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ORCIDPeng Zhang 0001
Person information
- affiliation: Guangzhou University, Cyberspace Institute of Advanced Technology, China
- affiliation (former): University of Technology Sydney, Research Center on Quantum Computation and Intelligent Systems, Sydney, Australia
- affiliation (former): Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- affiliation (former): Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (former): Chinese Academy of Sciences, Research Center on Fictitious Economy & Data Science, Beijing, China
- affiliation (PhD 2009): Graduate University of Chinese Academy of Sciences, Beijing, China
- Peng Zhang 0022
Other persons with the same name
- Peng Zhang — disambiguation page
- Peng Zhang 0002
![[0000-0003-0228-9330]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0228-9330")
— Tianjin University, Key Laboratory of Cognitive Computing and Application, Tianjin, China (and 1 more) - Peng Zhang 0003 — Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China
- Peng Zhang 0004 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China (and 2 more)
- Peng Zhang 0005 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Peng Zhang 0006 — Stony Brook University, Department of Biomedical Engineering, NY, USA
- Peng Zhang 0007 — Peking University, Advanced Institute of Information Technology, Hangzhou, China (and 2 more)
- Peng Zhang 0008 — Shandong University, School of Computer Science and Technology, Jinan, China (and 1 more)
- Peng Zhang 0009 — Weifang University, School of Computer Engineering, China (and 1 more)
- Peng Zhang 0010 — National Disaster Reduction Center of China, Beijing, China (and 1 more)
- Peng Zhang 0011 — Xi'an Jiaotong University, Key Lab for Intelligent Networks and Network Security, China (and 1 more)
- Peng Zhang 0012 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen Key Laboratory of Minimally Invasive Surgical Robotics and System, China (and 2 more)
- Peng Zhang 0013 — Heilongjiang University, Department of Automation, Harbin, China (and 1 more)
- Peng Zhang 0014 — Shanghai University, Shanghai Institute of Applied Mathematics and Mechanics, Shanghai, China
- Peng Zhang 0015 — Stony Brook University, Department of Electrical Engineering and Computer Science, NY, USA (and 1 more)
- Peng Zhang 0016 — Tulane University, New Orleans, LA, USA
- Peng Zhang 0017 — Alibaba Group, Zhejiang, China (and 1 more)
- Peng Zhang 0018 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Peng Zhang 0019 — Huawei Technologies, Shanghai, China (and 1 more)
- Peng Zhang 0020 — Institute for Infocomm Research, Singapore (and 1 more)
- Peng Zhang 0021 — Australian National University, Canberra, Australia
- Peng Zhang 0022 — North China University of Technology, Beijing, China (and 4 more)
- Peng Zhang 0023 — Virginia Tech, Blacksburg, VA, USA
- Peng Zhang 0024 — China Meteorological Administration, National Satellite Meteorological Center, Beijing, China (and 2 more)
- Peng Zhang 0025 — Wuhan University of Science and Technology, School of Management, Wuhan, China
- Peng Zhang 0026 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China
- Peng Zhang 0027 — University Paris-Est, LAMA, Paris, France
- Peng Zhang 0028 — Eindhoven University of Technology, Electrical Engineering Department, The Netherlands
- Peng Zhang 0029 — Shenzhen University, ATR Key Laboratory of National Defense Technology, China
- Peng Zhang 0030 — Ulsan National Institute of Science and Technology, South Korea (and 1 more)
- Peng Zhang 0031 — Shanghai University, School of Management, China
- Peng Zhang 0032 — Harbin Engineering University, College of Automation, China
- Peng Zhang 0033 — National University of Singapore, Department of Pharmacy, Bioinformatics and Drug Design Group, Singapore
- Peng Zhang 0034 — Vanderbilt University, Institute for Software Integrated Systems, Nashville, TN, USA
- Peng Zhang 0035 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Peng Zhang 0036 — Harbin Institute of Technology, Department of Mathematics, China
- Peng Zhang 0037 — Capital Normal University, School of Mathematical Sciences, Beijing, China (and 2 more)
- Peng Zhang 0038 — Wuhan University, School of Electrical Engineering, China
- Peng Zhang 0039 — Wuhan University, School of Geodesy and Geomatics / Research Center for High Accuracy Location Awareness, China
- Peng Zhang 0040 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Peng Zhang 0041 — Hefei University of Technology, School of Electrical Engineering and Automation, China
- Peng Zhang 0042 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Peng Zhang 0043 — Tongji University, School of Economics and Management, Shanghai, China
- Peng Zhang 0044 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Peng Zhang 0045 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Peng Zhang 0046 — Zhengzhou University, School of Water Conservancy and Environment, Zhengzhou, China
- Peng Zhang 0047 — University of Texas MD Anderson Cancer Center, Houston, TX, USA (and 2 more)
- Peng Zhang 0048 — Chinese Academy of Sciences, Institute of Biophysics, State Key Laboratory of Brain and Cognitive Science, Beijing, China (and 1 more)
- Peng Zhang 0049 — Shanghai Jiao Tong University, Institute of Intelligent Manufacturing and Information Engineering, Shanghai, China
- Peng Zhang 0050 — University of Maryland, School of Medicine, Baltimore, MD, USA (and 1 more)
- Peng Zhang 0051 — Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Peng Zhang 0052 — Rutgers University, NJ, USA (and 1 more)
- Peng Zhang 0053 — Jilin University, College of Computer Science and Technology, Changchun, China
- Peng Zhang 0054 — Beijing Jiaotong University, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China
- Peng Zhang 0055 — East China Normal University, National Trusted Embedded Software Engineering Technology Research Center, Shanghai, China
- Peng Zhang 0056 — Northwestern Polytechnical University, National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China (and 1 more)
- Peng Zhang 0057 — Shandong University, School of Information Science and Engineering, Qingdao, China (and 1 more)
- Peng Zhang 0058 — Newcastle University, Newcastle upon Tyne, UK
- Peng Zhang 0059 — Nanjing University, School of Geography and Ocean Science, Nanjing, China
- Peng Zhang 0060 — Fudan University, Shanghai, China
- Peng Zhang 0061 — National University of Defense Technology, Software Institute, College of Computer, Compiler Laboratory, Changsha, China
- Peng Zhang 0062 — Chinese Academy of Medical Sciences, Institute of Basic Medical Sciences, Beijing, China (and 1 more)
- Peng Zhang 0063 — Swinburne University of Technology, Department of Computer Science and Software Engineering, Hawthorn, VIC, Australia (and 2 more)
- Peng Zhang 0064 — Shanxi University, School of Computer and Information Technology, Taiyuan, China
- Peng Zhang 0065 — Beijing Jiaotong University, School of Electronics and Information Engineering, China (and 1 more)
- Peng Zhang 0066 — South China Normal University, School of Economics and Management, Guangzhou, China
- Peng Zhang 0067 — University of Electronic Science and Technology of China, School of Science, Mianyang, China
- Peng Zhang 0068 — Qingdao University of Technology, School of Civil Engineering, China
- Peng Zhang 0069 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Peng Zhang 0070 — Shanghai University of Medicine & Health Sciences, School of Clinical Medicine, China
- Peng Zhang 0071 — Space Engineering University, Beijing, China
- Peng Zhang 0072 — Chang'an University, School of Electronic and Control Engineering, Xi'an, China
- Peng Zhang 0073 — Central South University, School of Automation, Changsha, China
- Peng Zhang 0074 — Tianjin University of Science and Technology, Tianjin Key Laboratory for Integrated Design / Online Monitor Center of Light Design and Food Engineering Machinery Equipment, China
- Peng Zhang 0075 — Hikvision Research Institute, China (and 1 more)
- Peng Zhang 0076 — Blekinge Institute of Technology, Sweden
- Peng Zhang 0077 — Tsinghua University, Department of Computer Science and Technology, DCST, China
- Peng Zhang 0078 — Beihang University, School of Biological Science and Medical Engineering, Beijing, China
- Peng Zhang 0079 — Sun Yat-Sen University, School of Electronics and Communications Engineering, Shenzhen, China (and 1 more)
- Peng Zhang 0080 — Alibaba Group, Damo Academy, Hangzhou, China (and 1 more)
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2020 – today
- 2024
[j50]Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen:
Open-world structured sequence learning via dense target encoding. Inf. Sci. 680: 121147 (2024)- [j49]Siya Chen, Luyan Ji, Kexin Li, Peng Zhang, Hairong Tang:
The Spatio-Temporal Variation of Vegetation and Its Driving Factors during the Recent 20 Years in Beijing. Remote. Sens. 16(5): 851 (2024) - [j48]Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian:
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4607-4621 (2024) - [c135]Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang:
A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. DEXA (2) 2024: 272-287 - [c134]Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen:
Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. ICASSP 2024: 5195-5199 - [c133]Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma:
Neural Jump-Diffusion Temporal Point Processes. ICML 2024 - [c132]Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen:
Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. ICWS 2024: 557-567 - [c131]Runnan Tan, Qingfeng Tan, Haiyan Wang, Yushun Xie, Peng Zhang:
P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges. IJCNN 2024: 1-10 - [i13]Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang:
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. CoRR abs/2402.12074 (2024) - [i12]Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen:
Combinatorial Optimization with Automated Graph Neural Networks. CoRR abs/2406.02872 (2024) - [i11]Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Combinatorial Optimization. CoRR abs/2406.03647 (2024) - [i10]Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen:
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. CoRR abs/2408.14840 (2024) - 2023
- [j47]Runnan Tan, Qingfeng Tan, Qin Zhang, Peng Zhang, Yushun Xie, Zhao Li:
Ethereum fraud behavior detection based on graph neural networks. Computing 105(10): 2143-2170 (2023) - [j46]Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang:
Training Compact DNNs with ℓ1/2 Regularization. Pattern Recognit. 136: 109206 (2023) - [j45]Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu:
Federated learning with ℓ1 regularization. Pattern Recognit. Lett. 172: 15-21 (2023) - [j44]Zhihong Chen, Peng Zhang, Yu Zhang, Xunpeng Xu, Luyan Ji, Hairong Tang:
Thick Cloud Removal in Multi-Temporal Remote Sensing Images via Frequency Spectrum-Modulated Tensor Completion. Remote. Sens. 15(5): 1230 (2023) - [j43]Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou:
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 6973-6987 (2023) - [j42]Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu:
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9448-9461 (2023) - [c130]Yufeng Ye, Qichao He, Peng Zhang, Jie Xiao, Zhao Li:
Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer. CloudNet 2023: 381-388 - [c129]Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou:
GIPA: A General Information Propagation Algorithm for Graph Learning. DASFAA (4) 2023: 465-476 - [c128]Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen:
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. ICDM 2023: 808-817 - [c127]Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Graph Learning and Optimization. ICDM 2023: 1151-1156 - [c126]Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang:
Multi-Aspect Heterogeneous Graph Augmentation. WWW 2023: 39-48 - [c125]Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang:
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. WWW 2023: 221-230 - [i9]Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou:
GIPA++: A General Information Propagation Algorithm for Graph Learning. CoRR abs/2301.08209 (2023) - [i8]Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu:
Graph Neural Architecture Search with GPT-4. CoRR abs/2310.01436 (2023) - [i7]Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang:
Heterogeneous Graph Neural Architecture Search with GPT-4. CoRR abs/2312.08680 (2023) - 2022
- [j41]Cong Xu, Huiling Huang, Xiaoting Ying, Jianliang Gao, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. Inf. Sci. 607: 783-798 (2022) - [j40]Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang:
Discrete embedding for attributed graphs. Pattern Recognit. 123: 108368 (2022) - [c124]Yixiang Chen, Linhao Ye, Yufeng Ye, Peng Zhang, Qinfeng Tan:
Anomaly Detection from Log Data Sequences with Perturbations. DSC 2022: 183-190 - [c123]Lu Ma, Peng Zhang, Dan Luo, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang:
Syntax-Based Graph Matching for Knowledge Base Question Answering. ICASSP 2022: 8227-8231 - [c122]Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang:
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP 2022: 8347-8351 - [c121]Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM 2022: 703-712 - [c120]Lu Ma, Peng Zhang, Xi Zhu, Dan Luo, Bin Wang:
Structure-Aware Reasoning for Knowledge Base Question Answering. PAKDD (1) 2022: 562-573 - [c119]Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu:
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising. WSDM 2022: 132-140 - 2021
- [j39]Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan:
Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing 466: 265-284 (2021) - [j38]Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin:
Anomaly detection in dynamic attributed networks. Neural Comput. Appl. 33(6): 2125-2136 (2021) - [j37]Yifan He, Zhao Li, Lei Fu, Anhui Wang, Peng Zhang, Shuigeng Zhou, Ji Zhang, Ting Yu:
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. ACM Trans. Intell. Syst. Technol. 12(6): 72:1-72:19 (2021) - [c118]Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu:
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM 2021: 4184-4192 - [c117]Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li:
Crawler Detection in Location-Based Services Using Attributed Action Net. CIKM 2021: 4234-4242 - [c116]Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang:
From Community Search to Community Understanding: A Multimodal Community Query Engine. CIKM 2021: 4749-4753 - [c115]Dan Luo, Peng Zhang, Lu Ma, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang, Lihong Wang:
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision. ICANN (5) 2021: 357-368 - [c114]Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang:
Improving Cross-Domain Slot Filling with Common Syntactic Structure. ICASSP 2021: 7638-7642 - [c113]Runnan Tan, Qingfeng Tan, Peng Zhang, Zhao Li:
Graph Neural Network for Ethereum Fraud Detection. ICBK 2021: 78-85 - [c112]Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang:
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM 2021: 360-369 - [c111]Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu:
Heterogeneous Graph Neural Architecture Search. ICDM 2021: 1066-1071 - [c110]Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang:
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. IJCAI 2021: 1915-1921 - [c109]Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang:
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. IJCAI 2021: 3536-3542 - [c108]Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu:
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD 2021: 3670-3678 - [c107]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021: 1493-1502 - [c106]Zhao Li, Donghui Ding, Xuanwu Liu, Peng Zhang, Youxi Wu, Lingzhou Ma:
TTNet: Tabular Transfer Network for Few-samples Prediction. WI/IAT 2021: 293-301 - [c105]Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. WI/IAT (Workshop/Special Session) 2021: 428-432 - [c104]Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang:
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. WWW (Companion Volume) 2021: 105-113 - [i6]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR abs/2105.08246 (2021) - 2020
- [j36]Xiangtao Liu, Tianle Zhang, Ning Hu, Peng Zhang, Yu Zhang:
The method of Internet of Things access and network communication based on MQTT. Comput. Commun. 153: 169-176 (2020) - [j35]Lin Cui, Jia Wu, Dechang Pi, Peng Zhang, Paul J. Kennedy:
Dual Implicit Mining-Based Latent Friend Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1663-1678 (2020) - [c103]Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang:
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. IJCAI 2020: 1083-1089 - [c102]Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang:
Discrete Embedding for Latent Networks. IJCAI 2020: 1223-1229 - [c101]Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
Graph Neural Architecture Search. IJCAI 2020: 1403-1409 - [c100]Meilin Zhou, Qi Liang, Lu Ma, Dan Luo, Peng Zhang, Bin Wang:
Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning. IJCNN 2020: 1-8 - [c99]Meilin Zhou, Qi Liang, Peng Zhang, Lu Ma, Dan Luo, Bin Wang:
Global Context-aware Representation for Implicit Discourse Relation Recognition. ISPA/BDCloud/SocialCom/SustainCom 2020: 458-465 - [c98]Lu Ma, Peng Zhang, Dan Luo, Meilin Zhou, Qi Liang, Bin Wang:
Answer Graph-based Interactive Attention Network for Question Answering over Knowledge Base. ISPA/BDCloud/SocialCom/SustainCom 2020: 521-528 - [c97]Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang:
Prediction and Profiling of Audience Competition for Online Television Series. KDD 2020: 1353-1361 - [c96]Yajun Xu, Zhendong Mao, Peng Zhang, Bin Wang:
Compact Position-Aware Attention Network for Image Semantic Segmentation. MMM (2) 2020: 639-650 - [c95]Qi Liang, Dan Luo, Lu Ma, Peng Zhang, Meilin Zhou, Yongquan He, Bin Wang:
RolNE: Improving the Quality of Network Embedding with Structural Role Proximity. WISE (1) 2020: 16-28 - [i5]Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang:
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. CoRR abs/2012.11528 (2020)
2010 – 2019
- 2019
- [j34]Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed ℓ1 regularization for learning sparse deep neural networks. Neural Networks 119: 286-298 (2019) - [j33]Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang:
Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2193-2207 (2019) - [j32]Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen:
Learning Shapelet Patterns from Network-Based Time Series. IEEE Trans. Ind. Informatics 15(7): 3864-3876 (2019) - [c94]Caiyun Huang, Peng Zhang, Yong Sun, Yujia Zhu, Yang Liu:
SFDS: A Self-Feedback Detection System for DNS Hijacking Based on Multi-Protocol Cross Validation. ICT 2019: 238-243 - [c93]Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang:
Low-Bit Quantization for Attributed Network Representation Learning. IJCAI 2019: 4047-4053 - [c92]Qi Liang, Mei Lin Zhou, Lu Ma, Dan Luo, Peng Zhang, Bin Wang:
Sequence to Sequence Network for Learning Network Representation. ISPA/BDCloud/SocialCom/SustainCom 2019: 1078-1084 - [c91]Guolin Tan, Peng Zhang, Lei Zhang, Yu Zhang, Chuang Zhang, Qingyun Liu, Xinran Liu:
Learning from Time Series with Outlier Correction for Malicious Domain Identification. ISSRE Workshops 2019: 42-46 - [i4]Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. CoRR abs/1901.01021 (2019) - [i3]Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. CoRR abs/1904.09981 (2019) - 2018
- [j31]Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu:
Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3463-3477 (2018) - [j30]Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang:
Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3548-3559 (2018) - [j29]Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu:
Feature Selection With ℓ2, 1-2 Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4967-4982 (2018) - [j28]Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang:
Dual influence embedded social recommendation. World Wide Web 21(4): 849-874 (2018) - [c90]Xueqiang Zou, Peng Zhang, Caiyun Huang, Xiu-guo Bao:
Malicious Websites Identification Based on Active-Passive Method. CNCERT 2018: 109-121 - [c89]Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang:
Binarized attributed network embedding. ICDM 2018: 1476-1481 - [i2]Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu:
Diffusion Based Network Embedding. CoRR abs/1805.03504 (2018) - 2017
- [j27]Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen:
Towards large-scale social networks with online diffusion provenance detection. Comput. Networks 114: 154-166 (2017) - [j26]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang:
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. Data Min. Knowl. Discov. 31(1): 32-64 (2017) - [j25]Qinzhe Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang:
Collective Hyping Detection System for Identifying Online Spam Activities. IEEE Intell. Syst. 32(5): 53-63 (2017) - [j24]Chaoqun Li, Liangxiao Jiang, Hongwei Li, Jia Wu, Peng Zhang:
Toward value difference metric with attribute weighting. Knowl. Inf. Syst. 50(3): 795-825 (2017) - [j23]Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang:
Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression. IEEE Trans. Cybern. 47(6): 1423-1433 (2017) - [j22]Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu:
Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. 29(1): 128-142 (2017) - [c88]Zhipeng Chen, Peng Zhang, Qingyun Liu:
ProxyDetector: A Guided Approach to Finding Web Proxies. LCN 2017: 676-682 - [c87]Yujia Zhu, Yu Wang, Qingyun Liu, Yang Liu, Peng Zhang:
WiFi fingerprint releasing for indoor localization based on differential privacy. PIMRC 2017: 1-6 - [i1]Caiyun Huang, Peng Zhang, Junpeng Liu, Yong Sun, Xueqiang Zou:
SFCSD: A Self-Feedback Correction System for DNS Based on Active and Passive Measurement. CoRR abs/1704.06569 (2017) - 2016
- [j21]Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang:
When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. Knowl. Based Syst. 107: 54-60 (2016) - [j20]Jia Wu, Shirui Pan, Xingquan Zhu, Peng Zhang, Chengqi Zhang:
SODE: Self-Adaptive One-Dependence Estimators for classification. Pattern Recognit. 51: 358-377 (2016) - [j19]Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen:
Memetic Extreme Learning Machine. Pattern Recognit. 58: 135-148 (2016) - [j18]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. 28(10): 2709-2723 (2016) - [j17]Peng Zhang, Jing He, Guodong Long, Guangyan Huang, Chengqi Zhang:
Towards Anomalous Diffusion Sources Detection in a Large Network. ACM Trans. Internet Techn. 16(1): 2:1-2:24 (2016) - [c86]Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo:
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. AAAI 2016: 79-86 - [c85]Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu:
Direct Discriminative Bag Mapping for Multi-Instance Learning. AAAI 2016: 4274-4275 - [c84]Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai:
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) 2016: 229-241 - [c83]Yao Lu, Zhi Qiao, Peng Zhang, Li Guo:
Ranking-Based Music Recommendation in Online Music Radios. DSC 2016: 614-619 - [c82]Zhipeng Chen, Peng Zhang, Chao Zheng, Qingyun Liu:
CookieMiner: Towards real-time reconstruction of web-downloading chains from network traces. ICC 2016: 1-6 - [c81]Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang:
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. ICDM 2016: 669-678 - [c80]Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang:
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. PAKDD (1) 2016: 40-51 - [c79]Hailun Lin, Yuanzhuo Wang, Peng Zhang, Weiping Wang, Yinliang Yue, Zheng Lin:
A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer. PAKDD (2) 2016: 325-337 - 2015
- [j16]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang:
Self-adaptive attribute weighting for Naive Bayes classification. Expert Syst. Appl. 42(3): 1487-1502 (2015) - [j15]Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo:
Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach. J. Comput. Sci. 10: 278-287 (2015) - [j14]Zhi Qiao, Guangyan Huang, Jing He, Peng Zhang, Yanchun Zhang, Li Guo:
Modelling semantics across multiple time series and its applications. Knowl. Based Syst. 85: 27-36 (2015) - [j13]Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo:
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Trans. Knowl. Data Eng. 27(2): 461-474 (2015) - [j12]Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo:
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization. IEEE Trans. Knowl. Data Eng. 27(10): 2770-2783 (2015) - [c78]Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang:
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC 2015: 318-322 - [c77]Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang:
Defragging Subgraph Features for Graph Classification. CIKM 2015: 1687-1690 - [c76]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Guo Li:
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. CIKM 2015: 1919-1922 - [c75]Peng Zhang, Yan Li, Qingyun Liu, Hailun Lin:
A Scalable Distributed Private Stream Search System. ICDCS Workshops 2015: 128-135 - [c74]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Towards Mining Trapezoidal Data Streams. ICDM 2015: 1111-1116 - [c73]Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan:
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. ICONIP (4) 2015: 111-119 - [c72]Weixue Lu, Peng Zhang, Chuan Zhou, Chun-Yi Liu, Li Gao:
Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation. IJCAI 2015: 2076-2082 - [c71]Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang:
Online diffusion source detection in social networks. IJCNN 2015: 1-8 - [c70]Peng Wang, Chuan Zhou, Peng Zhang, Weiwei Feng, Li Guo, Binxing Fang:
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data. PAKDD (2) 2015: 79-91 - [c69]Yan Li, Hong Zhang, Yong Wang, Xinran Liu, Peng Zhang:
A Scheduling Framework for Periodic Tasks in Geo-Distributed Data Centers. SOSE 2015: 247-252 - [c68]Weiwei Feng, Peng Wang, Chuan Zhou, Li Guo, Peng Zhang:
Fast Search for Distance Dependent Chinese Restaurant Processes. WWW (Companion Volume) 2015: 33-34 - [c67]Xiancai Ji, Zhi Qiao, Mingze Xu, Peng Zhang, Chuan Zhou, Li Guo:
Online Event Recommendation for Event-based Social Networks. WWW (Companion Volume) 2015: 45-46 - [c66]Wenyu Zang, Chuan Zhou, Li Guo, Peng Zhang:
Topic-aware Source Locating in Social Networks. WWW (Companion Volume) 2015: 141-142 - [e1]Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He:
Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings. Lecture Notes in Computer Science 9208, Springer 2015, ISBN 978-3-319-24473-0 [contents] - 2014
- [j11]Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo:
Comparative study between incremental and ensemble learning on data streams: Case study. J. Big Data 1: 5 (2014) - [c65]Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang:
Combining Heterogenous Social and Geographical Information for Event Recommendation. AAAI 2014: 145-151 - [c64]Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang:
Event Recommendation in Event-Based Social Networks. AAAI 2014: 3130-3131 - [c63]Cuiwen Xiong, Peng Zhang, Yan Li, Shipeng Zhang, Qingyun Liu, Jianlong Tan:
A Memory-Based Continuous Query Index for Stream Processing. BigData Congress 2014: 768-769 - [c62]Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo:
Improving Collaborative Recommendation via Location-based User-item Subgroup. ICCS 2014: 400-409 - [c61]Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo:
Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists. ICCS 2014: 422-431 - [c60]Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo:
Discovering Multiple Diffusion Source Nodes in Social Networks. ICCS 2014: 443-452 - [c59]Yanan Cao, Peng Zhang, Jing Guo, Li Guo:
Mining Large-scale Event Knowledge from Web Text. ICCS 2014: 478-487 - [c58]Zhicong Tan, Peng Zhang, Jianlong Tan, Li Guo:
A Multi-layer Event Detection Algorithm for Detecting Global and Local Hot Events in Social Networks. ICCS 2014: 2080-2089 - [c57]Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo:
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. ICDM 2014: 520-529 - [c56]Ji Ao, Peng Zhang, Yanan Cao:
Estimating the Locations of Emergency Events from Twitter Streams. ITQM 2014: 731-739 - [c55]Yao Lu, Peng Zhang, Yanan Cao, Yue Hu, Li Guo:
On the Frequency Distribution of Retweets. ITQM 2014: 747-753 - [c54]Peng Wang, Peng Zhang, Yanan Cao, Li Guo, Binxing Fang:
Forward Classification on Data Streams. PAKDD (1) 2014: 261-272 - [c53]Yan Li, Jinhua Xiong, Xinran Liu, Hong Zhang, Peng Zhang:
Folksonomy-Based In-Depth Annotation of Web Services. SOSE 2014: 243-249 - [c52]Jianwei Zhang, Li Guo, Tianyu Kang, Peng Zhang:
Cooperative Beamforming in Cognitive Radio Network with Two-Way Relay. VTC Spring 2014: 1-5 - [c51]Peng Zhang, Li Guo, Tianyu Kang, Jianwei Zhang:
Joint Optimization of Power and Filter-and-Forward Beamforming in Cognitive Networks with Frequency Selective Channels. VTC Spring 2014: 1-5 - [c50]Zhi Qiao, Peng Zhang, Jing He, Yanan Cao, Chuan Zhou, Li Guo:
Combining geographical information of users and content of items for accurate rating prediction. WWW (Companion Volume) 2014: 361-362 - [c49]Chuan Zhou, Peng Zhang, Jing Guo, Li Guo:
An upper bound based greedy algorithm for mining top-k influential nodes in social networks. WWW (Companion Volume) 2014: 421-422 - [c48]Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo:
Maximizing the long-term integral influence in social networks under the voter model. WWW (Companion Volume) 2014: 423-424 - 2013
- [j10]Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan:
User-Centric Organization of Search Results. IEEE Internet Comput. 17(3): 52-59 (2013) - [c47]Yunlong Ma, Peng Zhang, Yanan Cao, Li Guo:
Parallel auto-encoder for efficient outlier detection. IEEE BigData 2013: 15-17 - [c46]Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo:
Personalized influence maximization on social networks. CIKM 2013: 199-208 - [c45]Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi:
The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. ICCS 2013: 1720-1729 - [c44]Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo:
Item-Based Top-k Influential User Discovery in Social Networks. ICDM Workshops 2013: 780-787 - [c43]Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo:
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. ICDM 2013: 907-916 - [c42]Yanmin Shang, Peng Zhang, Yanan Cao, Li Guo:
Behavioral targeting with social regularization. ISI 2013: 233-238 - [c41]Jun Li, Peng Zhang:
Mining Explainable User Interests from Scalable User Behavior Data. ITQM 2013: 789-796 - [c40]Wenyu Zang, Peng Zhang, Xiao Wang, Jinqiao Shi, Li Guo:
Detecting Sybil Nodes in Anonymous Communication Systems. ITQM 2013: 861-869 - [c39]Zhi Qiao, Guangyan Huang, Jing He, Peng Zhang, Li Guo, Jie Cao, Yanchun Zhang:
Discovering Semantics from Multiple Correlated Time Series Stream. PAKDD (2) 2013: 509-520 - 2012
- [j9]Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo:
A framework for application-driven classification of data streams. Neurocomputing 92: 170-182 (2012) - [c38]Zhi Qiao, Jing He, Jie Cao, Guangyan Huang, Peng Zhang:
Multiple Time Series Anomaly Detection Based on Compression and Correlation Analysis: A Medical Surveillance Case Study. APWeb 2012: 294-305 - [c37]Jun Li, Peng Zhang, Yanan Cao, Ping Liu, Li Guo:
Efficient Behavior Targeting Using SVM Ensemble Indexing. ICDM 2012: 409-418 - [c36]Peng Wang, Peng Zhang, Li Guo:
Mining Multi-Label Data Streams Using Ensemble-Based Active Learning. SDM 2012: 1131-1140 - [c35]Jing Guo, Peng Zhang, Jianlong Tan, Li Guo:
Mining Hot Topics from Twitter Streams. ICCS 2012: 2008-2011 - 2011
- [j8]Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, Xindong Wu:
Robust ensemble learning for mining noisy data streams. Decis. Support Syst. 50(2): 469-479 (2011) - [j7]DongHong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi:
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model. Int. J. Data Warehous. Min. 7(3): 88-101 (2011) - [c34]Jing Guo, Peng Zhang, Jianlong Tan, Li Guo:
Mining frequent patterns across multiple data streams. CIKM 2011: 2325-2328 - [c33]Jun Li, Peng Zhang, Jianlong Tan, Ping Liu, Li Guo:
Continuous data stream query in the cloud. CIKM 2011: 2389-2392 - [c32]Jun Li, Wenyu Zang, Jianlong Tan, Peng Zhang:
Predictive Data Stream Filtering. Web Intelligence/IAT Workshops 2011: 237-240 - [c31]Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo:
Enabling Fast Lazy Learning for Data Streams. ICDM 2011: 932-941 - [c30]Jun Li, Peng Wang, Peng Zhang, Jianlong Tan:
Adaptive Shared-Filter Ordering for Efficient Multimedia Stream Monitoring. ICTAI 2011: 760-763 - [c29]Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo:
Enabling fast prediction for ensemble models on data streams. KDD 2011: 177-185 - 2010
- [j6]Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi:
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1607-1621 (2010) - [j5]Peng Zhang, Xingquan Zhu, Zhiwang Zhang, Yong Shi:
Multiple criteria programming models for VIP E-Mail behavior analysis. Web Intell. Agent Syst. 8(1): 69-78 (2010) - [c28]Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo:
SKIF: a data imputation framework for concept drifting data streams. CIKM 2010: 1869-1872 - [c27]Jinghua Yan, Xiao-chun Yun, Peng Zhang, Jianlong Tan, Li Guo:
A New Weighted Ensemble Model for Detecting DoS Attack Streams. Web Intelligence/IAT Workshops 2010: 227-230 - [c26]Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo:
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams. ICDM 2010: 1175-1180 - [c25]Zhi Qiao, Peng Zhang, Jing He, Jinghua Yan, Li Guo:
Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds. ICMLA 2010: 272-277 - [c24]Yuejin Zhang, Peng Zhang, Lingling Zhang, Yong Shi:
Knowledge extraction from multiple criteria linear programming classification approach. ICCS 2010: 2441-2448
2000 – 2009
- 2009
- [j4]Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang:
Regularized multiple criteria linear programs for classification. Sci. China Ser. F Inf. Sci. 52(10): 1812-1820 (2009) - [j3]Juliang Zhang, Yong Shi, Peng Zhang:
Several multi-criteria programming methods for classification. Comput. Oper. Res. 36(3): 823-836 (2009) - [c23]Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang:
A New Classification Method for PCA-Based Face Recognition. BIFE 2009: 445-449 - [c22]Lingling Zhang, Jun Li, Aihua Li, Peng Zhang, Guangli Nie, Yong Shi:
A New Research Field: Intelligent Knowledge Management. BIFE 2009: 450-454 - [c21]Peng Zhang, Lingling Zhang, Guangli Nie, Yuejin Zhang, Yong Shi:
Transfer Knowledge via Relational K-Means Method. BIFE 2009: 656-659 - [c20]Guoxun Wang, Guangli Nie, Peng Zhang, Yong Shi:
Personal Financial Market Segmentation Based on Clustering Ensembles. CSIE (3) 2009: 694-698 - [c19]Peng Zhang, Xingquan Zhu, Yong Shi:
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. ICCS (2) 2009: 524-533 - [c18]Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi:
Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. ICCS (2) 2009: 561-569 - [c17]Ying Wang, Peng Zhang, Guangli Nie, Yong Shi:
Multiple Criteria Quadratic Programming for Financial Distress Prediction of the Listed Manufacturing Companies. ICCS (2) 2009: 616-624 - [c16]Yuehua Zhang, Peng Zhang, Yong Shi:
Kernel Based Regularized Multiple Criteria Linear Programming Model. ICCS (2) 2009: 625-632 - [c15]Peng Zhang, Xingquan Zhu, Li Guo:
Mining Data Streams with Labeled and Unlabeled Training Examples. ICDM 2009: 627-636 - [c14]Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi:
A New Kernel-Based Classification Algorithm. ICDM 2009: 1094-1099 - [c13]Sung-Hyuk Park, Soon-Young Huh, Peng Zhang, Yong Shi:
A Study on Identifying Essential Hyperplanes for Constructing a Multiclass Classification Model. NCM 2009: 1798-1804 - [c12]Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu:
An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. PAKDD 2009: 1021-1029 - 2008
- [j2]Peng Zhang, Zhiwang Zhang, Aihua Li, Yong Shi:
Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset. Int. J. Softw. Informatics 2(2): 181-197 (2008) - [c11]Dongling Zhang, Yingjie Tian, Peng Zhang:
Kernel-Based Nonparametric Regression Method. Web Intelligence/IAT Workshops 2008: 410-413 - [c10]Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu:
Select Objective Functions for Multiple Criteria Programming Classification. Web Intelligence/IAT Workshops 2008: 420-423 - [c9]Lingling Zhang, Jie Wei, Anqiang Huang, Jun Li, Peng Zhang:
DEA-Based Comprehensive Evaluation of Intelligent Knowledge. Web Intelligence/IAT Workshops 2008: 432-435 - [c8]Meihong Zhu, Yong Shi, Aihua Li, Peng Zhang:
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles. Web Intelligence/IAT Workshops 2008: 447-450 - [c7]Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi:
Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. ICCS (2) 2008: 436-440 - [c6]Zhiwang Zhang, Yong Shi, Peng Zhang, Guangxia Gao:
A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification. ICCS (2) 2008: 476-485 - [c5]Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi:
Cleansing Noisy Data Streams. ICDM 2008: 1139-1144 - [c4]Peng Zhang, Xingquan Zhu, Yong Shi:
Categorizing and mining concept drifting data streams. KDD 2008: 812-820 - 2007
- [j1]Xingsen Li, Yong Shi, Jun Li, Peng Zhang:
Data Mining Consulting Improve Data Quality. Data Sci. J. 6: 658-666 (2007) - [c3]Peng Zhang, Juliang Zhang, Yong Shi:
A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis. International Conference on Computational Science (2) 2007: 499-502 - [c2]Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang:
A Regularized Multiple Criteria Linear Program for Classification. ICDM Workshops 2007: 253-258 - [c1]Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi:
Active Learning from Data Streams. ICDM 2007: 757-762
Coauthor Index
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