Xianchao Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 102

Top Venues

Publications

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 (2024)
Yuxiang Liu, Zaichen Zhang, Yi Hu, Fanxu Meng, Tian Luan, Xianchao Zhang, Xutao Yu
Practical circuit optimization algorithm for quantum simulation based on template matching. Quantum Inf. Process. 23 (2) (2024)
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)
Peng Qin, Yang Fu, Yuanbo Xie, Kui Wu, Xianchao Zhang, Xiongwen Zhao
Multi-Agent Learning-Based Optimal Task Offloading and UAV Trajectory Planning for AGIN-Power IoT. IEEE Trans. Commun. 71 (7) (2023)
Anqi Meng, Tianshi Ren, Mei Yang, Xiaozheng Gao, Xianchao Zhang, Jinbo Zhang
Dynamic Unmanned Aerial Vehicle Selection via Evolutionary Game. ICCC (2023)
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 (2023)
Ruicun Liu, Tuoyu Liu, Tingting Dan, Shan Yang, Yanbing Li, Boyu Luo, Yingtan Zhuang, Xinyue Fan, Xianchao Zhang, Hongmin Cai, Yue Teng
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. Patterns 4 (9) (2023)
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 (2023)
Peiwang Tang, Xianchao Zhang
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem. AAMAS (2023)
Xianchao Zhang, Jinjia Guo, Nan Mu, Jingfeng Jiang
A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. SMC (2023)
Yao Zhao, Xianchao Zhang, Xiaozheng Gao, Kai Yang, Zehui Xiong, Zhu Han
Dual-Connectivity Handover Scheme for a 5G-Enabled Ambulance. IEEE Trans. Commun. 71 (9) (2023)
Le Yu, Peiwang Tang, Zhiguo Jiang, Xianchao Zhang
Denoise Enhanced Neural Network with Efficient Data Generation for Automatic Sleep Stage Classification of Class Imbalance. IJCNN (2023)
Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang
TRICL: Triplet Continual Learning. ICASSP (2023)
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)
Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. PAKDD (1) (2023)
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)
Peiwang Tang, Qinghua Zhang, Xianchao Zhang
A Recurrent Neural Network based Generative Adversarial Network for Long Multivariate Time Series Forecasting. ICMR (2023)
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) (2023)
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)
Hongbo Li, Xianchao Zhang, Jinshuai Sun, Xuebing Dong
Dynamic resource levelling in projects under uncertainty. Int. J. Prod. Res. 61 (1) (2023)
Peiwang Tang, Xianchao Zhang
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem. CoRR (2023)
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)
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)
Hongyuan Cheng, Xianchao Zhang, Jingkang Yang, Yi-Ning Liu
PPRT: Privacy Preserving and Reliable Trust-Aware Platoon Recommendation Scheme in IoV. IEEE Syst. J. 17 (3) (2023)
Shiyu Zhang, Caiying Zhou, Yonggang Li, Xianchao Zhang, Lihua Ye, Yuanwang Wei
Irregular Scene Text Detection Based on a Graph Convolutional Network. Sensors 23 (3) (2023)
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 (2023)
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)
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 (2022)
Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang
Graph Clustering With Graph Capsule Network. Neural Comput. 34 (5) (2022)
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 (2022)
Zhairui Gong, Xinling He, Zhifan Wan, Zetong Li, Xianchao Zhang, Xutao Yu
Channel Modeling Based On Quantum Generative Adversarial Network. WCSP (2022)
Peiwang Tang, Xianchao Zhang
MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting. CoRR (2022)
Jingchen Zhao, Bin Zhu, Jian Li, Shaoxian Yuan, Kaiping Xue, Xianchao Zhang
Privacy-preserving Truth Discovery with Outlier Detection in Mobile Crowdsensing Systems. GLOBECOM (2022)
Yaxuan Huang, Feng Liu, Jingcheng Zhao, Shaoxian Yuan, Kaiping Xue, Xianchao Zhang
An Incentive-Based Differential Privacy-Preserving Truth Discovery over Streaming Data. GLOBECOM (2022)
Xianchao Zhang, Shengyu Ma, Jian Shi, Panpan Li, Guangxue Yue
Automatic Modulation Recognition Based on Multi-Channel Neural Network Model. WCSP (2022)
Peiwang Tang, Xianchao Zhang
Features Fusion Framework for Multimodal Irregular Time-series Events. CoRR (2022)
Peiwang Tang, Xianchao Zhang
MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting. ICTAI (2022)
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)
Peiwang Tang, Xianchao Zhang
Features Fusion Framework for Multimodal Irregular Time-series Events. PRICAI (1) (2022)
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)
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 (2022)
Yao Zhao, Xianchao Zhang
Smart Handover Scheme for a 5G-Enabled Ambulance. WCSP (2022)
Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu
Attributed graph clustering with multi-task embedding learning. Neural Networks 152 (2022)
Guoxing Yang, Xiaohong Liu, Jianyu Shi, Xianchao Zhang, Guangyu Wang
AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection. BIBM (2022)
Hua Shen, Bangyu Wang, Xinyue Liu, Xianchao Zhang
Social Spammer Detection via Convex Nonnegative Matrix Factorization. IEEE Access 10 (2022)
Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang
Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. ICPR (2022)
Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu
Class-based Core Feature Extraction Network for Few-shot Classification. SMC (2021)
Jie Mu, Xianchao Zhang, Yuangang Li, Jun Guo
Deep neural network for text anomaly detection in SIoT. Comput. Commun. 178 (2021)
Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang
Graphnet: Graph Clustering with Deep Neural Networks. ICASSP (2021)
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 (2021)
Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. CVPR (2021)
Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu
Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. PAKDD (2) (2021)
Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu
FedCMR: Federated Cross-Modal Retrieval. SIGIR (2021)
Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu
Spectral embedding network for attributed graph clustering. Neural Networks 142 (2021)
Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang
Self-supervised Graph Representation Learning with Variational Inference. PAKDD (3) (2021)
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)
Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu
Incomplete multi-view clustering with partially mapped instances and clusters. Knowl. Based Syst. 212 (2021)
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 (2021)
Qianli Zhao, Linlin Zong, Xianchao Zhang, Yuangang Li, Xiaorui Tang
A Multimodal Clustering Framework With Cross Reconstruction Autoencoders. IEEE Access 8 (2020)
Xianchao Zhang, Jie Mu, Linlin Zong, Xiaochun Yang
End-To-End Deep Multimodal Clustering. ICME (2020)
Xianchao Zhang, Changjia Zhou
ECycleGAN: Enhanced Cycle-Consistent Generative Adversarial Networks. ICCAI (2020)
Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Multi-view clustering via clusterwise weights learning. Knowl. Based Syst. 193 (2020)
Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Multi-view clustering on data with partial instances and clusters. Neural Networks 129 (2020)
Irfan Khan, Xianchao Zhang, Mobashar Rehman, Rahman Ali
A Literature Survey and Empirical Study of Meta-Learning for Classifier Selection. IEEE Access 8 (2020)
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) (2020)
Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu
Deep Multimodal Clustering with Cross Reconstruction. PAKDD (1) (2020)
Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Incomplete multi-view spectral clustering. J. Intell. Fuzzy Syst. 38 (3) (2020)
Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu
Multimodal Clustering via Deep Commonness and Uniqueness Mining. CIKM (2020)
Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu
Protein Complexes Detection Based on Deep Neural Network. PAKDD (Workshops) (2019)
Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR (2019)
Han Liu, Xianchao Zhang, Xiaotong Zhang
PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data. Knowl. Based Syst. 186 (2019)
Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang
One Shot Learning with Margin. PAKDD (2) (2019)
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)
Han Liu, Xianchao Zhang, Xiaotong Zhang
Possible world based consistency learning model for clustering and classifying uncertain data. Neural Networks 102 (2018)
Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang
An Adaptive Hierarchical Compositional Model for Phrase Embedding. IJCAI (2018)
Linlin Zong, Xianchao Zhang, Xinyue Liu
Multi-view clustering on unmapped data via constrained non-negative matrix factorization. Neural Networks 108 (2018)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
Partially Related Multi-Task Clustering. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Wenxin Liang, Xiao Li, Xiaosong He, Xinyue Liu, Xianchao Zhang
Supervised ranking framework for relationship prediction in heterogeneous information networks. Appl. Intell. 48 (5) (2018)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo
Multi-Task Clustering with Model Relation Learning. IJCAI (2018)
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 (2018)
Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. AAAI (2018)
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)
Xianchao Zhang, Shike Liu, Yuangang Li, Wenxin Liang
Joining External Context Characters to Improve Chinese Word Embedding. ISNN (2) (2017)
Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang
Discovering social spammers from multiple views. Neurocomputing 225 (2017)
Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui
Self-adapted mixture distance measure for clustering uncertain data. Knowl. Based Syst. 126 (2017)
Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao
Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks 88 (2017)
Xianchao Zhang, Han Liu, Xiaotong Zhang
Novel density-based and hierarchical density-based clustering algorithms for uncertain data. Neural Networks 93 (2017)
Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang
SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model. PAKDD (Workshops) (2017)
Siqi Li, Wenxin Liang, Xianchao Zhang
Recognize the Same Users across Multiple Online Social Networks. IC2IT (2017)
Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang
A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. PAKDD (Workshops) (2017)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
Multi-task clustering through instances transfer. Neurocomputing 251 (2017)
Xianchao Zhang, Haijun Bai, Wenxin Liang
A Social Spam Detection Framework via Semi-supervised Learning. PAKDD Workshops (2016)
Xianchao Zhang, Lu Gao, Hong Yu
Constraint Based Subspace Clustering for High Dimensional Uncertain Data. PAKDD (2) (2016)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
Multi-Task Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Xianchao Zhang, Haixin Li, Wenxin Liang, Linlin Zong, Xinyue Liu
Heterogeneous Information Networks Bi-clustering with Similarity Regularization. PAISI (2016)
Xianchao Zhang, Xiaotong Zhang, Han Liu
Self-Adapted Multi-Task Clustering. IJCAI (2016)
Xianchao Zhang, Linlin Zong, Xinyue Liu, Jiebo Luo
Constrained Clustering With Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27 (7) (2016)
Wenxin Liang, Xiaosong He, Dongdong Tang, Xianchao Zhang
S-Rank: A Supervised Ranking Framework for Relationship Prediction in Heterogeneous Information Networks. IEA/AIE (2016)
Linlin Zong, Xianchao Zhang, Hong Yu, Qianli Zhao, Feng Ding
Local linear neighbor reconstruction for multi-view data. Pattern Recognit. Lett. 84 (2016)
Xianchao Zhang, Zhaoxing Li, Shaoping Zhu, Wenxin Liang
Detecting Spam and Promoting Campaigns in Twitter. ACM Trans. Web 10 (1) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xianchao Zhang