Ding Li

According to our database, Ding Li authored at least 60 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

<i>Adonis</i>: Practical and Efficient Control Flow Recovery through OS-level Traces.

Xuanzhe Liu, Chengxu Yang, Ding Li, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen

ACM Trans. Softw. Eng. Methodol., January, 2024

2023

<i>FaaSLight</i>: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing.

Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin

ACM Trans. Softw. Eng. Methodol., September, 2023

NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation.

Shaofei Li, Feng Dong, Xusheng Xiao, Haoyu Wang, Fei Shao, Jiedong Chen, Yao Guo, Xiangqun Chen, Ding Li

CoRR, 2023

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML.

Ziqi Zhang, Chen Gong, Yifeng Cai, Yuanyuan Yuan, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen

CoRR, 2023

Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users.

Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the ACM Web Conference 2023, 2023

Towards Efficient Hugepage-aware Memory Deduplication.

Ruizhe Huang, Ding Li, Yao Guo, Xiangqun Chen, Yuntao Liu, Yuxin Ren, Ning Jia, Xinwei Hu

Proceedings of the 4th Workshop on Resource Disaggregation and Serverless, 2023

Auditing Frameworks Need Resource Isolation: A Systematic Study on the Super Producer Threat to System Auditing and Its Mitigation.

Peng Jiang, Ruizhe Huang, Ding Li, Yao Guo, Xiangqun Chen, Jianhai Luan, Yuxin Ren, Xinwei Hu

Proceedings of the 32nd USENIX Security Symposium, 2023

Fuzzing the Latest NTFS in Linux with Papora: An Empirical Study.

Edward Lo, Ningyu He, Yuejie Shi, Jiajia Xu, Chiachih Wu, Ding Li, Yao Guo

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

Shared Account Problem in Super Apps.

Yifeng Cai, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Superapps, 2023

How Android Apps Break the Data Minimization Principle: An Empirical Study.

Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Eunomia: Enabling User-Specified Fine-Grained Search in Symbolically Executing WebAssembly Binaries.

Ningyu He, Zhehao Zhao, Jikai Wang, Yubin Hu, Shengjian Guo, Haoyu Wang, Guangtai Liang, Ding Li, Xiangqun Chen, Yao Guo

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching.

Shaokun Zhang, Linna Wu, Yuanchun Li, Ziqi Zhang, Hanwen Lei, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

APIMind: API-driven Assessment of Runtime Description-to-permission Fidelity in Android Apps.

Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing.

Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

SymGX: Detecting Cross-boundary Pointer Vulnerabilities of SGX Applications via Static Symbolic Execution.

Yuanpeng Wang, Ziqi Zhang, Ningyu He, Zhineng Zhong, Shengjian Guo, Qinkun Bao, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Put Your Memory in Order: Efficient Domain-based Memory Isolation for WASM Applications.

Hanwen Lei, Ziqi Zhang, Shaokun Zhang, Peng Jiang, Zhineng Zhong, Ningyu He, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools.

Feng Dong, Shaofei Li, Peng Jiang, Ding Li, Haoyu Wang, Liangyi Huang, Xusheng Xiao, Jiedong Chen, Xiapu Luo, Yao Guo, Xiangqun Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Towards OS Heterogeneity Aware Cluster Management for HPC.

Zhida An, Ding Li, Yao Guo, Guijin Gao, Yuxin Ren, Ning Jia, Xinwei Hu

Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems, 2023

2022

LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing.

Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin, Xuanzhe Liu

CoRR, 2022

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing.

Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

DistFL: Distribution-aware Federated Learning for Mobile Scenarios.

Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

SIGL: Securing Software Installations Through Deep Graph Learning.

Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James W. Mickens, Margo I. Seltzer, Haifeng Chen

Proceedings of the 30th USENIX Security Symposium, 2021

SEAL: Storage-efficient Causality Analysis on Enterprise Logs with Query-friendly Compression.

Peng Fei, Zhou Li, Zhiying Wang, Xiao Yu, Ding Li, Kangkook Jee

Proceedings of the 30th USENIX Security Symposium, 2021

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.

Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Temporal Context-Aware Representation Learning for Question Routing.

Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.

Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

APTrace: A Responsive System for Agile Enterprise Level Causality Analysis.

Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection.

Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage.

Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, Adam Bates

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

Heterogeneous Graph Matching Networks.

Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu

CoRR, 2019

A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security.

Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal

CoRR, 2019

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.

Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Countering Malicious Processes with Process-DNS Association.

Suphannee Sivakorn, Kangkook Jee, Yixin Sun, Lauri Korts-Pärn, Zhichun Li, Cristian Lumezanu, Zhenyu Wu, Lu-An Tang, Ding Li

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage.

Wajih Ul Hassan, Shengjian Guo, Ding Li, Zhengzhang Chen, Kangkook Jee, Zhichun Li, Adam Bates

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Heterogeneous Graph Matching Networks for Unknown Malware Detection.

Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Progressive processing of system-behavioral query.

Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, Haifeng Chen

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

Deep Program Reidentification: A Graph Neural Network Solution.

Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu

CoRR, 2018

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection.

Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal

Proceedings of the 27th USENIX Security Symposium, 2018

Towards a Timely Causality Analysis for Enterprise Security.

Yushan Liu, Mu Zhang, Ding Li, Kangkook Jee, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Prateek Mittal

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Remove RATs from your code: automated optimization of resource inefficient database writes for mobile applications.

Yingjun Lyu, Ding Li, William G. J. Halfond

Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2018

NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis.

Yutao Tang, Ding Li, Zhichun Li, Mu Zhang, Kangkook Jee, Xusheng Xiao, Zhenyu Wu, Junghwan Rhee, Fengyuan Xu, Qun Li

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Detecting display energy hotspots in Android apps.

Mian Wan, Yuchen Jin, Ding Li, Jiaping Gui, Sonal Mahajan, William G. J. Halfond

Softw. Test. Verification Reliab., 2017

Detecting Low Rating Android Apps Before They Have Reached the Market.

Ding Li, Dongjin Song

CoRR, 2017

2016

Automated energy optimization of HTTP requests for mobile applications.

Ding Li, Yingjun Lyu, Jiaping Gui, William G. J. Halfond

Proceedings of the 38th International Conference on Software Engineering, 2016

Lightweight measurement and estimation of mobile ad energy consumption.

Jiaping Gui, Ding Li, Mian Wan, William G. J. Halfond

Proceedings of the 5th International Workshop on Green and Sustainable Software, 2016

2015

Optimizing display energy consumption for hybrid Android apps (invited talk).

Ding Li, Angelica Huyen Tran, William G. J. Halfond

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile, 2015

Nyx: a display energy optimizer for mobile web apps.

Ding Li, Angelica Huyen Tran, William G. J. Halfond

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

String analysis for Java and Android applications.

Ding Li, Yingjun Lyu, Mian Wan, William G. J. Halfond

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Optimizing energy of HTTP requests in Android applications.

Ding Li, William G. J. Halfond

Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile, 2015

Detecting Display Energy Hotspots in Android Apps.

Mian Wan, Yuchen Jin, Ding Li, William G. J. Halfond

Proceedings of the 8th IEEE International Conference on Software Testing, 2015

Domino: understanding wide-area, asynchronous event causality in web applications.

Ding Li, James Mickens, Suman Nath, Lenin Ravindranath

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014

Integrated energy-directed test suite optimization.

Ding Li, Yuchen Jin, Cagri Sahin, James Clause, William G. J. Halfond

Proceedings of the International Symposium on Software Testing and Analysis, 2014

An Empirical Study of the Energy Consumption of Android Applications.

Ding Li, Shuai Hao, Jiaping Gui, William G. J. Halfond

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

Making web applications more energy efficient for OLED smartphones.

Ding Li, Angelica Huyen Tran, William G. J. Halfond

Proceedings of the 36th International Conference on Software Engineering, 2014

An investigation into energy-saving programming practices for Android smartphone app development.

Ding Li, William G. J. Halfond

Proceedings of the 3rd International Workshop on Green and Sustainable Software, 2014

2013

SIF: a selective instrumentation framework for mobile applications.

Shuai Hao, Ding Li, William G. J. Halfond, Ramesh Govindan

Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Calculating source line level energy information for Android applications.

Ding Li, Shuai Hao, William G. J. Halfond, Ramesh Govindan

Proceedings of the International Symposium on Software Testing and Analysis, 2013

Estimating mobile application energy consumption using program analysis.

Shuai Hao, Ding Li, William G. J. Halfond, Ramesh Govindan

Proceedings of the 35th International Conference on Software Engineering, 2013

Energy-directed test suite optimization.

Ding Li, Cagri Sahin, James Clause, William G. J. Halfond

Proceedings of the 2nd International Workshop on Green and Sustainable Software, 2013

2012

Estimating Android applications' CPU energy usage via bytecode profiling.

Shuai Hao, Ding Li, William G. J. Halfond, Ramesh Govindan

Proceedings of the First International Workshop on Green and Sustainable Software, 2012