Tieke He

Orcid: 0000-0001-9649-1796

According to our database1, Tieke He authored at least 56 papers between 2013 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models.
IEEE Trans. Software Eng., March, 2024

ROIC-DM: Robust Text Inference and Classification via Diffusion Model.
CoRR, 2024

2023
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model.
CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Federated Unlearning for On-Device Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Unified Question Generation with Continual Lifelong Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CIRCLE: continual repair across programming languages.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021
Improving Neural Question Generation using Deep Linguistic Representation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
A systemic framework for crowdsourced test report quality assessment.
Empir. Softw. Eng., 2020

TauJud: test augmentation of machine learning in judicial documents.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Crowdsourced requirements generation for automatic testing via knowledge graph.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

An Empirical Study of Law Articles Prediction on Transportation Legal Cases.
Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

Problem Kit System for Expression Ability Evaluation.
Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

The Design and Implementation of Test System for Expression Ability Evaluation.
Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

N2One: Identifying Coreference Object Among User Generated Content with Siamese Network.
Proceedings of the Web Information Systems and Applications, 2020

Mining the Software Engineering Forums: What's New and What's Left.
Proceedings of the Web Information Systems and Applications, 2020

2019
A Unified Framework for Bug Report Assignment.
Int. J. Softw. Eng. Knowl. Eng., 2019

Automatic test report augmentation to assist crowdsourced testing.
Frontiers Comput. Sci., 2019

Similarity Analysis of Law Documents Based on Word2vec.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Using Case Facts to Predict Accusation Based on Deep Learning.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Quality Driven Judicial Data Governance.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

A Deep Learning Method for Judicial Decision Support.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Judicial Knowledge Reasoning Based on Representation Learning.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

L2R-QA: An Open-Domain Question Answering Framework.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Judicial Case Screening Based on LDA.
Proceedings of the Data Science, 2019

Using Case Facts to Predict Penalty with Deep Learning.
Proceedings of the Data Science, 2019

A Content-Based Recommendation Framework for Judicial Cases.
Proceedings of the Data Science, 2019

Case Facts Analysis Method Based on Deep Learning.
Proceedings of the Web Information Systems and Applications, 2019

Ensemble Methods for Word Embedding Model Based on Judicial Text.
Proceedings of the Web Information Systems and Applications, 2019

2018
Fuzzy Clustering of Crowdsourced Test Reports for Apps.
ACM Trans. Internet Techn., 2018

PTM: A Topic Model for the Inferring of the Penalty.
J. Comput. Sci. Technol., 2018

Automated quality assessment for crowdsourced test reports of mobile applications.
Proceedings of the 25th International Conference on Software Analysis, 2018

Research on Judicial Data Standard.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

Research on the Information Quality Measurement of Judicial Documents.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

E-CAT: Evaluating Crowdsourced Android Testing.
Proceedings of the Data Science, 2018

Con-CNAME: A Contextual Multi-armed Bandit Algorithm for Personalized Recommendations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Predicting Passenger's Public Transportation Travel Route Using Smart Card Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Word Embedding Based Document Similarity for the Inferring of Penalty.
Proceedings of the Web Information Systems and Applications, 2018

2017
An empirical study on user-topic rating based collaborative filtering methods.
World Wide Web, 2017

PaRE: A System for Personalized Route Guidance.
Proceedings of the 26th International Conference on World Wide Web, 2017

Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Clustering on the Stream of Crowdsourced Testing.
Proceedings of the 14th Web Information Systems and Applications Conference, 2017

Cluster Correction on Polysemy and Synonymy.
Proceedings of the 14th Web Information Systems and Applications Conference, 2017

Knowledge Graph Construction Based on Judicial Data with Social Media.
Proceedings of the 14th Web Information Systems and Applications Conference, 2017

2016
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs.
ACM Trans. Intell. Syst. Technol., 2016

Mining Feature-Opinion from Reviews Based on Dependency Parsing.
Int. J. Softw. Eng. Knowl. Eng., 2016

Exploring the Influence of Time Factor in Bug Report Prioritization.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

An Efficient Algorithm to Identify Minimal Failure-Causing Schemas from Exhaustive Test Suite.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Mining Feature-Opinion from Reviews Based on Dependency Parsing.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Automated Evaluation for Performance Test Scripts.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2015
Predicting Users' Purchasing Behaviors Using Their Browsing History.
Proceedings of the Databases Theory and Applications, 2015

Predicting Passengers in Public Transportation Using Smart Card Data.
Proceedings of the Databases Theory and Applications, 2015

2013
Comparing Collaborative Filtering Methods Based on User-Topic Ratings.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013


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