Pengpeng Zhao

发表

A dynamic fuzzy description logic

Zhiming Cui, Wei-Luen Fang, Xuefeng Xian, 2008, Wuhan University Journal of Natural Sciences.

Path-Based Academic Paper Recommendation

Wei Chen, Pengpeng Zhao, Zhixu Li, 2020, WISE.

Immune Centroids OverSampling Method for Multi-Class Classification

V. Sheng, Zhiming Cui, Jian Wu, 2016 .

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation

V. Sheng, Guanfeng Liu, Lei Zhao, 2022, ArXiv.

Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction

The University of Queensland, Hongzhi Yin, Pengpeng Zhao, 2022, ArXiv.

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

Victor S. Sheng, V. Sheng, Guanfeng Liu, 2022, CIKM.

Quaternion-Based Graph Contrastive Learning for Recommendation

V. Sheng, Guanfeng Liu, Yanchi Liu, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation

Jiajie Xu, Kai Zheng, Pingfu Chao, 2021, IJCAI.

Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2017, IEEE Transactions on Knowledge and Data Engineering.

A feature based method for trajectory dataset segmentation and profiling

Lei Zhao, Wei Jiang, Zhixu Li, 2016, World Wide Web.

SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud

Lei Zhao, Hongzhi Yin, Zhixu Li, 2020, World Wide Web.

A Generative Model Approach for Geo-Social Group Recommendation

V. Sheng, Lei Zhao, Zhixu Li, 2018, Journal of Computer Science and Technology.

Exploiting Hierarchical Structures for POI Recommendation

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Deep Web Entity Identification Method with Unique Constraint

Pengpeng Zhao, Victor S. Sheng, Zhaobin Liu, 2018 .

A Multiple-Phase Stratification-Based Hierarchical Clustering Over a Deep Web Data Source

Xu Zhou, Pengpeng Zhao, Zhiming Cui, 2014 .

Distributed and parallel processing for real-time and dynamic spatio-temporal graph

Pengpeng Zhao, Jiajie Xu, Junhua Fang, 2019, World Wide Web.

Immune Centroids Oversampling Method for Binary Classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, Comput. Intell. Neurosci..

Multi-Label Active Learning Algorithms for Image Classification

Jian Wu, Pengpeng Zhao, Victor S. Sheng, 2020, ACM Comput. Surv..

Active learning with label correlation exploration for multi-label image classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2017, IET Comput. Vis..

Graph Contextualized Self-Attention Network for Session-based Recommendation

Yanchi Liu, Pengpeng Zhao, Jiajie Xu, 2019, IJCAI.

Utility Maximization Model for Deep Web Source Selection and Integration

Pengpeng Zhao, Zhiming Cui, Guangming Zhang, 2010, J. Comput..

Sequential Recommendation with Diffusion Models

Hanwen Du, Pengpeng Zhao, Xiaofang Zhou, 2023, 2304.04541.

Variational Self-attention Network for Sequential Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Collaborative Self-Attention Network for Session-based Recommendation

Deqing Wang, Yanchi Liu, Pengpeng Zhao, 2020, IJCAI.

Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks

Lei Zhao, Zhixu Li, Pengpeng Zhao, 2022, DASFAA.

Graph Factorization Machines for Cross-Domain Recommendation pdf

Xiangliang Zhang, Fuzhen Zhuang, Qing He, 2020, ArXiv.

Long- and short-term self-attention network for sequential recommendation

Yanchi Liu, Victor S. Sheng, Deqing Wang, 2021, Neurocomputing.

Feature-level Deeper Self-Attention Network for Sequential Recommendation

Deqing Wang, Tingting Zhang, Yanchi Liu, 2019, IJCAI.

LC-RNN: A Deep Learning Model for Traffic Speed Prediction

Pengpeng Zhao, Jiajie Xu, Kai Zheng, 2018, IJCAI.

Outlier Trajectory Detection: A Trajectory Analytics Based Approach

Pengpeng Zhao, Jiajie Xu, Guanfeng Liu, 2017, DASFAA.

RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, WAIM.

When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations

Junhua Fang, Lei Zhao, An Liu, 2021, CIKM.

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

Fuzhen Zhuang, Yanchi Liu, Jiajie Xu, 2019, AAAI.

Multi-label active learning for image classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation

Yanchi Liu, Pengpeng Zhao, Jiajie Xu, 2018, IEEE Access.

Predicting Destinations by a Deep Learning based Approach

Jiajie Xu, Chengfei Liu, Lei Zhao, 2021, IEEE Transactions on Knowledge and Data Engineering.

Destination Prediction A Deep Learning based Approach

Jing Zhao, Lei Zhao, Chengfei Liu, 2019 .

An Improved Similarity Measure Method in Collaborative Filtering Recommendation Algorithm

Pengpeng Zhao, Zhiming Cui, Xuehuan Li, 2013, 2013 International Conference on Cloud Computing and Big Data.

Enriching Context Information for Entity Linking with Web Data

Jie Shen, An Liu, Lei Zhao, 2020, Journal of Computer Science and Technology.

Anatomy Ontology Matching Using Markov Logic Networks

Jian Wu, Pengpeng Zhao, Zhiming Cui, 2016, Scientifica.

Publishing Graph Node Strength Histogram with Edge Differential Privacy

Wei Chen, Pengpeng Zhao, Hongzhi Yin, 2018, DASFAA.

Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation pdf

Yanchi Liu, Pengpeng Zhao, Jiajie Xu, 2018, ArXiv.

Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2017, IEEE Transactions on Knowledge and Data Engineering.

Active Learning for Duplicate Record Identification in Deep Web

Pengpeng Zhao, Zhiming Cui, Jie Xin, 2014 .

A Comparative Study of SIFT and its Variants

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2013 .

Unsupervised Entity Alignment Using Attribute Triples and Relation Triples

Zhigang Chen, Min Zhang, Pengpeng Zhao, 2019, DASFAA.

Distant Supervised Why-Question Generation with Passage Self-Matching Attention

Pengpeng Zhao, Jiajie Xu, An Liu, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation

Victor S. Sheng, Guanfeng Liu, Yanchi Liu, 2023, SIGIR.

Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation

Victor S. Sheng, Victor S. Sheng, Guanfeng Liu, 2023, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Recurrent Convolutional Neural Network for Sequential Recommendation

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2019, WWW.

Interaction Graph Neural Network for News Recommendation

Pengpeng Zhao, Junhua Fang, Victor S. Sheng, 2019, WISE.

On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach

Feng Zhu, Jing Zhao, Pengpeng Zhao, 2018, CIKM.

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation pdf

Hui Xiong, Yanchi Liu, Pengpeng Zhao, 2019, ArXiv.

Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation

Pengpeng Zhao, Zhiming Cui, Qianqian Wu, 2020, IEEE Access.

S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search

Pengpeng Zhao, Jiajie Xu, Junhua Fang, 2019, GeoInformatica.

Collective spatial keyword search on activity trajectories

Kai Zheng, Pengpeng Zhao, Nickolas J. G. Falkner, 2019, GeoInformatica.

SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment

Pengpeng Zhao, An Liu, Zhixu Li, 2020, DASFAA.

Adaptive Low-Rank Multi-Label Active Learning for Image Classification

Hua Li, Pengpeng Zhao, Victor S. Sheng, 2017, ACM Multimedia.

Multi-Label Active Learning with Chi-Square Statistics for Image Classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, ICMR.

Multi-label active learning with label correlation for image classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Scalable and Adaptive Joins for Trajectory Data in Distributed Stream System

Pengpeng Zhao, Junhua Fang, An Liu, 2019, Journal of Computer Science and Technology.

Multi-dimensional Graph Neural Network for Sequential Recommendation

V. Sheng, Guanfeng Liu, Lei Zhao, 2023, Pattern Recognition.

Efficient Query Processing with Mutual Privacy Protection for Location-Based Services

Pengpeng Zhao, Kai Zheng, Guanfeng Liu, 2016, DASFAA.

Collaborative Self-Attention Network for Session-based Recommendation

V. Sheng, Fuzhen Zhuang, Yanchi Liu, 2020, IJCAI.

Tell Me Where to Go Next: Improving POI Recommendation via Conversation

Fuzhen Zhuang, Yanchi Liu, Pengpeng Zhao, 2021, DASFAA.

MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation

Yanchi Liu, Victor S. Sheng, Xuefeng Xian, 2021, WISE.

JS-STDGN: A Spatial-Temporal Dynamic Graph Network Using JS-Graph for Traffic Prediction

Lei Zhao, P. Li, P. Chao, 2022, DASFAA.

Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation

V. Sheng, Zhiming Cui, Xuefeng Xian, 2022, WISE.

Semantic-aware top-k spatial keyword queries

Pengpeng Zhao, Jiajie Xu, Kai Zheng, 2018, World Wide Web.

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation

Jian Liu, Xiaofang Zhou, Yanchi Liu, 2020, WWW.

A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks

Feng Zhu, Lei Li, Pengpeng Zhao, 2015, 2015 IEEE International Conference on Web Services.

An Active Learning Approach with Uncertainty, Representativeness, and Diversity

Jian Wu, Pengpeng Zhao, Zhiming Cui, 2014, TheScientificWorldJournal.

Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2017, IEEE Transactions on Multimedia.

Active transfer learning of matching query results across multiple sources

Zhiming Cui, Pengpeng Zhao, Tianxu He, 2015, Frontiers of Computer Science.

Efficient Selection and Integration of Hidden Web Database

Pengpeng Zhao, Zhiming Cui, Jie Xin, 2010, J. Comput..

Data Source Selection for Large-Scale Deep Web Data Integration

Pengpeng Zhao, Zhiming Cui, Wei Fang, 2009, 2009 Second Pacific-Asia Conference on Web Mining and Web-based Application.

Sources Selection Methodology for Hidden Web Data Integration

Pengpeng Zhao, Xuefeng Xian, Yuanfeng Yang, 2009 .

Quaternion-based graph convolution network for recommendation

Victor S. Sheng, V. Sheng, Guanfeng Liu, 2021, World Wide Web.

Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery

Guanfeng Liu, An Liu, Pengpeng Zhao, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Multiple Interaction Attention Model for Open-World Knowledge Graph Completion

Pengpeng Zhao, Jiajie Xu, Junhua Fang, 2020, WISE.

MoviNet: A novel network for cross-modal map extraction by vision transformer and CNN

Lei Zhao, Jiajie Xu, P. Chao, 2023, Knowl. Based Syst..

Conats: A Novel Framework for Cross-Modal Map Extraction

Jiajie Xu, P. Chao, Pengpeng Zhao, 2022, WISE.

Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query

Lei Zhao, Jiajie Xu, Zhicheng Pan, 2022, International Conference on Information and Knowledge Management.

Sequential Recommendation with Diffusion Models

Hanwen Du, Pengpeng Zhao, Xiaofang Zhou, 2023, ArXiv.

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation

Victor S. Sheng, Guanfeng Liu, Lei Zhao, 2023, SIGIR.

Stratification-Based Outlier Detection over the Deep Web

Pengpeng Zhao, Victor S. Sheng, Zhiming Cui, 2016, Comput. Intell. Neurosci..

Semi-supervised Based Training Set Construction for Outlier Detection

Pengpeng Zhao, Zhiming Cui, Yuanliu Liu, 2013, 2013 International Conference on Cloud Computing and Big Data.

Immune Centroids Oversampling Method for Binary Classification

V. Sheng, Zhiming Cui, Jian Wu, 2015, Comput. Intell. Neurosci..

Immune Centroids Over-Sampling Method for Multi-Class Classification

Yufeng Yao, Pengpeng Zhao, Victor S. Sheng, 2015, PAKDD.

Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation

Jiajie Xu, Jianxin Li, Minrui Xu, 2023, IEEE Transactions on Knowledge and Data Engineering.

Ontology-Based Deep Web Data Sources Selection

Pengpeng Zhao, Zhiming Cui, Wei Fang, 2008, HAIS.

Efficient sampling methods for characterizing POIs on maps based on road networks

Pengpeng Zhao, Jiajie Xu, Victor S. Sheng, 2018, Frontiers of Computer Science.

Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment

Xiangliang Zhang, An Liu, Zhixu Li, 2020, SEMWEB.

Exploiting Aesthetic Features in Visual Contents for Movie Recommendation

Yanchi Liu, Pengpeng Zhao, Junhua Fang, 2019, IEEE Access.

Unified User and Item Representation Learning for Joint Recommendation in Social Network

Zhigang Chen, Pengpeng Zhao, An Liu, 2018, WISE.

Pre-Filling Collaborative Filtering Algorithm Based on Matrix Factorization

Zhiming Cui, Peng Peng Zhao, Jian Wu, 2013 .

Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification

Yanchi Liu, Qing He, Fuzhen Zhuang, 2020, Neural Networks.

Knowledge Graph Attention Network Enhanced Sequential Recommendation

Pengpeng Zhao, Junhua Fang, Victor S. Sheng, 2020, APWeb/WAIM.

Meta-optimized Contrastive Learning for Sequential Recommendation

Guanfeng Liu, Yanchi Liu, Pengpeng Zhao, 2023, SIGIR.

ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation

Wei Chen, Ying Li, Lei Zhao, 2020, Journal of Computer Science and Technology.

Cross-Domain Recommendation with Adversarial Examples

Haoran Yan, Deqing Wang, Yanchi Liu, 2020, DASFAA.

Efficient Trip Planning for Maximizing User Satisfaction

Pengpeng Zhao, Jiajie Xu, Chengfei Liu, 2015, DASFAA.

On prediction of traffic flows in smart cities: a multitask deep learning based approach

Pengpeng Zhao, Jiajie Xu, Rui Zhou, 2021, World Wide Web.

Real-Time Trajectory Similarity Processing Using Longest Common Subsequence

Junhua Fang, Lei Zhao, Pengpeng Zhao, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation pdf

Yanchi Liu, Jiajie Xu, Victor S. Sheng, 2021, ACM Trans. Knowl. Discov. Data.