| 2026 | AAAI | Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA. | Zhan Fa, Yue Duan, Jian Zhang, Lei Qi, Wanqi Yang, Yinghuan Shi |
| 2026 | DSN | PDLogger: Automatic Multi-log Generation for Practical Software Development. | Shengchen Duan, Yihua Xu, Shen Wang, Sheng Zhang, Yue Duan |
| 2026 | DSN | Large-Scale Security Analysis of Multi-Token Smart Contracts: Uncovering Hidden Flaws in Batch Transfers. | Ashok Kasthuri, Sajad Meisami, Lingxiao Jiang, Binghui Wang, Yue Duan |
| 2025 | ICCV | Divide-And-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-Supervised Continual Learning. | Yue Duan, Taicai Chen, Lei Qi, Yinghuan Shi |
| 2025 | WWW | SigScope: Detecting and Understanding Off-Chain Message Signing-related Vulnerabilities in Decentralized Applications. | Sajad Meisami, Hugo Dabadie, Song Li, Yuzhe Tang, Yue Duan |
| 2024 | AAAI | PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. | Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao |
| 2024 | AAAI | Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. | Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2024 | ICSE | Marco: A Stochastic Asynchronous Concolic Explorer. | Jie Hu, Yue Duan, Heng Yin |
| 2024 | NDSS | SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing. | Lian Gao, Yu Qu, Sheng Yu, Yue Duan, Heng Yin |
| 2023 | ICCV | Towards Semi-supervised Learning with Non-random Missing Labels. | Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2022 | CCS | Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications. | Yue Duan, Xin Zhao, Yu Pan, Shucheng Li, Minghao Li, Fengyuan Xu, Mu Zhang |
| 2022 | CVPR | DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. | Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi |
| 2022 | ECCV | RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. | Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi |
| 2020 | NDSS | DeepBinDiff: Learning Program-Wide Code Representations for Binary Diffing. | Yue Duan, Xuezixiang Li, Jinghan Wang, Heng Yin |
| 2019 | NDSS | Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing. | Lei Zhao, Yue Duan, Heng Yin, Jifeng Xuan |
| 2019 | RAID | Automatic Generation of Non-intrusive Updates for Third-Party Libraries in Android Applications. | Yue Duan, Lian Gao, Jie Hu, Heng Yin |
| 2019 | RAID | Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing. | Jinghan Wang, Yue Duan, Wei Song, Heng Yin, Chengyu Song |
| 2018 | IGARSS | Evaluation of GF-3 Quad-Polarized SAR Imagery for Coastal Wetland Observation. | Xiaochen Wang, Yun Shao, Wei Tian, Yue Duan, Kun Li, Long Liu |
| 2018 | NDSS | Things You May Not Know About Android (Un)Packers: A Systematic Study based on Whole-System Emulation. | Yue Duan, Mu Zhang, Abhishek Vasisht Bhaskar, Heng Yin, Xiaorui Pan, Tongxin Li, Xueqiang Wang, XiaoFeng Wang |
| 2017 | NDSS | Dark Hazard: Learning-based, Large-Scale Discovery of Hidden Sensitive Operations in Android Apps. | Xiaorui Pan, Xueqiang Wang, Yue Duan, XiaoFeng Wang, Heng Yin |
| 2017 | SecureComm | JSForce: A Forced Execution Engine for Malicious JavaScript Detection. | Xunchao Hu, Yao Cheng, Yue Duan, Andrew Henderson, Heng Yin |
| 2015 | CCS | Towards Automatic Generation of Security-Centric Descriptions for Android Apps. | Mu Zhang, Yue Duan, Qian Feng, Heng Yin |
| 2014 | CCS | Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs. | Mu Zhang, Yue Duan, Heng Yin, Zhiruo Zhao |