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2020 – today
- 2023
[j26]Yunyi Li
, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023)- [i29]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR abs/2303.11911 (2023) - [i28]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i27]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR abs/2304.09184 (2023) - [i26]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR abs/2304.11383 (2023) - [i25]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i24]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. CoRR abs/2305.01068 (2023) - [i23]Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. CoRR abs/2305.03827 (2023) - [i22]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - [i21]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR abs/2305.10638 (2023) - 2022
- [j25]Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE Trans. Knowl. Data Eng. 34(2): 640-652 (2022) - [j24]Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2512-2524 (2022) - [j23]Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong:
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. IEEE Trans. Knowl. Data Eng. 34(8): 3984-3996 (2022) - [j22]Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong:
Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach. IEEE Trans. Knowl. Data Eng. 34(12): 5681-5692 (2022) - [c59]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI 2022: 11538-11546 - [c58]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 - [c57]Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN 2022: 1-8 - [c56]Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN 2022: 1-8 - [c55]Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong:
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD 2022: 4541-4550 - [i20]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR abs/2201.00014 (2022) - [i19]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - [i18]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR abs/2208.03895 (2022) - 2021
- [j21]Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Long- and short-term self-attention network for sequential recommendation. Neurocomputing 423: 580-589 (2021) - [j20]Jiejie Zhao, Bowen Du, Leilei Sun, Weifeng Lv, Yanchi Liu, Hui Xiong:
Deep multi-task learning with relational attention for business success prediction. Pattern Recognit. 110: 107469 (2021) - [j19]Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou:
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation. IEEE Trans. Knowl. Data Eng. 33(4): 1708-1721 (2021) - [c54]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI 2021: 651-659 - [c53]Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM 2021: 1366-1375 - [c52]Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) 2021: 115-131 - [c51]Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) 2021: 132-147 - [c50]Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) 2021: 179-194 - [c49]Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) 2021: 211-227 - [c48]Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Variational Self-attention Network for Sequential Recommendation. ICDE 2021: 1559-1570 - [c47]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD 2021: 2145-2153 - [c46]Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen:
Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT 2021: 5611-5620 - [c45]Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng:
MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. WISE (2) 2021: 193-208 - [c44]Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong:
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. WWW 2021: 1586-1597 - [i17]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR abs/2103.02164 (2021) - [i16]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i15]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-Based Graph Convolution Network for Recommendation. CoRR abs/2111.10536 (2021) - [i14]Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou:
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR abs/2111.10539 (2021) - [i13]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR abs/2112.00503 (2021) - [i12]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR abs/2112.03024 (2021) - [i11]Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao:
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR abs/2112.12356 (2021) - [i10]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR abs/2112.15285 (2021) - 2020
- [j18]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) - [j17]Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo:
Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach. ACM Trans. Knowl. Discov. Data 14(1): 10:1-10:27 (2020) - [j16]Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong:
Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation. ACM Trans. Knowl. Discov. Data 14(6): 67:1-67:18 (2020) - [c43]Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong:
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. AAAI 2020: 1186-1193 - [c42]Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI 2020: 1395-1402 - [c41]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI 2020: 7667-7674 - [c40]Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang:
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) 2020: 386-402 - [c39]Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao:
Hierarchical Variational Attention for Sequential Recommendation. DASFAA (3) 2020: 523-539 - [c38]Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao:
Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. DASFAA (3) 2020: 557-572 - [c37]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c36]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM 2020: 1388-1393 - [c35]Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu:
Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR 2020 - [c34]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020: 2591-2597 - [c33]Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong:
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR 2020: 629-638 - [c32]Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong:
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. WSDM 2020: 807-815 - [c31]Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW 2020: 2768-2774 - [i9]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR abs/2001.04346 (2020) - [i8]Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. CoRR abs/2004.05774 (2020) - [i7]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR abs/2009.02835 (2020) - [i6]Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CoRR abs/2009.07429 (2020) - [i5]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR abs/2010.13903 (2020)
2010 – 2019
- 2019
- [j15]Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui:
Exploiting Aesthetic Features in Visual Contents for Movie Recommendation. IEEE Access 7: 49813-49821 (2019) - [j14]Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin:
Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265 (2019) - [j13]Yanchi Liu, Xue Wang, Wei You:
Non-Intrusive Load Monitoring by Voltage-Current Trajectory Enabled Transfer Learning. IEEE Trans. Smart Grid 10(5): 5609-5619 (2019) - [j12]Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong:
Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web 22(5): 2209-2224 (2019) - [c30]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI 2019: 5458-5465 - [c29]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI 2019: 5877-5884 - [c28]Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CIKM 2019: 2763-2771 - [c27]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
AdaCML: Adaptive Collaborative Metric Learning for Recommendation. DASFAA (2) 2019: 301-316 - [c26]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. DASFAA (2) 2019: 317-332 - [c25]Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Attention and Convolution Enhanced Memory Network for Sequential Recommendation. DASFAA (2) 2019: 333-349 - [c24]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI 2019: 3940-3946 - [c23]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI 2019: 4320-4326 - [c22]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong:
Recurrent Convolutional Neural Network for Sequential Recommendation. WWW 2019: 3398-3404 - [i4]Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR abs/1905.13030 (2019) - [i3]Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong:
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. CoRR abs/1911.10516 (2019) - 2018
- [j11]Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui:
Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation. IEEE Access 6: 68874-68881 (2018) - [j10]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng:
A Generative Model Approach for Geo-Social Group Recommendation. J. Comput. Sci. Technol. 33(4): 727-738 (2018) - [j9]Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang:
Personalized Air Travel Prediction: A Multi-factor Perspective. ACM Trans. Intell. Syst. Technol. 9(3): 30:1-30:26 (2018) - [c21]Yanchi Liu, Tan Yan, Haifeng Chen:
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. IJCAI 2018: 2475-2482 - [c20]Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018: 3926-3932 - [i2]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng:
Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation. CoRR abs/1806.06671 (2018) - 2017
- [j8]Lian Duan, Yanchi Liu, W. Nick Street, Haibing Lu:
Utilizing advances in correlation analysis for community structure detection. Expert Syst. Appl. 84: 74-91 (2017) - [j7]Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Intelligent bus routing with heterogeneous human mobility patterns. Knowl. Inf. Syst. 50(2): 383-415 (2017) - [c19]Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo:
Forecasting the rise and fall of volatile point-of-interests. IEEE BigData 2017: 1307-1312 - [c18]Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong:
Exploiting Hierarchical Structures for POI Recommendation. ICDM 2017: 655-664 - [c17]Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong:
Point-of-Interest Demand Modeling with Human Mobility Patterns. KDD 2017: 947-955 - [c16]Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong:
Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion. KDD 2017: 957-966 - [c15]Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong:
Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. ACM Multimedia 2017: 916-924 - 2016
- [j6]Yanchi Liu, Xue Wang, Youda Liu, Sujin Cui:
Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System. Sensors 16(7): 946 (2016) - [j5]Youda Liu, Xue Wang, Yanchi Liu, Sujin Cui:
Data-Aware Retrodiction for Asynchronous Harmonic Measurement in a Cyber-Physical Energy System. Sensors 16(8): 1316 (2016) - [c14]Hongting Niu, Junming Liu, Yanjie Fu, Yanchi Liu, Bo Lang:
Exploiting Human Mobility Patterns for Gas Station Site Selection. DASFAA (1) 2016: 242-257 - [c13]Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong:
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. ICDM 2016: 549-558 - [c12]Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong:
Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD 2016: 1015-1024 - 2015
- [c11]Youda Liu, Xue Wang, Yanchi Liu:
Asynchronous harmonic analysis based on out-of-sequence measurement for large-scale residential power network. I2MTC 2015: 1693-1698 - 2014
- [j4]Lian Duan, W. Nick Street, Yanchi Liu, Songhua Xu, Brook Wu:
Selecting the Right Correlation Measure for Binary Data. ACM Trans. Knowl. Discov. Data 9(2): 13:1-13:28 (2014) - [c10]Chao Xu, Zhu Zhu, Yanchi Liu, Yi-Fang Wu:
User Profiling for Query Refinement. AMCIS 2014 - [c9]Yu Zheng, Tong Liu, Yilun Wang, Yanmin Zhu, Yanchi Liu, Eric Chang:
Diagnosing New York city's noises with ubiquitous data. UbiComp 2014: 715-725 - [c8]Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan:
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM 2014: 120-129 - [c7]Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. ICDM 2014: 360-369 - [c6]Lian Duan, William Nick Street, Yanchi Liu, Haibing Lu:
Community detection in graphs through correlation. KDD 2014: 1376-1385 - 2013
- [j3]Lian Duan, W. Nick Street, Yanchi Liu:
Speeding up correlation search for binary data. Pattern Recognit. Lett. 34(13): 1499-1507 (2013) - [j2]Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, Sen Wu:
Understanding and Enhancement of Internal Clustering Validation Measures. IEEE Trans. Cybern. 43(3): 982-994 (2013) - 2012
- [j1]Zhongmou Li, Hui Xiong, Yanchi Liu:
Mining blackhole and volcano patterns in directed graphs: a general approach. Data Min. Knowl. Discov. 25(3): 577-602 (2012) - 2011
- [c5]