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ORCIDXianchao Zhang 0001
张宪超
Person information
- unicode name: 张宪超
- affiliation: Dalian University of Technology, School of Software, China
- affiliation (PhD 2000): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Xianchao Zhang 0002
![[0000-0001-8925-8371]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8925-8371")
— Jiaxing University, Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province, China (and 1 more) - Xianchao Zhang 0003 — China Academy of Electronics and Information Technology, Beijing, China
- Xianchao Zhang 0004 — Sichuan Normal University, College of Computer Science, Chengdu, China
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2020 – today
- 2024
[j46]Linlin Zong, Jinglin Zhang, Jiahui Zhou, Xianchao Zhang, Bo Xu:
Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding. Appl. Intell. 54(3): 2703-2715 (2024)- [j45]Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, Bo Xu:
Self-Supervised Deep Multiview Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4299-4308 (2024) - [c89]Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI 2024: 18644-18652 - [c88]Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang:
A Goal Interaction Graph Planning Framework for Conversational Recommendation. AAAI 2024: 19578-19587 - [c87]Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu:
Video-Context Aligned Transformer for Video Question Answering. AAAI 2024: 19795-19803 - [c86]Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Depression Detection via Capsule Networks with Contrastive Learning. AAAI 2024: 22231-22239 - [c85]Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang, Bo Xu:
Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. ACL (Findings) 2024: 10817-10826 - [c84]Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu:
RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. LREC/COLING 2024: 13919-13928 - [c83]Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong:
Continual Learning with Class-Level Minimally Interfered Update. ICASSP 2024: 7460-7464 - [c82]Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang:
Online Class-incremental Continual Learning with Maximum Entropy Memory Update. IJCNN 2024: 1-8 - [c81]Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang:
Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning. SIGIR 2024: 2482-2486 - [i8]Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. CoRR abs/2402.01806 (2024) - [i7]Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR abs/2405.03565 (2024) - 2023
- [j44]Jie Mu, Xianchao Zhang, Yujiao Du, Yuxiang Hu, Han Liu, Jian Xu:
BCRNet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems. Neurocomputing 548: 126409 (2023) - [j43]Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang:
Adaptive Graph Convolution Methods for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35(12): 12384-12399 (2023) - [c80]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Few-Shot Text Classification via Distribution Estimation. AAAI 2023: 13219-13227 - [c79]Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI 2023: 13228-13235 - [c78]Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu:
An Early Depression Detection Model on Social Media using Emotional and Causal Features. BIBM 2023: 4856-4858 - [c77]Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang:
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM 2023: 4105-4109 - [c76]Xiaotong Zhang, Peng He, Han Liu, Zhengxi Yin, Xinyue Liu, Xianchao Zhang:
Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations. ICASSP 2023: 1-5 - [c75]Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang:
TRICL: Triplet Continual Learning. ICASSP 2023: 1-5 - [c74]Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI 2023: 1195-1203 - [c73]Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS 2023 - [c72]Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong:
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. PAKDD (1) 2023: 223-235 - [i6]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Few-Shot Text Classification via Distribution Estimation. CoRR abs/2303.16764 (2023) - [i5]Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR abs/2310.19038 (2023) - 2022
- [j42]Hua Shen, Bangyu Wang, Xinyue Liu, Xianchao Zhang:
Social Spammer Detection via Convex Nonnegative Matrix Factorization. IEEE Access 10: 91192-91202 (2022) - [j41]Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang:
Graph Clustering With Graph Capsule Network. Neural Comput. 34(5): 1256-1287 (2022) - [j40]Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu:
Attributed graph clustering with multi-task embedding learning. Neural Networks 152: 224-233 (2022) - [j39]Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li:
Deep anomaly detection with self-supervised learning and adversarial training. Pattern Recognit. 121: 108234 (2022) - [c71]Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang:
Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. ICPR 2022: 2430-2436 - [c70]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang:
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. KDD 2022: 1079-1087 - [c69]Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang:
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. SIGIR 2022: 2047-2052 - [i4]Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang:
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. CoRR abs/2206.02179 (2022) - [i3]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang:
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. CoRR abs/2206.13980 (2022) - 2021
- [j38]Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu:
RPC: Representative possible world based consistent clustering algorithm for uncertain data. Comput. Commun. 176: 128-137 (2021) - [j37]Jie Mu, Xianchao Zhang, Yuangang Li, Jun Guo:
Deep neural network for text anomaly detection in SIoT. Comput. Commun. 178: 286-296 (2021) - [j36]Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu:
Incomplete multi-view clustering with partially mapped instances and clusters. Knowl. Based Syst. 212: 106615 (2021) - [j35]Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu:
Spectral embedding network for attributed graph clustering. Neural Networks 142: 388-396 (2021) - [c68]Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu:
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. CVPR 2021: 6519-6528 - [c67]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang:
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. EMNLP (Findings) 2021: 1945-1955 - [c66]Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang:
Graphnet: Graph Clustering with Deep Neural Networks. ICASSP 2021: 3800-3804 - [c65]Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang:
Self-supervised Graph Representation Learning with Variational Inference. PAKDD (3) 2021: 116-127 - [c64]Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu:
Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. PAKDD (2) 2021: 219-230 - [c63]Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu:
FedCMR: Federated Cross-Modal Retrieval. SIGIR 2021: 1672-1676 - [c62]Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu:
Class-based Core Feature Extraction Network for Few-shot Classification. SMC 2021: 2102-2108 - [i2]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang:
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. CoRR abs/2110.13691 (2021) - 2020
- [j34]Irfan Khan, Xianchao Zhang, Mobashar Rehman, Rahman Ali:
A Literature Survey and Empirical Study of Meta-Learning for Classifier Selection. IEEE Access 8: 10262-10281 (2020) - [j33]Qianli Zhao, Linlin Zong, Xianchao Zhang, Yuangang Li, Xiaorui Tang:
A Multimodal Clustering Framework With Cross Reconstruction Autoencoders. IEEE Access 8: 218433-218443 (2020) - [j32]Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Incomplete multi-view spectral clustering. J. Intell. Fuzzy Syst. 38(3): 2991-3001 (2020) - [j31]Jianbo Yuan, Zhiwei Jin, Han Guo, Hongxia Jin, Xianchao Zhang, Tristram H. Smith, Jiebo Luo:
Constructing biomedical domain-specific knowledge graph with minimum supervision. Knowl. Inf. Syst. 62(1): 317-336 (2020) - [j30]Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Multi-view clustering via clusterwise weights learning. Knowl. Based Syst. 193: 105459 (2020) - [j29]Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Multi-view clustering on data with partial instances and clusters. Neural Networks 129: 19-30 (2020) - [c61]Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu:
Multimodal Clustering via Deep Commonness and Uniqueness Mining. CIKM 2020: 2357-2360 - [c60]Xianchao Zhang, Changjia Zhou:
ECycleGAN: Enhanced Cycle-Consistent Generative Adversarial Networks. ICCAI 2020: 374-379 - [c59]Xianchao Zhang, Jie Mu, Linlin Zong, Xiaochun Yang:
End-To-End Deep Multimodal Clustering. ICME 2020: 1-6 - [c58]Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu:
Deep Multimodal Clustering with Cross Reconstruction. PAKDD (1) 2020: 305-317
2010 – 2019
- 2019
- [j28]Han Liu, Xianchao Zhang, Xiaotong Zhang:
PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data. Knowl. Based Syst. 186 (2019) - [c57]Xiao Li, Wenxin Liang, Xianchao Zhang, Xinyue Liu, Weili Wu:
A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks. ICDCS 2019: 1210-1220 - [c56]Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu:
Protein Complexes Detection Based on Deep Neural Network. PAKDD (Workshops) 2019: 164-178 - [c55]Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang:
One Shot Learning with Margin. PAKDD (2) 2019: 305-317 - [i1]Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu:
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR abs/1909.12514 (2019) - 2018
- [j27]Wenxin Liang, Ran Feng, Xinyue Liu, Yuangang Li, Xianchao Zhang:
GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts. IEEE Access 6: 43612-43621 (2018) - [j26]Wenxin Liang, Xiao Li, Xiaosong He, Xinyue Liu, Xianchao Zhang:
Supervised ranking framework for relationship prediction in heterogeneous information networks. Appl. Intell. 48(5): 1111-1127 (2018) - [j25]Han Liu, Xianchao Zhang, Xiaotong Zhang:
Possible world based consistency learning model for clustering and classifying uncertain data. Neural Networks 102: 48-66 (2018) - [j24]Linlin Zong, Xianchao Zhang, Xinyue Liu:
Multi-view clustering on unmapped data via constrained non-negative matrix factorization. Neural Networks 108: 155-171 (2018) - [j23]Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu:
Partially Related Multi-Task Clustering. IEEE Trans. Knowl. Data Eng. 30(12): 2367-2380 (2018) - [c54]Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. AAAI 2018: 4621-4629 - [c53]Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo:
Multi-Task Clustering with Model Relation Learning. IJCAI 2018: 3132-3140 - [c52]Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang:
An Adaptive Hierarchical Compositional Model for Phrase Embedding. IJCAI 2018: 4144-4151 - 2017
- [j22]Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang:
Discovering social spammers from multiple views. Neurocomputing 225: 49-57 (2017) - [j21]Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu:
Multi-task clustering through instances transfer. Neurocomputing 251: 145-155 (2017) - [j20]Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui:
Self-adapted mixture distance measure for clustering uncertain data. Knowl. Based Syst. 126: 33-47 (2017) - [j19]Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao:
Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks 88: 74-89 (2017) - [j18]Xianchao Zhang, Han Liu, Xiaotong Zhang:
Novel density-based and hierarchical density-based clustering algorithms for uncertain data. Neural Networks 93: 240-255 (2017) - [c51]Jianbo Yuan, Han Guo, Zhiwei Jin, Hongxia Jin, Xianchao Zhang, Jiebo Luo:
One-shot learning for fine-grained relation extraction via convolutional siamese neural network. IEEE BigData 2017: 2194-2199 - [c50]Siqi Li, Wenxin Liang, Xianchao Zhang:
Recognize the Same Users across Multiple Online Social Networks. IC2IT 2017: 327-336 - [c49]Xianchao Zhang, Shike Liu, Yuangang Li, Wenxin Liang:
Joining External Context Characters to Improve Chinese Word Embedding. ISNN (2) 2017: 405-415 - [c48]Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang:
A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. PAKDD (Workshops) 2017: 176-188 - [c47]Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang:
SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model. PAKDD (Workshops) 2017: 189-201 - 2016
- [j17]Linlin Zong, Xianchao Zhang, Hong Yu, Qianli Zhao, Feng Ding:
Local linear neighbor reconstruction for multi-view data. Pattern Recognit. Lett. 84: 56-62 (2016) - [j16]Xianchao Zhang, Linlin Zong, Quanzeng You, Xing Yong:
Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis. ACM Trans. Knowl. Discov. Data 11(1): 7:1-7:25 (2016) - [j15]Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu:
Multi-Task Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 28(12): 3324-3338 (2016) - [j14]Xianchao Zhang, Linlin Zong, Xinyue Liu, Jiebo Luo:
Constrained Clustering With Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1514-1526 (2016) - [j13]Xianchao Zhang, Zhaoxing Li, Shaoping Zhu, Wenxin Liang:
Detecting Spam and Promoting Campaigns in Twitter. ACM Trans. Web 10(1): 4:1-4:28 (2016) - [c46]Xianchao Zhang, Haixin Li, Wenxin Liang, Jiebo Luo:
Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization. ICDM 2016: 1353-1358 - [c45]Wenxin Liang, Xiaosong He, Dongdong Tang, Xianchao Zhang:
S-Rank: A Supervised Ranking Framework for Relationship Prediction in Heterogeneous Information Networks. IEA/AIE 2016: 305-319 - [c44]Xianchao Zhang, Xiaotong Zhang, Han Liu:
Self-Adapted Multi-Task Clustering. IJCAI 2016: 2357-2363 - [c43]Xianchao Zhang, Haixin Li, Wenxin Liang, Linlin Zong, Xinyue Liu:
Heterogeneous Information Networks Bi-clustering with Similarity Regularization. PAISI 2016: 19-30 - [c42]Xianchao Zhang, Haijun Bai, Wenxin Liang:
A Social Spam Detection Framework via Semi-supervised Learning. PAKDD Workshops 2016: 214-226 - [c41]Xianchao Zhang, Lu Gao, Hong Yu:
Constraint Based Subspace Clustering for High Dimensional Uncertain Data. PAKDD (2) 2016: 271-282 - 2015
- [j12]Xianchao Zhang, Xiaotong Zhang, Han Liu:
Smart Multitask Bregman Clustering and Multitask Kernel Clustering. ACM Trans. Knowl. Discov. Data 10(1): 8:1-8:29 (2015) - [j11]Quanzeng You, Liangliang Cao, Yang Cong, Xianchao Zhang, Jiebo Luo:
A Multifaceted Approach to Social Multimedia-Based Prediction of Elections. IEEE Trans. Multim. 17(12): 2271-2280 (2015) - [c40]Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu:
Constrained NMF-Based Multi-View Clustering on Unmapped Data. AAAI 2015: 3174-3180 - [c39]Wenxin Liang, Chengguang Shen, Xianchao Zhang:
UserGreedy: Exploiting the Activation Set to Solve Influence Maximization Problem. APWeb 2015: 548-559 - [c38]Xianchao Zhang, Xiaotong Zhang, Han Liu:
Multi-Task Multi-View Clustering for Non-Negative Data. IJCAI 2015: 4055-4061 - [c37]Wenxin Liang, Bo Meng, Xiaosong He, Xianchao Zhang:
GCM: A Greedy-Based Cross-Matching Algorithm for Identifying Users Across Multiple Online Social Networks. PAISI 2015: 51-70 - [c36]Hao Chen, Xianchao Zhang, Wenxin Liang, Feng Ding:
Manifold Regularized Symmetric Joint Link Model for Overlapping Community Detection. PAKDD Workshops 2015: 53-65 - [c35]Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He:
High Dimensional Explicit Feature Biased Matrix Factorization Recommendation. PAKDD Workshops 2015: 66-77 - [c34]Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He:
A Semi-Supervised Framework for Social Spammer Detection. PAKDD (2) 2015: 177-188 - [c33]Xianchao Zhang, Yafei Feng, Hua Shen, Wenxin Liang:
Differential Trust Propagation with Community Discovery for Link-Based Web Spam Demotion. WAIM 2015: 452-456 - 2014
- [j10]Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang:
Propagating Both Trust and Distrust with Target Differentiation for Combating Link-Based Web Spam. ACM Trans. Web 8(3): 15:1-15:33 (2014) - [c32]Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu:
Novel Density-Based Clustering Algorithms for Uncertain Data. AAAI 2014: 2191-2197 - [c31]Wenxin Liang, Yuanyuan Gan, Xianchao Zhang:
XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search. ADC 2014: 206-213 - [c30]Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu:
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. ICDM 2014: 1103-1108 - [c29]Xianchao Zhang, Dong Du, Xinyue Liu, Wenxin Liang:
Multiple Feature-Sets Method for Dependency Parsing. PAAP 2014: 57-62 - 2013
- [j9]Xianchao Zhang, Wenxin Liang, Shaoping Zhu, Bo Han:
Automatic seed set expansion for trust propagation based anti-spam algorithms. Inf. Sci. 232: 167-187 (2013) - [c28]Xianchao Zhang, Xiaotong Zhang:
Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering. AAAI 2013: 1034-1040 - 2012
- [j8]Xianchao Zhang, Wenxin Liang, Feng Xia:
Guest Editorial. J. Comput. 7(1): 1-2 (2012) - [c27]Xianchao Zhang, Shaoping Zhu, Wenxin Liang:
Detecting Spam and Promoting Campaigns in the Twitter Social Network. ICDM 2012: 1194-1199 - [c26]Hong Yu, Xianchao Zhang, Yuansheng Yang, Xiaowei Zhao, Lei Cai:
An Extended ISOMAP by Enhancing Similarity for Clustering. IEA/AIE 2012: 808-815 - 2011
- [j7]Xianchao Zhang, Quanzeng You:
An improved spectral clustering algorithm based on random walk. Frontiers Comput. Sci. China 5(3): 268-278 (2011) - [j6]Xianchao Zhang, Yang Qiu, Yao Wu:
Exploiting constraint inconsistence for dimension selection in subspace clustering: A semi-supervised approach. Neurocomputing 74(17): 3598-3608 (2011) - [j5]Xianchao Zhang, Feng Xia:
Guest Editorial. J. Softw. 6(12): 2329-2330 (2011) - [j4]Xianchao Zhang, Jingwei Li, Hong Yu:
Local density adaptive similarity measurement for spectral clustering. Pattern Recognit. Lett. 32(2): 352-358 (2011) - [c25]Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang:
Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam. AAAI 2011: 1292-1297 - [c24]Xianchao Zhang, Liang Wang, Yueting Li, Wenxin Liang:
Extracting Local Community Structure from Local Cores. DASFAA Workshops 2011: 287-298 - [c23]Xianchao Zhang, Quanzeng You:
Clusterability Analysis and Incremental Sampling for Nyström Extension Based Spectral Clustering. ICDM 2011: 942-951 - [c22]Xinyue Liu, Linlin Zong, Xianchao Zhang, Hongfei Lin:
Active Semi-supervised Spectral Clustering. PAAP 2011: 95-99 - [c21]Min Han, Hong Shen, Xianchao Zhang:
Scalable Seed Expansion for Identifying Web Communities. PAAP 2011: 141-145 - 2010
- [c20]Xianchao Zhang, Yueting Li, Wenxin Liang:
C&C: An Effective Algorithm for Extracting Web Community Cores. DASFAA Workshops 2010: 316-326 - [c19]Xianchao Zhang, Wen Xu, Wenxin Liang:
Extracting Local Web Communities Using Lexical Similarity. DASFAA Workshops 2010: 327-337 - [c18]Xianchao Zhang, Yao Wu, Yang Qiu:
Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional Data. ICDM 2010: 629-638 - [c17]Xianchao Zhang, Yansheng Jiang, Wenxin Liang, Xin Han:
Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation. ICDM 2010: 1181-1186 - [c16]Hui Tian, Fenghang Yin, Xianchao Zhang:
An Efficient Content Delivery Algorithm for Intermittently Connected Mobile Ad Hoc Networks. PAAP 2010: 10-14 - [c15]Xianchao Zhang, Liang Wang, Yueting Li, Wenxin Liang:
Detection of Web Communities from Community Cores. WISE Workshops 2010: 351-364
2000 – 2009
- 2009
- [c14]Zhenzhen Xu, Feng Xia, Xianchao Zhang:
Multi-Robot Dynamic Task Allocation Using Modified Ant Colony System. AICI 2009: 288-297 - [c13]Yu Zhang, Hong Shen, Hui Tian, Xianchao Zhang:
Dynamically Maintaining Duplicate-Insensitive and Time-Decayed Sum Using Time-Decaying Bloom Filter. ICA3PP 2009: 741-750 - [c12]Xianchao Zhang, Bo Han, Wenxin Liang:
Automatic seed set expansion for trust propagation based anti-spamming algorithms. WIDM 2009: 31-38 - 2008
- [j3]He Jiang, Xianchao Zhang, Guoliang Chen, Mingchu Li:
Backbone analysis and algorithm design for the quadratic assignment problem. Sci. China Ser. F Inf. Sci. 51(5): 476-488 (2008) - [c11]He Jiang, Jifeng Xuan, Xianchao Zhang:
An approximate muscle guided global optimization algorithm for the Three-Index Assignment Problem. IEEE Congress on Evolutionary Computation 2008: 2404-2410 - [c10]Xianchao Zhang, Weifa Liang, Guoliang Chen:
Computing Maximum Flows in Undirected Planar Networks with Both Edge and Vertex Capacities. COCOON 2008: 577-586 - [c9]Hong Yu, Xiaoliang Yang, Xianchao Zhang, Yuansheng Yang:
An Improved Random Walk Algorithm Based on Correlation Coefficient to Find Scientific Communities. CSSE (1) 2008: 690-693 - [c8]Xianchao Zhang, Xinxin Fan, Xinyue Liu, Hong Yu:
A Ranking Algorithm via Changing Markov Probability Matrix Based on Distribution Factor. FSKD (5) 2008: 3-7 - [c7]Yu Zong, Xianchao Zhang, He Jiang, Mingchu Li:
A Creditable Subspace Labeling Method Based on D-S Evidence Theory. PAKDD 2008: 839-848 - 2007
- [c6]He Jiang, Xianchao Zhang, Mingchu Li:
Backbone of the p-Median Problem. Australian Conference on Artificial Intelligence 2007: 699-704 - [c5]He Jiang, Xianchao Zhang, Mingchu Li, Haoyang Che:
Using Gavish-Grave LP to Formulate the Directed Black and White Traveling Salesman Problem. International Conference on Computational Science (3) 2007: 293-298 - [c4]Xianchao Zhang, Yu Zong, He Jiang, Xinyue Liu:
Data Set Homeomorphism Transformation Based Meta-clustering. International Conference on Computational Science (3) 2007: 661-668 - [c3]Xianchao Zhang, Xinyue Liu, He Jiang:
A Hybrid Approach to License Plate Segmentation under Complex Conditions. ICNC (3) 2007: 68-73 - [c2]Xianchao Zhang, Hong Yu, Cong Zhang, Xinyue Liu:
An Improved Weighted HITS Algorithm Based on Similarity and Popularity. IMSCCS 2007: 477-480 - [c1]Xianchao Zhang, He Jiang, Xinyue Liu, Hong Yu:
A Clustering Algorithm Based on Mechanics. PAKDD 2007: 367-378 - 2006
- [j2]Xianchao Zhang, Weifa Liang, He Jiang:
Flow equivalent trees in undirected node-edge-capacitated planar graphs. Inf. Process. Lett. 100(3): 110-115 (2006) - 2004
- [j1]Xianchao Zhang, Ying-Yu Wan, Guo-Liang Chen:
Max-Flow Problem in Undirected Planar Networks with Node Capacities Being in NC. J. Comput. Sci. Technol. 19(6): 787-790 (2004)
Coauthor Index
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