Individuation Learning Components in Intelligent Education Games. - Fengyuan Xu; Zhiyi Fang (ITNG, 2007)

Gippy: Campus GIS Information System Supported by P2P. - Fengyuan Xu; Zhiyi Fang; Xiao Han (SAINT Workshops, 2007)

Experimental Study on Secure Data Collection in Vehicular Sensor Networks. - Harry Gao; Seth Utecht; Fengyuan Xu; Haodong Wang; Qun Li 001 (WASA, 2009)

Designing a Practical Access Point Association Protocol. - Fengyuan Xu; Chiu C. Tan 001; Qun Li 001; Guanhua Yan; Jie Wu 001 (INFOCOM, 2010)

High Speed Data Routing in Vehicular Sensor Networks. - Harry Gao; Seth Utecht; Gregory Patrick; George Hsieh; Fengyuan Xu; Haodong Wang; Qun Li 001 (J. Commun., 2010)

Defending against vehicular rogue APs. - Hao Han; Fengyuan Xu; Chiu C. Tan 001; Yifan Zhang 002; Qun Li 001 (INFOCOM, 2011)

IMDGuard: Securing implantable medical devices with the external wearable guardian. - Fengyuan Xu; Zhengrui Qin; Chiu C. Tan 001; Baosheng Wang; Qun Li 001 (INFOCOM, 2011)

MobiShare: Flexible privacy-preserving location sharing in mobile online social networks. - Wei Wei; Fengyuan Xu; Qun Li 001 (INFOCOM, 2012)

SybilDefender: Defend against sybil attacks in large social networks. - Wei Wei; Fengyuan Xu; Chiu C. Tan 001; Qun Li 001 (INFOCOM, 2012)

Fast Mencius: Mencius with low commit latency. - Wei Wei; Harry Tian Gao; Fengyuan Xu; Qun Li 001 (INFOCOM, 2013)

Extracting secret key from wireless link dynamics in vehicular environments. - Xiaojun Zhu 001; Fengyuan Xu; Edmund Novak; Chiu C. Tan 001; Qun Li 001; Guihai Chen (INFOCOM, 2013)

Optimizing background email sync on smartphones. - Fengyuan Xu; Yunxin Liu 001; Thomas Moscibroda; Ranveer Chandra; Long Jin; Yongguang Zhang; Qun Li 001 (MobiSys, 2013)

V-edge: Fast Self-constructive Power Modeling of Smartphones Based on Battery Voltage Dynamics. - Fengyuan Xu; Yunxin Liu 001; Qun Li 001; Yongguang Zhang (NSDI, 2013)

SybilDefender: A Defense Mechanism for Sybil Attacks in Large Social Networks. - Wei Wei; Fengyuan Xu; Chiu C. Tan 001; Qun Li 001 (IEEE Trans. Parallel Distributed Syst., 2013)

SmartAssoc: Decentralized Access Point Selection Algorithm to Improve Throughput. - Fengyuan Xu; Xiaojun Zhu 001; Chiu C. Tan 001; Qun Li 001; Guanhua Yan; Jie Wu 001 (IEEE Trans. Parallel Distributed Syst., 2013)

Data Mining in Time Series: Current Study and Future Trend. - Tan Yan; Liudmila Ulanova; Ye Ouyang; Fengyuan Xu (J. Comput. Sci., 2014)

VR-Defender: Self-Defense Against Vehicular Rogue APs for Drive-Thru Internet. - Hao Han; Fengyuan Xu; Chiu C. Tan 001; Yifan Zhang 002; Qun Li 001 (IEEE Trans. Veh. Technol., 2014)

VProof: Lightweight Privacy-Preserving Vehicle Location Proofs. - Yifan Zhang 002; Chiu C. Tan 001; Fengyuan Xu; Hao Han; Qun Li 001 (IEEE Trans. Veh. Technol., 2015)

High Fidelity Data Reduction for Big Data Security Dependency Analyses. - Zhang Xu; Zhenyu Wu 003; Zhichun Li; Kangkook Jee; Junghwan Rhee; Xusheng Xiao; Fengyuan Xu; Haining Wang 001; Guofei Jiang (CCS, 2016)

Using Wireless Link Dynamics to Extract a Secret Key in Vehicular Scenarios. - Xiaojun Zhu 001; Fengyuan Xu; Edmund Novak; Chiu C. Tan 001; Qun Li 001; Guihai Chen (IEEE Trans. Mob. Comput., 2017)

NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis. - Yutao Tang; Ding Li 001; Zhichun Li; Mu Zhang 001; Kangkook Jee; Xusheng Xiao; Zhenyu Wu 003; Junghwan Rhee; Fengyuan Xu; Qun Li 001 (CCS, 2018)

Learning from Differentially Private Neural Activations with Edge Computing. - Yunlong Mao; Shanhe Yi; Qun Li 001; Jinghao Feng; Fengyuan Xu; Sheng Zhong 002 (SEC, 2018)

MobiCrowd: Mobile Crowdsourcing on Location-based Social Networks. - Yulong Tian; Wei Wei; Qun Li 001; Fengyuan Xu; Sheng Zhong 002 (INFOCOM, 2018)

Internet Protocol Cameras with No Password Protection: An Empirical Investigation. - Haitao Xu 002; Fengyuan Xu; Bo Chen (PAM, 2018)

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (USENIX ATC, 2018)

Location privacy in public access points positioning: An optimization and geometry approach. - Yunlong Mao; Yuan Zhang 004; Xiaoyan Zhang; Fengyuan Xu; Sheng Zhong 002 (Comput. Secur., 2018)

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2018)

A Query Tool for Efficiently Investigating Risky Software Behaviors. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (CoRR, 2018)

A Geo-Indistinguishable Location Perturbation Mechanism for Location-Based Services Supporting Frequent Queries. - Jingyu Hua; Wei Tong; Fengyuan Xu; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2018)

DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps. - Shengqu Xi; Shao Yang; Xusheng Xiao; Yuan Yao 001; Yayuan Xiong; Fengyuan Xu; Haoyu Wang 001; Peng Gao 008; Zhuotao Liu; Feng Xu 007; Jian Lu 001 (CCS, 2019)

Broken Relationship of Mobile User Intentions and Permission Control of Shared System Resources. - Hao Wu 067; Zheng Qin; Xuejin Tian; Edward Sun; Fengyuan Xu; Sheng Zhong 002 (DSC, 2019)

Automated Finite State Machine Extraction. - Yongheng Chen; Linhai Song; Xinyu Xing 001; Fengyuan Xu; Wenfei Wu (FEAST@CCS, 2019)

Privacy-Preserving Data Integrity Verification in Mobile Edge Computing. - Wei Tong; Bingbing Jiang 002; Fengyuan Xu; Qun Li 001; Sheng Zhong 002 (ICDCS, 2019)

Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX. - Taegyeong Lee; Zhiqi Lin; Saumay Pushp; Caihua Li; Yunxin Liu 001; Youngki Lee 001; Fengyuan Xu; Chenren Xu; Lintao Zhang; Junehwa Song (MobiCom, 2019)

secGAN: A Cycle-Consistent GAN for Securely-Recoverable Video Transformation. - Hao Wu 067; Jinghao Feng; Xuejin Tian; Fengyuan Xu; Yunxin Liu 001; XiaoFeng Wang 001; Sheng Zhong 002 (HotEdgeVideo@MobiCom, 2019)

Trojan Attack on Deep Generative Models in Autonomous Driving. - Shaohua Ding; Yulong Tian; Fengyuan Xu; Qun Li 001; Sheng Zhong 002 (SecureComm (1), 2019)

A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. - Peng Gao 008; Xusheng Xiao; Zhichun Li; Kangkook Jee; Fengyuan Xu; Sanjeev R. Kulkarni; Prateek Mittal (Proc. VLDB Endow., 2019)

Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. - Shucheng Li; Lingfei Wu 001; Shiwei Feng 002; Fangli Xu; Fengyuan Xu; Sheng Zhong 002 (EMNLP (Findings), 2020)

Detecting GAN-based Privacy Attack in Distributed Learning. - Yayuan Xiong; Fengyuan Xu; Sheng Zhong 002 (ICC, 2020)

Exploiting Adversarial Examples to Drain Computational Resources on Mobile Deep Learning Systems. - Han Gao; Yulong Tian; Rongchun Yao; Fengyuan Xu; Xinyi Fu; Sheng Zhong 002 (SEC, 2020)

Efficient Architecture Paradigm for Deep Learning Inference as a Service. - Jin Yu; Xiaopeng Ke; Fengyuan Xu; Hao Huang (IPCCC, 2020)

EMO: real-time emotion recognition from single-eye images for resource-constrained eyewear devices. - Hao Wu 067; Jinghao Feng; Xuejin Tian; Edward Sun; Yunxin Liu 001; Bo Dong; Fengyuan Xu; Sheng Zhong 002 (MobiSys, 2020)

Escaping Backdoor Attack Detection of Deep Learning. - Yayuan Xiong; Fengyuan Xu; Sheng Zhong 002; Qun Li 001 (SEC, 2020)

Revisiting Attacks and Defenses in Connected and Autonomous Vehicles. - Ziyan Fang; Weijun Zhang; Zongfei Li; Huaao Tang; Hao Han; Fengyuan Xu (SpaCCS, 2020)

Improving Deep Neural Network Robustness with Siamese Empowered Adversarial Training. - Yu Zhu; Zongfei Li; Fengyuan Xu; Sheng Zhong 002 (SpaCCS, 2020)

A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. - Peng Gao 008; Fei Shao; Xiaoyuan Liu; Xusheng Xiao; Haoyuan Liu; Zheng Qin; Fengyuan Xu; Prateek Mittal; Sanjeev R. Kulkarni; Dawn Song (ICDE, 2021)

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. - Peng Gao 008; Fei Shao; Xiaoyuan Liu; Xusheng Xiao; Zheng Qin; Fengyuan Xu; Prateek Mittal; Sanjeev R. Kulkarni; Dawn Song (ICDE, 2021)

Privacy-Preserving Optimal Recovering for the Nearly Exhausted Payment Channels. - Minze Xu; Yuan Zhang 004; Fengyuan Xu; Sheng Zhong 002 (IWQoS, 2021)

AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs. - Manni Wang; Shaohua Ding; Ting Cao; Yunxin Liu 001; Fengyuan Xu (MobiCom, 2021)

PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation. - Hao Wu 067; Xuejin Tian; Minghao Li 003; Yunxin Liu 001; Ganesh Ananthanarayanan; Fengyuan Xu; Sheng Zhong 002 (MobiCom, 2021)

DAPter: Preventing User Data Abuse in Deep Learning Inference Services. - Hao Wu 067; Xuejin Tian; Yuhang Gong; Xing Su; Minghao Li 003; Fengyuan Xu (WWW, 2021)

On developing piecewise rational mapping with fine regulation capability for WENO schemes. - Qin Li 004; Pan Yan; Xiao Huang; Liuqing Yang; Fengyuan Xu (CoRR, 2021)

App Developer Centric Trusted Execution Environment. - Lizhi Sun; Shuocheng Wang; Hao Wu 067; Yuhang Gong; Fengyuan Xu; Yunxin Liu 001; Hao Han; Sheng Zhong 002 (CoRR, 2021)

Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection. - Shucheng Li; Fengyuan Xu; Runchuan Wang; Sheng Zhong 002 (CoRR, 2021)

Quasi-linear analysis of dispersion relation preservation for nonlinear schemes. - Fengyuan Xu; Pan Yan; Qin Li 004; Yancheng You (CoRR, 2021)

On Developing Piecewise Rational Mapping with Fine Regulation Capability for WENO Schemes. - Qin Li 004; Pan Yan; Xiao Huang; Liuqing Yang; Fengyuan Xu; Yancheng You (J. Sci. Comput., 2021)

Towards Thwarting Template Side-Channel Attacks in Secure Cloud Deduplications. - Yuan Zhang 004; Yunlong Mao; Minze Xu; Fengyuan Xu; Sheng Zhong 002 (IEEE Trans. Dependable Secur. Comput., 2021)

Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications. - Yue Duan; Xin Zhao; Yu Pan; Shucheng Li; Minghao Li 003; Fengyuan Xu; Mu Zhang 001 (CCS, 2022)

Towards Practical and Efficient Long Video Summary. - Xiaopeng Ke; Boyu Chang; Hao Wu 067; Fengyuan Xu; Sheng Zhong 002 (ICASSP, 2022)

Privacy-Preserving and Robust Federated Deep Metric Learning. - Yulong Tian; Xiaopeng Ke; Zeyi Tao; Shaohua Ding; Fengyuan Xu; Qun Li 001; Hao Han; Sheng Zhong 002; Xinyi Fu (IWQoS, 2022)

DIComP: Lightweight Data-Driven Inference of Binary Compiler Provenance with High Accuracy. - Ligeng Chen; Zhongling He; Hao Wu 067; Fengyuan Xu; Yi Qian; Bing Mao 001 (SANER, 2022)

Automation Slicing and Testing for in-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li 003; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (CoRR, 2022)

vTrust: Remotely Executing Mobile Apps Transparently With Local Untrusted OS. - Yutao Tang; Zhengrui Qin; Zhiqiang Lin 001; Yue Li 002; Shanhe Yi; Fengyuan Xu; Qun Li 001 (IEEE Trans. Computers, 2022)

Stealthy Backdoors as Compression Artifacts. - Yulong Tian; Fnu Suya; Fengyuan Xu; David Evans 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Manipulating Transfer Learning for Property Inference. - Yulong Tian; Fnu Suya; Anshuman Suri; Fengyuan Xu; David Evans 001 (CVPR, 2023)

GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side. - Hao Wu 067; Bo Yang; Xiaopeng Ke; Siyi He; Fengyuan Xu; Sheng Zhong 002 (ICASSP, 2023)

SAPPX: Securing COTS Binaries with Automatic Program Partitioning for Intel SGX. - Jiawei Huang; Hao Han; Fengyuan Xu; Bing Chen 002 (ISSRE, 2023)

SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection. - Shucheng Li; Runchuan Wang; Hao Wu 067; Sheng Zhong 002; Fengyuan Xu (ACM Multimedia, 2023)

ShuffleCAN: Enabling Moving Target Defense for Attack Mitigation on Automotive CAN. - Huiping Qian; Hao Han; Xiaojun Zhu 001; Fengyuan Xu (MSN, 2023)

Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. - Shucheng Li; Boyu Chang; Bo Yang; Hao Wu 067; Sheng Zhong 002; Fengyuan Xu (SIGIR, 2023)

RF-Badge: Vital Sign-Based Authentication via RFID Tag Array on Badges. - Jingyi Ning; Lei Xie 004; Chuyu Wang; Yanling Bu; Fengyuan Xu; Da-Wei Zhou 001; Sanglu Lu; Baoliu Ye (IEEE Trans. Mob. Comput., 2023)

Privacy-Preserving Data Integrity Verification for Secure Mobile Edge Storage. - Wei Tong; Wenjie Chen; Bingbing Jiang 002; Fengyuan Xu; Qun Li 001; Sheng Zhong 002 (IEEE Trans. Mob. Comput., 2023)

LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps. - Lizhi Sun; Shuocheng Wang; Hao Wu 067; Yuhang Gong; Fengyuan Xu; Yunxin Liu 001; Hao Han; Sheng Zhong 002 (IEEE Trans. Mob. Comput., 2023)

MuSR: Multi-Scale 3D Scenes Reconstruction based on Monocular Video. - Han Gao; Hao Wu 067; Peiwen Dong; Yixin Xu 003; Fengyuan Xu; Sheng Zhong 002 (ICASSP, 2024)

VIDAR: Data Quality Improvement for Monocular 3D Reconstruction through In-situ Visual Interaction. - Han Gao; Yating Liu; Fang Cao; Hao Wu 067; Fengyuan Xu; Sheng Zhong 002 (ICRA, 2024)

REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers. - Minghui Li; Yang Li 103; Hao Han; Xiaopeng Ke; Tongyu Wang; Fengyuan Xu; Liming Fang 001 (ISSRE, 2024)

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation. - Hao Wu 067; Likun Zhang; Shucheng Li; Fengyuan Xu; Sheng Zhong 002 (ACM Multimedia, 2024)

TTFL: Towards Trustworthy Federated Learning with Arm Confidential Computing. - Lizhi Sun; Jingzhou Zhu; Boyu Chang; Yixin Xu 003; Bo Yang; Hao Wu 067; Fengyuan Xu; Sheng Zhong 002 (TrustCom, 2024)

Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine? - Likun Zhang; Hao Wu 067; Lingcui Zhang; Fengyuan Xu; Jin Cao 001; Fenghua Li; Ben Niu 001 (CoRR, 2024)

Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling. - Hao Wu; Donglin Bai; Shiqi Jiang; Qianxi Zhang; Yifan Yang; Ting Cao; Fengyuan Xu (CoRR, 2024)

Attention Is All You Need for LLM-based Code Vulnerability Localization. - Yue Li; Xiao Li; Hao Wu 067; Yue Zhang 025; Xiuzhen Cheng 001; Sheng Zhong 002; Fengyuan Xu (CoRR, 2024)

FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg. - ShiMao Xu; Xiaopeng Ke; Xing Su; Shucheng Li; Hao Wu 067; Sheng Zhong 002; Fengyuan Xu (CoRR, 2024)

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2024)

RescQR: Enabling Reliable Data Recovery in Screen-Camera Communication System. - Hao Han; Kunming Xie; Tongyu Wang; Xiaojun Zhu 001; Yanchao Zhao; Fengyuan Xu (IEEE Trans. Mob. Comput., 2024)

Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection. - Shucheng Li; Jingzhou Zhu; Boyu Chang; Hao Wu 067; Fengyuan Xu; Sheng Zhong 002 (ACM Trans. Knowl. Discov. Data, 2024)

Make a Feint to the East While Attacking in the West: Blinding LLM-Based Code Auditors with Flashboom Attacks. - Xiao Li; Yue Li; Hao Wu 067; Yue Zhang 025; Kaidi Xu; Xiuzhen Cheng 001; Sheng Zhong 002; Fengyuan Xu (SP, 2025)

DiSCo: Towards Decompiling EVM Bytecode to Source Code using Large Language Models. - Xing Su; Hanzhong Liang; Hao Wu 067; Ben Niu 001; Fengyuan Xu; Sheng Zhong 002 (Proc. ACM Softw. Eng., 2025)

OPRE: Towards Better Availability of PCNs Through Recovering. - Minze Xu; Yue Li; Chenglu Shi; Yuan Zhang 004; Yongchuan Niu; Fengyuan Xu; Sheng Zhong 002 (IEEE Trans. Dependable Secur. Comput., 2025)

UTRDCL: Stealthy DCL-Based Obfuscation and Its Attacks and Defenses in Android. - Xin Zhao; Hao Han; Hao Wu 067; Sheng Zhong 002; Fengyuan Xu (IEEE Trans. Inf. Forensics Secur., 2025)

DeepVMUnProtect: Neural Network-Based Recovery of VM-Protected Android Apps for Semantics-Aware Malware Detection. - Xin Zhao; Mu Zhang 001; Xiaopeng Ke; Yu Pan; Yue Duan; Sheng Zhong 002; Fengyuan Xu (IEEE Trans. Inf. Forensics Secur., 2025)

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask. - Yue Li; Xiao Li; Hao Wu 067; Minghui Xu 001; Yue Zhang 025; Xiuzhen Cheng 001; Fengyuan Xu; Sheng Zhong 002 (CoRR, 2025)

When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs. - Yue Li; Xiao Li; Hao Wu 067; Yue Zhang 025; Fengyuan Xu; Xiuzhen Cheng 001; Sheng Zhong 002 (CoRR, 2025)