Ting Dai

According to our database, Ting Dai authored at least 37 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong

IEEE Trans. Software Eng., 2022

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

Ting Dai, Shiyou Xu, Biao Tian, Jun Hu, Yue Zhang, Zengping Chen

Remote. Sens., 2022

Repairing Adversarial Texts Through Perturbation.

Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong

Proceedings of the Theoretical Aspects of Software Engineering, 2022

GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning.

Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow

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.

Jingzhu He, Ting Dai, Xiaohui Gu

CoRR, 2021

Rethinking Natural Adversarial Examples for Classification Models.

Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu

CoRR, 2021

Towards Repairing Neural Networks Correctly.

Guoliang Dong, Jun Sun, Xingen Wang, Xinyu Wang, Ting Dai

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Probabilistic Verification of Neural Networks Against Group Fairness.

Bing Sun, Jun Sun, Ting Dai, Lijun Zhang

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.

Haiping Huang, Qinglong Huang, Fu Xiao, Wenming Wang, Qi Li, Ting Dai

Secur. Commun. Networks, 2020

Diagnosis method of ultrasonic elasticity image of peripheral lung cancer based on genetic algorithm.

Ting Dai, Lujia Ni, Qiang Luo

Neural Comput. Appl., 2020

Towards Repairing Neural Networks Correctly.

Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai

CoRR, 2020

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.

Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

White-box fairness testing through adversarial sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai

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.

Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai

Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

HangFix: automatically fixing software hang bugs for production cloud systems.

Jingzhu He, Ting Dai, Xiaohui Gu, Guoliang Jin

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

Automatically detecting risky scripts in infrastructure code.

Ting Dai, Alexei A. Karve, Grzegorz Koper, Sai Zeng

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures.

Ting Dai, Daniel Joseph Dean, Peipei Wang, Xiaohui Gu, Shan Lu

IEEE Trans. Parallel Distributed Syst., 2019

Analyzing Recurrent Neural Network by Probabilistic Abstraction.

Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong

CoRR, 2019

TFix: Automatic Timeout Bug Fixing in Production Server Systems.

Jingzhu He, Ting Dai, Xiaohui Gu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Study on Container Vulnerability Exploit Detection.

Olufogorehan Tunde-Onadele, Jingzhu He, Ting Dai, Xiaohui Gu

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

FabZK: Supporting Privacy-Preserving, Auditable Smart Contracts in Hyperledger Fabric.

Hui Kang, Ting Dai, Nerla Jean-Louis, Shu Tao, Xiaohui Gu

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018

TScope: Automatic Timeout Bug Identification for Server Systems.

Jingzhu He, Ting Dai, Xiaohui Gu

Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Understanding Real-World Timeout Problems in Cloud Server Systems.

Ting Dai, Jingzhu He, Xiaohui Gu, Shan Lu

Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server Systems.

Ting Dai, Jingzhu He, Xiaohui Gu, Shan Lu, Peipei Wang

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

RoppDroid: Robust permission re-delegation prevention in Android inter-component communication.

Ting Dai, Xiaolei Li, Behnaz Hassanshahi, Roland H. C. Yap, Zhenkai Liang

Comput. Secur., 2017

Hytrace: a hybrid approach to performance bug diagnosis in production cloud infrastructures.

Ting Dai, Daniel Dean, Peipei Wang, Xiaohui Gu, Shan Lu

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.

Haiping Huang, Tianhe Gong, Tao Chen, Mingliang Xiong, Xinxing Pan, Ting Dai

J. Sensors, 2016

An Empirical Study on the Customer Channel Choice Behavior in the Overall Process of Shopping Under O2O Mode.

Ting Dai, Decheng Wen, Xiao Chen

Int. J. Web Portals, 2016

A dynamic analysis on implementing performance excellence model: Importance, achievement and correlations.

Decheng Wen, Jie Lv, Xiao Chen, Ting Dai

Comput. Ind. Eng., 2016

2015

Thermoelastic analysis for rotating circular HSLA steel plates with variable thickness.

Hong-Liang Dai, Ting Dai, Xiang Yan

Appl. Math. Comput., 2015

Cognitive Factors and Representation Strategies In Sketching Math Diagrams.

Damian Morden-Snipper, Ting Dai, Julie L. Booth, Briana Chang, Jennifer Cromley, Nora S. Newcombe

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Understanding Complex Binary Loading Behaviors.

Ting Dai, Mingwei Zhang, Roland H. C. Yap, Zhenkai Liang

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.

Ting Dai, Haiping Huang, Lu Yang, Ruchuan Wang, Xinxing Pan

Int. J. Distributed Sens. Networks, 2013

2012

Detecting and Preventing ActiveX API-Misuse Vulnerabilities in Internet Explorer.

Ting Dai, Sai Sathyanarayan, Roland H. C. Yap, Zhenkai Liang

Proceedings of the Information and Communications Security - 14th International Conference, 2012

2011

On the intelligent detection of insects in stored grain.

Ting Dai, Miao Zhang, Dexian Zhang

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2009

Fairness and Interactivity of Three CPU Schedulers in Linux.

Shen Wang, Yu Chen, Wei Jiang, Peng Li, Ting Dai, Yan Cui

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.

Ming-Fang Zhu, Ting Dai, Sung-Yoon Lee, Chun-Pyo Hong

Comput. Math. Appl., 2008