Shape Feature Analysis for Visual Speech and Speaker Recognition. - Jiaping Gui; Shilin Wang (ICAIC (3), 2011)

Cost based routing in delay tolerant networks. - Jiaping Gui; Yue Wu 010; Chenji Pan; Futai Zou; Yifei Xie (PIMRC, 2012)

Markov Chain-Based Routing Algorithm in Delay-Tolerant Networks. - Chenji Pan; Jiaping Gui; Jiaju Yan; Yue Wu 010 (SAINT, 2012)

An Empirical Study of the Energy Consumption of Android Applications. - Ding Li 001; Shuai Hao 002; Jiaping Gui; William G. J. Halfond (ICSME, 2014)

Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers. - Jiaping Gui; Stuart McIlroy; Meiyappan Nagappan; William G. J. Halfond (ICSE (1), 2015)

Lightweight measurement and estimation of mobile ad energy consumption. - Jiaping Gui; Ding Li 001; Mian Wan; William G. J. Halfond (GREENS@ICSE, 2016)

Automated energy optimization of HTTP requests for mobile applications. - Ding Li 001; Yingjun Lyu; Jiaping Gui; William G. J. Halfond (ICSE, 2016)

An Empirical Study of Local Database Usage in Android Applications. - Yingjun Lyu; Jiaping Gui; Mian Wan; William G. J. Halfond (ICSME, 2017)

What Aspects of Mobile Ads Do Users Care About? An Empirical Study of Mobile In-app Ad Reviews. - Jiaping Gui; Meiyappan Nagappan; William G. J. Halfond (CoRR, 2017)

Detecting display energy hotspots in Android apps. - Mian Wan; Yuchen Jin; Ding Li 001; Jiaping Gui; Sonal Mahajan; William G. J. Halfond (Softw. Test. Verification Reliab., 2017)

Progressive processing of system-behavioral query. - Jiaping Gui; Xusheng Xiao; Ding Li 001; Chung Hwan Kim; Haifeng Chen (ACSAC, 2019)

Heterogeneous Graph Matching Networks for Unknown Malware Detection. - Shen Wang 005; Zhengzhang Chen; Xiao Yu 007; Ding Li 001; Jingchao Ni; Lu-An Tang; Jiaping Gui; Zhichun Li; Haifeng Chen; Philip S. Yu (IJCAI, 2019)

Heterogeneous Graph Matching Networks. - Shen Wang 005; Zhengzhang Chen; Xiao Yu 007; Ding Li 001; Jingchao Ni; Lu-An Tang; Jiaping Gui; Zhichun Li; Haifeng Chen; Philip S. Yu (CoRR, 2019)

This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. - Wajih Ul Hassan; Ding Li 001; Kangkook Jee; Xiao Yu 007; Kexuan Zou; Dawei Wang; Zhengzhang Chen; Zhichun Li; Junghwan Rhee; Jiaping Gui; Adam Bates 001 (ACSAC, 2020)

APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. - Jiaping Gui; Ding Li 001; Zhengzhang Chen; Junghwan Rhee; Xusheng Xiao; Mu Zhang 001; Kangkook Jee; Zhichun Li; Haifeng Chen (ICDE, 2020)

Anomaly Detection on Web-User Behaviors Through Deep Learning. - Jiaping Gui; Zhengzhang Chen; Xiao Yu 007; Cristian Lumezanu; Haifeng Chen (SecureComm (1), 2020)

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. - Pengyang Wang; Jiaping Gui; Zhengzhang Chen; Junghwan Rhee; Haifeng Chen; Yanjie Fu (WWW, 2020)

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. - Lei Cai; Zhengzhang Chen; Chen Luo 003; Jiaping Gui; Jingchao Ni; Ding Li 001; Haifeng Chen (CIKM, 2021)

ProvIoT : Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security. - Kunal Mukherjee; Joshua Wiedemeier; Qi Wang 017; Junpei Kamimura; Junghwan John Rhee; James Wei; Zhichun Li; Xiao Yu 007; Lu-An Tang; Jiaping Gui; Kangkook Jee (ACNS (3), 2024)

HFL-AD: A Hierarchical Federated Learning Framework for Solving Data Contamination in DDoS Detection. - Haishi Huang; Jiaping Gui; Jianan Hong; Cunqing Hua (TrustCom, 2024)

FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning. - Yifeng Cai; Ziqi Zhang; Jiaping Gui; Bingyan Liu; Xiaoke Zhao; Ruoyu Li; Zhe Li; Ding Li 001 (USENIX Security Symposium, 2024)

An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning. - Yunbo Li; Jiaping Gui; Yue Wu 010 (CoRR, 2024)

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation. - Haiyang Yu; Tian Xie; Jiaping Gui; Pengyang Wang; Ping Yi; Yue Wu 010 (CoRR, 2024)

A Principled Approach for Detecting APTs in Massive Networks via Multi-Stage Causal Analytics. - Jiaping Gui; Mingjie Nie; Jinyao Guo; Futai Zou; Mati Ur Rehman; Wajih Ul Hassan (INFOCOM, 2025)

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation. - Haiyang Yu; Tian Xie; Jiaping Gui; Pengyang Wang; Pengzhou Cheng; Ping Yi; Yue Wu 010 (KDD (1), 2025)

DISTR: Detecting multi-stage IoT botnets through contextual traffic and causal analytics. - Fanchao Meng; Jiaping Gui; Futai Zou; Yunbo Li; Yue Wu (Comput. Secur., 2025)

ProvAudit: Enhance High-Level Privacy Inference Through System Provenance Data. - Ding Li 001; Jifan Xiao; Peng Jiang 007; Jiaping Gui; Dongjin Song; Yun Ma 002; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Dependable Secur. Comput., 2025)

Solving Data Contamination in DDoS Detection: A Method Based on Hierarchical Federated Learning. - Jiaping Gui; Ruiwen Ji; Haishi Huang; Jianan Hong; Cunqing Hua (IEEE Trans. Inf. Forensics Secur., 2025)

FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values. - Yunbo Li; Jiaping Gui; Yue Wu (CoRR, 2025)

Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems. - Chenglong Wang; Pujia Zheng; Jiaping Gui; Cunqing Hua; Wajih Ul Hassan (CoRR, 2025)