We stand with Ukraine

We stand with Ukraine

Qinglong Wang

Orcid: 0000-0002-7265-0497

Affiliations:

Zhejiang University, Hangzhou, China

According to our database¹, Qinglong Wang authored at least 28 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Beyond Content: A Comprehensive Speech Toxicity Dataset and Detection Framework Incorporating Paralinguistic Cues.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Imperceptible but Forgeable: Practical Invisible Watermark Forgery via Diffusion Models.

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CoRR, March, 2025

Robust Watermarks Leak: Channel-Aware Feature Extraction Enables Adversarial Watermark Manipulation.

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CoRR, February, 2025

LogLabeler: Towards Effective Acquisition of Log Labels in Industrial Log-Based Analysis.

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IEEE Trans. Serv. Comput., 2025

WMCopier: Forging Invisible Watermarks on Arbitrary Images.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SecHeadset: A Practical Privacy Protection System for Real-time Voice Communication.

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Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

2024

SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitution.

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Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization.

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Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Industry practice of configuration auto-tuning for cloud applications and services.

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Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks.

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Entropy, 2021

2020

Shapley Homology: Topological Analysis of Sample Influence for Neural Networks.

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Neural Comput., 2020

Deep Learning, Grammar Transfer, and Transportation Theory.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Adversarial Models for Deterministic Finite Automata.

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Proceedings of the Advances in Artificial Intelligence, 2020

2019

Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.

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CoRR, 2019

Gated Attentive-Autoencoder for Content-Aware Recommendation.

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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.

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Alexander G. Ororbia II

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Neural Comput., 2018

Verification of Recurrent Neural Networks Through Rule Extraction.

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CoRR, 2018

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.

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Alexander G. Ororbia II

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CoRR, 2018

Defending Against Adversarial Samples Without Security through Obscurity.

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Alexander G. Ororbia II

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Proceedings of the IEEE International Conference on Data Mining, 2018

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence.

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Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

An Empirical Evaluation of Recurrent Neural Network Rule Extraction.

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Alexander G. Ororbia II

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CoRR, 2017

Drone privacy shield: A WiFi based defense.

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Xue (Steve) Liu

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Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Adversary Resistant Deep Neural Networks with an Application to Malware Detection.

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Alexander G. Ororbia II

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Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Random Feature Nullification for Adversary Resistant Deep Architecture.

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CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.

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Alexander G. Ororbia II

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CoRR, 2016

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.

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Alexander G. Ororbia II

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CoRR, 2016

Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective.

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IEEE Commun. Surv. Tutorials, 2016

Smart Rate Control and Demand Balancing for Electric Vehicle Charging.

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Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

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