Li Li

Orcid: 0000-0003-4818-8770

Affiliations:
  • Southwest University, School of Computer and Information Science, Chongqing, China
  • CSIRO (former)
  • Swinburne University, Melbourne, Australia (former)


According to our database1, Li Li authored at least 120 papers between 2004 and 2023.

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Bibliography

2023
HCPG: a highlighted contrastive learning framework for exemplar-guided paraphrase generation.
Neural Comput. Appl., August, 2023

QDG: A unified model for automatic question-distractor pairs generation.
Appl. Intell., April, 2023

Learning Quantum Distributions Based on Normalizing Flow.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing.
Proceedings of the International Joint Conference on Neural Networks, 2023

PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Leveraging Task Dependencies and Label Constraints for Legal Judgment Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Contrastive Learning Augmented Graph Auto-Encoder.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Leveraging Knowledge-Aware Method for Charge Prediction.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
Adapting New Learners and New Resources to Micro Open Learning via Online Computation.
IEEE Trans. Comput. Soc. Syst., 2022

Adaptive Graph Guided Disambiguation for Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Verification Control Algorithm of Data Integrity Verification in Remote Data sharing.
KSII Trans. Internet Inf. Syst., 2022

Incorporating multiple cluster centers for multi-label learning.
Inf. Sci., 2022

Learning general temporal point processes based on dynamic weight generation.
Appl. Intell., 2022

Low-Rank Subspace Learning of Multikernel Based on Weighted Truncated Nuclear Norm for Image Segmentation.
IEEE Access, 2022

NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
Combining Knowledge with Attention Neural Networks for Short Text Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021

Topic Enhanced Multi-head Co-Attention: Generating Distractors for Reading Comprehension.
Proceedings of the International Joint Conference on Neural Networks, 2021

MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Fast and Accurate Neural Machine Translation with Translation Memory.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning.
World Wide Web, 2020

Incorporating Multiple Cluster Centers for Multi-Label Learning.
CoRR, 2020

Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Attention-Based Knowledge Tracing with Heterogeneous Information Network Embedding.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Fine-Tuned Transformer Model for Sentiment Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Deep Sequence Labelling Model for Information Extraction in Micro Learning Service.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Can Cross Entropy Loss Be Robust to Label Noise?
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning from Multi-Class Positive and Unlabeled Data.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
An adaptive mechanism to achieve learning rate dynamically.
Neural Comput. Appl., 2019

Opinion extraction by distinguishing term dependencies and digging deep text features.
Neural Comput. Appl., 2019

Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations.
CoRR, 2019

An Improved Historical Embedding without Alignment.
CoRR, 2019

Identifying word evolution by incorporating PoS and avoiding alignment of temporal words.
Appl. Soft Comput., 2019

Towards the Readiness of Learning Analytics Data for Micro Learning.
Proceedings of the Services Computing - SCC 2019, 2019

Word Position Aware Translation Memory for Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2019

DST: A Deep Urban Traffic Flow Prediction Framework Based on Spatial-Temporal Features.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Social-Aware and Sequential Embedding for Cold-Start Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Exploring Semantic Change of Chinese Word Using Crawled Web Data.
Proceedings of the Web Engineering - 19th International Conference, 2019

Integrating TM Knowledge into NMT with Double Chain Graph.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Discriminatively Relabel for Partial Multi-label Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

2018
Stochastic gradient descent with variance reduction technique.
Web Intell., 2018

Content tracking by leveraging hashtag and time information in Twitter social media.
Web Intell., 2018

A fast pseudo-stochastic sequential cipher generator based on RBMs.
Neural Comput. Appl., 2018

A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

P-DBL: A Deep Traffic Flow Prediction Architecture Based on Trajectory Data.
Proceedings of the Knowledge Science, Engineering and Management, 2018

A Deep Prediction Model of Traffic Flow Considering Precipitation Impact.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Estimating Latent Relative Labeling Importances for Multi-label Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Extracting Label Importance Information for Multi-label Classification.
Proceedings of the Database Systems for Advanced Applications, 2018

Enhancing Long Tail Recommendation Based on User's Experience Evolution.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Hybrid Decision Based Chinese News Headline Classification.
Proceedings of the Web and Big Data, 2018

2017
Performing Initiative Data Prefetching in Distributed File Systems for Cloud Computing.
IEEE Trans. Cloud Comput., 2017

Emphasizing Essential Words for Sentiment Classification Based on Recurrent Neural Networks.
J. Comput. Sci. Technol., 2017

Modeling Complementary Relationships of Cross-Category Products for Personal Ranking.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Role-aware Conformity Influence Analysis in Recommender Systems.
Proceedings of the 20th International Workshop on the Web and Databases, 2017

Exploring Latent Bundles from Social Behaviors for Personalized Ranking.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2017

ProductRec: Product Bundle Recommendation Based on User's Sequential Patterns in Social Networking Service Environment.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Learning Image Representation Based on Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Piecewise Hybrid of ARIMA and SVMs for Short-Term Traffic Flow Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Memory-Enhanced Latent Semantic Model: Short Text Understanding for Sentiment Analysis.
Proceedings of the Database Systems for Advanced Applications, 2017

Conformity Influence Meeting Evolving Consumer Experience in Recommender Systems.
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

Exploiting Label Correlations Using DBN Chains for Multi-Label Classification.
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

IIRank: Co-Ranking Scientific Articles by Characterizing their Innovativeness and Importance.
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

Context-Aware Topic Modeling for Content Tracking in Social Media.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Learning Intermediary Category Labels for Personal Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Efficient Stance Detection with Latent Feature.
Proceedings of the Web and Big Data, 2017

A Joint Model for Water Scarcity Evaluation.
Proceedings of the Web and Big Data, 2017

Word Similarity Computation with Extreme-Similar Method.
Proceedings of the Web and Big Data, 2017

2016
A multi-attribute probabilistic matrix factorization model for personalized recommendation.
Pattern Anal. Appl., 2016

An image compression and encryption scheme based on deep learning.
CoRR, 2016

An Improved HMM Model for Sensing Data Predicting in WSN.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

A Hybrid Approach for Sparse Data Classification Based on Topic Model.
Proceedings of the Web-Age Information Management, 2016

eXtreme Gradient Boosting for Identifying Individual Users Across Different Digital Devices.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

A hybrid method for bilingual text sentiment classification based on deep learning.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Stability Analysis of Switched Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Analyzing Topic-Sentiment and Topic Evolution over Time from Social Media.
Proceedings of the Knowledge Science, Engineering and Management, 2016

2015
Adaptive Replica Synchronization for Distributed File Systems.
IEEE Syst. J., 2015

Adaptive Wear-Leveling in Flash-Based Memory.
IEEE Comput. Archit. Lett., 2015

Exploring influential nodes using multi-attribute information.
Proceedings of the 11th International Conference on Natural Computation, 2015

Entity linking and name disambiguation using SVM in Chinese micro-blogs.
Proceedings of the 11th International Conference on Natural Computation, 2015

Name Disambiguation Using Semi-supervised Topic Model.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014
Optimized Design of Relay Node Placement for Industrial Wireless Network.
Int. J. Distributed Sens. Networks, 2014

Entity Linking and Name Disambiguation in Chinese Micro-Blogs.
Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

An Improved Latent Dirichlet Allocation Model for Hot Topic Extraction.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2013
Dealing with Trust, Distrust and Ignorance.
Proceedings of the Knowledge Science, Engineering and Management, 2013

2012
Learning to Classify Service Data with Latent Semantics.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Implicit surface triangulation with sampling.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

A Collaborative Filtering Recommendation System Combining Semantics and Bayesian Reasoning.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

2011
Semantic based aspect-oriented programming for context-aware Web service composition.
Inf. Syst., 2011

2010
A model checker for WS-CDL.
J. Syst. Softw., 2010

Generating an Efficient Sensor Network Program by Partial Deduction.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition.
Proceedings of the Knowledge Science, 2010

Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Semantic Weaving for Context-Aware Web Service Composition.
Proceedings of the Web Information Systems Engineering, 2009

Logic-based verification for Web services composition with TLA.
Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications, 2009

2008
Agent negotiation based ontology refinement process and mechanisms for service applications.
Serv. Oriented Comput. Appl., 2008

Agent-based ontology mapping and integration towards interoperability.
Expert Syst. J. Knowl. Eng., 2008

2007
Deriving Transactional Properties of CompositeWeb Services.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

E-Business Process Modelling with Finite State Machine Based Service Agents.
Proceedings of the Computer Supported Cooperative Work in Design IV, 2007

Ontological Approach for E-Services.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

2006
Ontological Approach Towards E-business Process Automation.
Proceedings of the 2006 IEEE International Conference on e-Business Engineering (ICEBE 2006), 2006

Implementation of Agent-based Ontology Mapping and Integration.
Proceedings of the 2006 IEEE International Conference on e-Business Engineering (ICEBE 2006), 2006

An Agent-Based Ontological Approach for Information Reorganisation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Formulating Agent Interaction for Ontology Evolution.
Proceedings of the Advances in Intelligent IT, 2006

2005
Supply Chain Protocolling.
Proceedings of the 7th IEEE International Conference on E-Commerce Technology (CEC 2005), 2005

Agent-Based Approach for Dynamic Ontology Management.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Semantic Mapping with Multi-Agent Systems.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

Agent-Based Ontology Mapping Towards Ontology Interoperability.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Ontology-Based Matchmaking in e-Marketplace with Web Services.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Agent-based approach towards ontology refinement in virtual enterprises.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

2004
E-business Value Process Modelling.
Proceedings of the Fourth International Conference on Electronic Business, 2004

Refinement for Ontology Evolution in Virtual Enterprises.
Proceedings of the Fourth International Conference on Electronic Business, 2004

An Ontology-Oriented Approach for Virtual Enterprises.
Proceedings of the Advanced Web Technologies and Applications, 2004


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