Shichao Zhang

367 papers A* 19A 4B 21C 25Misc 2Journal 251Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification.
Knowl. Based Syst.
Longqing Du, Zhirong Huang, Jiecheng Li, Guixian Zhang, Debo Cheng, Guangquan Lu, Shichao Zhang
2026 J jnl
Coordinator: Semantic-coordinated dynamic fusion for multi-view clustering.
Inf. Fusion
Wei Lan, Yinghao Guo, Qingfeng Chen, Shichao Zhang, Shirui Pan, Huiyu Zhou, Yi Pan
2026 J jnl
DMANet: A domain-prior driven multi-level alignment network for visible-infrared person re-identification.
Neurocomputing
Ze Tao, Zhaoze Gao, Tianmao Cui, Haowei Li, Haobin Ji, Jian Zhang, Shichao Zhang
2026 J jnl
DSCA-former: Dual-stem cross-attentive transformer for image denoising.
Neurocomputing
Yuxuan Hu, Debo Cheng, Zhirong Huang, Boyan Chen, Shilong Lin, Shichao Zhang
2026 J jnl
Data augmentation with attentional feature aggregation for node classification in GNNs.
Inf. Fusion
Guangquan Lu, Shilong Lin, Yuxuan Hu, Debo Cheng, Chen Li, Shichao Zhang
2026 J jnl
Disentangled Instrumental Variables for Causal Inference with Networked Observational Data.
CoRR
Zhirong Huang, Debo Cheng, Guixian Zhang, Yi Wang, Jiuyong Li, Shichao Zhang
2026 J jnl
E2E Hybrid Computation Offloading for Complex MEC System.
IEEE Trans. Mob. Comput.
Jingjing Zhang, Xiaoheng Deng, Jian Yin, Xianjun Deng, Xuechen Chen, Jinsong Gui, Shichao Zhang
2026 J jnl
GenGCL: Generative graph contrastive learning for enhancing recommender systems.
Neurocomputing
Pingfan Su, Debo Cheng, Wenzhen Zhang, Qian Zhang, Shichao Zhang
2026 J jnl
Graph Unlearning System with Subgraph De-Isolation Measures.
ACM Trans. Auton. Adapt. Syst.
Yi Li, Debo Cheng, Guixian Zhang, Chengyu Li, Shichao Zhang
2026 J jnl
Knowledge graph attention network with path rotate encoding for recommendation.
Expert Syst. Appl.
Yangding Li, Shaobin Fu, Yangyang Zeng, Hao Feng, Xiangchao Zhao, Zixu Wang, Shichao Zhang
2026 J jnl
Learning instrumental variable representation for debiasing in recommender systems.
Neural Networks
Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang
2026 J jnl
Noise-tolerant multi-view feature selection.
Knowl. Inf. Syst.
Hang Xu, Jiaye Li, Hao Yu, Jian Zhang, Shichao Zhang
2026 J jnl
One-step negative learning via structured suppression for robust classification with noisy labels.
Knowl. Based Syst.
Wenzhen Zhang, Debo Cheng, Jiaye Li, Shichao Zhang
2026 J jnl
QGHNN: A Quantum Graph Hamiltonian Neural Network.
IEEE Trans. Emerg. Top. Comput. Intell.
Wenxuan Wang, Jinjing Shi, Nan Guan, Shichao Zhang, Xuelong Li
2026 J jnl
Quantum Option Profit and Loss Encoding for Risk Assessment.
IEEE Trans. Emerg. Top. Comput. Intell.
Jinjing Shi, Bingjie Yuan, Yuhu Lu, Shichao Zhang, Xuelong Li
2026 J jnl
Semi-Supervised Majority Voting for crowdsourcing.
Inf. Fusion
Hao Yu, Shichao Zhang, Jiaye Li, Chengqing Li
2026 J jnl
Toward fair graph neural networks via dual-teacher knowledge distillation.
Neural Networks
Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang
2026 J jnl
Towards Fair Graph Representation Learning by Overcoming Social Homophily.
ACM Trans. Intell. Syst. Technol.
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2026 J jnl
Towards robust graph-level anomaly detection via counterfactual augmentation.
Knowl. Based Syst.
Qingfeng Chen, Haojin Zeng, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2026 J jnl
kNN-Graph: An adaptive graph model for k-nearest neighbors.
CoRR
Jiaye Li, Gang Chen, Hang Xu, Shichao Zhang
2025 J jnl
A Cluster Tree Network for Image Super-Resolution.
IEEE Trans. Consumer Electron.
Qi Zhang, Weiqiang Xin, Shuai Wu, Qi Zhu, Qiya Song, Shichao Zhang
2025 J jnl
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems.
CoRR
Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025 A* conf
Anti-Exposure Bias in Diffusion Models.
ICLR
Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
2025 J jnl
Application of convolutional neural networks in image super-resolution.
CoRR
Chunwei Tian, Mingjian Song, Wangmeng Zuo, Bo Du, Yanning Zhang, Shichao Zhang
2025 J jnl
Attack-Defending Contrastive Learning for Volumetric Medical Image Zero-Watermarking.
ACM Trans. Multim. Comput. Commun. Appl.
Xiyao Liu, Cundian Yang, Jianbiao He, Hui Fang, Gerald Schaefer, Jian Zhang, Yuesheng Zhu, Shichao Zhang
2025 J jnl
Bi-Direction Label-Guided Semantic Enhancement for Cross-Modal Hashing.
IEEE Trans. Circuits Syst. Video Technol.
Lei Zhu, Runbing Wu, Xinghui Zhu, Chengyuan Zhang, Lin Wu, Shichao Zhang, Xuelong Li
2025 J jnl
Certainty-aware support vector machines for fair classification.
Neurocomputing
Boyan Chen, Yuxuan Hu, Guixian Zhang, Debo Cheng, Shichao Zhang
2025 A* conf
Community-Centric Graph Unlearning.
AAAI
Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng
2025 J jnl
Contrastive Clustering Learning for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang
2025 J jnl
DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection.
CoRR
Qingfeng Chen, Haojin Zeng, Jingyi Jie, Shichao Zhang, Debo Cheng
2025 J jnl
Deconfounding representation learning for mitigating latent confounding effects in recommendation.
Knowl. Inf. Syst.
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang
2025 J jnl
Demand-driven kNN classification.
Knowl. Based Syst.
Jiagang Song, Hang Xu, Jiaye Li, Shichao Zhang
2025 J jnl
Disentangled contrastive learning for fair graph representations.
Neural Networks
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2025 J jnl
Efficient Adaptive Label Refinement for Label Noise Learning.
CoRR
Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang
2025 J jnl
Efficient Adaptive Label Refinement for label noise learning.
Neurocomputing
Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang
2025 J jnl
GNN-transformer contrastive learning explores homophily.
Inf. Process. Manag.
Yangding Li, Yangyang Zeng, Xiangchao Zhao, Jiawei Chai, Hao Feng, Shaobin Fu, Cui Ye, Shichao Zhang
2025 J jnl
Generative Physical AI in Vision: A Survey.
CoRR
Daochang Liu, Junyu Zhang, Anh-Dung Dinh, Eunbyung Park, Shichao Zhang, Chang Xu
2025 J jnl
Humanoid-inspired Causal Representation Learning for Domain Generalization.
CoRR
Ze Tao, Jian Zhang, Haowei Li, Xianshuai Li, Yifei Peng, Xiyao Liu, Senzhang Wang, Chao Liu, Sheng Ren, Shichao Zhang
2025 A* conf
Hyper-Relational Knowledge Representation Learning with Multi-Hypergraph Disentanglement.
WWW
Jiecheng Li, Xudong Luo, Guangquan Lu, Shichao Zhang
2025 J jnl
Identifying local useful information for attribute graph anomaly detection.
Neurocomputing
Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang
2025 J jnl
Information bottleneck-guided KNN contrastive hashing for unsupervised cross-modal retrieval.
Knowl. Based Syst.
Lei Zhu, Zhengchang Yuan, Zeqian Yi, Chengyuan Zhang, Lin Wu, Ying Zhang, Farid Boussaïd, Mohammed Bennamoun, Shichao Zhang
2025 A* conf
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems.
IJCAI
Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang
2025 J jnl
Latent Representation Learning for Attributed Graph Anomaly Detection.
ACM Trans. Knowl. Discov. Data
Shichao Zhang, Penghui Xi, Mengqi Jiang, Guixian Zhang, Debo Cheng
2025 J jnl
Leveraging long-range nodes in multi-view graph contrastive learning.
Inf. Fusion
Ludan He, Debo Cheng, Guixian Zhang, Shichao Zhang
2025 J jnl
Light disentangled graph learning for social recommendation.
World Wide Web (WWW)
Yangding Li, Hao Feng, Yangyang Zeng, Xiangchao Zhao, Jiawei Chai, Shaobin Fu, Cui Ye, Shichao Zhang
2025 J jnl
Mitigating Propensity Bias of Large Language Models for Recommender Systems.
ACM Trans. Inf. Syst.
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2025 J jnl
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.
Knowl. Based Syst.
Zhirong Huang, Yuxuan Hu, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang, Shichao Zhang
2025 J jnl
Node transfer with graph contrastive learning for class-imbalanced node classification.
Neural Networks
Yangding Li, Xiangchao Zhao, Yangyang Zeng, Hao Feng, Jiawei Chai, Hao Xie, Shaobin Fu, Shichao Zhang
2025 J jnl
Outlier detection using local density and global structure.
Pattern Recognit.
Huawen Liu, Shichao Zhang, Zongda Wu, Xuelong Li
2025 J jnl
Piecewise Weighting Function for Collaborative Filtering Recommendation.
ACM Trans. Auton. Adapt. Syst.
Jiaye Li, Jiagang Song, Shichao Zhang
2025 J jnl
Privacy-Preserving Bidirectional Data Transmission of Smart Grid Via Semi-Quantum Computation: On Mutual Identity and Message Authentication.
IEEE Trans. Dependable Secur. Comput.
Xiaoping Lou, Huiru Zan, Zidong Wang, Jinjing Shi, Shichao Zhang
2025 J jnl
QSAN: A Near-Term Achievable Quantum Self-Attention Network.
IEEE Trans. Neural Networks Learn. Syst.
Jinjing Shi, Ren-Xin Zhao, Wenxuan Wang, Shichao Zhang, Xuelong Li
2025 J jnl
Revisiting low-homophily for graph-based fraud detection.
Neural Networks
Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang
2025 J jnl
Robust Quantum Feature Selection With Sparse Optimization Circuit.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiaye Li, Jiagang Song, Jinjing Shi, Hang Xu, Hao Yu, Gang Chen, Shichao Zhang
2025 J jnl
Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo
2025 J jnl
Textual semantics enhancement adversarial hashing for cross-modal retrieval.
Knowl. Based Syst.
Lei Zhu, Runbing Wu, Deyin Liu, Chengyuan Zhang, Lin Wu, Ying Zhang, Shichao Zhang
2025 J jnl
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach.
CoRR
Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2025 J jnl
Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach.
IEEE Trans. Neural Networks Learn. Syst.
Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2024 A* conf
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems.
ICDM
Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2024 J jnl
A cross Transformer for image denoising.
Inf. Fusion
Chunwei Tian, Menghua Zheng, Wangmeng Zuo, Shichao Zhang, Yanning Zhang, Chia-Wen Lin
2024 J jnl
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection.
ACM Trans. Knowl. Discov. Data
Guixian Zhang, Shichao Zhang, Guan Yuan
2024 J jnl
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only.
Knowl. Based Syst.
Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang
2024 J jnl
Bit Reduction for Locality-Sensitive Hashing.
IEEE Trans. Neural Networks Learn. Syst.
Huawen Liu, Wenhua Zhou, Hong Zhang, Gang Li, Shichao Zhang, Xuelong Li
2024 J jnl
Centrality-based Relation aware Heterogeneous Graph Neural Network.
Knowl. Based Syst.
Yangding Li, Shaobin Fu, Yangyang Zeng, Hao Feng, Ruoyao Peng, Jinghao Wang, Shichao Zhang
2024 J jnl
Community-Centric Graph Unlearning.
CoRR
Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng
2024 J jnl
Confidence-Enhanced Mutual Knowledge for Uncertain Segmentation.
IEEE Trans. Intell. Transp. Syst.
Ping Jiang, Xiaoheng Deng, Shaohua Wan, Huamei Qi, Shichao Zhang
2024 J jnl
Contrastive learning for fair graph representations via counterfactual graph augmentation.
Knowl. Based Syst.
Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang
2024 J jnl
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems.
CoRR
Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu
2024 J jnl
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems.
CoRR
Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang
2024 J jnl
Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media.
ACM Trans. Knowl. Discov. Data
Fangfang Li, Zhi Liu, Junwen Duan, Xingliang Mao, Heyuan Shi, Shichao Zhang
2024 — conf
GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification.
COCOON (2)
Longqing Du, Guangquan Lu, Yadan Han, Zhiping Luo, Guoqiu Wen, Liang Zhang, Wanxin Chen, Shichao Zhang
2024 J jnl
Hybrid mix-up contrastive knowledge distillation.
Inf. Sci.
Jian Zhang, Ze Tao, Kehua Guo, Haowei Li, Shichao Zhang
2024 J jnl
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data.
CoRR
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang
2024 J jnl
Learning fair representations via rebalancing graph structure.
Inf. Process. Manag.
Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang
2024 J jnl
Mitigating Propensity Bias of Large Language Models for Recommender Systems.
CoRR
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2024 J jnl
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.
CoRR
Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang
2024 J jnl
Multi-level knowledge distillation via dynamic decision boundaries exploration and exploitation.
Inf. Fusion
Ze Tao, Haowei Li, Jian Zhang, Shichao Zhang
2024 — conf
Multi-view Graph Neural Network for Fair Representation Learning.
APWeb/WAIM (3)
Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang
2024 J jnl
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph.
IEEE Trans. Neural Networks Learn. Syst.
Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou, Yi Pan
2024 J jnl
Nonlocal Hybrid Network for Long-tailed Image Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Rongjiao Liang, Shichao Zhang, Wenzhen Zhang, Guixian Zhang, Jinyun Tang
2024 J jnl
Perceptive Self-Supervised Learning Network for Noisy Image Watermark Removal.
IEEE Trans. Circuits Syst. Video Technol.
Chunwei Tian, Menghua Zheng, Bo Li, Yanning Zhang, Shichao Zhang, David Zhang
2024 J jnl
Perceptive self-supervised learning network for noisy image watermark removal.
CoRR
Chunwei Tian, Menghua Zheng, Bo Li, Yanning Zhang, Shichao Zhang, David Zhang
2024 J jnl
Personalized Quantum Federated Learning for Privacy Image Classification.
CoRR
Jinjing Shi, Tian Chen, Shichao Zhang, Xuelong Li
2024 J jnl
Pretrained Quantum-Inspired Deep Neural Network for Natural Language Processing.
IEEE Trans. Cybern.
Jinjing Shi, Tian Chen, Wei Lai, Shichao Zhang, Xuelong Li
2024 J jnl
Quantum KNN Classification With K Value Selection and Neighbor Selection.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang
2024 J jnl
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System.
ACM Trans. Knowl. Discov. Data
Jiaye Li, Jinjing Shi, Jian Zhang, Yuhu Lu, Qin Li, Chunlin Yu, Shichao Zhang
2024 J jnl
Quantum Support Vector Machine for Classifying Noisy Data.
IEEE Trans. Computers
Jiaye Li, Yangding Li, Jiagang Song, Jian Zhang, Shichao Zhang
2024 J jnl
Refining Codes for Locality Sensitive Hashing.
IEEE Trans. Knowl. Data Eng.
Huawen Liu, Wenhua Zhou, Zongda Wu, Shichao Zhang, Gang Li, Xuelong Li
2024 A* conf
Residual Learning in Diffusion Models.
CVPR
Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
2024 J jnl
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo
2024 J jnl
Secure Delegated Variational Quantum Algorithms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Qin Li, Junyu Quan, Jinjing Shi, Shichao Zhang, Xuelong Li
2024 J jnl
Soft Hybrid Knowledge Distillation against deep neural networks.
Neurocomputing
Jian Zhang, Ze Tao, Shichao Zhang, Zike Qiao, Kehua Guo
2024 B conf
Spatio-Temporal Dynamically Fused Graph Convolutional Network.
IJCNN
Zongru Li, Boyan Chen, Penghui Xi, Zhirong Huang, Wenzhen Zhang, Shichao Zhang
2024 J jnl
Texture-guided CNN for image denoising.
Multim. Tools Appl.
Qi Zhang, Jingyu Xiao, Shichao Zhang, Jerry Chun-Wei Lin, Chunwei Tian, Chengyuan Zhang
2024 J jnl
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation.
CoRR
Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang
2024 J jnl
Towards Fair Graph Representation Learning in Social Networks.
CoRR
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2024 J jnl
UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation.
CoRR
Chengyuan Zhang, Yilin Zhang, Lei Zhu, Deyin Liu, Lin Wu, Bo Li, Shichao Zhang, Mohammed Bennamoun, Farid Boussaïd
2024 — conf
WS-GCA: A Synergistic Framework for Precise Semantic Segmentation with Comprehensive Supervision.
APWeb/WAIM (1)
Zepeng Li, Wenzhen Zhang, Jiagang Song, Boyan Chen, Yuxuan Hu, Shichao Zhang
2023 J jnl
A cross Transformer for image denoising.
CoRR
Chunwei Tian, Menghua Zheng, Wangmeng Zuo, Shichao Zhang, Yanning Zhang, Chia-Wen Lin
2023 J jnl
A parallel and serial denoising network.
Expert Syst. Appl.
Qi Zhang, Jingyu Xiao, Chunwei Tian, Jiayu Xu, Shichao Zhang, Chia-Wen Lin
2023 J jnl
A robust deformed convolutional neural network (CNN) for image denoising.
CAAI Trans. Intell. Technol.
Qi Zhang, Jingyu Xiao, Chunwei Tian, Jerry Chun-Wei Lin, Shichao Zhang
2023 — conf
Addressing Coupled Constrained Reinforcement Learning via Interative Iteration Design.
ICA3PP (3)
Wei Huang, Shichao Zhang
2023 J jnl
Anomaly Detection With Representative Neighbors.
IEEE Trans. Neural Networks Learn. Syst.
Huawen Liu, Xiaodan Xu, Enhui Li, Shichao Zhang, Xuelong Li
2023 A* conf
Anti-Noise Muiti-View Feature Selection With Sample Constraints.
ICDM
Jiaye Li, Hang Xu, Hao Yu, Weixin Li, Shichao Zhang
2023 J jnl
CLSpell: Contrastive learning with phonological and visual knowledge for chinese spelling check.
Neurocomputing
Xingliang Mao, Youran Shan, Fangfang Li, Xiaohong Chen, Shichao Zhang
2023 A* conf
Contrastive Sampling Chains in Diffusion Models.
NeurIPS
Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu
2023 Misc conf
Decoupled Visual Causality for Robust Detection.
ICASSP
Ping Jiang, Xiaoheng Deng, Shichao Zhang
2023 J jnl
Delegated variational quantum algorithms based on quantum homomorphic encryption.
CoRR
Qin Li, Junyu Quan, Jinjing Shi, Shichao Zhang, Xuelong Li
2023 J jnl
Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection.
IEEE Trans. Knowl. Data Eng.
Xiaoping Liang, Zhenjun Tang, Ziqing Huang, Xianquan Zhang, Shichao Zhang
2023 J jnl
FPGNN: Fair path graph neural network for mitigating discrimination.
World Wide Web (WWW)
Guixian Zhang, Debo Cheng, Shichao Zhang
2023 J jnl
Hypergraph Representation for Detecting 3D Objects From Noisy Point Clouds.
IEEE Trans. Knowl. Data Eng.
Ping Jiang, Xiaoheng Deng, Leilei Wang, Zailiang Chen, Shichao Zhang
2023 J jnl
KNN Classification With One-Step Computation.
IEEE Trans. Knowl. Data Eng.
Shichao Zhang, Jiaye Li
2023 B conf
LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection.
ICTAI
Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang
2023 B conf
MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection.
ICTAI
Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang
2023 — conf
Multi-branch Residual Fusion Network for Imbalanced Visual Regression.
APWeb-WAIM (1)
Zhirong Huang, Shichao Zhang, Debo Cheng, Rongjiao Liang, Mengqi Jiang
2023 — conf
Multi-head Similarity Feature Representation and Filtration for Image-Text Matching.
ADMA (2)
Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang
2023 J jnl
Parameterized Hamiltonian Learning With Quantum Circuit.
IEEE Trans. Pattern Anal. Mach. Intell.
Jinjing Shi, Wenxuan Wang, Xiaoping Lou, Shichao Zhang, Xuelong Li
2023 J jnl
Quantum Circuit Learning With Parameterized Boson Sampling.
IEEE Trans. Knowl. Data Eng.
Jinjing Shi, Yongze Tang, Yuhu Lu, Yanyan Feng, Ronghua Shi, Shichao Zhang
2023 J jnl
Reachable Distance Function for KNN Classification.
IEEE Trans. Knowl. Data Eng.
Shichao Zhang, Jiaye Li, Yangding Li
2023 J jnl
Robust Sparse Weighted Classification for Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Hao Yu, Chengyuan Zhang, Jiaye Li, Shichao Zhang
2023 B conf
SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection.
ICIP
Jing Chen, Debo Cheng, Jiacheng Jiang, Zhongyi Yu, Shichao Zhang
2023 J jnl
Two End-to-End Quantum-Inspired Deep Neural Networks for Text Classification.
IEEE Trans. Knowl. Data Eng.
Jinjing Shi, Zhenhuan Li, Wei Lai, Fangfang Li, Ronghua Shi, Yanyan Feng, Shichao Zhang
2022 J jnl
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Faliang Huang, Xuelong Li, Changan Yuan, Shichao Zhang, Jilian Zhang, Shaojie Qiao
2022 B conf
Bilateral-Branch Network for Imbalanced Visual Regression.
ICTAI
Rongjiao Liang, Guixian Zhang, Kui Zhang, Zhi Lei, Shichao Zhang
2022 J jnl
Challenges in KNN Classification.
IEEE Trans. Knowl. Data Eng.
Shichao Zhang
2022 J jnl
Deep Multigraph Hierarchical Enhanced Semantic Representation for Cross-Modal Retrieval.
IEEE Multim.
Lei Zhu, Chengyuan Zhang, Jiayu Song, Shichao Zhang, Chunwei Tian, Xinghui Zhu
2022 J jnl
Efficient Quantum Blockchain With a Consensus Mechanism QDPoS.
IEEE Trans. Inf. Forensics Secur.
Qin Li, Jia Wu, Junyu Quan, Jinjing Shi, Shichao Zhang
2022 J jnl
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network.
ACM Trans. Knowl. Discov. Data
Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li
2022 J jnl
Hashing Learning with Hyper-Class Representation.
CoRR
Shichao Zhang, Jiaye Li
2022 J jnl
Hyper-Class Representation of Data.
CoRR
Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin
2022 J jnl
Hyper-class representation of data.
Neurocomputing
Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin
2022 J jnl
Image Super-resolution with An Enhanced Group Convolutional Neural Network.
CoRR
Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang
2022 J jnl
Image super-resolution with an enhanced group convolutional neural network.
Neural Networks
Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang
2022 J jnl
MSANet: Multi-scale attention networks for image classification.
Multim. Tools Appl.
Ping Cao, Fangxin Xie, Shichao Zhang, Zuping Zhang, Jianfeng Zhang
2022 B conf
MSSPQ: Multiple Semantic Structure-Preserving Quantization for Cross-Modal Retrieval.
ICMR
Lei Zhu, Liewu Cai, Jiayu Song, Xinghui Zhu, Chengyuan Zhang, Shichao Zhang
2022 J jnl
Multi-task joint training model for machine reading comprehension.
Neurocomputing
Fangfang Li, Youran Shan, Xingliang Mao, Xingkai Ren, Xiyao Liu, Shichao Zhang
2022 J jnl
Noise Removal in Embedded Image With Bit Approximation.
IEEE Trans. Knowl. Data Eng.
Xianquan Zhang, Xuelong Li, Zhenjun Tang, Shichao Zhang, Shaomin Xie
2022 J jnl
One-step spectral rotation clustering with balanced constrains.
World Wide Web
Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang
2022 J jnl
QSAN: A Near-term Achievable Quantum Self-Attention Network.
CoRR
Ren-Xin Zhao, Jinjing Shi, Shichao Zhang, Xuelong Li
2022 B conf
Rumour Detection on Social Media with Long-Tail Strategy.
IJCNN
Guixian Zhang, Rongjiao Liang, Zhongyi Yu, Shichao Zhang
2022 J jnl
Self-paced hybrid dilated convolutional neural networks.
Multim. Tools Appl.
Wenzhen Zhang, Guangquan Lu, Shichao Zhang, Yonggang Li
2022 — conf
Stable Causal Feature Selection based on Direct Causal Effect Estimation.
HPCC/DSS/SmartCity/DependSys
Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang
2022 J jnl
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao
2021 — conf
Aggregation Enhanced Graph Convolutional Network for Graph Classification.
ICBK
Guixian Zhang, Boyan Chen, Lijuan Wu, Kui Zhang, Shichao Zhang
2021 J jnl
Anomaly Detection With Kernel Preserving Embedding.
ACM Trans. Knowl. Discov. Data
Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang
2021 J jnl
Editorial deep multi-source data analysis.
Pattern Recognit. Lett.
Shichao Zhang, Qing Xie, Yanrong Guo
2021 J jnl
Efficient Utilization of Missing Data in Cost-Sensitive Learning.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang
2021 J jnl
HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Chengyuan Zhang, Jiayu Song, Xiaofeng Zhu, Lei Zhu, Shichao Zhang
2021 B conf
M2GUDA: Multi-Metrics Graph-Based Unsupervised Domain Adaptation for Cross-Modal Hashing.
ICMR
Chengyuan Zhang, Zhi Zhong, Lei Zhu, Shichao Zhang, Da Cao, Jianfeng Zhang
2021 A conf
Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation.
ICME
Lei Zhu, Chengyuan Zhang, Jiayu Song, Liangchen Liu, Shichao Zhang, Yangding Li
2021 J jnl
Z Distance Function for KNN Classification.
CoRR
Shichao Zhang, Jiaye Li
2020 J jnl
Adaptive Hashing With Sparse Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst.
Huawen Liu, Xuelong Li, Shichao Zhang, Qi Tian
2020 J jnl
Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval.
IEEE Multim.
Lei Zhu, Jiayu Song, Xiaofeng Zhu, Chengyuan Zhang, Shichao Zhang, Xinpan Yuan, Yang Wang
2020 J jnl
Cost-sensitive KNN classification.
Neurocomputing
Shichao Zhang
2020 J jnl
KNN Classification with One-step Computation.
CoRR
Shichao Zhang, Jiaye Li
2020 J jnl
Mutual kNN based spectral clustering.
Neural Comput. Appl.
Malong Tan, Shichao Zhang, Lin Wu
2020 — conf
Outlier Detection via Kernel Preserving Embedding and Random Walk.
ICKG
Enhui Li, Huawen Liu, Kaile Su, Shichao Zhang
2020 J jnl
PAC-GAN: An effective pose augmentation scheme for unsupervised cross-view person re-identification.
Neurocomputing
Chengyuan Zhang, Lei Zhu, Shichao Zhang, Weiren Yu
2020 J jnl
Self-weighted Multi-view Fuzzy Clustering.
ACM Trans. Knowl. Discov. Data
Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang
2020 J jnl
Sparse Graph Connectivity for Image Segmentation.
ACM Trans. Knowl. Discov. Data
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang
2020 J jnl
Spectral clustering via half-quadratic optimization.
World Wide Web
Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang
2020 J jnl
TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method.
Neurocomputing
Chengyuan Zhang, Lei Zhu, Shichao Zhang, Weiren Yu
2020 J jnl
Unsupervised nonlinear feature selection algorithm via kernel function.
Neural Comput. Appl.
Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, Jilian Zhang
2019 J jnl
Low-Rank Sparse Subspace for Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Yonggang Li, Jilian Zhang, Lifeng Yang, Yue Fang
2019 J jnl
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu
2019 J jnl
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification.
CoRR
Chengyuan Zhang, Lei Zhu, Shichao Zhang
2019 J jnl
Robust Image Hashing with Tensor Decomposition.
IEEE Trans. Knowl. Data Eng.
Zhenjun Tang, Lv Chen, Xianquan Zhang, Shichao Zhang
2019 — conf
Sequential Pattern Learning via Kernel Alignment.
ICACI
Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang
2018 J jnl
A novel
Pattern Recognit. Lett.
Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng
2018 — ed.
Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Nanning, China, November 9-11, 2018, Proceedings
ATIS
Qingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li
2018 J jnl
Efficient Outlier Detection for High-Dimensional Data.
IEEE Trans. Syst. Man Cybern. Syst.
Huawen Liu, Xuelong Li, Jiuyong Li, Shichao Zhang
2018 J jnl
Efficient kNN Classification With Different Numbers of Nearest Neighbors.
IEEE Trans. Neural Networks Learn. Syst.
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang
2018 J jnl
Efficient subspace clustering based on self-representation and grouping effect.
Neural Comput. Appl.
Shichao Zhang, Yonggang Li, Debo Cheng, Zhenyun Deng, Lifeng Yang
2018 J jnl
Foreword to the special issue on recent advances on pattern recognition and artificial intelligence.
Neural Comput. Appl.
Huawen Liu, Jianping Yin, Xudong Luo, Shichao Zhang
2018 J jnl
Harmonious Genetic Clustering.
IEEE Trans. Cybern.
Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang
2018 J jnl
Image hashing with color vector angle.
Neurocomputing
Zhenjun Tang, Xuelong Li, Xianquan Zhang, Shichao Zhang, Yumin Dai
2018 — ed.
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings
CCIR
Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li
2018 J jnl
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song
2018 J jnl
Multiple-scale cost sensitive decision tree learning.
World Wide Web
Shichao Zhang
2018 A* conf
Robust Feature Selection on Incomplete Data.
IJCAI
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang
2018 A* conf
Robust Graph Dimensionality Reduction.
IJCAI
Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang
2018 J jnl
Sparse sample self-representation for subspace clustering.
Neural Comput. Appl.
Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng
2018 J jnl
Supervised feature selection algorithm via discriminative ridge regression.
World Wide Web
Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng
2018 J jnl
Unsupervised feature selection by combining subspace learning with feature self-representation.
Pattern Recognit. Lett.
Yangding Li, Cong Lei, Yue Fang, Rongyao Hu, Yonggang Li, Shichao Zhang
2017 A* conf
Adaptive Hypergraph Learning for Unsupervised Feature Selection.
IJCAI
Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He
2017 J jnl
Feature selection by combining subspace learning with sparse representation.
Multim. Syst.
Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong
2017 J jnl
Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang
2017 J jnl
Graph self-representation method for unsupervised feature selection.
Neurocomputing
Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang
2017 J jnl
Learning
ACM Trans. Intell. Syst. Technol.
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng
2017 J jnl
Learning Instance Correlation Functions for Multilabel Classification.
IEEE Trans. Cybern.
Huawen Liu, Xuelong Li, Shichao Zhang
2017 J jnl
Leverage triple relational structures via low-rank feature reduction for multi-output regression.
Multim. Tools Appl.
Shichao Zhang, Lifeng Yang, Zhenyun Deng, Debo Cheng, Yonggang Li
2017 J jnl
Low-rank feature selection for multi-view regression.
Multim. Tools Appl.
Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang
2017 J jnl
Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl.
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2017 J jnl
Multimodal learning for topic sentiment analysis in microblogging.
Neurocomputing
Faliang Huang, Shichao Zhang, Jilian Zhang, Ge Yu
2017 A* conf
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
AAAI
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu
2017 J jnl
Overlapping Community Detection for Multimedia Social Networks.
IEEE Trans. Multim.
Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang, Jinhui Chen, Zhi-nian Zhai
2017 J jnl
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu
2017 J jnl
Spectral clustering based on hypergraph and self-re-presentation.
Multim. Tools Appl.
Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie
2017 C conf
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning.
ADMA
Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, Xiaoyi Hu
2017 — conf
Unsupervised Feature Selection via Local Structure Learning and Self-Representation.
ICBK
Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu
2017 — conf
Unsupervised Spectral Feature Selection with Local Structure Learning.
ICBK
Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li
2017 J jnl
Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing
Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2016 J jnl
Block-Row Sparse Multiview Multilabel Learning for Image Classification.
IEEE Trans. Cybern.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang
2016 J jnl
Data Partitioning View of Mining Big Data.
CoRR
Shichao Zhang
2016 J jnl
Efficient kNN classification algorithm for big data.
Neurocomputing
Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang
2016 — conf
Hypergraph Spectral Clustering via Sample Self-Representation.
FSDM
Shichao Zhang, Yonggang Li, Debo Cheng, Zhen-Yun Deng
2016 C conf
Low-Rank Feature Reduction and Sample Selection for Multi-output Regression.
ADMA
Shichao Zhang, Lifeng Yang, Yonggang Li, Yan Luo, Xiaofeng Zhu
2016 J jnl
Neighbor selection for multilabel classification.
Neurocomputing
Huawen Liu, Xindong Wu, Shichao Zhang
2016 J jnl
Robust Image Hashing With Ring Partition and Invariant Vector Distance.
IEEE Trans. Inf. Forensics Secur.
Zhenjun Tang, Xianquan Zhang, Xianxian Li, Shichao Zhang
2016 J jnl
Self-representation nearest neighbor search for classification.
Neurocomputing
Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao
2016 C conf
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
ADMA
Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang
2016 C conf
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
ADMA
Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang
2015 J jnl
Knowledge Engineering with Big Data.
IEEE Intell. Syst.
Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang
2015 J jnl
Multi-view multi-sparsity kernel reconstruction for multi-class image classification.
Neurocomputing
Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang
2015 J jnl
Penalized partial least square discriminant analysis with l
Pattern Recognit.
Huawen Liu, Zongjie Ma, Shichao Zhang, Xindong Wu
2014 J jnl
A New Supervised Feature Selection Method for Pattern Classification.
Comput. Intell.
Huawen Liu, Xindong Wu, Shichao Zhang
2014 J jnl
Clustering web documents using hierarchical representation with multi-granularity.
World Wide Web
Faliang Huang, Shichao Zhang, Minghua He, Xindong Wu
2014 C conf
Discovery of Tampered Image with Robust Hashing.
ADMA
Zhenjun Tang, Junwei Yu, Xianquan Zhang, Shichao Zhang
2014 C conf
Efficient kNN Algorithm Based on Graph Sparse Reconstruction.
ADMA
Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng
2014 J jnl
MLSLR: Multilabel Learning via Sparse Logistic Regression.
Inf. Sci.
Huawen Liu, Shichao Zhang, Xindong Wu
2014 J jnl
Robust Perceptual Image Hashing Based on Ring Partition and NMF.
IEEE Trans. Knowl. Data Eng.
Zhenjun Tang, Xianquan Zhang, Shichao Zhang
2014 C conf
kNN Algorithm with Data-Driven k Value.
ADMA
Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong
2013 A conf
Bi-directional double auction for financial market simulation.
AAMAS
Meng Chang, Minghua He, Anikó Ekárt, Xudong Luo, Shichao Zhang
2013 C conf
Cost-Sensitive Classification with k-Nearest Neighbors.
KSEM
Zhenxing Qin, Alan Tao Wang, Chengqi Zhang, Shichao Zhang
2013 — conf
Evaluation of Error-Sensitive Attributes.
PAKDD Workshops
William Wu, Shichao Zhang
2013 A conf
Feature Selection by Joint Graph Sparse Coding.
SDM
Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu
2013 — conf
Mining Item Popularity for Recommender Systems.
ADMA (2)
Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang
2013 — conf
Mixed-Norm Regression for Visual Classification.
ADMA (1)
Xiaofeng Zhu, Jilian Zhang, Shichao Zhang
2012 C conf
A New Multi-label Learning Algorithm Using Shelly Neighbors.
ADMA
Huawen Liu, Shichao Zhang, Jianmin Zhao, Jianbin Wu, Zhonglong Zheng
2012 J jnl
Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach.
Int. J. Softw. Informatics
Shichao Zhang, Jilian Zhang
2012 J jnl
Cost-sensitive classification with inadequate labeled data.
Inf. Syst.
Tao Wang, Zhenxing Qin, Shichao Zhang, Chengqi Zhang
2012 — conf
Data Hiding Method Based on Local Image Features.
AMT
Xianquan Zhang, Zhenjun Tang, Tao Liang, Shichao Zhang, Yingjun Zhu, Yonghai Sun
2012 J jnl
Decision tree classifiers sensitive to heterogeneous costs.
J. Syst. Softw.
Shichao Zhang
2012 C conf
Memory Performance Prediction of Web Server Applications Based on Grey System Theory.
APWeb
Faliang Huang, Shichao Zhang, Changan Yuan, Zhi Zhong
2012 J jnl
Mining bridging rules between conceptual clusters.
Appl. Intell.
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang
2012 J jnl
Nearest neighbor selection for iteratively kNN imputation.
J. Syst. Softw.
Shichao Zhang
2012 J jnl
Noisy data elimination using mutual k-nearest neighbor for classification mining.
J. Syst. Softw.
Huawen Liu, Shichao Zhang
2012 — conf
Perceptual Image Hashing with Histogram of Color Vector Angles.
AMT
Zhenjun Tang, Yumin Dai, Xianquan Zhang, Shichao Zhang
2011 J jnl
Dealing with inconsistent secure messages by weighting majority.
Knowl. Based Syst.
Qingfeng Chen, Shichao Zhang, Zhi Zhong
2011 J jnl
Enhancing grid-density based clustering for high dimensional data.
J. Syst. Softw.
Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang
2011 A conf
Feature selection using hierarchical feature clustering.
CIKM
Huawen Liu, Xindong Wu, Shichao Zhang
2011 J jnl
Fundamentals of association rules in data mining and knowledge discovery.
WIREs Data Mining Knowl. Discov.
Shichao Zhang, Xindong Wu
2011 J jnl
Information enhancement for data mining.
WIREs Data Mining Knowl. Discov.
Shichao Zhang
2011 J jnl
Missing Value Estimation for Mixed-Attribute Data Sets.
IEEE Trans. Knowl. Data Eng.
Xiaofeng Zhu, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu
2011 J jnl
Missing data imputation by utilizing information within incomplete instances.
J. Syst. Softw.
Shichao Zhang, Zhi Jin, Xiaofeng Zhu
2011 J jnl
Shell-neighbor method and its application in missing data imputation.
Appl. Intell.
Shichao Zhang
2010 — conf
A New Classification Algorithm Using Mutual Nearest Neighbors.
GCC
Huawen Liu, Shichao Zhang, Jianming Zhao, Xiangfu Zhao, Yuchang Mo
2010 J jnl
Acquiring knowledge from inconsistent data sources through weighting.
Data Knowl. Eng.
Shichao Zhang, Qingfeng Chen, Qiang Yang
2010 J jnl
Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis.
Int. J. Data Warehous. Min.
Yongsong Qin, Shichao Zhang, Chengqi Zhang
2010 — conf
Cost Sensitive Classification in Data Mining.
ADMA (1)
Zhenxing Qin, Chengqi Zhang, Tao Wang, Shichao Zhang
2010 J jnl
Cost-sensitive classification with respect to waiting cost.
Knowl. Based Syst.
Shichao Zhang
2010 — conf
Efficient missing data imputation for supervised learning.
IEEE ICCI
Shichao Zhang, Xindong Wu, Manlong Zhu
2010 J jnl
Estimating Semi-Parametric Missing Values with Iterative Imputation.
Int. J. Data Warehous. Min.
Shichao Zhang
2010 J jnl
Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning.
J. Syst. Softw.
Tao Wang, Zhenxing Qin, Zhi Jin, Shichao Zhang
2010 J jnl
Summary queries for frequent itemsets mining.
J. Syst. Softw.
Shichao Zhang, Zhi Jin, Jingli Lu
2010 — conf
Web User Browse Behavior Characteristic Analysis Based on a
AMT
Dingrong Yuan, Shichao Zhang
2010 — conf
Weighting imputation methods and their evaluation under shell-neighbor machine.
IEEE ICCI
Shichao Zhang, Manlong Zhu
2009 J jnl
A decremental algorithm of frequent itemset maintenance for mining updated databases.
Expert Syst. Appl.
Shichao Zhang, Jilian Zhang, Zhi Jin
2009 J jnl
Confidence Metrics for Association Rule Mining.
Appl. Artif. Intell.
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2009 J jnl
Estimating confidence intervals for structural differences between contrast groups with missing data.
Expert Syst. Appl.
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2009 J jnl
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support.
Expert Syst. Appl.
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2009 J jnl
Mining class-bridge rules based on rough sets.
Expert Syst. Appl.
Shichao Zhang, Feng Chen, Zhi Jin, Ruili Wang
2009 J jnl
Mining globally interesting patterns from multiple databases using kernel estimation.
Expert Syst. Appl.
Shichao Zhang, Xiaofang You, Zhi Jin, Xindong Wu
2009 J jnl
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.
Trans. Comput. Sci.
Shichao Zhang, Zhi Jin, Xiaofeng Zhu, Jilian Zhang
2009 J jnl
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.
Expert Syst. Appl.
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2009 J jnl
Strategies for complex data cube queries.
Appl. Intell.
Shichao Zhang, Rifeng Wang, Zhi Jin
2008 J jnl
Computing the minimum-support for mining frequent patterns.
Knowl. Inf. Syst.
Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu
2008 C conf
Cost-sensitive semi-supervised classification using CS-EM.
CIT
Zhenxing Qin, Shichao Zhang, Li Liu, Tao Wang
2008 J jnl
Detecting Differences Between Contrast Groups.
IEEE Trans. Inf. Technol. Biomed.
Shichao Zhang
2008 J jnl
Empirical likelihood confidence intervals for differences between two datasets with missing data.
Pattern Recognit. Lett.
Yongsong Qin, Shichao Zhang
2008 J jnl
Mining follow-up correlation patterns from time-related databases.
Knowl. Inf. Syst.
Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu
2008 J jnl
Missing Value Imputation Based on Data Clustering.
Trans. Comput. Sci.
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
2008 B conf
NIIA: Nonparametric Iterative Imputation Algorithm.
PRICAI
Shichao Zhang, Zhi Jin, Xiaofeng Zhu
2008 J jnl
Parimputation: From Imputation and Null-Imputation to Partially Imputation.
IEEE Intell. Informatics Bull.
Shichao Zhang
2008 J jnl
Rule-based dependency models for security protocol analysis.
Integr. Comput. Aided Eng.
Qingfeng Chen, Shichao Zhang, Yi-Ping Phoebe Chen
2008 — book
Secure Transaction Protocol Analysis: Models and Applications
Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2007 A* conf
Cost-Sensitive Imputing Missing Values with Ordering.
AAAI
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang
2007 C conf
Cost-Time Sensitive Decision Tree with Missing Values.
KSEM
Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2007 — conf
Distributed Frequent Closed Itemsets Mining.
SITIS
Chun Liu, Zheng Zheng, Kai-Yuan Cai, Shichao Zhang
2007 J jnl
EDUA: An efficient algorithm for dynamic database mining.
Inf. Sci.
Shichao Zhang, Jilian Zhang, Chengqi Zhang
2007 J jnl
Editorial: Special issue on mining low-quality data.
Knowl. Inf. Syst.
Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang
2007 — conf
Efficient Attribute Reduction Based on Discernibility Matrix.
RSKT
Zhangyan Xu, Chengqi Zhang, Shichao Zhang, Wei Song, Bingru Yang
2007 B conf
GBKII: An Imputation Method for Missing Values.
PAKDD
Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang
2007 C conf
Identifying Dependency Between Secure Messages for Protocol Analysis.
KSEM
Qingfeng Chen, Shichao Zhang, Yi-Ping Phoebe Chen
2007 A* conf
Measuring the Uncertainty of Differences for Contrasting Groups.
AAAI
Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang
2007 J jnl
On Data Structures for Association Rule Discovery.
Appl. Artif. Intell.
Xiaowei Yan, Shichao Zhang, Chengqi Zhang
2007 J jnl
Semi-parametric optimization for missing data imputation.
Appl. Intell.
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2006 J jnl
A logical framework for identifying quality knowledge from different data sources.
Decis. Support Syst.
Kaile Su, Huijing Huang, Xindong Wu, Shichao Zhang
2006 C conf
Adapting K-Means Algorithm for Discovering Clusters in Subspaces.
APWeb
Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao
2006 C conf
Clustering Web Documents Based on Knowledge Granularity.
APWeb
Faliang Huang, Shichao Zhang
2006 A* conf
Cost-Sensitive Test Strategies.
AAAI
Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang
2006 C conf
Detecting Collusion Attacks in Security Protocols.
APWeb
Qingfeng Chen, Yi-Ping Phoebe Chen, Shichao Zhang, Chengqi Zhang
2006 B conf
Difference Detection Between Two Contrast Sets.
DaWaK
Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang
2006 C conf
Efficient Computation of Multi-feature Data Cubes.
KSEM
Shichao Zhang, Rifeng Wang, Yanping Guo
2006 — conf
Efficient Frequent Itemsets Mining by Sampling.
AMT
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2006 — conf
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data.
Australian Conference on Artificial Intelligence
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2006 J jnl
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis.
IEEE Trans. Knowl. Data Eng.
Yanchang Zhao, Shichao Zhang
2006 A* conf
Identifying Follow-Correlation Itemset-Pairs.
ICDM
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang
2006 A* conf
Identifying bridging rules between conceptual clusters.
KDD
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
2006 B conf
Is Frequency Enough for Decision Makers to Make Decisions?.
PAKDD
Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang
2006 — conf
Kernel-Based Multi-Imputation for Missing Data.
AMT
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2006 — conf
Mapping between Relational Database Schema and OWL Ontology for Deep Annotation.
Web Intelligence
Zhuoming Xu, Shichao Zhang, Yisheng Dong
2006 J jnl
Mining Multiple Data Sources: Local Pattern Analysis.
Data Min. Knowl. Discov.
Shichao Zhang, Mohammed Javeed Zaki
2006 — conf
Missing or absent? A Question in Cost-sensitive Decision Tree.
AMT
Zhenxing Qin, Shichao Zhang, Chengqi Zhang
2006 B conf
Optimized Parameters for Missing Data Imputation.
PRICAI
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2005 J jnl
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng.
Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng
2005 B conf
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.
DaWaK
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
2005 — conf
A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis.
DEEC
Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Shichao Zhang
2005 J jnl
A Partial-Repeatability Approach to Data Mining.
IEEE Intell. Informatics Bull.
Kai-Yuan Cai, Yunfei Yin, Shichao Zhang
2005 B conf
A Recent-Biased Dimension Reduction Technique for Time Series Data.
PAKDD
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2005 J jnl
Armga: Identifying Interesting Association Rules with Genetic Algorithms.
Appl. Artif. Intell.
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2005 J jnl
Database classification for multi-database mining.
Inf. Syst.
Xindong Wu, Chengqi Zhang, Shichao Zhang
2005 — conf
Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales.
FSKD (1)
Zhenxing Qin, Chengqi Zhang, Xuehui Xie, Shichao Zhang
2005 J jnl
ENDL: A Logical Framework for Verifying Secure Transaction Protocols.
Knowl. Inf. Syst.
Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2005 J jnl
Identifying Interesting Customers through Web Log Classification.
IEEE Intell. Syst.
Jeffrey Xu Yu, Yuming Ou, Chengqi Zhang, Shichao Zhang
2005 — ch.
Identifying Interesting Patterns in Multidatabases.
Classification and Clustering for Knowledge Discovery
Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang
2005 C conf
In-Depth Data Mining and Its Application in Stock Market.
ADMA
Chengqi Zhang, Shichao Zhang
2004 C conf
A Verification Model for Electronic Transaction Protocols.
APWeb
Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2004 J jnl
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules.
Inf. Sci.
Shichao Zhang, Jingli Lu, Chengqi Zhang
2004 J jnl
An efficient strategy for mining exceptions in multi-databases .
Inf. Sci.
Shichao Zhang, Chengqi Zhang, Jeffrey Xu Yu
2004 — conf
Cost-Sensitive Decision Trees with Multiple Cost Scales.
Australian Conference on Artificial Intelligence
Zhenxing Qin, Shichao Zhang, Chengqi Zhang
2004 B conf
Dealing with Inconsistent Secure Messages.
PRICAI
Qingfeng Chen, Shichao Zhang
2004 A* conf
Decision trees with minimal costs.
ICML
Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
2004 — conf
Discovering Interesting Association Rules by Clustering.
Australian Conference on Artificial Intelligence
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2004 J jnl
Efficient mining of both positive and negative association rules.
ACM Trans. Inf. Syst.
Xindong Wu, Chengqi Zhang, Shichao Zhang
2004 J jnl
Guest Editors' Introduction: Information Enhancement for Data Mining.
IEEE Intell. Syst.
Shichao Zhang, Chengqi Zhang, Qiang Yang
2004 J jnl
Identifying Global Exceptional Patterns in Multi-database Mining.
IEEE Intell. Informatics Bull.
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Zhang
2004 J jnl
Identifying Software Component Association With Genetic Algorithm.
Int. J. Softw. Eng. Knowl. Eng.
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2004 B conf
Is Minimum-Support Appropriate to Identifying Large Itemsets?
PRICAI
Shichao Zhang, Li Liu, Jingli Lu, Yuming Ou
2004 — book
Knowledge Discovery in Multiple Databases.
Shichao Zhang, Chengqi Zhang, Xindong Wu
2004 J jnl
Mining Dependent Patterns In Probabilistic Databases.
Cybern. Syst.
Shichao Zhang, Chengqi Zhang, Jeffrey Xu Yu
2004 B conf
Mining Term Association Rules for Heuristic Query Construction.
PAKDD
Zhenxing Qin, Li Liu, Shichao Zhang
2003 C conf
A Database-Independent Approach of Mining Association Rules with Genetic Algorithm.
IDEAL
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003 C conf
A Database-Independent Strategy for Confidence Determination.
SEKE
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003 J jnl
A Probability Data Model and its Semantics.
J. Res. Pract. Inf. Technol.
Shichao Zhang, Chengqi Zhang
2003 J jnl
An Agent-Based Hybrid Framework for Database Mining.
Appl. Artif. Intell.
Zili Zhang, Chengqi Zhang, Shichao Zhang
2003 J jnl
Cooperative Strategy for Web Data Mining and Cleaning.
Appl. Artif. Intell.
Yuefeng Li, Chengqi Zhang, Shichao Zhang
2003 J jnl
Data Preparation for Data Mining.
Appl. Artif. Intell.
Shichao Zhang, Chengqi Zhang, Qiang Yang
2003 J jnl
Discovering Associations in Very Large Databases by Approximating.
Acta Cybern.
Shichao Zhang, Chengqi Zhang
2003 J jnl
Identifying Approximate Itemsets of Interest in Large Databases.
Appl. Intell.
Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb
2003 — conf
Identifying Frequent Terms in Text Databases by Association Semantics.
ITCC
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003 J jnl
Multi-Database Mining.
IEEE Intell. Informatics Bull.
Shichao Zhang, Xindong Wu, Chengqi Zhang
2003 J jnl
Post-mining: maintenance of association rules by weighting.
Inf. Syst.
Shichao Zhang, Chengqi Zhang, Xiaowei Yan
2003 J jnl
Synthesizing High-Frequency Rules from Different Data Sources.
IEEE Trans. Knowl. Data Eng.
Xindong Wu, Shichao Zhang
2003 J jnl
Temporal Constraint Satisfaction in Matrix Method.
Appl. Artif. Intell.
Chengqi Zhang, Shichao Zhang, Zili Zhang
2003 J jnl
Toward Databases Mining: Pre-Processing Collected Data.
Appl. Artif. Intell.
Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003 C conf
Verifying the Payment Authorization in SET Protocol.
IDEAL
Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2003 C conf
Verifying the Purchase Request in SET Protocol.
APWeb
Qingfeng Chen, Chengqi Zhang, Shichao Zhang, Chunsheng Li
2002 J jnl
Anytime mining for multiuser applications.
IEEE Trans. Syst. Man Cybern. Part A
Shichao Zhang, Chengqi Zhang
2002 C conf
Association Rule Mining by Agents.
ICMLA
Xiaowei Yan, Chengqi Zhang, Shichao Zhang, John K. Debenham
2002 — book
Association Rule Mining, Models and Algorithms
Chengqi Zhang, Shichao Zhang
2002 B conf
Database clustering for mining multi-databases.
FUZZ-IEEE
Chengqi Zhang, Shichao Zhang
2002 J jnl
Discovering Causality in Large Databases.
Appl. Artif. Intell.
Shichao Zhang, Chengqi Zhang
2002 J jnl
Encoding probability propagation in belief networks.
IEEE Trans. Syst. Man Cybern. Part A
Shichao Zhang, Chengqi Zhang
2002 — conf
Identifying Exceptional Patterns in Multi-Databases.
FSKD
Shichao Zhang, Chengqi Zhang, Xiaowei Yan, Zhenxing Qin
2002 — conf
Mind the Trends When You Mine: Incremental Data Mining.
FSKD
Chengqi Zhang, Shichao Zhang, Xiaowei Yan, Zhenxing Qin
2002 A* conf
Mining Both Positive and Negative Association Rules.
ICML
Xindong Wu, Chengqi Zhang, Shichao Zhang
2002 C conf
Mining Very Large Databases Using Software Agents.
ICMLA
Chengqi Zhang, Xiaowei Yan, Shichao Zhang, Paul Kennedy
2002 J jnl
Propagating Temporal Relations of Intervals by Matrix.
Appl. Artif. Intell.
Shichao Zhang, Chengqi Zhang
2001 Misc conf
A Logical Framework for Knowledge Sharing in Multi-agent Systems.
COCOON
Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, Qingfeng Chen
2001 J jnl
A model for compressing probabilities in belief networks.
Informatica (Slovenia)
Shichao Zhang, Chengqi Zhang
2001 — conf
Collecting Quality Data for Database Mining.
Australian Joint Conference on Artificial Intelligence
Chengqi Zhang, Shichao Zhang
2001 B conf
Estimating Itemsets of Interst by Sampling.
FUZZ-IEEE
Shichao Zhang, Chengqi Zhang
2001 J jnl
Large Scale Data Mining Based on Data Partitioning.
Appl. Artif. Intell.
Shichao Zhang, Xindong Wu
2001 B conf
Mining Small Databases by Collecting Knowledge.
DASFAA
Shichao Zhang, Chengqi Zhang
2001 — conf
Pattern Discovery in Probabilistic Databases.
Australian Joint Conference on Artificial Intelligence
Shichao Zhang, Chengqi Zhang
1999 J jnl
IMC: A Method for Interval Calculus in Matrix.
Knowl. Inf. Syst.
Shichao Zhang, Chengqi Zhang