Artiklar med krav på offentlig åtkomst - Ding LiLäs mer
Inte tillgängliga någonstans: 2
ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching
S Zhang, L Wu, Y Li, Z Zhang, H Lei, D Li, Y Guo, X Chen
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
Krav: National Natural Science Foundation of China
Towards Efficient Hugepage-aware Memory Deduplication
R Huang, D Li, Y Guo, X Chen, Y Liu, Y Ren, N Jia, X Hu
Proceedings of the 4th Workshop on Resource Disaggregation and Serverless, 15-21, 2023
Krav: National Natural Science Foundation of China
Tillgängliga någonstans: 31
Nodoze: Combatting threat alert fatigue with automated provenance triage
WU Hassan, S Guo, D Li, Z Chen, K Jee, Z Li, A Bates
network and distributed systems security symposium, 2019
Krav: US National Science Foundation
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee, Z Chen, W Cheng, ...
Network and Distributed System Security Symposium, 2020
Krav: US National Science Foundation
Automated Energy Optimization of HTTP Requests for Mobile Applications
L Ding, L Yingjun, G Jiaping, H William,G.J.
Proceedings of the 38th International Conference on Software Engineering (ICSE), 2016
Krav: US National Science Foundation
{SAQL}: A stream-based query system for {Real-Time} abnormal system behavior detection
P Gao, X Xiao, D Li, Z Li, K Jee, Z Wu, CH Kim, SR Kulkarni, P Mittal
27th USENIX Security Symposium (USENIX Security 18), 639-656, 2018
Krav: US National Science Foundation
Nodemerge: Template based efficient data reduction for big-data causality analysis
Y Tang, D Li, Z Li, M Zhang, K Jee, X Xiao, Z Wu, J Rhee, F Xu, Q Li
Proceedings of the 2018 ACM SIGSAC conference on computer and communications …, 2018
Krav: National Natural Science Foundation of China
Detecting display energy hotspots in android apps
M Wan, Y Jin, D Li, J Gui, S Mahajan, WGJ Halfond
Software Testing, Verification and Reliability 27 (6), e1635, 2017
Krav: US National Science Foundation
{SIGL}: Securing software installations through deep graph learning
X Han, X Yu, T Pasquier, D Li, J Rhee, J Mickens, M Seltzer, H Chen
30th USENIX Security Symposium (USENIX Security 21), 2345-2362, 2021
Krav: US National Science Foundation, Natural Sciences and Engineering Research …
FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing
X Liu, J Wen, Z Chen, D Li, J Chen, Y Liu, H Wang, X Jin
ACM Transactions on Software Engineering and Methodology 32 (5), 1-29, 2023
Krav: National Natural Science Foundation of China, European Commission
Lightweight measurement and estimation of mobile ad energy consumption
J Gui, D Li, M Wan, WGJ Halfond
Proceedings of the 5th international workshop on green and sustainable …, 2016
Krav: US National Science Foundation
ReMoS: reducing defect inheritance in transfer learning via relevant model slicing
Z Zhang, Y Li, J Wang, B Liu, D Li, Y Guo, X Chen, Y Liu
Proceedings of the 44th international conference on software engineering …, 2022
Krav: National Natural Science Foundation of China
Attentional heterogeneous graph neural network: Application to program reidentification
S Wang, Z Chen, D Li, Z Li, LA Tang, J Ni, J Rhee, H Chen, PS Yu
Proceedings of the 2019 SIAM International Conference on Data Mining, 693-701, 2019
Krav: US National Science Foundation
{DISTDET}: A {Cost-Effective} distributed cyber threat detection system
F Dong, L Wang, X Nie, F Shao, H Wang, D Li, X Luo, X Xiao
32nd USENIX Security Symposium (USENIX Security 23), 6575-6592, 2023
Krav: National Natural Science Foundation of China
This is why we can’t cache nice things: Lightning-fast threat hunting using suspicion-based hierarchical storage
WU Hassan, D Li, K Jee, X Yu, K Zou, D Wang, Z Chen, Z Li, J Rhee, ...
Proceedings of the 36th Annual Computer Security Applications Conference …, 2020
Krav: US National Science Foundation
Remove rats from your code: automated optimization of resource inefficient database writes for mobile applications
Y Lyu, D Li, WGJ Halfond
Proceedings of the 27th ACM SIGSOFT international symposium on software …, 2018
Krav: US National Science Foundation
Distfl: Distribution-aware federated learning for mobile scenarios
B Liu, Y Cai, Z Zhang, Y Li, L Wang, D Li, Y Guo, X Chen
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2021
Krav: National Natural Science Foundation of China
Are we there yet? an industrial viewpoint on provenance-based endpoint detection and response tools
F Dong, S Li, P Jiang, D Li, H Wang, L Huang, X Xiao, J Chen, X Luo, ...
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
Krav: US National Science Foundation, National Natural Science Foundation of China …
A hybrid multiple criteria decision-making technique to evaluate regional intellectual capital: Evidence from China
C Liu, K Li, P Jiang, D Li, L Su, S Lu, A Li
Mathematics 9 (14), 1676, 2021
Krav: National Natural Science Foundation of China
Eunomia: enabling user-specified fine-grained search in symbolically executing WebAssembly binaries
N He, Z Zhao, J Wang, Y Hu, S Guo, H Wang, G Liang, D Li, X Chen, ...
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023
Krav: National Natural Science Foundation of China
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