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Journal Articles
- 2017
[j1]Mian Wan
, Yuchen Jin, Ding Li, Jiaping Gui, Sonal Mahajan, William G. J. Halfond:
Detecting display energy hotspots in Android apps. Softw. Test. Verification Reliab. 27(6) (2017)
Conference and Workshop Papers
- 2024
- [c17]Kunal Mukherjee, Joshua Wiedemeier, Qi Wang, Junpei Kamimura, Junghwan John Rhee, James Wei, Zhichun Li, Xiao Yu, Lu-An Tang, Jiaping Gui, Kangkook Jee:
ProvIoT : Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security. ACNS (3) 2024: 241-268 - [c16]Yifeng Cai, Ziqi Zhang, Jiaping Gui, Bingyan Liu, Xiaoke Zhao, Ruoyu Li, Zhe Li, Ding Li:
FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning. USENIX Security Symposium 2024 - 2021
- [c15]Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CIKM 2021: 3747-3756 - 2020
- [c14]Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, Adam Bates:
This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. ACSAC 2020: 165-178 - [c13]Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen:
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE 2020: 1701-1712 - [c12]Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen:
Anomaly Detection on Web-User Behaviors Through Deep Learning. SecureComm (1) 2020: 467-473 - [c11]Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu:
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW 2020: 2144-2154 - 2019
- [c10]Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, Haifeng Chen:
Progressive processing of system-behavioral query. ACSAC 2019: 378-389 - [c9]Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI 2019: 3762-3770 - 2017
- [c8]Yingjun Lyu, Jiaping Gui, Mian Wan, William G. J. Halfond:
An Empirical Study of Local Database Usage in Android Applications. ICSME 2017: 444-455 - 2016
- [c7]Jiaping Gui, Ding Li, Mian Wan, William G. J. Halfond:
Lightweight measurement and estimation of mobile ad energy consumption. GREENS@ICSE 2016: 1-7 - [c6]Ding Li, Yingjun Lyu, Jiaping Gui, William G. J. Halfond:
Automated energy optimization of HTTP requests for mobile applications. ICSE 2016: 249-260 - 2015
- [c5]Jiaping Gui, Stuart McIlroy, Meiyappan Nagappan, William G. J. Halfond:
Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers. ICSE (1) 2015: 100-110 - 2014
- [c4]Ding Li, Shuai Hao, Jiaping Gui, William G. J. Halfond:
An Empirical Study of the Energy Consumption of Android Applications. ICSME 2014: 121-130 - 2012
- [c3]Jiaping Gui, Yue Wu, Chenji Pan, Futai Zou, Yifei Xie:
Cost based routing in delay tolerant networks. PIMRC 2012: 1084-1089 - [c2]Chenji Pan, Jiaping Gui, Jiaju Yan, Yue Wu:
Markov Chain-Based Routing Algorithm in Delay-Tolerant Networks. SAINT 2012: 161-165 - 2011
- [c1]Jiaping Gui, Shilin Wang:
Shape Feature Analysis for Visual Speech and Speaker Recognition. ICAIC (3) 2011: 167-174
Informal and Other Publications
- 2024
- [i4]Yunbo Li, Jiaping Gui, Yue Wu:
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning. CoRR abs/2405.16086 (2024) - 2020
- [i3]Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CoRR abs/2005.07427 (2020) - 2019
- [i2]Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks. CoRR abs/1910.08074 (2019) - 2017
- [i1]Jiaping Gui, Meiyappan Nagappan, William G. J. Halfond:
What Aspects of Mobile Ads Do Users Care About? An Empirical Study of Mobile In-app Ad Reviews. CoRR abs/1702.07681 (2017)
Coauthor Index
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