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谢肖飞
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- affiliation: Singapore Management University, Singapore
- affiliation (former): Nanyang Technological University, Singapore
- unicode name: 谢肖飞
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2020 – today
- 2024
[j36]Ziming Zhao
, Zhaoxuan Li, Zhihao Zhou, Jiongchi Yu, Zhuoxue Song, Xiaofei Xie, Fan Zhang, Rui Zhang:
DDoS family: A novel perspective for massive types of DDoS attacks. Comput. Secur. 138: 103663 (2024)- [j35]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4057-4068 (2024) - [j34]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4069-4080 (2024) - [j33]Mengxi Jiang, Yulei Sui, Yunqi Lei, Xiaofei Xie, Cuihua Li, Yang Liu, Ivor W. Tsang:
Adversarial Learning for Coordinate Regression Through $k$k-Layer Penetrating Representation. IEEE Trans. Dependable Secur. Comput. 21(6): 5538-5552 (2024) - [j32]Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen:
CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains. IEEE Trans. Mob. Comput. 23(5): 5589-5603 (2024) - [j31]Xinrui Tan, Hongjia Li, Xiaofei Xie, Lu Guo, Nirwan Ansari, Xueqing Huang, Liming Wang, Zhen Xu, Yang Liu:
Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference. IEEE Trans. Mob. Comput. 23(12): 13222-13239 (2024) - [j30]Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma:
FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic. IEEE/ACM Trans. Netw. 32(5): 3945-3960 (2024) - [j29]Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu:
Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Trans. Softw. Eng. Methodol. 33(1): 21:1-21:24 (2024) - [j28]Yuhan Zhi, Xiaofei Xie, Chao Shen, Jun Sun, Xiaoyu Zhang, Xiaohong Guan:
Seed Selection for Testing Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(1): 23:1-23:33 (2024) - [j27]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33(1): 25:1-25:28 (2024) - [j26]Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
KAPE: kNN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33(2): 48:1-48:24 (2024) - [j25]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33(4): 111:1-111:42 (2024) - [j24]Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu:
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities. ACM Trans. Softw. Eng. Methodol. 33(7): 169:1-169:29 (2024) - [j23]Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Xiaofei Xie, Junjie Chen, Heming Cui:
Neuron Sensitivity-Guided Test Case Selection. ACM Trans. Softw. Eng. Methodol. 33(7): 188:1-188:32 (2024) - [j22]Shangqing Liu, Yanzhou Li, Xiaofei Xie, Wei Ma, Guozhu Meng, Yang Liu:
Automated Commit Intelligence by Pre-training. ACM Trans. Softw. Eng. Methodol. 33(8): 201:1-201:30 (2024) - [j21]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50(5): 1080-1095 (2024) - [j20]Jingyun Zhu, Kaixuan Li, Sen Chen, Lingling Fan, Junjie Wang, Xiaofei Xie:
A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android. IEEE Trans. Software Eng. 50(12): 3385-3402 (2024) - [c97]Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen:
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. DAC 2024: 84:1-84:6 - [c96]Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng:
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. ICSE 2024: 34:1-34:13 - [c95]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu:
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. ICSE 2024: 166:1-166:13 - [c94]Jian Wang, Shangqing Liu, Xiaofei Xie, Jingkai Siow, Kui Liu, Yi Li:
Ratchet: Retrieval Augmented Transformer for Program Repair. ISSRE 2024: 427-438 - [c93]Dong Huang, Tsz On Li, Xiaofei Xie, Heming Cui:
Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. ISSRE 2024: 451-462 - [c92]Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu:
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. ISSTA 2024: 313-324 - [c91]Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, Yang Liu:
How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation. ISSTA 2024: 1223-1235 - [c90]Jiongchi Yu, Xiaofei Xie, Cen Zhang, Sen Chen, Yuekang Li, Wenbo Shen:
Bugs in Pods: Understanding Bugs in Container Runtime Systems. ISSTA 2024: 1364-1376 - [c89]Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie, Boyu Wu, Shoubin Li, Fanjiang Xu, Qing Wang:
Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation. ISSTA 2024: 1491-1503 - [c88]Yifan Liao, Ming Xu, Yun Lin, Xiwen Teoh, Xiaofei Xie, Ruitao Feng, Frank Liaw, Hongyu Zhang, Jin Song Dong:
Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality. ASE 2024: 531-543 - [c87]Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li:
An Empirical Study to Evaluate AIGC Detectors on Code Content. ASE 2024: 844-856 - [c86]Yin Wu, Xiaofei Xie, Chenyang Peng, Dijun Liu, Hao Wu, Ming Fan, Ting Liu, Haijun Wang:
AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis. ASE 2024: 1019-1031 - [c85]Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen:
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. KDD 2024: 1096-1107 - [c84]Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu:
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. LCTES 2024: 166-177 - [i88]Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu:
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. CoRR abs/2401.08807 (2024) - [i87]Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao:
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR abs/2402.15769 (2024) - [i86]Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang:
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR abs/2402.18393 (2024) - [i85]Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo:
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. CoRR abs/2403.01971 (2024) - [i84]Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen:
MIP: CLIP-based Image Reconstruction from PEFT Gradients. CoRR abs/2403.07901 (2024) - [i83]Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu:
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. CoRR abs/2404.01554 (2024) - [i82]Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu:
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. CoRR abs/2404.09599 (2024) - [i81]Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen:
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR abs/2404.12846 (2024) - [i80]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. CoRR abs/2404.12850 (2024) - [i79]Qiang Hu, Jin Wen, Maxime Cordy, Yuheng Huang, Xiaofei Xie, Lei Ma:
Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing. CoRR abs/2404.14419 (2024) - [i78]Dong Huang, Xiaofei Xie, Heming Cui:
Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. CoRR abs/2405.09314 (2024) - [i77]Bowen Zhang, Xiaofei Xie, Haotian Lu, Na Ma, Tianlin Li, Qing Guo:
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling. CoRR abs/2405.18003 (2024) - [i76]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. CoRR abs/2407.12729 (2024) - [i75]Renzhi Wang, Zhehua Zhou, Jiayang Song, Xuan Xie, Xiaofei Xie, Lei Ma:
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems. CoRR abs/2408.03892 (2024) - [i74]Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang:
Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles. CoRR abs/2408.16771 (2024) - [i73]Yakun Zhang, Chen Liu, Xiaofei Xie, Yun Lin, Jin Song Dong, Dan Hao, Lu Zhang:
LLM-based Abstraction and Concretization for GUI Test Migration. CoRR abs/2409.05028 (2024) - [i72]Jingyun Zhu, Kaixuan Li, Sen Chen, Lingling Fan, Junjie Wang, Xiaofei Xie:
A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android. CoRR abs/2410.20740 (2024) - [i71]Qiang Hu, Xiaofei Xie, Sen Chen, Lei Ma:
Large Language Model Supply Chain: Open Problems From the Security Perspective. CoRR abs/2411.01604 (2024) - [i70]Peiheng Zhou, Ming Hu, Xingrun Quan, Yawen Peng, Xiaofei Xie, Yanxin Yang, Chengwei Liu, Yueming Wu, Mingsong Chen:
An Empirical Study of Vulnerability Detection using Federated Learning. CoRR abs/2411.16099 (2024) - [i69]Fei Gao, Ming Hu, Zhiyu Xie, Peichang Shi, Xiaofei Xie, Guodong Yi, Huaimin Wang:
NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing. CoRR abs/2412.04868 (2024) - [i68]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing. CoRR abs/2412.12656 (2024) - 2023
- [j19]Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang:
Neuron Coverage-Guided Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1302-1311 (2023) - [j18]Maxime Cordy, Xiaofei Xie, Bowen Xu, Stamatia Bibi:
MaLTeSQuE 2022 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 48(1): 95-96 (2023) - [j17]Yao Zhang, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen, Yang Liu, Xiaohong Li:
Demystifying Performance Regressions in String Solvers. IEEE Trans. Software Eng. 49(3): 947-961 (2023) - [j16]Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, Yang Liu:
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. IEEE Trans. Software Eng. 49(4): 2839-2855 (2023) - [j15]Ke Liu, Xiang Chen, Chunyang Chen, Xiaofei Xie, Zhanqi Cui:
Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow. IEEE Trans. Software Eng. 49(9): 4390-4410 (2023) - [c83]Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu:
Multi-target Backdoor Attacks for Code Pre-trained Models. ACL (1) 2023: 7236-7254 - [c82]Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang:
Mitigating Membership Inference Attacks via Weighted Smoothing. ACSAC 2023: 787-798 - [c81]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN 2023: 56-67 - [c80]Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CVPR 2023: 12271-12280 - [c79]Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu:
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. EMNLP (Findings) 2023: 9706-9716 - [c78]Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi:
SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack. ICDM (Workshops) 2023: 1342-1351 - [c77]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. ICLR 2023 - [c76]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) 2023: 1-6 - [c75]Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao:
Widget Detection-based Testing for Industrial Mobile Games. ICSE-SEIP 2023: 173-184 - [c74]Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang:
GameRTS: A Regression Testing Framework for Video Games. ICSE 2023: 1393-1404 - [c73]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE 2023: 1776-1787 - [c72]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE 2023: 2476-2487 - [c71]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. ISSTA 2023: 488-500 - [c70]Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Generative Model-Based Testing on Decision-Making Policies. ASE 2023: 243-254 - [c69]Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li:
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. ASE 2023: 686-697 - [c68]Longtian Wang, Xiaofei Xie, Xiaoning Du, Meng Tian, Qing Guo, Zheng Yang, Chao Shen:
DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems. ESEC/SIGSOFT FSE 2023: 68-80 - [c67]Cen Zhang, Yuekang Li, Hao Zhou, Xiaohan Zhang, Yaowen Zheng, Xian Zhan, Xiaofei Xie, Xiapu Luo, Xinghua Li, Yang Liu, Sheikh Mahbub Habib:
Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation. USENIX Security Symposium 2023: 2867-2884 - [c66]Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma:
Decompiling x86 Deep Neural Network Executables. USENIX Security Symposium 2023: 7357-7374 - [i67]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR abs/2301.09072 (2023) - [i66]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. CoRR abs/2301.11490 (2023) - [i65]Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li:
Evaluating AIGC Detectors on Code Content. CoRR abs/2304.05193 (2023) - [i64]Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CoRR abs/2304.11670 (2023) - [i63]Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu:
RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models. CoRR abs/2305.05896 (2023) - [i62]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR abs/2306.01250 (2023) - [i61]Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu:
Multi-target Backdoor Attacks for Code Pre-trained Models. CoRR abs/2306.08350 (2023) - [i60]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. CoRR abs/2307.07493 (2023) - [i59]Cen Zhang, Mingqiang Bai, Yaowen Zheng, Yeting Li, Xiaofei Xie, Yuekang Li, Wei Ma, Limin Sun, Yang Liu:
Understanding Large Language Model Based Fuzz Driver Generation. CoRR abs/2307.12469 (2023) - [i58]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon:
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR abs/2308.01314 (2023) - [i57]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu:
When GPT Meets Program Analysis: Towards Intelligent Detection of Smart Contract Logic Vulnerabilities in GPTScan. CoRR abs/2308.03314 (2023) - [i56]Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng:
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. CoRR abs/2309.08221 (2023) - [i55]Dong Huang, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui:
Bias Assessment and Mitigation in LLM-based Code Generation. CoRR abs/2309.14345 (2023) - [i54]Wei Ma, Chenguang Zhu, Ye Liu, Xiaofei Xie, Yi Li:
A Comprehensive Study of Governance Issues in Decentralized Finance Applications. CoRR abs/2311.01433 (2023) - [i53]Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen:
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning. CoRR abs/2311.13163 (2023) - [i52]Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen:
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. CoRR abs/2311.13166 (2023) - [i51]Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li:
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. CoRR abs/2312.03335 (2023) - [i50]Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen:
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. CoRR abs/2312.10766 (2023) - 2022
- [j14]Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan:
GBGallery : A benchmark and framework for game testing. Empir. Softw. Eng. 27(6): 140 (2022) - [j13]Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu:
Byzantine-Resilient Decentralized Stochastic Gradient Descent. IEEE Trans. Circuits Syst. Video Technol. 32(6): 4096-4106 (2022) - [j12]Guangquan Xu, Xiaofei Xie, Shuhan Huang, Jun Zhang, Lei Pan, Wei Lou, Kaitai Liang:
JSCSP: A Novel Policy-Based XSS Defense Mechanism for Browsers. IEEE Trans. Dependable Secur. Comput. 19(2): 862-878 (2022) - [j11]Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen:
Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions. IEEE Trans. Intell. Transp. Syst. 23(12): 25157-25168 (2022) - [j10]Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu:
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6976-6982 (2022) - [j9]Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu:
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 31(3): 47:1-47:27 (2022) - [j8]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon:
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31(4): 78:1-78:30 (2022) - [j7]Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment. IEEE Trans. Reliab. 71(4): 1401-1416 (2022) - [c65]Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu:
Cross-lingual transfer learning for statistical type inference. ISSTA 2022: 239-250 - [c64]Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu:
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. ASE 2022: 105:1-105:13 - [c63]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. ASE 2022: 108:1-108:13 - [c62]