Peng Zhang

237 papers A* 42A 12B 10C 4Misc 15Journal 84Unranked 70
YearRankTypeTitle / Venue / Authors
2026 J jnl
A review of graph neural networks for brain diseases analysis.
Neurocomputing
Hong Yang, Ruiwen Huang, Shanshan Ye, Peng Zhang, Yuhuai Guo, Shirui Pan, Yanchun Zhang
2026 J jnl
Contrastive Federated Learning for Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Hui Fang, Yang Gao, Peng Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu, Haishuai Wang
2026 J jnl
Generative Causality-Driven Network for Graph Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan
2025 J jnl
A data-centric framework of improving graph neural networks for knowledge graph embedding.
World Wide Web (WWW)
Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang
2025 J jnl
Action functional as an early warning indicator in the space of probability measures via Schrödinger bridge.
Quant. Biol.
Peng Zhang, Ting Gao, Jin Guo, Jinqiao Duan
2025 J jnl
Automated graph anomaly detection with large language models.
Knowl. Based Syst.
Jiaqi Yu, Yang Gao, Hong Yang, Zhihong Tian, Peng Zhang, Xingquan Zhu
2025 J jnl
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification.
ACM Trans. Knowl. Discov. Data
Li Ma, Yongchao Liu, Xiaofeng Gao, Peng Zhang, Chuntao Hong
2025 A* conf
Conformal Anomaly Detection in Event Sequences.
ICML
Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan
2025 A* conf
Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.
WWW
Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu
2025 J jnl
Equivariant Hypergraph Diffusion for Crystal Structure Prediction.
CoRR
Yang Liu, Chuan Zhou, Shuai Zhang, Peng Zhang, Xixun Lin, Shirui Pan
2025 J jnl
FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting.
IEEE Trans. Mob. Comput.
Houxin Gong, Haishuai Wang, Peng Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu
2025 J jnl
Graph neural architecture search with large language models.
Sci. China Inf. Sci.
Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Jiajun Bu, Philip S. Yu
2025 A* conf
Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformer.
ICDM
Xiaoou Zhang, Chuan Zhou, Yang Liu, Shuai Zhang, Peng Zhang, Yujia Zhu, Qingyun Liu
2025 A* conf
Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval.
ACM Multimedia
Zhengxin Pan, Haishuai Wang, Fangyu Wu, Peng Zhang, Jiajun Bu
2025 J jnl
Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval.
CoRR
Zhengxin Pan, Haishuai Wang, Fangyu Wu, Peng Zhang, Jiajun Bu
2025 J jnl
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection.
Neural Networks
Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, Chuan Zhou, Lixin Zou, Peng Zhang, Zhao Li, Dawei Yin
2025 J jnl
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search.
CoRR
Yang Gao, Hong Yang, Yizhi Chen, Junxian Wu, Peng Zhang, Haishuai Wang
2025 A* conf
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning.
AAAI
Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang
2025 J jnl
Large language models enhanced graph neural architecture search for quadratic unconstrained binary optimization.
Knowl. Based Syst.
Peng Zhang, Junxian Wu, Hong Yang, Chuan Zhou, Zhihong Tian
2025 Misc conf
Node-Centric Meta Structure Search in Heterogeneous Graphs.
ICASSP
Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Chuan Zhou, Peng Zhang, Yong Ding, Qingyun Liu, Hongyang Chen
2025 J jnl
Spatial-angular enhanced network for light-field image super-resolution with geometry-assisted upsampling.
J. Electronic Imaging
Deyang Liu, Shizheng Li, Yiren Chen, Peng Zhang, Xiaofei Zhou, Hainie Zha
2024 — conf
A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction.
DEXA (2)
Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang
2024 A* conf
CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization.
ICDM
Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu
2024 J jnl
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding.
CoRR
Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen
2024 J jnl
Combinatorial Optimization with Automated Graph Neural Networks.
CoRR
Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen
2024 J jnl
Decision-focused Graph Neural Networks for Combinatorial Optimization.
CoRR
Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen
2024 — conf
Federated Spectral Graph Neural Networks.
BESC
Jiaqi Yu, Hong Yang, Chuan Zhou, Peng Zhang, Zhihong Tian
2024 B conf
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction.
IJCNN
Xinyu Wang, Feng Qiang, Li Ma, Peng Zhang, Hong Yang, Zhao Li, Ji Zhang
2024 J jnl
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph.
CoRR
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
2024 Misc conf
Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs.
ICASSP
Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen
2024 A* conf
Neural Jump-Diffusion Temporal Point Processes.
ICML
Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma
2024 J jnl
Open-world structured sequence learning via dense target encoding.
Inf. Sci.
Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen
2024 B conf
P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges.
IJCNN
Runnan Tan, Qingfeng Tan, Haiyan Wang, Yushun Xie, Peng Zhang
2024 A conf
Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services.
ICWS
Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen
2024 J jnl
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian
2024 J jnl
The Spatio-Temporal Variation of Vegetation and Its Driving Factors during the Recent 20 Years in Beijing.
Remote. Sens.
Siya Chen, Luyan Ji, Kexin Li, Peng Zhang, Hairong Tang
2023 J jnl
An attentional-walk-based autoencoder for community detection.
Appl. Intell.
Kun Guo, Peng Zhang, Wenzhong Guo, Yuzhong Chen
2023 A* conf
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
WWW
Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang
2023 A* conf
Decision-focused Graph Neural Networks for Graph Learning and Optimization.
ICDM
Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen
2023 J jnl
Early Warning via tipping-preserving latent stochastic dynamical system and meta label correcting.
CoRR
Peng Zhang, Ting Gao, Jin Guo, Jinqiao Duan
2023 J jnl
Ethereum fraud behavior detection based on graph neural networks.
Computing
Runnan Tan, Qingfeng Tan, Qin Zhang, Peng Zhang, Yushun Xie, Zhao Li
2023 J jnl
Federated learning with ℓ1 regularization.
Pattern Recognit. Lett.
Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu
2023 J jnl
GIPA++: A General Information Propagation Algorithm for Graph Learning.
CoRR
Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou
2023 — conf
GIPA: A General Information Propagation Algorithm for Graph Learning.
DASFAA (4)
Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou
2023 J jnl
Graph Neural Architecture Search with GPT-4.
CoRR
Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu
2023 J jnl
GraphNAS++: Distributed Architecture Search for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou
2023 J jnl
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu
2023 J jnl
Heterogeneous Graph Neural Architecture Search with GPT-4.
CoRR
Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang
2023 J jnl
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks.
CoRR
Jin Guo, Ting Gao, Yufu Lan, Peng Zhang, Sikun Yang, Jinqiao Duan
2023 A* conf
Multi-Aspect Heterogeneous Graph Augmentation.
WWW
Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
2023 A* conf
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences.
ICDM
Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen
2023 — conf
Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer.
CloudNet
Yufeng Ye, Qichao He, Peng Zhang, Jie Xiao, Zhao Li
2023 J jnl
Thick Cloud Removal in Multi-Temporal Remote Sensing Images via Frequency Spectrum-Modulated Tensor Completion.
Remote. Sens.
Zhihong Chen, Peng Zhang, Yu Zhang, Xunpeng Xu, Luyan Ji, Hairong Tang
2023 J jnl
Training Compact DNNs with ℓ1/2 Regularization.
Pattern Recognit.
Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang
2022 A* conf
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
ICDM
Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang
2022 A conf
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising.
WSDM
Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu
2022 — conf
Anomaly Detection from Log Data Sequences with Perturbations.
DSC
Yixiang Chen, Linhao Ye, Yufeng Ye, Peng Zhang, Qinfeng Tan
2022 J jnl
Discrete embedding for attributed graphs.
Pattern Recognit.
Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang
2022 J jnl
HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks.
Inf. Sci.
Cong Xu, Huiling Huang, Xiaoting Ying, Jianliang Gao, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo
2022 Misc conf
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner.
ICASSP
Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang
2022 B conf
NEWSFARM: A Large-Scale Chinese Corpus of Long News Summarization.
ICPR
Shunan Zang, Chuang Zhang, Xiaojun Liu, Xiaojun Chen, Peng Zhang, Jie Liu
2022 — conf
Structure-Aware Reasoning for Knowledge Base Question Answering.
PAKDD (1)
Lu Ma, Peng Zhang, Xi Zhu, Dan Luo, Bin Wang
2022 Misc conf
Syntax-Based Graph Matching for Knowledge Base Question Answering.
ICASSP
Lu Ma, Peng Zhang, Dan Luo, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang
2021 — conf
A Random-Walk-Based Heterogeneous Attention Network for Community Detection.
ChineseCSCW (2)
Peng Zhang, Kun Guo, Ling Wu
2021 J jnl
Anomaly detection in dynamic attributed networks.
Neural Comput. Appl.
Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin
2021 A conf
Crawler Detection in Location-Based Services Using Attributed Action Net.
CIKM
Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li
2021 A* conf
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
ICDM
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang
2021 J jnl
Efficient Byzantine-Resilient Stochastic Gradient Desce.
CoRR
Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng
2021 — conf
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision.
ICANN (5)
Dan Luo, Peng Zhang, Lu Ma, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang, Lihong Wang
2021 A conf
From Community Search to Community Understanding: A Multimodal Community Query Engine.
CIKM
Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang
2021 A conf
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
CIKM
Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
2021 — conf
Graph Neural Network for Ethereum Fraud Detection.
ICBK
Runnan Tan, Qingfeng Tan, Peng Zhang, Zhao Li
2021 A* conf
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph.
IJCAI
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
2021 A* conf
Heterogeneous Graph Neural Architecture Search.
ICDM
Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu
2021 Misc conf
Improving Cross-Domain Slot Filling with Common Syntactic Structure.
ICASSP
Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang
2021 A* conf
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.
KDD
Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu
2021 A* conf
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
IJCAI
Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang
2021 A* conf
Path-based Deep Network for Candidate Item Matching in Recommenders.
SIGIR
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021 J jnl
Path-based Deep Network for Candidate Item Matching in Recommenders.
CoRR
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021 — conf
Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.
WI/IAT (Workshop/Special Session)
Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo
2021 J jnl
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents.
ACM Trans. Intell. Syst. Technol.
Yifan He, Zhao Li, Lei Fu, Anhui Wang, Peng Zhang, Shuigeng Zhou, Ji Zhang, Ting Yu
2021 — conf
TTNet: Tabular Transfer Network for Few-samples Prediction.
WI/IAT
Zhao Li, Donghui Ding, Xuanwu Liu, Peng Zhang, Youxi Wu, Lingzhou Ma
2021 J jnl
Towards embedding information diffusion data for understanding big dynamic networks.
Neurocomputing
Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan
2021 — conf
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.
WWW (Companion Volume)
Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang
2020 — conf
Answer Graph-based Interactive Attention Network for Question Answering over Knowledge Base.
ISPA/BDCloud/SocialCom/SustainCom
Lu Ma, Peng Zhang, Dan Luo, Meilin Zhou, Qi Liang, Bin Wang
2020 — conf
Compact Position-Aware Attention Network for Image Semantic Segmentation.
MMM (2)
Yajun Xu, Zhendong Mao, Peng Zhang, Bin Wang
2020 A* conf
Discrete Embedding for Latent Networks.
IJCAI
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
2020 J jnl
Dual Implicit Mining-Based Latent Friend Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Lin Cui, Jia Wu, Dechang Pi, Peng Zhang, Paul J. Kennedy
2020 — conf
Global Context-aware Representation for Implicit Discourse Relation Recognition.
ISPA/BDCloud/SocialCom/SustainCom
Meilin Zhou, Qi Liang, Peng Zhang, Lu Ma, Dan Luo, Bin Wang
2020 A* conf
Graph Neural Architecture Search.
IJCAI
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
2020 A* conf
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering.
IJCAI
Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang
2020 J jnl
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering.
CoRR
Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang
2020 A* conf
Prediction and Profiling of Audience Competition for Online Television Series.
KDD
Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang
2020 — conf
RolNE: Improving the Quality of Network Embedding with Structural Role Proximity.
WISE (1)
Qi Liang, Dan Luo, Lu Ma, Peng Zhang, Meilin Zhou, Yongquan He, Bin Wang
2020 J jnl
The method of Internet of Things access and network communication based on MQTT.
Comput. Commun.
Xiangtao Liu, Tianle Zhang, Ning Hu, Peng Zhang, Yu Zhang
2020 B conf
Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning.
IJCNN
Meilin Zhou, Qi Liang, Lu Ma, Dan Luo, Peng Zhang, Bin Wang
2019 J jnl
A neural translating general hyperplane for knowledge graph embedding.
J. Comput. Sci.
Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi
2019 B conf
Abstractive Text Summarization with Multi-Head Attention.
IJCNN
Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Pengcheng Liao, Peng Zhang
2019 J jnl
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning.
CoRR
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
2019 J jnl
Learning Shapelet Patterns from Network-Based Time Series.
IEEE Trans. Ind. Informatics
Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen
2019 — conf
Learning from Time Series with Outlier Correction for Malicious Domain Identification.
ISSRE Workshops
Guolin Tan, Peng Zhang, Lei Zhang, Yu Zhang, Chuang Zhang, Qingyun Liu, Xinran Liu
2019 A* conf
Low-Bit Quantization for Attributed Network Representation Learning.
IJCAI
Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
2019 — conf
SFDS: A Self-Feedback Detection System for DNS Hijacking Based on Multi-Protocol Cross Validation.
ICT
Caiyun Huang, Peng Zhang, Yong Sun, Yujia Zhu, Yang Liu
2019 J jnl
Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2019 — conf
Sequence to Sequence Network for Learning Network Representation.
ISPA/BDCloud/SocialCom/SustainCom
Qi Liang, Mei Lin Zhou, Lu Ma, Dan Luo, Peng Zhang, Bin Wang
2019 J jnl
Transformed ℓ1 regularization for learning sparse deep neural networks.
Neural Networks
Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
2019 J jnl
Transformed 𝓁
CoRR
Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
2018 J jnl
Adaboost-LLP: A Boosting Method for Learning With Label Proportions.
IEEE Trans. Neural Networks Learn. Syst.
Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
2018 — conf
Adaptive Malicious URL Detection: Learning in the Presence of Concept Drifts.
TrustCom/BigDataSE
Guolin Tan, Peng Zhang, Qingyun Liu, Xinran Liu, Chunge Zhu, Fenghu Dou
2018 A* conf
Binarized attributed network embedding.
ICDM
Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
2018 J jnl
Diffusion Based Network Embedding.
CoRR
Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu
2018 — conf
DomainObserver: A Lightweight Solution for Detecting Malicious Domains Based on Dynamic Time Warping.
ICCS (1)
Guolin Tan, Peng Zhang, Qingyun Liu, Xinran Liu, Chunge Zhu
2018 J jnl
Dual influence embedded social recommendation.
World Wide Web
Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang
2018 J jnl
Feature Selection With ℓ
IEEE Trans. Neural Networks Learn. Syst.
Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu
2018 — conf
MalFilter: A Lightweight Real-Time Malicious URL Filtering System in Large-Scale Networks.
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Guolin Tan, Peng Zhang, Qingyun Liu, Xinran Liu, Chunge Zhu, Li Guo
2018 — conf
Malicious Websites Identification Based on Active-Passive Method.
CNCERT
Xueqiang Zou, Peng Zhang, Caiyun Huang, Xiu-guo Bao
2018 J jnl
Multiview Privileged Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst.
Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu
2018 — conf
Redis++: A High Performance In-Memory Database Based on Segmented Memory Management and Two-Level Hash Index.
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Peng Zhang, Lichao Xing, Ninggou Yang, Guolin Tan, Qingyun Liu, Chuang Zhang
2017 J jnl
Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intell. Syst.
Qinzhe Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2017 J jnl
Data Mining on ICU Mortality Prediction Using Early Temporal Data: A Survey.
Int. J. Inf. Technol. Decis. Mak.
Jianfeng Xu, Yuanjian Zhang, Peng Zhang, Azhar Mahmood, Yu Li, Shaheen Khatoon
2017 J jnl
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov.
Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang
2017 J jnl
Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng.
Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
2017 J jnl
Nonsmooth Penalized Clustering via ℓ
IEEE Trans. Cybern.
Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
2017 B conf
ProxyDetector: A Guided Approach to Finding Web Proxies.
LCN
Zhipeng Chen, Peng Zhang, Qingyun Liu
2017 J jnl
SFCSD: A Self-Feedback Correction System for DNS Based on Active and Passive Measurement.
CoRR
Caiyun Huang, Peng Zhang, Junpeng Liu, Yong Sun, Xueqiang Zou
2017 J jnl
Toward value difference metric with attribute weighting.
Knowl. Inf. Syst.
Chaoqun Li, Liangxiao Jiang, Hongwei Li, Jia Wu, Peng Zhang
2017 J jnl
Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks
Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen
2017 B conf
WiFi fingerprint releasing for indoor localization based on differential privacy.
PIMRC
Yujia Zhu, Yu Wang, Qingyun Liu, Yang Liu, Peng Zhang
2016 — conf
A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer.
PAKDD (2)
Hailun Lin, Yuanzhuo Wang, Peng Zhang, Weiping Wang, Yinliang Yue, Zheng Lin
2016 — conf
CookieMiner: Towards real-time reconstruction of web-downloading chains from network traces.
ICC
Zhipeng Chen, Peng Zhang, Chao Zheng, Qingyun Liu
2016 A* conf
Direct Discriminative Bag Mapping for Multi-Instance Learning.
AAAI
Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu
2016 — conf
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
PAKDD (1)
Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
2016 A* conf
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
ICDM
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016 J jnl
Memetic Extreme Learning Machine.
Pattern Recognit.
Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
2016 — conf
Multiple-Instance Learning with Evolutionary Instance Selection.
DASFAA (1)
Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
2016 A* conf
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.
AAAI
Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo
2016 J jnl
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng.
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2016 — conf
Ranking-Based Music Recommendation in Online Music Radios.
DSC
Yao Lu, Zhi Qiao, Peng Zhang, Li Guo
2016 J jnl
SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit.
Jia Wu, Shirui Pan, Xingquan Zhu, Peng Zhang, Chengqi Zhang
2016 J jnl
Towards Anomalous Diffusion Sources Detection in a Large Network.
ACM Trans. Internet Techn.
Peng Zhang, Jing He, Guodong Long, Guangyan Huang, Chengqi Zhang
2016 J jnl
When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification.
Knowl. Based Syst.
Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang
2015 — conf
A Scalable Distributed Private Stream Search System.
ICDCS Workshops
Peng Zhang, Yan Li, Qingyun Liu, Hailun Lin
2015 — conf
A Scheduling Framework for Periodic Tasks in Geo-Distributed Data Centers.
SOSE
Yan Li, Hong Zhang, Yong Wang, Xinran Liu, Peng Zhang
2015 C ed.
Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings
ICDS
Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He
2015 A conf
Defragging Subgraph Features for Graph Classification.
CIKM
Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
2015 J jnl
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng.
Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2015 — conf
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data.
PAKDD (2)
Peng Wang, Chuan Zhou, Peng Zhang, Weiwei Feng, Li Guo, Binxing Fang
2015 — conf
Fast Search for Distance Dependent Chinese Restaurant Processes.
WWW (Companion Volume)
Weiwei Feng, Peng Wang, Chuan Zhou, Li Guo, Peng Zhang
2015 A* conf
Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation.
IJCAI
Weixue Lu, Peng Zhang, Chuan Zhou, Chun-Yi Liu, Li Gao
2015 J jnl
Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach.
J. Comput. Sci.
Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo
2015 — conf
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.
ICONIP (4)
Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan
2015 A conf
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.
CIKM
Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Guo Li
2015 J jnl
Modelling semantics across multiple time series and its applications.
Knowl. Based Syst.
Zhi Qiao, Guangyan Huang, Jing He, Peng Zhang, Yanchun Zhang, Li Guo
2015 J jnl
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization.
IEEE Trans. Knowl. Data Eng.
Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo
2015 — conf
Online Event Recommendation for Event-based Social Networks.
WWW (Companion Volume)
Xiancai Ji, Zhi Qiao, Mingze Xu, Peng Zhang, Chuan Zhou, Li Guo
2015 B conf
Online diffusion source detection in social networks.
IJCNN
Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
2015 J jnl
Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl.
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang
2015 Misc conf
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.
ADC
Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
2015 — conf
Topic-aware Source Locating in Social Networks.
WWW (Companion Volume)
Wenyu Zang, Chuan Zhou, Li Guo, Peng Zhang
2015 A* conf
Towards Mining Trapezoidal Data Streams.
ICDM
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2014 — conf
A Memory-Based Continuous Query Index for Stream Processing.
BigData Congress
Cuiwen Xiong, Peng Zhang, Yan Li, Shipeng Zhang, Qingyun Liu, Jianlong Tan
2014 Misc conf
A Multi-layer Event Detection Algorithm for Detecting Global and Local Hot Events in Social Networks.
ICCS
Zhicong Tan, Peng Zhang, Jianlong Tan, Li Guo
2014 — conf
An upper bound based greedy algorithm for mining top-k influential nodes in social networks.
WWW (Companion Volume)
Chuan Zhou, Peng Zhang, Jing Guo, Li Guo
2014 A* conf
Combining Heterogenous Social and Geographical Information for Event Recommendation.
AAAI
Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang
2014 — conf
Combining geographical information of users and content of items for accurate rating prediction.
WWW (Companion Volume)
Zhi Qiao, Peng Zhang, Jing He, Yanan Cao, Chuan Zhou, Li Guo
2014 J jnl
Comparative study between incremental and ensemble learning on data streams: Case study.
J. Big Data
Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo
2014 — conf
Cooperative Beamforming in Cognitive Radio Network with Two-Way Relay.
VTC Spring
Jianwei Zhang, Li Guo, Tianyu Kang, Peng Zhang
2014 Misc conf
Discovering Multiple Diffusion Source Nodes in Social Networks.
ICCS
Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo
2014 — conf
Estimating the Locations of Emergency Events from Twitter Streams.
ITQM
Ji Ao, Peng Zhang, Yanan Cao
2014 A* conf
Event Recommendation in Event-Based Social Networks.
AAAI
Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang
2014 — conf
Folksonomy-Based In-Depth Annotation of Web Services.
SOSE
Yan Li, Jinhua Xiong, Xinran Liu, Hong Zhang, Peng Zhang
2014 — conf
Forward Classification on Data Streams.
PAKDD (1)
Peng Wang, Peng Zhang, Yanan Cao, Li Guo, Binxing Fang
2014 Misc conf
Improving Collaborative Recommendation via Location-based User-item Subgroup.
ICCS
Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo
2014 — conf
Joint Optimization of Power and Filter-and-Forward Beamforming in Cognitive Networks with Frequency Selective Channels.
VTC Spring
Peng Zhang, Li Guo, Tianyu Kang, Jianwei Zhang
2014 Misc conf
Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists.
ICCS
Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo
2014 — conf
Maximizing the long-term integral influence in social networks under the voter model.
WWW (Companion Volume)
Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo
2014 Misc conf
Mining Large-scale Event Knowledge from Web Text.
ICCS
Yanan Cao, Peng Zhang, Jing Guo, Li Guo
2014 — conf
On the Frequency Distribution of Retweets.
ITQM
Yao Lu, Peng Zhang, Yanan Cao, Yue Hu, Li Guo
2014 A* conf
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
ICDM
Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo
2013 — conf
A New Interest-Sensitive and Network-Sensitive Method for User Recommendation.
NAS
Yanmin Shang, Peng Zhang, Yanan Cao
2013 C conf
Behavioral targeting with social regularization.
ISI
Yanmin Shang, Peng Zhang, Yanan Cao, Li Guo
2013 — conf
Detecting Sybil Nodes in Anonymous Communication Systems.
ITQM
Wenyu Zang, Peng Zhang, Xiao Wang, Jinqiao Shi, Li Guo
2013 — conf
Discovering Semantics from Multiple Correlated Time Series Stream.
PAKDD (2)
Zhi Qiao, Guangyan Huang, Jing He, Peng Zhang, Li Guo, Jie Cao, Yanchun Zhang
2013 — conf
Item-Based Top-k Influential User Discovery in Social Networks.
ICDM Workshops
Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo
2013 — conf
Mining Explainable User Interests from Scalable User Behavior Data.
ITQM
Jun Li, Peng Zhang
2013 — conf
Parallel auto-encoder for efficient outlier detection.
IEEE BigData
Yunlong Ma, Peng Zhang, Yanan Cao, Li Guo
2013 A conf
Personalized influence maximization on social networks.
CIKM
Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo
2013 Misc conf
The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction.
ICCS
Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi
2013 A* conf
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
ICDM
Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo
2013 J jnl
User-Centric Organization of Search Results.
IEEE Internet Comput.
Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan
2012 J jnl
A framework for application-driven classification of data streams.
Neurocomputing
Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo
2012 A* conf
Efficient Behavior Targeting Using SVM Ensemble Indexing.
ICDM
Jun Li, Peng Zhang, Yanan Cao, Ping Liu, Li Guo
2012 Misc conf
Mining Hot Topics from Twitter Streams.
ICCS
Jing Guo, Peng Zhang, Jianlong Tan, Li Guo
2012 A conf
Mining Multi-Label Data Streams Using Ensemble-Based Active Learning.
SDM
Peng Wang, Peng Zhang, Li Guo
2012 C conf
Multiple Time Series Anomaly Detection Based on Compression and Correlation Analysis: A Medical Surveillance Case Study.
APWeb
Zhi Qiao, Jing He, Jie Cao, Guangyan Huang, Peng Zhang
2011 B conf
Adaptive Shared-Filter Ordering for Efficient Multimedia Stream Monitoring.
ICTAI
Jun Li, Peng Wang, Peng Zhang, Jianlong Tan
2011 A conf
Continuous data stream query in the cloud.
CIKM
Jun Li, Peng Zhang, Jianlong Tan, Ping Liu, Li Guo
2011 J jnl
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.
Int. J. Data Warehous. Min.
Donghong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi
2011 A* conf
Enabling Fast Lazy Learning for Data Streams.
ICDM
Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo
2011 A* conf
Enabling fast prediction for ensemble models on data streams.
KDD
Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2011 A conf
Mining frequent patterns across multiple data streams.
CIKM
Jing Guo, Peng Zhang, Jianlong Tan, Li Guo
2011 — conf
Predictive Data Stream Filtering.
Web Intelligence/IAT Workshops
Jun Li, Wenyu Zang, Jianlong Tan, Peng Zhang
2011 J jnl
Robust ensemble learning for mining noisy data streams.
Decis. Support Syst.
Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, Xindong Wu
2010 — conf
A New Weighted Ensemble Model for Detecting DoS Attack Streams.
Web Intelligence/IAT Workshops
Jinghua Yan, Xiao-chun Yun, Peng Zhang, Jianlong Tan, Li Guo
2010 J jnl
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.
IEEE Trans. Syst. Man Cybern. Part B
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
2010 A* conf
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams.
ICDM
Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo
2010 Misc conf
Knowledge extraction from multiple criteria linear programming classification approach.
ICCS
Yuejin Zhang, Peng Zhang, Lingling Zhang, Yong Shi
2010 C conf
Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds.
ICMLA
Zhi Qiao, Peng Zhang, Jing He, Jinghua Yan, Li Guo
2010 J jnl
Multiple criteria programming models for VIP E-Mail behavior analysis.
Web Intell. Agent Syst.
Peng Zhang, Xingquan Zhu, Zhiwang Zhang, Yong Shi
2010 A conf
SKIF: a data imputation framework for concept drifting data streams.
CIKM
Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo
2009 — conf
A New Classification Method for PCA-Based Face Recognition.
BIFE
Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang
2009 A* conf
A New Kernel-Based Classification Algorithm.
ICDM
Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi
2009 — conf
A New Research Field: Intelligent Knowledge Management.
BIFE
Lingling Zhang, Jun Li, Aihua Li, Peng Zhang, Guangli Nie, Yong Shi
2009 — conf
A Study on Identifying Essential Hyperplanes for Constructing a Multiclass Classification Model.
NCM
Sung-Hyuk Park, Soon-Young Huh, Peng Zhang, Yong Shi
2009 B conf
An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.
PAKDD
Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu
2009 — conf
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models.
ICCS (2)
Peng Zhang, Xingquan Zhu, Yong Shi
2009 — conf
Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China.
ICCS (2)
Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi
2009 — conf
Kernel Based Regularized Multiple Criteria Linear Programming Model.
ICCS (2)
Yuehua Zhang, Peng Zhang, Yong Shi
2009 A* conf
Mining Data Streams with Labeled and Unlabeled Training Examples.
ICDM
Peng Zhang, Xingquan Zhu, Li Guo
2009 — conf
Multiple Criteria Quadratic Programming for Financial Distress Prediction of the Listed Manufacturing Companies.
ICCS (2)
Ying Wang, Peng Zhang, Guangli Nie, Yong Shi
2009 — conf
Personal Financial Market Segmentation Based on Clustering Ensembles.
CSIE (3)
Guoxun Wang, Guangli Nie, Peng Zhang, Yong Shi
2009 J jnl
Regularized multiple criteria linear programs for classification.
Sci. China Ser. F Inf. Sci.
Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang
2009 J jnl
Several multi-criteria programming methods for classification.
Comput. Oper. Res.
Juliang Zhang, Yong Shi, Peng Zhang
2009 — conf
Transfer Knowledge via Relational K-Means Method.
BIFE
Peng Zhang, Lingling Zhang, Guangli Nie, Yuejin Zhang, Yong Shi
2008 — conf
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles.
Web Intelligence/IAT Workshops
Meihong Zhu, Yong Shi, Aihua Li, Peng Zhang
2008 — conf
A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification.
ICCS (2)
Zhiwang Zhang, Yong Shi, Peng Zhang, Guangxia Gao
2008 A* conf
Categorizing and mining concept drifting data streams.
KDD
Peng Zhang, Xingquan Zhu, Yong Shi
2008 A* conf
Cleansing Noisy Data Streams.
ICDM
Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi
2008 — conf
DEA-Based Comprehensive Evaluation of Intelligent Knowledge.
Web Intelligence/IAT Workshops
Lingling Zhang, Jie Wei, Anqiang Huang, Jun Li, Peng Zhang
2008 J jnl
Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset.
Int. J. Softw. Informatics
Peng Zhang, Zhiwang Zhang, Aihua Li, Yong Shi
2008 — conf
Kernel-Based Nonparametric Regression Method.
Web Intelligence/IAT Workshops
Dongling Zhang, Yingjie Tian, Peng Zhang
2008 — conf
Select Objective Functions for Multiple Criteria Programming Classification.
Web Intelligence/IAT Workshops
Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu
2008 — conf
Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification.
ICCS (2)
Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi
2007 Misc conf
A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis.
International Conference on Computational Science (2)
Peng Zhang, Juliang Zhang, Yong Shi
2007 — conf
A Regularized Multiple Criteria Linear Program for Classification.
ICDM Workshops
Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang
2007 A* conf
Active Learning from Data Streams.
ICDM
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
2007 J jnl
Data Mining Consulting Improve Data Quality.
Data Sci. J.
Xingsen Li, Yong Shi, Jun Li, Peng Zhang