Ziqi Yang

Orcid: 0009-0009-4995-7085

According to our database1, Ziqi Yang authored at least 51 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Flying in Narrow Spaces: Prioritizing Safety With Disturbance-Aware Control.
IEEE Robotics Autom. Lett., July, 2024

Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

HAFE: A Hierarchical Awareness and Feature Enhancement Network for Scene Text Recognition.
Knowl. Based Syst., 2024

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Networks.
CoRR, 2024

Federated Graph Learning for Cross-Domain Recommendation.
CoRR, 2024

CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024

MASKDROID: Robust Android Malware Detection with Masked Graph Representations.
CoRR, 2024

Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024

Joint-Motion Mutual Learning for Pose Estimation in Videos.
CoRR, 2024

"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication.
CoRR, 2024

Enhancing Security in Multi-Robot Systems through Co-Observation Planning, Reachability Analysis, and Network Flow.
CoRR, 2024

LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction.
Comput. Methods Programs Biomed., 2024

Unveiling the Multi-Dimensional Spatio-Temporal Fusion Transformer (MDSTFT): A Revolutionary Deep Learning Framework for Enhanced Multi-Variate Time Series Forecasting.
IEEE Access, 2024

Property Existence Inference against Generative Models.
Proceedings of the 33rd USENIX Security Symposium, 2024

BounceAttack: A Query-Efficient Decision-based Adversarial Attack by Bouncing into the Wild.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Joint-Motion Mutual Learning for Pose Estimation in Video.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

APIBeh: Learning Behavior Inclination of APIs for Malware Classification.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Automated Trajectory Generation for Robotic Surgical Tasks.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Modified Bilateral Active Estimation Model: A Learning-Based Solution to the Time Delay Problem in Robotic Tele-Control.
IEEE Robotics Autom. Lett., May, 2023

A Step Towards Conditional Autonomy - Robotic Appendectomy.
IEEE Robotics Autom. Lett., May, 2023

SAGE: Steering the Adversarial Generation of Examples With Accelerations.
IEEE Trans. Inf. Forensics Secur., 2023

MsDroid: Identifying Malicious Snippets for Android Malware Detection.
IEEE Trans. Dependable Secur. Comput., 2023

Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model.
CoRR, 2023

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification.
CoRR, 2023

FLGo: A Fully Customizable Federated Learning Platform.
CoRR, 2023

Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Exploring the State-of-the-Practices in Smart Expressway: Multi-Country Comparison.
Proceedings of the 8th IEEE International Conference on Intelligent Transportation Engineering, 2023

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Artificial Intelligence Enhanced Two-Stage Hybrid Fault Prognosis Methodology of PMSM.
IEEE Trans. Ind. Informatics, 2022

DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Predicting RBP Binding Sites of RNA With High-Order Encoding Features and CNN-BLSTM Hybrid Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

An LSTM-based Bilateral Active Estimation Model for Robotic Teleoperation with Varying Time Delay.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Difference Analysis of the Effect of Human Capital Accumulation on Economic Growth between Coastal Cities and Inland Areas in China in Recent Ten Years* - - the Empirical Research on 15 Sub-provincial Cities.
Proceedings of the IPEC 2021: 2nd Asia-Pacific Conference on Image Processing, 2021

Multi-Agent Trajectory Optimization Against Plan-Deviation Attacks using Co-Observations and Reachability Constraints.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification.
CoRR, 2020

Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization.
CoRR, 2020

A Temporal Sequence Dual-Branch Network for Classifying Hybrid Ultrasound Data of Breast Cancer.
IEEE Access, 2020

Multi-Agent Path Planning Under Observation Schedule Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Rotational Outlier Identification in Pose Graphs using Dual Decomposition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Research on Scenario Classification of Burglary Cases via BERT.
Proceedings of the IEEE Intl Conf on Dependable, 2020

From Homogeneous to Heterogeneous: Leveraging Deep Learning based Power Analysis across Devices.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking.
CoRR, 2019

Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment.
CoRR, 2019

Fidelity: Towards Measuring the Trustworthiness of Neural Network Classification.
Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019

Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Fidelity: A Property of Deep Neural Networks to Measure the Trustworthiness of Prediction Results.
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

2018
Automated identification of sensitive data from implicit user specification.
Cybersecur., 2018

Automated Identification of Sensitive Data via Flexible User Requirements.
Proceedings of the Security and Privacy in Communication Networks, 2018

2017
Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017


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