We stand with Ukraine

We stand with Ukraine

Haodi Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

M <sup>2</sup> Caps: learning multi-modal capsules of optical and SAR images for land cover classification.

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Int. J. Digit. Earth, December, 2025

Towards Visualizing Electronic Medical Records via Natural Language Queries.

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CoRR, June, 2025

Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-NoSQL Translation.

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Raymond Chi-Wing Wong

CoRR, February, 2025

Learning Road Network Index Structure for Efficient Map Matching.

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IEEE Trans. Knowl. Data Eng., January, 2025

Prompt-Based Relation Extraction By Reasoning with Contextual Knowledge.

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Dual Learning Between Molecules and Natural Language.

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Liang-Jie Zhang

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Natural Language to Overpass Query: A Multi-Step Approach Using Task Decomposition and Key-Value Correction.

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Proceedings of the 26th IEEE International Conference on Mobile Data Management, 2025

HRLMS: A Data-Driven Hierarchical Reinforcement Learning System for Interactive Rule Intervention and Visualization.

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Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

FeVisQA: Free-Form Question Answering over Data Visualizations.

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Raymond Chi-Wing Wong

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Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Robustness of Text-to-Visualization Translation Against Lexical and Phrasal Variability.

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Chen Jason Zhang

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Raymond Chi-Wing Wong

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Climate Downscaling Using Neural Operator: Spatiotemporal Multimodal Fusion Operator with State-Query Coupled Kernel.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models.

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Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

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

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Raymond Chi-Wing Wong

CoRR, 2024

COSIS: An AI-Enabled Digital Transformation Framework Integrating Large Language Models and Key Performance Indicators.

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Liang-Jie Zhang

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Proceedings of the Services Computing - SCC 2024, 2024

Bézier-UKF Enhanced Incremental MPC Planner for Quadrotor Based Target Following.

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Proceedings of the IEEE International Conference on Industrial Technology, 2024

Demonstration of FeVisQA: Free-Form Question Answering over Data Visualization.

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Raymond Chi-Wing Wong

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Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GAN Augmentation-Based Continuous Authentication for Vehicular Digital Twin.

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Proceedings of the IEEE International Conference on Communications, 2024

UeFormer: A Unifying Encoding Transformer Neural Operator for meteorological downscaling.

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Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024

Recognizing Textual Entailment by Hierarchical Crowdsourcing with Diverse Labor Costs.

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Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Automatic SQL Query Generation from Code Switched Natural Language Questions on Electronic Medical Records.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A secure recharge scheme for blockchain payment channels.

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J. Inf. Secur. Appl., November, 2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.

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Victor C. M. Leung

IEEE Trans. Comput. Soc. Syst., October, 2023

Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles.

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Sensors, October, 2023

Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey.

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Remote. Sens., October, 2023

Burstiness-Aware Web Search Analysis on Different Levels of Evidences.

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[DOI]

Chen Jason Zhang

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IEEE Trans. Knowl. Data Eng., March, 2023

Deep learning multi-modal fusion based 3D object detection. (Détection d'objets 3D par fusion multimodale basée sur l'apprentissage profond).

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PhD thesis, 2023

Where to: Crowd-Aided Path Selection by Selective Bayesian Network.

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[DOI]

Chen Jason Zhang

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IEEE Trans. Knowl. Data Eng., 2023

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

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Chen Jason Zhang

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CoRR, 2023

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.

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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-Making.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Query-Aware Quantization for Maximum Inner Product Search.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates.

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[DOI]

Chen Jason Zhang

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IEEE Trans. Knowl. Data Eng., 2022

An enhanced <i>N</i>-point interpolation method to eliminate average precision distortion.

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Alexandrina Rogozan

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Abdelaziz Bensrhair

Pattern Recognit. Lett., 2022

MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis.

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Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget.

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Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Knowledge-Enhanced Learning for KG Embedding.

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Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation.

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Danut Ovidiu Pop

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Alexandrina Rogozan

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Abdelaziz Bensrhair

IEEE Access, 2021

Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data.

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Chen Jason Zhang

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IEEE Access, 2021

Knowledge-Assisted DRL for Energy Harvesting Based Multi-Access Wireless Communications.

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Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Cross-modal verification for 3D object detection.

[BibT_eX]

[DOI]

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Alexandrina Rogozan

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Abdelaziz Bensrhair

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Exploiting Multi-source Data for Adversarial Driving Style Representation Learning.

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Proceedings of the Database Systems for Advanced Applications, 2021

2020

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

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Chen Jason Zhang

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IEEE Access, 2020

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning.

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IEEE Access, 2020

Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning.

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CoRR, 2019

How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Dual-enhanced Word Representations Based on Knowledge Base.

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Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

2017

Characterizing causal action theories and their implementations in answer set programming.

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Artif. Intell., 2017

Demo abstract: An intent solver for enabling intent-based SDN.

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Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016

Mapping Action Language BC to Logic Programs: A Characterization by Postulates.

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Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond.

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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