Chen Zhang

Orcid: 0000-0002-3306-9317

Affiliations:
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong
  • University of New South Wales, School of Computer Science and Engineering, Sydney, Australia


According to our database1, Chen Zhang authored at least 66 papers between 2013 and 2024.

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Bibliography

2024
Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets.
VLDB J., September, 2024

Galaxybase: A High Performance Native Distributed Graph Database for HTAP.
Proc. VLDB Endow., August, 2024

CMixing: An Efficient Coin Mixing Platform to Enhance Anonymity in Cryptocurrency Transactions.
Proc. VLDB Endow., August, 2024

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing.
ACM Trans. Inf. Syst., May, 2024

Neural Moderation of ASMR Erotica Content in Social Networks.
IEEE Trans. Knowl. Data Eng., January, 2024

Model-agnostic counterfactual reasoning for identifying and mitigating answer bias in knowledge tracing.
Neural Networks, 2024

Mind Your Questions! Towards Backdoor Attacks on Text-to-Visualization Models.
CoRR, 2024

Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing.
CoRR, 2024

Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting.
CoRR, 2024

InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries.
CoRR, 2024

Cost-Aware Uncertainty Reduction in Schema Matching with GPT-4: The Prompt-Matcher Framework.
CoRR, 2024

DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization.
CoRR, 2024

Pairwise Judgment Formulation for Semantic Embedding Model in Web Search.
CoRR, 2024

Dissecting Multiplication in Transformers: Insights into LLMs.
CoRR, 2024

Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability.
CoRR, 2024

XPose: eXplainable Human Pose Estimation.
CoRR, 2024

Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization.
CoRR, 2024

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

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Privacy-Preserving Traffic Flow Release with Consistency Constraints.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Recognizing Textual Entailment by Hierarchical Crowdsourcing with Diverse Labor Costs.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Automatic Data Visualization Generation from Chinese Natural Language Questions.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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

Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition.
IEEE Trans. Inf. Forensics Secur., 2023

Road Extraction With Satellite Images and Partial Road Maps.
IEEE Trans. Geosci. Remote. Sens., 2023

Utility-aware Payment Channel Network Rebalance.
Proc. VLDB Endow., 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

Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing.
CoRR, 2023

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.
Proceedings of the 39th IEEE International Conference on Data Engineering, 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

Probabilistic Topic Models - Foundation and Application
Springer, ISBN: 978-981-99-2430-1, 2023

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

Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering.
Proceedings of the Database Systems for Advanced Applications, 2021

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

2020
Cohesive Subgraph Computation in Graphs.
PhD thesis, 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

Exploring Finer Granularity within the Cores: Efficient (k, p)-Core Computation.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
CoreCube: Core Decomposition in Multilayer Graphs.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Efficient Maximal Spatial Clique Enumeration.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Burstiness in Query Log: Web Search Analysis by Combining Global and Local Evidences.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Effective Solution for Labeling Candidates with a Proper Ration for Efficient Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2018

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

Scalable Top-K Structural Diversity Search.
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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