Chen Jason Zhang

Orcid: 0000-0002-3306-9317

According to our database1, Chen Jason Zhang authored at least 30 papers between 2013 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
Neural Moderation of ASMR Erotica Content in Social Networks.
IEEE Trans. Knowl. Data Eng., January, 2024

XPose: eXplainable Human Pose Estimation.
CoRR, 2024

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution.
CoRR, 2024

On Leveraging Large Language Models for Enhancing Entity Resolution.
CoRR, 2024

2023
Burstiness-Aware Web Search Analysis on Different Levels of Evidences.
IEEE Trans. Knowl. Data Eng., March, 2023

Scalable Identity-Oriented Speech Retrieval.
IEEE Trans. Knowl. Data Eng., March, 2023

Where to: Crowd-Aided Path Selection by Selective Bayesian Network.
IEEE Trans. Knowl. Data Eng., 2023

HENCE-X: Toward Heterogeneity-agnostic Multi-level Explainability for Deep Graph Networks.
Proc. VLDB Endow., 2023

Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection.
CoRR, 2023

Automatic Data Visualization Generation from Chinese Natural Language Questions.
CoRR, 2023

Opponent-aware Order Pricing towards Hub-oriented Mobility Services.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates.
IEEE Trans. Knowl. Data Eng., 2022

2021
Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data.
IEEE Access, 2021

A Health-friendly Speaker Verification System Supporting Mask Wearing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates.
IEEE Trans. Knowl. Data Eng., 2020

Joint Multi-View Hashing for Large-Scale Near-Duplicate Video Retrieval.
IEEE Trans. Knowl. Data Eng., 2020

Deep Reinforcement Learning-Based Access Control for Buffer-Aided Relaying Systems With Energy Harvesting.
IEEE Access, 2020

2017
Knowledge Base Semantic Integration Using Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2017

CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Object identification with Pay-As-You-Go crowdsourcing.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets.
Proc. VLDB Endow., 2015

CrowdLink: An Error-Tolerant Model for Linking Complex Records.
Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web, 2015

Cleaning uncertain data with a noisy crowd.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Where To: Crowd-Aided Path Selection.
Proc. VLDB Endow., 2014

gMission: A General Spatial Crowdsourcing Platform.
Proc. VLDB Endow., 2014

CrowdMatcher: crowd-assisted schema matching.
Proceedings of the International Conference on Management of Data, 2014

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Reducing Uncertainty of Schema Matching via Crowdsourcing.
Proc. VLDB Endow., 2013


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