Yanchi Liu

According to our database, Yanchi Liu authored at least 120 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.

Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen

CoRR, 2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.

Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen

CoRR, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation.

Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., October, 2023

Quaternion-based graph convolution network for recommendation.

Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou

World Wide Web (WWW), September, 2023

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

Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong

IEEE Trans. Knowl. Data Eng., July, 2023

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

Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou

ACM Trans. Knowl. Discov. Data, July, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Scope.

Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao

CoRR, 2023

Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning.

Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu

CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.

Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng

CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

CoRR, 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.

Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao

CoRR, 2023

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

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

CoRR, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.

Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen

CoRR, 2023

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.

Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu

CoRR, 2023

Meta-optimized Contrastive Learning for Sequential Recommendation.

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation.

Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.

Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Incremental Causal Graph Learning for Online Root Cause Analysis.

Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sequential Recommendation with Probabilistic Logical Reasoning.

Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Personalized Federated Learning under Mixture of Distributions.

Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation.

Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.

Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.

Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.

Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

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

Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2022

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

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

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

Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation.

Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng

CoRR, 2022

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

Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems.

Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

Proceedings of the International Joint Conference on Neural Networks, 2022

Quaternion-Based Graph Contrastive Learning for Recommendation.

Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation.

Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.

Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2021

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

Jiejie Zhao, Bowen Du, Leilei Sun, Weifeng Lv, Yanchi Liu, Hui Xiong

Pattern Recognit., 2021

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

Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng

Neurocomputing, 2021

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

Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao

CoRR, 2021

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

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen

CoRR, 2021

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

Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou

CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.

Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang

CoRR, 2021

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

Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Unsupervised Concept Representation Learning for Length-Varying Text Similarity.

Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Variational Self-attention Network for Sequential Recommendation.

Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Considering Interaction Sequence of Historical Items for Conversational Recommender System.

Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

Knowledge-Aware Hypergraph Neural Network for Recommender Systems.

Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

Learning Disentangled User Representation Based on Controllable VAE for Recommendation.

Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

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

Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.

Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach.

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo

ACM Trans. Knowl. Discov. Data, 2020

Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation.

Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong

ACM Trans. Knowl. Discov. Data, 2020

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

Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He

Neural Networks, 2020

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

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong

CoRR, 2020

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

Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

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

Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Collaborative Self-Attention Network for Session-based Recommendation.

Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.

Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Hierarchical Variational Attention for Sequential Recommendation.

Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao

Proceedings of the Database Systems for Advanced Applications, 2020

Cross-Domain Recommendation with Adversarial Examples.

Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2020

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

Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang

Proceedings of the Database Systems for Advanced Applications, 2020

Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation.

Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao

Proceedings of the Database Systems for Advanced Applications, 2020

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

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong

World Wide Web, 2019

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

Yanchi Liu, Xue Wang, Wei You

IEEE Trans. Smart Grid, 2019

Bayesian dual neural networks for recommendation.

Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin

Frontiers Comput. Sci., 2019

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

Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong

CoRR, 2019

Exploiting Aesthetic Features in Visual Contents for Movie Recommendation.

Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui

IEEE Access, 2019

Recurrent Convolutional Neural Network for Sequential Recommendation.

Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong

Proceedings of the World Wide Web Conference, 2019

Feature-level Deeper Self-Attention Network for Sequential Recommendation.

Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Contextualized Self-Attention Network for Session-based Recommendation.

Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AdaCML: Adaptive Collaborative Metric Learning for Recommendation.

Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui

Proceedings of the Database Systems for Advanced Applications, 2019

Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation.

Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui

Proceedings of the Database Systems for Advanced Applications, 2019

Attention and Convolution Enhanced Memory Network for Sequential Recommendation.

Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui

Proceedings of the Database Systems for Advanced Applications, 2019

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

Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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

Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Personalized Air Travel Prediction: A Multi-factor Perspective.

Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang

ACM Trans. Intell. Syst. Technol., 2018

A Generative Model Approach for Geo-Social Group Recommendation.

Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng

J. Comput. Sci. Technol., 2018

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

Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng

CoRR, 2018

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation.

Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui

IEEE Access, 2018

Sequential Recommender System based on Hierarchical Attention Networks.

Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Yanchi Liu, Tan Yan, Haifeng Chen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Intelligent bus routing with heterogeneous human mobility patterns.

Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu

Knowl. Inf. Syst., 2017

Utilizing advances in correlation analysis for community structure detection.

Lian Duan, Yanchi Liu, W. Nick Street, Haibing Lu

Expert Syst. Appl., 2017

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

Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion.

Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Point-of-Interest Demand Modeling with Human Mobility Patterns.

Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Exploiting Hierarchical Structures for POI Recommendation.

Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

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

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

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

Youda Liu, Xue Wang, Yanchi Liu, Sujin Cui

Sensors, 2016

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

Yanchi Liu, Xue Wang, Youda Liu, Sujin Cui

Sensors, 2016

Unified Point-of-Interest Recommendation with Temporal Interval Assessment.

Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

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

Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Exploiting Human Mobility Patterns for Gas Station Site Selection.

Hongting Niu, Junming Liu, Yanjie Fu, Yanchi Liu, Bo Lang

Proceedings of the Database Systems for Advanced Applications, 2016

2015

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

Youda Liu, Xue Wang, Yanchi Liu

Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

2014

Selecting the Right Correlation Measure for Binary Data.

Lian Duan, W. Nick Street, Yanchi Liu, Songhua Xu, Brook Wu

ACM Trans. Knowl. Discov. Data, 2014

Community detection in graphs through correlation.

Lian Duan, William Nick Street, Yanchi Liu, Haibing Lu

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing.

Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

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

Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Diagnosing New York city's noises with ubiquitous data.

Yu Zheng, Tong Liu, Yilun Wang, Yanmin Zhu, Yanchi Liu, Eric Chang

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

User Profiling for Query Refinement.

Chao Xu, Zhu Zhu, Yanchi Liu, Yi-Fang Wu

Proceedings of the 20th Americas Conference on Information Systems, 2014

2013

Understanding and Enhancement of Internal Clustering Validation Measures.

Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, Sen Wu

IEEE Trans. Cybern., 2013

Speeding up correlation search for binary data.

Lian Duan, W. Nick Street, Yanchi Liu

Pattern Recognit. Lett., 2013

2012

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

Zhongmou Li, Hui Xiong, Yanchi Liu

Data Min. Knowl. Discov., 2012

2011

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

Xiaodong Feng, Sen Wu, Yanchi Liu

Proceedings of the Knowledge Science, Engineering and Management, 2011

Urban computing with taxicabs.

Yu Zheng, Yanchi Liu, Jing Yuan, Xing Xie

Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

2010

Detecting Blackholes and Volcanoes in Directed Networks

Zhongmou Li, Hui Xiong, Yanchi Liu

CoRR, 2010

Understanding of Internal Clustering Validation Measures.

Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu

Proceedings of the ICDM 2010, 2010

Detecting Blackhole and Volcano Patterns in Directed Networks.

Zhongmou Li, Hui Xiong, Yanchi Liu, Aoying Zhou

Proceedings of the ICDM 2010, 2010

2008

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

Hongwei Guo, Yanchi Liu, Helan Liang, Xuedong Gao

Proceedings of the Fourth International Conference on Natural Computation, 2008