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)

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)

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)

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)

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)

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

AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method. - Ligeng Chen; Zhongling He; Hao Wu 067; Yuhang Gong; Bing Mao 001 (TrustCom, 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)

APter: Privacy Enhancement in Deep Learning Services following Principle of Least Privilege. - Hao Wu 067 (ACM TUR-C, 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)

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)

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)

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)

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)

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)

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)

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)

Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things. - Ye Cheng; Mingliang Xu 001; Yue Zhang 025; Kun Li; Hao Wu 067; Yechao Zhang; Shaoyong Guo; Wangjie Qiu; Dongxiao Yu; Xiuzhen Cheng 001 (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)