery for Link-Based Web Spam Demotion.

Xianchao Zhang, Yafei Feng, Hua Shen, Wenxin Liang

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation.

Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

A Semi-Supervised Framework for Social Spammer Detection.

Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Manifold Regularized Symmetric Joint Link Model for Overlapping Community Detection.

Hao Chen, Xianchao Zhang, Wenxin Liang, Feng Ding

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

GCM: A Greedy-Based Cross-Matching Algorithm for Identifying Users Across Multiple Online Social Networks.

Wenxin Liang, Bo Meng, Xiaosong He, Xianchao Zhang

Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2015

Multi-Task Multi-View Clustering for Non-Negative Data.

Xianchao Zhang, Xiaotong Zhang, Han Liu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

UserGreedy: Exploiting the Activation Set to Solve Influence Maximization Problem.

Wenxin Liang, Chengguang Shen, Xianchao Zhang

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Constrained NMF-Based Multi-View Clustering on Unmapped Data.

Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Propagating Both Trust and Distrust with Target Differentiation for Combating Link-Based Web Spam.

Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang

ACM Trans. Web, 2014

Multiple Feature-Sets Method for Dependency Parsing.

Xianchao Zhang, Dong Du, Xinyue Liu, Wenxin Liang

Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization.

Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search.

Wenxin Liang, Yuanyuan Gan, Xianchao Zhang

Proceedings of the Databases Theory and Applications, 2014

Novel Density-Based Clustering Algorithms for Uncertain Data.

Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Automatic seed set expansion for trust propagation based anti-spam algorithms.

Xianchao Zhang, Wenxin Liang, Shaoping Zhu, Bo Han

Inf. Sci., 2013

Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering.

Xianchao Zhang, Xiaotong Zhang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Guest Editorial.

Xianchao Zhang, Wenxin Liang, Feng Xia

J. Comput., 2012

An Extended ISOMAP by Enhancing Similarity for Clustering.

Hong Yu, Xianchao Zhang, Yuansheng Yang, Xiaowei Zhao, Lei Cai

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Detecting Spam and Promoting Campaigns in the Twitter Social Network.

Xianchao Zhang, Shaoping Zhu, Wenxin Liang

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Local density adaptive similarity measurement for spectral clustering.

Xianchao Zhang, Jingwei Li, Hong Yu

Pattern Recognit. Lett., 2011

Guest Editorial.

Xianchao Zhang, Feng Xia

J. Softw., 2011

Exploiting constraint inconsistence for dimension selection in subspace clustering: A semi-supervised approach.

Xianchao Zhang, Yang Qiu, Yao Wu

Neurocomputing, 2011

An improved spectral clustering algorithm based on random walk.

Xianchao Zhang, Quanzeng You

Frontiers Comput. Sci. China, 2011

Active Semi-supervised Spectral Clustering.

Xinyue Liu, Linlin Zong, Xianchao Zhang, Hongfei Lin

Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

Scalable Seed Expansion for Identifying Web Communities.

Min Han, Hong Shen, Xianchao Zhang

Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

Clusterability Analysis and Incremental Sampling for Nyström Extension Based Spectral Clustering.

Xianchao Zhang, Quanzeng You

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Extracting Local Community Structure from Local Cores.

Xianchao Zhang, Liang Wang, Yueting Li, Wenxin Liang

Proceedings of the Database Systems for Adanced Applications, 2011

Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam.

Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Detection of Web Communities from Community Cores.

Xianchao Zhang, Liang Wang, Yueting Li, Wenxin Liang

Proceedings of the Web Information Systems Engineering - WISE 2010 Workshops, 2010

An Efficient Content Delivery Algorithm for Intermittently Connected Mobile Ad Hoc Networks.

Hui Tian, Fenghang Yin, Xianchao Zhang

Proceedings of the Third International Symposium on Parallel Architectures, 2010

Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional Data.

Xianchao Zhang, Yao Wu, Yang Qiu

Proceedings of the ICDM 2010, 2010

Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation.

Xianchao Zhang, Yansheng Jiang, Wenxin Liang, Xin Han

Proceedings of the ICDM 2010, 2010

Extracting Local Web Communities Using Lexical Similarity.

Xianchao Zhang, Wen Xu, Wenxin Liang

Proceedings of the Database Systems for Advanced Applications, 2010

C&C: An Effective Algorithm for Extracting Web Community Cores.

Xianchao Zhang, Yueting Li, Wenxin Liang

Proceedings of the Database Systems for Advanced Applications, 2010

2009

Automatic seed set expansion for trust propagation based anti-spamming algorithms.

Xianchao Zhang, Bo Han, Wenxin Liang

Proceedings of the 11th ACM International Workshop on Web Information and Data Management (WIDM 2009), 2009

Dynamically Maintaining Duplicate-Insensitive and Time-Decayed Sum Using Time-Decaying Bloom Filter.

Yu Zhang, Hong Shen, Hui Tian, Xianchao Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2009

Multi-Robot Dynamic Task Allocation Using Modified Ant Colony System.

Zhenzhen Xu, Feng Xia, Xianchao Zhang

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008

Backbone analysis and algorithm design for the quadratic assignment problem.

He Jiang, Xianchao Zhang, Guoliang Chen, Mingchu Li

Sci. China Ser. F Inf. Sci., 2008

A Creditable Subspace Labeling Method Based on D-S Evidence Theory.

Yu Zong, Xianchao Zhang, He Jiang, Mingchu Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A Ranking Algorithm via Changing Markov Probability Matrix Based on Distribution Factor.

Xianchao Zhang, Xinxin Fan, Xinyue Liu, Hong Yu

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

An Improved Random Walk Algorithm Based on Correlation Coefficient to Find Scientific Communities.

Hong Yu, Xiaoliang Yang, Xianchao Zhang, Yuansheng Yang

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Computing Maximum Flows in Undirected Planar Networks with Both Edge and Vertex Capacities.

Xianchao Zhang, Weifa Liang, Guoliang Chen

Proceedings of the Computing and Combinatorics, 14th Annual International Conference, 2008

An approximate muscle guided global optimization algorithm for the Three-Index Assignment Problem.

He Jiang, Jifeng Xuan, Xianchao Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

A Clustering Algorithm Based on Mechanics.

Xianchao Zhang, He Jiang, Xinyue Liu, Hong Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

An Improved Weighted HITS Algorithm Based on Similarity and Popularity.

Xianchao Zhang, Hong Yu, Cong Zhang, Xinyue Liu

Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

A Hybrid Approach to License Plate Segmentation under Complex Conditions.

Xianchao Zhang, Xinyue Liu, He Jiang

Proceedings of the Third International Conference on Natural Computation, 2007

Data Set Homeomorphism Transformation Based Meta-clustering.

Xianchao Zhang, Yu Zong, He Jiang, Xinyue Liu

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Using Gavish-Grave LP to Formulate the Directed Black and White Traveling Salesman Problem.

He Jiang, Xianchao Zhang, Mingchu Li, Haoyang Che

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Backbone of the p-Median Problem.

He Jiang, Xianchao Zhang, Mingchu Li

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Flow equivalent trees in undirected node-edge-capacitated planar graphs.

Xianchao Zhang, Weifa Liang, He Jiang

Inf. Process. Lett., 2006

2004

Max-Flow Problem in Undirected Planar Networks with Node Capacities Being in NC.

Xianchao Zhang, Ying-Yu Wan, Guo-Liang Chen

J. Comput. Sci. Technol., 2004