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Yan Xiao 0002
Person information
- affiliation: Sun Yat-sen University, School of Cyber Science and Technology, China
- affiliation (former): National University of Singapore, Singapore
- affiliation (former): City University of Hong Kong, Hong Kong
Other persons with the same name
- Yan Xiao — disambiguation page
- Yan Xiao 0001 — University of Texas at Arlington, College of Nursing and Health Innovation, TX, USA (and 3 more)
- Yan Xiao 0003 — Ryerson University, Department of Aerospace Engineering, Toronto, ON, Canada (and 1 more)
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2020 – today
- 2024
- [j19]Shuo Feng, Jacky Keung, Yan Xiao, Peichang Zhang, Xiao Yu, Xiaochun Cao:
Improving the undersampling technique by optimizing the termination condition for software defect prediction. Expert Syst. Appl. 235: 121084 (2024) - [j18]Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Stefanos Koffas, Yiming Li:
Toward Stealthy Backdoor Attacks Against Speech Recognition via Elements of Sound. IEEE Trans. Inf. Forensics Secur. 19: 5852-5866 (2024) - [j17]Xiaoxue Ma, Jacky Keung, Pinjia He, Yan Xiao, Xiao Yu, Yishu Li:
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering. IEEE Trans. Ind. Informatics 20(2): 1687-1697 (2024) - [c17]Jingyu Zhang, Jacky Keung, Xiaoxue Ma, Xiangyu Li, Yan Xiao, Yishu Li, Wing Kwong Chan:
Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks. COMPSAC 2024: 1095-1100 - [i12]Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang:
RITFIS: Robust input testing framework for LLMs-based intelligent software. CoRR abs/2402.13518 (2024) - [i11]Pengyu Xue, Linhao Wu, Zhen Yang, Xinyi Li, Zhongxing Yu, Zhi Jin, Ge Li, Yan Xiao, Jingwen Wu:
Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing. CoRR abs/2410.07516 (2024) - 2023
- [j16]Hanting Chu, Pengcheng Zhang, Hai Dong, Yan Xiao, Shunhui Ji, Wenrui Li:
A survey on smart contract vulnerabilities: Data sources, detection and repair. Inf. Softw. Technol. 159: 107221 (2023) - [j15]Fuyang Li, Kuan Zou, Jacky Wai Keung, Xiao Yu, Shuo Feng, Yan Xiao:
On the relative value of imbalanced learning for code smell detection. Softw. Pract. Exp. 53(10): 1902-1927 (2023) - [j14]Zhen Yang, Jacky Wai Keung, Xiao Yu, Yan Xiao, Zhi Jin, Jingyu Zhang:
On the Significance of Category Prediction for Code-Comment Synchronization. ACM Trans. Softw. Eng. Methodol. 32(2): 30:1-30:41 (2023) - [j13]Pengcheng Zhang, Qifan Yu, Yan Xiao, Hai Dong, Xiapu Luo, Xiao Wang, Meng Zhang:
BiAn: Smart Contract Source Code Obfuscation. IEEE Trans. Software Eng. 49(9): 4456-4476 (2023) - [c16]Shunhui Ji, Congxiong Huang, Pengcheng Zhang, Hai Dong, Yan Xiao:
Ponzi Scheme Detection Based on Control Flow Graph Feature Extraction. ICWS 2023: 585-594 - [c15]Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang:
LEAP: Efficient and Automated Test Method for NLP Software. ASE 2023: 1136-1148 - [i10]Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Stefanos Koffas, Yiming Li:
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound. CoRR abs/2307.08208 (2023) - [i9]Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang:
LEAP: Efficient and Automated Test Method for NLP Software. CoRR abs/2308.11284 (2023) - [i8]Yan Xiao, Xinyue Zuo, Lei Xue, Kailong Wang, Jin Song Dong, Ivan Beschastnikh:
Empirical Study on Transformer-based Techniques for Software Engineering. CoRR abs/2310.00399 (2023) - 2022
- [j12]Shuo Feng, Jacky Keung, Peichang Zhang, Yan Xiao, Miao Zhang:
The impact of the distance metric and measure on SMOTE-based techniques in software defect prediction. Inf. Softw. Technol. 142: 106742 (2022) - [j11]Xiao Yu, Jacky Keung, Yan Xiao, Shuo Feng, Fuyang Li, Heng Dai:
Predicting the precise number of software defects: Are we there yet? Inf. Softw. Technol. 146: 106847 (2022) - [c14]Qifan Yu, Pengcheng Zhang, Hai Dong, Yan Xiao, Shunhui Ji:
Bytecode Obfuscation for Smart Contracts. APSEC 2022: 566-567 - [c13]Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong:
Repairing Failure-inducing Inputs with Input Reflection. ASE 2022: 85:1-85:13 - [i7]Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong:
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective. CoRR abs/2206.12227 (2022) - [i6]Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Shunhui Ji:
PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking. CoRR abs/2211.08697 (2022) - [i5]Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Shunhui Ji:
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion. CoRR abs/2212.10103 (2022) - 2021
- [j10]Qing Mi, Yan Xiao, Zhi Cai, Xibin Jia:
The effectiveness of data augmentation in code readability classification. Inf. Softw. Technol. 129: 106378 (2021) - [j9]Shuo Feng, Jacky Keung, Xiao Yu, Yan Xiao, Kwabena Ebo Bennin, Md. Alamgir Kabir, Miao Zhang:
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction. Inf. Softw. Technol. 129: 106432 (2021) - [j8]Miao Zhang, Jacky Wai Keung, Yan Xiao, Md. Alamgir Kabir:
Evaluating the effects of similar-class combination on class integration test order generation. Inf. Softw. Technol. 129: 106438 (2021) - [j7]Miao Zhang, Jacky Wai Keung, Tsong Yueh Chen, Yan Xiao:
Validating class integration test order generation systems with Metamorphic Testing. Inf. Softw. Technol. 132: 106507 (2021) - [j6]Shuo Feng, Jacky Keung, Xiao Yu, Yan Xiao, Miao Zhang:
Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction. Inf. Softw. Technol. 139: 106662 (2021) - [c12]Shuo Feng, Jacky Keung, Jie Liu, Yan Xiao, Xiao Yu, Miao Zhang:
ROCT: Radius-based Class Overlap Cleaning Technique to Alleviate the Class Overlap Problem in Software Defect Prediction. COMPSAC 2021: 228-237 - [c11]Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong:
Self-Checking Deep Neural Networks in Deployment. ICSE 2021: 372-384 - [i4]Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong:
Self-Checking Deep Neural Networks in Deployment. CoRR abs/2103.02371 (2021) - [i3]Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong:
Generalizing Neural Networks by Reflecting Deviating Data in Production. CoRR abs/2110.02718 (2021) - 2020
- [c10]Zhen Yang, Jacky Keung, Miao Zhang, Yan Xiao, Yangyang Huang, Tik Hui:
Smart Contracts Vulnerability Auditing with Multi-semantics. COMPSAC 2020: 892-901
2010 – 2019
- 2019
- [j5]Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi:
Improving bug localization with word embedding and enhanced convolutional neural networks. Inf. Softw. Technol. 105: 17-29 (2019) - [j4]George Trimponias, Yan Xiao, Xiaorui Wu, Hong Xu, Yanhui Geng:
Node-Constrained Traffic Engineering: Theory and Applications. IEEE/ACM Trans. Netw. 27(4): 1344-1358 (2019) - [c9]Miao Zhang, Jacky Keung, Yan Xiao, Md. Alamgir Kabir, Shuo Feng:
A Heuristic Approach to Break Cycles for the Class Integration Test Order Generation. COMPSAC (1) 2019: 47-52 - [i2]George Trimponias, Yan Xiao, Xiaorui Wu, Hong Xu, Yanhui Geng:
Node-Constrained Traffic Engineering: Theory and Applications. CoRR abs/1907.03058 (2019) - 2018
- [j3]Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi:
Machine translation-based bug localization technique for bridging lexical gap. Inf. Softw. Technol. 99: 58-61 (2018) - [j2]Qing Mi, Jacky Keung, Yan Xiao, Solomon Mensah, Yujin Gao:
Improving code readability classification using convolutional neural networks. Inf. Softw. Technol. 104: 60-71 (2018) - [c8]Yan Xiao, Jacky Keung:
Improving Bug Localization with Character-Level Convolutional Neural Network and Recurrent Neural Network. APSEC 2018: 703-704 - [c7]Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin:
Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest. EASE 2018: 101-111 - [c6]Qing Mi, Jacky Keung, Yan Xiao, Solomon Mensah, Xiupei Mei:
An Inception Architecture-Based Model for Improving Code Readability Classification. EASE 2018: 139-144 - 2017
- [c5]Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin:
Improving Bug Localization with an Enhanced Convolutional Neural Network. APSEC 2017: 338-347 - [c4]Qing Mi, Yujin Gao, Jacky Keung, Yan Xiao, Solomon Mensah:
Identifying Textual Features of High-Quality Questions: An Empirical Study on Stack Overflow. APSEC 2017: 636-641 - [c3]Qing Mi, Jacky Keung, Jianglin Huang, Yan Xiao:
Using Eye Tracking Technology to Analyze the Impact of Stylistic Inconsistency on Code Readability. QRS Companion 2017: 579-580 - [i1]George Trimponias, Yan Xiao, Hong Xu, Xiaorui Wu, Yanhui Geng:
On Traffic Engineering with Segment Routing in SDN based WANs. CoRR abs/1703.05907 (2017) - 2016
- [j1]Pengcheng Zhang, Yan Xiao, Yuelong Zhu, Jun Feng, Dingsheng Wan, Wenrui Li, Hareton Leung:
A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series. Int. J. Web Serv. Res. 13(3): 26-45 (2016) - 2015
- [c2]Dingsheng Wan, Yan Xiao, Pengcheng Zhang, Hareton Leung:
Hydrological Big Data Prediction Based on Similarity Search and Improved BP Neural Network. BigData Congress 2015: 343-350 - 2014
- [c1]Dingsheng Wan, Yan Xiao, Pengcheng Zhang, Jun Feng, Yuelong Zhu, Qian Liu:
Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure. BigData Congress 2014: 339-346
Coauthor Index
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last updated on 2024-11-19 21:44 CET by the dblp team
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