Yanchi Liu

发表

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.

Author ' s personal copy Speeding up correlation search for binary data

W. N. Street, Yanchi Liu, Lian Duan, 2013 .

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation

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

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences

Wei Cheng, Yanchi Liu, Hui Xiong, 2022, KDD.

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

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

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

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

Quaternion-Based Graph Contrastive Learning for Recommendation

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

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.

Bayesian dual neural networks for recommendation

Yanchi Liu, Qing He, Jia He, 2019, Frontiers of Computer Science.

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).

Understanding and Enhancement of Internal Clustering Validation Measures

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

Utilizing advances in correlation analysis for community structure detection

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

Community detection in graphs through correlation

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

Sequential Recommender System based on Hierarchical Attention Networks

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

Graph Contextualized Self-Attention Network for Session-based Recommendation

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

Understanding of Internal Clustering Validation Measures

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

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.

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

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

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

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

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.

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion

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

Detecting Blackhole and Volcano Patterns in Directed Networks

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

Detecting Blackholes and Volcanoes in Directed Networks pdf

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

Personalized Federated Learning under Mixture of Distributions

Quanquan Gu, Wei Cheng, Yanchi Liu, 2023, ICML.

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

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

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.

Intelligent bus routing with heterogeneous human mobility patterns

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

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

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

Unified Point-of-Interest Recommendation with Temporal Interval Assessment

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

Urban computing with taxicabs

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

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation

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

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

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

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models

Quanquan Gu, Carl Yang, Wei Cheng, 2023, ArXiv.

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? pdf

Bo Zong, Jingchao Ni, Wei Cheng, 2021, ArXiv.

Bayesian dual neural networks for recommendation

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

Selecting the Right Correlation Measure for Binary Data

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

Speeding up correlation search for binary data

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

Point-of-Interest Demand Modeling with Human Mobility Patterns

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

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.

Inferring Lifetime Status of Point-of-Interest

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

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

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

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.

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

Hui Xiong, Jian Wu, Tingting Liang, 2018, World Wide Web.

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

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

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis

Yanjie Fu, Yanchi Liu, Haifeng Chen, 2023, ArXiv.

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.

Diagnosing New York city's noises with ubiquitous data

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

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Carl Yang, Wei Cheng, Yanchi Liu, 2023, 2305.18703.

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models

Quanquan Gu, Carl Yang, Wei Cheng, 2023, ArXiv.

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Wei Cheng, Yanchi Liu, Wenchao Yu, 2023, KDD.

Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning

Yanjie Fu, Yanchi Liu, Hui Xiong, 2023, IEEE Transactions on Knowledge and Data Engineering.

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

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

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

Fuzhen Zhuang, Zuohui Fu, Yanchi Liu, 2020, ArXiv.

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

Fuzhen Zhuang, Yanchi Liu, Hui Xiong, 2020, 2009.02835.

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.

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

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

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization

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

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

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

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

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

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

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

Inductive and Unsupervised Representation Learning on Graph Structured Objects

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

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

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

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).

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

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

Incremental Causal Graph Learning for Online Root Cause Analysis

Yanjie Fu, Yanchi Liu, Zhengzhang Chen, 2023, KDD.

Collaborative Self-Attention Network for Session-based Recommendation

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

Unsupervised Concept Representation Learning for Length-Varying Text Similarity

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

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.

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

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

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

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

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Carl Yang, Wei Cheng, Yanchi Liu, 2023, 2305.18703.

Quaternion-based graph convolution network for recommendation

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

Time Series Contrastive Learning with Information-Aware Augmentations

Wei Cheng, Yanchi Liu, Wenchao Yu, 2023, AAAI.

Unsupervised Document Embedding via Contrastive Augmentation pdf

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

Exploiting Human Mobility Patterns for Gas Station Site Selection

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

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation

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

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Carl Yang, Wei Cheng, Yanchi Liu, 2023, 2305.18703.

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Wei Cheng, Yanchi Liu, Wenchao Yu, 2023, KDD.

Understanding and Enhancement of Internal Clustering Validation Measures

Hui Xiong, Yanchi Liu, Zhongmou Li, 2013, IEEE Transactions on Cybernetics.

Exploiting Aesthetic Features in Visual Contents for Movie Recommendation

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

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.

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

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

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

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

Meta-optimized Contrastive Learning for Sequential Recommendation

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

Cross-Domain Recommendation with Adversarial Examples

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

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

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

Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation

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

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

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