Yanchi Liu

发表

Time-efficient pulse-coupled oscillators based trustworthy synchronization for distributed harmonic sensing

Youda Liu, Xue Wang, Yanchi Liu, 2016, CCC 2016.

Attention and Convolution Enhanced Memory Network for Sequential Recommendation

Jian Liu, Yanchi Liu, Pengpeng Zhao, 2019, DASFAA.

A Generative Model Approach for Geo-Social Group Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2018, Journal of Computer Science and Technology.

Exploiting Aesthetic Features in Visual Contents for Movie Recommendation

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

Hierarchical Variational Attention for Sequential Recommendation

Jing Zhao, Yanchi Liu, Pengpeng Zhao, 2020, DASFAA.

Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering

Yanchi Liu, Xiaodong Feng, Sen Wu, 2011, KSEM.

Unified Point-of-Interest Recommendation with Temporal Interval Assessment

Hui Xiong, Yanchi Liu, Bin Liu, 2016, KDD.

Diagnosing New York city's noises with ubiquitous data

Yanchi Liu, Yilun Wang, Yu Zheng, 2014, UbiComp.

Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing

Hui Xiong, Nicholas Jing Yuan, Junjie Wu, 2014, 2014 IEEE International Conference on Data Mining.

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

Hui Xiong, Yanchi Liu, Yanjie Fu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Detecting Blackhole and Volcano Patterns in Directed Networks

Hui Xiong, Aoying Zhou, Yanchi Liu, 2010, 2010 IEEE International Conference on Data Mining.

T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting pdf

Bo Zong, Yanchi Liu, Zhengzhang Chen, 2020, ArXiv.

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems pdf

Yanchi Liu, Yanchao Zhao, Fuzhen Zhuang, 2020, IEEE Transactions on Knowledge and Data Engineering.

User Profiling for Query Refinement

Yanchi Liu, Chao Xu, Zhu Zhu, 2014, AMCIS.

Mining blackhole and volcano patterns in directed graphs: a general approach

Hui Xiong, Yanchi Liu, Zhongmou Li, 2012, Data Mining and Knowledge Discovery.

Feature-level Deeper Self-Attention Network for Sequential Recommendation

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

AdaCML: Adaptive Collaborative Metric Learning for Recommendation

Tingting Zhang, Yanchi Liu, Pengpeng Zhao, 2019, DASFAA.

Detecting Blackholes and Volcanoes in Directed Networks pdf

Hui Xiong, Yanchi Liu, Zhongmou Li, 2010, ArXiv.

Intelligent bus routing with heterogeneous human mobility patterns

Hui Xiong, Nicholas Jing Yuan, Junjie Wu, 2017, Knowledge and Information Systems.

Subsequence Partition of Time Series Based on Different Width Time Window

Yanchi Liu, Hongwei Guo, Jianliang Zhang, 2010, 2010 International Conference on e-Education, e-Business, e-Management and e-Learning.

Utilizing advances in correlation analysis for community structure detection

Yanchi Liu, Haibing Lu, William Nick Street, 2017, Expert Syst. Appl..

Admittance-based load signature construction for non-intrusive appliance load monitoring

Youda Liu, Yanchi Liu, Xue Wang, 2018 .

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation

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

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

Xiaofang Zhou, Yanchi Liu, Pengpeng Zhao, 2020 .

Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors

Hui Xiong, Jing Yuan, Yanchi Liu, 2014, 2014 IEEE International Conference on Data Mining.

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification

Fuzhen Zhuang, Qing He, Yanchi Liu, 2019, AAAI.

User Profiling for Query Refinement Submission Type: Completed Research Paper

Yanchi Liu, Chao Xu, Mingzhu Zhu, 2014 .

Forecasting the rise and fall of volatile point-of-interests

Hui Xiong, Yanchi Liu, Bin Guo, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Graph Contextualized Self-Attention Network for Session-based Recommendation

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

Establishment of a Wideband Radar Scattering Center Model of a Plasma Sheath

Yanchi Liu, Liqiang Zhao, Bowen Bai, 2019, IEEE Access.

Collaborative Self-Attention Network for Session-based Recommendation

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

Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System

Xue Wang, Youda Liu, Yanchi Liu, 2016, Sensors.

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

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

Deep multi-task learning with relational attention for business success prediction

Yanchi Liu, Weifeng Lv, Hui Xiong, 2021, Pattern Recognit..

Speeding up correlation search for binary data

Yanchi Liu, William Nick Street, Lian Duan, 2013, Pattern Recognit. Lett..

Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation

Yanchi Liu, Shuai Ma, Jingbo Zhou, 2020, ACM Trans. Knowl. Discov. Data.

Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation

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

Urban computing with taxicabs

Xing Xie, Jing Yuan, Yanchi Liu, 2011, UbiComp '11.

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction pdf

Yanchi Liu, Jingbo Zhou, Hao Liu, 2019, AAAI.

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

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

Analysis of blast furnace cross thermometric based on spatial data mining

Yanchi Liu, Xuedong Gao, Hongwei Guo, 2009, 2009 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning

Yanchi Liu, Pengyang Wang, Junming Liu, 2019, CIKM.

Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics

Yanchi Liu, Haifeng Chen, Tan Yan, 2018, IJCAI.

Inferring Lifetime Status of Point-of-Interest

Bin Guo, Zhiwen Yu, Yanchi Liu, 2020, ACM Trans. Knowl. Discov. Data.

Selecting the Right Correlation Measure for Binary Data

Yanchi Liu, William Nick Street, Lian Duan, 2014, TKDD.

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching

Hao Liu, Yanchi Liu, Fei Yi, 2020, SIGIR.

Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network

Yanchi Liu, Jingbo Zhou, Tong Xu, 2020, IEEE Transactions on Knowledge and Data Engineering.

Time-aware metric embedding with asymmetric projection for successive POI recommendation

Hui Xiong, Xiao Zhang, Guandong Xu, 2018, World Wide Web.

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.

Recurrent Convolutional Neural Network for Sequential Recommendation

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

Exploiting Hierarchical Structures for POI Recommendation

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

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Bo Zong, Yanchi Liu, Gerard de Melo, 2019, AAAI.

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce pdf

Yanchi Liu, Fuzhen Zhuang, Hui Xiong, 2020, ArXiv.

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion

Hui Xiong, Qiao Li, Yanchi Liu, 2017, KDD.

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

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

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

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

Heterogeneous mobile data analytics for smart living

Yanchi Liu, 2019 .

Personalized Air Travel Prediction

Hui Xiong, Bin Liu, Jie Liu, 2018, ACM Trans. Intell. Syst. Technol..

Sequential Recommender System based on Hierarchical Attention Networks

Hui Xiong, Xing Xie, Guandong Xu, 2018, IJCAI.

Bayesian dual neural networks for recommendation

Fuzhen Zhuang, Yanchi Liu, Jia He, 2019, Frontiers of Computer Science.

Methods for Sensing Urban Noises

Yanchi Liu, Tong Liu, Yu Zheng, 2014 .

Community detection in graphs through correlation

Yanchi Liu, Haibing Lu, William Nick Street, 2014, KDD.

Exploiting Human Mobility Patterns for Gas Station Site Selection

Yanchi Liu, Yanjie Fu, Bo Lang, 2016, DASFAA.

Non-Intrusive Load Monitoring by Voltage–Current Trajectory Enabled Transfer Learning

Xue Wang, Yanchi Liu, Wei You, 2019, IEEE Transactions on Smart Grid.

Data-Aware Retrodiction for Asynchronous Harmonic Measurement in a Cyber-Physical Energy System

Xue Wang, Youda Liu, Yanchi Liu, 2016, Sensors.

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

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

Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2020, DASFAA.

An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising

Yanchi Liu, Hongwei Guo, Xuedong Gao, 2008, 2008 Fourth International Conference on Natural Computation.

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series

Bo Zong, Yanchi Liu, Wenchao Yu, 2020, AAAI.

Application of model reduction technique and structural subsection technique on optimal sensor placement of truss structures

Chenguang Huang, Yanchi Liu, Xi Wang, 2015 .

Understanding of Internal Clustering Validation Measures

Hui Xiong, Junjie Wu, Yanchi Liu, 2010, 2010 IEEE International Conference on Data Mining.

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

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

Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction

Yanchi Liu, Pengpeng Zhao, Junhua Fang, 2020, DASFAA.

Point-of-Interest Demand Modeling with Human Mobility Patterns

Yanchi Liu, Xinjiang Lu, Chuanren Liu, 2017, KDD.

Understanding and Enhancement of Internal Clustering Validation Measures

Hui Xiong, Junjie Wu, Yanchi Liu, 2013, IEEE Transactions on Cybernetics.

Asynchronous harmonic analysis based on out-of-sequence measurement for large-scale residential power network

Youda Liu, Yanchi Liu, Xue Wang, 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

Inductive and Unsupervised Representation Learning on Graph Structured Objects

Bo Zong, Yanchi Liu, Haifeng Chen, 2020, ICLR.

Cross-Domain Recommendation with Adversarial Examples

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

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation

Yang Yang, Jian Cao, Yanchi Liu, 2020, WSDM.

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph pdf

Bo Zong, Yanchi Liu, Jinho D. Choi, 2021, AAAI.

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

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

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment

Fuzhen Zhuang, Yanchi Liu, Zixuan Yuan, 2021, KDD.

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment pdf

Fuzhen Zhuang, Yanchi Liu, Zixuan Yuan, 2021, ArXiv.

Learning Disentangled User Representation Based on Controllable VAE for Recommendation

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2021, DASFAA.

Variational Self-attention Network for Sequential Recommendation

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

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series pdf

Bo Zong, Yanchi Liu, Yinjun Wu, 2021, AAAI.

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching

Yanchi Liu, Renjun Hu, Zixuan Yuan, 2021, WWW.

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization

Bo Zong, Yanchi Liu, Jingchao Ni, 2021, CIKM.

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

Yanchi Liu, Jiajie Xu, Victor S. Sheng, 2021, ArXiv.

Unsupervised Document Embedding via Contrastive Augmentation pdf

Wei Cheng, Bo Zong, Yanchi Liu, 2021, ArXiv.

Quaternion-Based Graph Convolution Network for Recommendation pdf

Yanchi Liu, Victor S. Sheng, Lei Zhao, 2021, ArXiv.

Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach

Hui Xiong, Yanchi Liu, Yanjie Fu, 2021, IEEE Transactions on Knowledge and Data Engineering.

Knowledge-Aware Hypergraph Neural Network for Recommender Systems

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.

Considering Interaction Sequence of Historical Items for Conversational Recommender System

Yanchi Liu, Pengpeng Zhao, Victor S. Sheng, 2021, DASFAA.

Unsupervised Concept Representation Learning for Length-Varying Text Similarity

Wei Cheng, Bo Zong, Yanchi Liu, 2021, NAACL.