Haodi Zhang

Orcid: 0000-0001-8470-7246

According to our database1, Haodi Zhang authored at least 38 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

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

Bézier-UKF Enhanced Incremental MPC Planner for Quadrotor Based Target Following.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Demonstration of FeVisQA: Free-Form Question Answering over Data Visualization.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GAN Augmentation-Based Continuous Authentication for Vehicular Digital Twin.
Proceedings of the IEEE International Conference on Communications, 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

2023
A secure recharge scheme for blockchain payment channels.
J. Inf. Secur. Appl., November, 2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2023

Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles.
Sensors, October, 2023

Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey.
Remote. Sens., October, 2023

Burstiness-Aware Web Search Analysis on Different Levels of Evidences.
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).
PhD thesis, 2023

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

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

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-Making.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Query-Aware Quantization for Maximum Inner Product Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

An enhanced <i>N</i>-point interpolation method to eliminate average precision distortion.
Pattern Recognit. Lett., 2022

MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 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

Knowledge-Enhanced Learning for KG Embedding.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation.
IEEE Access, 2021

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

Knowledge-Assisted DRL for Energy Harvesting Based Multi-Access Wireless Communications.
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.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Exploiting Multi-source Data for Adversarial Driving Style Representation Learning.
Proceedings of the Database Systems for Advanced Applications, 2021

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

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning.
IEEE Access, 2020

Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely.
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.
CoRR, 2019

How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Dual-enhanced Word Representations Based on Knowledge Base.
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.
Artif. Intell., 2017

Demo abstract: An intent solver for enabling intent-based SDN.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016
Mapping Action Language BC to Logic Programs: A Characterization by Postulates.
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.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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