Liangyue Li

Orcid: 0000-0001-7630-8851

According to our database1, Liangyue Li authored at least 40 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Side Information-Driven Session-based Recommendation: A Survey.
CoRR, 2024

2023
On the Vulnerability of Graph Learning-based Collaborative Filtering.
ACM Trans. Inf. Syst., October, 2023

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2023

Modeling User Viewing Flow using Large Language Models for Article Recommendation.
CoRR, 2023

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Learning Optimal Propagation for Graph Neural Networks.
CoRR, 2022

Detecting Topology Attacks against Graph Neural Networks.
CoRR, 2022

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Attent: Active Attributed Network Alignment.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Finding Needles in Heterogeneous Haystacks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
ADMIRING: Adversarial Multi-network Mining.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Towards Real Time Team Optimization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Visualizing Research Impact through Citation Data.
ACM Trans. Interact. Intell. Syst., 2018

Ranking with Adaptive Neighbors.
CoRR, 2018

Network Science of Teams: Characterization, Prediction, and Optimization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Extra: explaining team recommendation in networks.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Towards Explainable Networked Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2017

NEMO: Next Career Move Prediction with Contextual Embedding.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Is the Whole Greater Than the Sum of Its Parts?
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Uncovering Teamwork in Networks - Prediction, Optimization and Explanation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
<i>iPath: </i> Forecasting the Pathway to Impact.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

QUINT: On Query-Specific Optimal Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

TEAMOPT: Interactive Team Optimization in Big Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation.
Proceedings of the 24th International Conference on World Wide Web, 2015

<i>Cheetah</i>: Fast Graph Kernel Tracking on Dynamic Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

The Child is Father of the Man: Foresee the Success at the Early Stage.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

g-Miner: Interactive Visual Group Mining on Multivariate Graphs.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
Learning low-rank and discriminative dictionary for image classification.
Image Vis. Comput., 2014

Does social media users' commenting behavior differ by their local community tie? A computer-assisted linguistic analysis approach.
First Monday, 2014

Low-Rank and Sparse Dictionary Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
What Do You Do? Occupation Recognition in a Photo via Social Context.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Discriminative dictionary learning with low-rank regularization for face recognition.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Predicting Professions through Probabilistic Model under Social Context.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Discriminative metric: Schatten norm vs. vector norm.
Proceedings of the 21st International Conference on Pattern Recognition, 2012


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