Ting Dai

Orcid: 0000-0003-0257-2304

According to our database1, Ting Dai authored at least 41 papers between 2008 and 2024.

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Bibliography

2024
GreenABR+: Generalized Energy-Aware Adaptive Bitrate Streaming.
ACM Trans. Multim. Comput. Commun. Appl., September, 2024

ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement.
CoRR, 2024

Poster: Whether We Are Good Enough to Detect Server-Side Request Forgeries in PHP-native Applications?
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2022
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.
IEEE Trans. Software Eng., 2022

Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification.
Remote. Sens., 2022

Repairing Adversarial Texts Through Perturbation.
Proceedings of the Theoretical Aspects of Software Engineering, 2022

GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

2021
TFix+: Self-configuring Hybrid Timeout Bug Fixing for Cloud Systems.
CoRR, 2021

Rethinking Natural Adversarial Examples for Classification Models.
CoRR, 2021

Towards Repairing Neural Networks Correctly.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Probabilistic Verification of Neural Networks Against Group Fairness.
Proceedings of the Formal Methods - 24th International Symposium, 2021

2020
An Improved Broadcast Authentication Protocol for Wireless Sensor Networks Based on the Self-Reinitializable Hash Chains.
Secur. Commun. Networks, 2020

Diagnosis method of ultrasonic elasticity image of peripheral lung cancer based on genetic algorithm.
Neural Comput. Appl., 2020

Towards Repairing Neural Networks Correctly.
CoRR, 2020

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

White-box fairness testing through adversarial sampling.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.
Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

HangFix: automatically fixing software hang bugs for production cloud systems.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

Automatically detecting risky scripts in infrastructure code.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019
Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures.
IEEE Trans. Parallel Distributed Syst., 2019

Analyzing Recurrent Neural Network by Probabilistic Abstraction.
CoRR, 2019

TFix: Automatic Timeout Bug Fixing in Production Server Systems.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Study on Container Vulnerability Exploit Detection.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

FabZK: Supporting Privacy-Preserving, Auditable Smart Contracts in Hyperledger Fabric.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018
TScope: Automatic Timeout Bug Identification for Server Systems.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Understanding Real-World Timeout Problems in Cloud Server Systems.
Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server Systems.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
RoppDroid: Robust permission re-delegation prevention in Android inter-component communication.
Comput. Secur., 2017

Hytrace: a hybrid approach to performance bug diagnosis in production cloud infrastructures.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016
An Improved <i>μ</i>TESLA Protocol Based on Queuing Theory and Benaloh-Leichter SSS in WSNs.
J. Sensors, 2016

An Empirical Study on the Customer Channel Choice Behavior in the Overall Process of Shopping Under O2O Mode.
Int. J. Web Portals, 2016

A dynamic analysis on implementing performance excellence model: Importance, achievement and correlations.
Comput. Ind. Eng., 2016

2015
Thermoelastic analysis for rotating circular HSLA steel plates with variable thickness.
Appl. Math. Comput., 2015

Cognitive Factors and Representation Strategies In Sketching Math Diagrams.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Understanding Complex Binary Loading Behaviors.
Proceedings of the 2014 19th International Conference on Engineering of Complex Computer Systems, 2014

2013
Research on Migration Strategy of Mobile Agent in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2013

2012
Detecting and Preventing ActiveX API-Misuse Vulnerabilities in Internet Explorer.
Proceedings of the Information and Communications Security - 14th International Conference, 2012

2011
On the intelligent detection of insects in stored grain.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2009
Fairness and Interactivity of Three CPU Schedulers in Linux.
Proceedings of the 15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2009

2008
Modeling of solutal dendritic growth with melt convection.
Comput. Math. Appl., 2008


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