Yanchi Liu
Orcid: 0000-0003-4396-5139
According to our database1,
Yanchi Liu
authored at least 127 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024
CoRR, 2024
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
A Study of the Effects of Different Semantic Distance Icons on Drivers' Cognitive Load in Automotive Human-Machine Interface.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023
World Wide Web (WWW), September, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.
ACM Trans. Knowl. Discov. Data, July, 2023
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning.
CoRR, 2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR, 2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023
CoRR, 2023
CoRR, 2023
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.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2022
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2022
CoRR, 2022
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation.
IEEE Trans. Knowl. Data Eng., 2021
Pattern Recognit., 2021
Neurocomputing, 2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR, 2021
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR, 2021
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Considering Interaction Sequence of Historical Items for Conversational Recommender System.
Proceedings of the Database Systems for Advanced Applications, 2021
Proceedings of the Database Systems for Advanced Applications, 2021
Learning Disentangled User Representation Based on Controllable VAE for Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021
Proceedings of the Database Systems for Advanced Applications, 2021
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
ACM Trans. Knowl. Discov. Data, 2020
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.
Neural Networks, 2020
CoRR, 2020
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.
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.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web, 2019
Non-Intrusive Load Monitoring by Voltage-Current Trajectory Enabled Transfer Learning.
IEEE Trans. Smart Grid, 2019
CoRR, 2019
IEEE Access, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Intell. Syst. Technol., 2018
J. Comput. Sci. Technol., 2018
CoRR, 2018
IEEE Access, 2018
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Knowl. Inf. Syst., 2017
Expert Syst. Appl., 2017
Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
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.
Sensors, 2016
Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System.
Sensors, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
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.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
2014
ACM Trans. Knowl. Discov. Data, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
Proceedings of the 20th Americas Conference on Information Systems, 2014
2013
IEEE Trans. Cybern., 2013
2012
Data Min. Knowl. Discov., 2012
2011
Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2011
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
2010
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
2008
An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising.
Proceedings of the Fourth International Conference on Natural Computation, 2008