Keli Xiao

Orcid: 0000-0001-6494-1174

According to our database1, Keli Xiao authored at least 47 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction.
ACM Trans. Inf. Syst., July, 2024

rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus.
ACM Trans. Inf. Syst., May, 2024

Dependency Structure-Enhanced Graph Attention Networks for Event Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning.
ACM Trans. Manag. Inf. Syst., September, 2023

CFERE: Multi-type Chinese financial event relation extraction.
Inf. Sci., June, 2023

A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction.
ACM Trans. Inf. Syst., January, 2023

Diagnostic Sparse Connectivity Networks With Regularization Template.
IEEE Trans. Knowl. Data Eng., 2023

Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction.
CoRR, 2023

Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model.
Proceedings of the IEEE International Conference on Data Mining, 2023

Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Construction of a Chinese Corpus for Multi-Type Economic Event Relation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2022

Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning.
IEEE Trans. Knowl. Data Eng., 2022

Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model.
INFORMS J. Comput., 2022

2021
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning.
ACM Trans. Intell. Syst. Technol., 2021

Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students.
ACM Trans. Inf. Syst., 2020

Multi-User Mobile Sequential Recommendation for Route Optimization.
ACM Trans. Knowl. Discov. Data, 2020

Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension.
ACM Trans. Intell. Syst. Technol., 2020

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.
J. Biomed. Informatics, 2020

An association-constrained LDA model for joint extraction of product aspects and opinions.
Inf. Sci., 2020

Fast Sparse Connectivity Network Adaption via Meta-Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2019

Exploiting intra-day patterns for market shock prediction: A machine learning approach.
Expert Syst. Appl., 2019

Enhancing Domain Word Embedding via Latent Semantic Imputation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Price Shock Detection With an Influence-Based Model of Social Attention.
ACM Trans. Manag. Inf. Syst., 2018

Paradoxical Correlation Pattern Mining.
IEEE Trans. Knowl. Data Eng., 2018

Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Unified Theory of the Mobile Sequential Recommendation Problem.
Proceedings of the IEEE International Conference on Data Mining, 2018

Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Financial Asset Analysis with Mobile GIS.
Proceedings of the Encyclopedia of GIS., 2017

A Double-Layer Neural Network Framework for High-Frequency Forecasting.
ACM Trans. Manag. Inf. Syst., 2017

A Proactive Workflow Model for Healthcare Operation and Management.
IEEE Trans. Knowl. Data Eng., 2017

2016
Forecasting price shocks with social attention and sentiment analysis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Interval type-2 hesitant fuzzy set and its application in multi-criteria decision making.
Comput. Ind. Eng., 2015

Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Investigation of Simulated Annealing Cooling Schedule for Mobile Recommendations.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Proactive workflow modeling by stochastic processes with application to healthcare operation and management.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Feature selection for high-dimensional imbalanced data.
Neurocomputing, 2013

2011
Dynamic Rank Correlation Computing for Financial Risk Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2011

2010
BISC: A bitmap itemset support counting approach for efficient frequent itemset mining.
ACM Trans. Knowl. Discov. Data, 2010

An energy-efficient mobile recommender system.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2008
Perception-oriented online news extraction.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2008


  Loading...