Yue Duan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Labeled Examples

Medical Image Segmentation

Dependency Graph

Supervised Learning

Top Venues

Publications

Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. AAAI (2024)
Jie Hu, Yue Duan, Heng Yin
Marco: A Stochastic Asynchronous Concolic Explorer. ICSE (2024)
Shenao Yan, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. CoRR (2024)
Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao
MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. AAAI (2024)
Shenao Yan, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. USENIX Security Symposium (2024)
Huanyao Rong, Yue Duan, Hang Zhang, XiaoFeng Wang, Hongbo Chen, Shengchen Duan, Shen Wang
Disassembling Obfuscated Executables with LLM. CoRR (2024)
Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. CoRR (2023)
Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. CoRR (2023)
Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Towards Semi-supervised Learning with Non-random Missing Labels. ICCV (2023)
Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Towards Semi-supervised Learning with Non-random Missing Labels. CoRR (2023)
William Edward Bodell III, Sajad Meisami, Yue Duan
Proxy Hunting: Understanding and Characterizing Proxy-based Upgradeable Smart Contracts in Blockchains. USENIX Security Symposium (2023)
Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. ECCV (30) (2022)
Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao
MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. CoRR (2022)
Yue Duan, Xin Zhao, Yu Pan, Shucheng Li, Minghao Li, Fengyuan Xu, Mu Zhang
Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications. CCS (2022)
Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. CoRR (2022)
Lei Zhao, Pengcheng Cao, Yue Duan, Heng Yin, Jifeng Xuan
Probabilistic Path Prioritization for Hybrid Fuzzing. IEEE Trans. Dependable Secur. Comput. 19 (3) (2022)
Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi
DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. CVPR (2022)
Jun Chen, Zhechao Wan, Jiacheng Zhang, Wenhua Li, Yanbing Chen, Yuebing Li, Yue Duan
Medical image segmentation and reconstruction of prostate tumor based on 3D AlexNet. Comput. Methods Programs Biomed. 200 (2021)
Yue Duan, Xuezixiang Li, Jinghan Wang, Heng Yin
DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing. NDSS (2020)
Jinghan Wang, Yue Duan, Wei Song, Heng Yin, Chengyu Song
Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing. RAID (2019)
Lei Zhao, Yue Duan, Heng Yin, Jifeng Xuan
Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing. NDSS (2019)
Yue Duan, Lian Gao, Jie Hu, Heng Yin
Automatic Generation of Non-intrusive Updates for Third-Party Libraries in Android Applications. RAID (2019)
Yue Duan, Mu Zhang, Abhishek Vasisht Bhaskar, Heng Yin, Xiaorui Pan, Tongxin Li, Xueqiang Wang, XiaoFeng Wang
Things You May Not Know About Android (Un)Packers: A Systematic Study based on Whole-System Emulation. NDSS (2018)
Xiaochen Wang, Yun Shao, Wei Tian, Yue Duan, Kun Li, Long Liu
Evaluation of GF-3 Quad-Polarized SAR Imagery for Coastal Wetland Observation. IGARSS (2018)
Xunchao Hu, Yao Cheng, Yue Duan, Andrew Henderson, Heng Yin
JSForce: A Forced Execution Engine for Malicious JavaScript Detection. CoRR (2017)
Xiaorui Pan, Xueqiang Wang, Yue Duan, XiaoFeng Wang, Heng Yin
Dark Hazard: Learning-based, Large-Scale Discovery of Hidden Sensitive Operations in Android Apps. NDSS (2017)
Xunchao Hu, Yao Cheng, Yue Duan, Andrew Henderson, Heng Yin
JSForce: A Forced Execution Engine for Malicious JavaScript Detection. SecureComm (2017)
Yue Duan, Mu Zhang, Heng Yin, Yuzhe Tang
Privacy-Preserving Offloading of Mobile App to the Public Cloud. HotCloud (2015)
Mu Zhang, Yue Duan, Qian Feng, Heng Yin
Towards Automatic Generation of Security-Centric Descriptions for Android Apps. CCS (2015)
Mu Zhang, Yue Duan, Heng Yin, Zhiruo Zhao
Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs. CCS (2014)
JooYoung Lee, Yue Duan, Jae C. Oh, Wenliang Du, Howard Blair, Lusha Wang, Xing Jin
Social Network Based Reputation Computation and Document Classification. J. Univers. Comput. Sci. 18 (4) (2012)
JooYoung Lee, Yue Duan, Jae C. Oh, Wenliang Du, Howard Blair, Lusha Wang, Xing Jin
Automatic Reputation Computation through Document Analysis: A Social Network Approach. ASONAM (2011)