POSTER: PatchGen: Towards Automated Patch Detection and Generation for 1-Day Vulnerabilities. - Tianyue Luo; Chen Ni; Qing Han; Mutian Yang; JingZheng Wu; Yanjun Wu (CCS, 2015)

POSTER: biTheft: Stealing Your Secrets by Bidirectional Covert Channel Communication with Zero-Permission Android Application. - JingZheng Wu; Yanjun Wu; Mutian Yang; Zhifei Wu; Tianyue Luo; Yongji Wang 002 (CCS, 2015)

PACS: Pemission abuse checking system for android applictions based on review mining. - Jingzheng Wu; Mutian Yang; Tianyue Luo (DSC, 2017)

Droidrevealer: Automatically detecting Mysterious Codes in Android applications. - Xinyin Zhang; Yuanye Cao; Mutian Yang; Jingzheng Wu; Tianyue Luo; Yueqin Liu (DSC, 2017)

Exception beyond Exception: Crashing Android System by Trapping in "Uncaught Exception". - JingZheng Wu; Shen Liu; Shouling Ji; Mutian Yang; Tianyue Luo; Yanjun Wu; Yongji Wang 002 (ICSE-SEIP, 2017)

MAD-API: Detection, Correction and Explanation of API Misuses in Distributed Android Applications. - Tianyue Luo; Jingzheng Wu; Mutian Yang; Sizhe Zhao; Yanjun Wu; Yongji Wang 002 (AIMS, 2018)

Pre-Patch: Find Hidden Threats in Open Software Based on Machine Learning Method. - Mutian Yang; Jingzheng Wu; Shouling Ji; Tianyue Luo; Yanjun Wu (SERVICES, 2018)

VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities. - Xu Duan; Jingzheng Wu; Shouling Ji; Zhiqing Rui; Tianyue Luo; Mutian Yang; Yanjun Wu (IJCAI, 2019)

Information Leakage by Model Weights on Federated Learning. - Xiaoyun Xu; Jingzheng Wu; Mutian Yang; Tianyue Luo; Xu Duan; Weiheng Li; Yanjun Wu; Bin Wu (PPMLP@CCS, 2020)

PassEye: Sniffing Your Password from HTTP Sessions by Deep Neural Network. - Zhiqing Rui; Jingzheng Wu; Yanjie Shao; Tianyue Luo; Mutian Yang; Yanjun Wu; Bin Wu (CNCERT, 2020)

MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning. - Xu Duan; Jingzheng Wu; Mengnan Du; Tianyue Luo; Mutian Yang; Yanjun Wu (ISSRE Workshops, 2021)

A Large-Scale Study on Vulnerabilities in Linux using Vtopia. - Yanjie Shao; Yanjun Wu; Mutian Yang; Tianyue Luo; Jingzheng Wu (QRS Companion, 2021)

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art. - Xiang Ling 001; Lingfei Wu 001; Jiangyu Zhang; Zhenqing Qu; Wei Deng; Xiang Chen 017; Chunming Wu 001; Shouling Ji; Tianyue Luo; Jingzheng Wu; Yanjun Wu (CoRR, 2021)

AI-CTO: Knowledge graph for automated and dependable software stack solution. - Xiaoyun Xu; Jingzheng Wu; Mutian Yang; Tianyue Luo; Qianru Meng; Weiheng Li; Yanjun Wu (J. Intell. Fuzzy Syst., 2021)

A Multi-feature Fusion Method with Attention Mechanism for Long Text Classification. - Tianyue Luo; Yuqi Liu; Tianning Li (ICCDA, 2022)

Cross Platform API Mappings based on API Documentation Graphs. - Yanjie Shao; Tianyue Luo; Xiang Ling 001; Limin Wang; Senwen Zheng (QRS, 2022)

Research on the Dynamic Evolution of the Landscape Pattern in the Urban Fringe Area of Wuhan from 2000 to 2020. - Yan Long 003; Shiqi Luo; Xi Liu; Tianyue Luo; Xuejun Liu (ISPRS Int. J. Geo Inf., 2022)

Generative Diffusion Prior for Unified Image Restoration and Enhancement. - Ben Fei; Zhaoyang Lyu; Liang Pan; Junzhe Zhang 002; Weidong Yang 001; Tianyue Luo; Bo Zhang 069; Bo Dai 002 (CVPR, 2023)

Automatic Program Repair via Learning Edits on Sequence Code Property Graph. - Xiaoyu Li; Jingzheng Wu; Xiang Ling 001; Tianyue Luo; Yanjun Wu (ICPADS, 2023)

An Empirical Study of License Conflict in Free and Open Source Software. - Xing Cui; Jingzheng Wu; Yanjun Wu; Xu Wang; Tianyue Luo; Sheng Qu; Xiang Ling 001; Mutian Yang (ICSE-SEIP, 2023)

A Needle is an Outlier in a Haystack: Hunting Malicious PyPI Packages with Code Clustering. - Wentao Liang; Xiang Ling 001; Jingzheng Wu; Tianyue Luo; Yanjun Wu (ASE, 2023)

Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey. - Ben Fei; Weidong Yang 001; Liwen Liu; Tianyue Luo; Rui Zhang 103; Yixuan Li; Ying He 001 (CoRR, 2023)

Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art. - Xiang Ling 001; Lingfei Wu 001; Jiangyu Zhang; Zhenqing Qu; Wei Deng; Xiang Chen 017; Yaguan Qian; Chunming Wu 001; Shouling Ji; Tianyue Luo; Jingzheng Wu; Yanjun Wu (Comput. Secur., 2023)

VulDL: Tree-based and Graph-based Neural Networks for Vulnerability Detection and Localization. - Jingzheng Wu; Xiang Ling 001; Xu Duan; Tianyue Luo; Mutian Yang (EASE, 2024)

Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain. - Jianhao Fu; Xiang Ling 001; Yaguan Qian; Changjiang Li; Tianyue Luo; Jingzheng Wu (ICME, 2024)

When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done? - Yuxiao Chen 009; Jingzheng Wu; Xiang Ling 001; Changjiang Li; Zhiqing Rui; Tianyue Luo; Yanjun Wu (ICSE Companion, 2024)

APP-Miner: Detecting API Misuses via Automatically Mining API Path Patterns. - Jiasheng Jiang; Jingzheng Wu; Xiang Ling 001; Tianyue Luo; Sheng Qu; Yanjun Wu (SP, 2024)

A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild. - Xiang Ling 001; Zhiyu Wu; Bin Wang 062; Wei Deng; Jingzheng Wu; Shouling Ji; Tianyue Luo; Yanjun Wu (USENIX Security Symposium, 2024)

RefGaussian: Disentangling Reflections from 3D Gaussian Splatting for Realistic Rendering. - Rui Zhang 103; Tianyue Luo; Weidong Yang 001; Ben Fei; Jingyi Xu; Qingyuan Zhou; Keyi Liu; Ying He 001 (CoRR, 2024)

Interpretation of Hot Spots in Wuhan New Town Development and Analysis of Influencing Factors Based on Spatio-Temporal Pattern Mining. - Haijuan Zhao; Yan Long 003; Nina Wang; Shiqi Luo; Xi Liu; Tianyue Luo; Guoen Wang; Xuejun Liu (ISPRS Int. J. Geo Inf., 2024)

Reinforcement-learning-based Adversarial Attacks Against Vulnerability Detection Models. - Siran Chen; Jingzheng Wu; Xiang Ling 001; Tianyue Luo; Jiayu Liu; Yanjun Wu (Int. J. Softw. Informatics, 2024)

Exploring Large Language Models for Analyzing Open Source License Conflicts: How Far Are We? - Xing Cui; Jingzheng Wu; Xiang Ling 001; Tianyue Luo; Mutian Yang; Wenxiang Ou (ICSE Companion, 2025)

The Seeds of the Future Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries. - Zhiyuan Li; Jingzheng Wu; Xiang Ling 001; Tianyue Luo; Zhiqing Rui; Yanjun Wu (ICSE, 2025)

Point Patches Contrastive Learning for Enhanced Point Cloud Completion. - Ben Fei; Liwen Liu; Tianyue Luo; Weidong Yang 001; Lipeng Ma; Zhijun Li 001; Wenming Chen 001 (IEEE Trans. Multim., 2025)

Version-level Third-Party Library Detection in Android Applications via Class Structural Similarity. - Bolin Zhou; Jingzheng Wu; Xiang Ling 001; Tianyue Luo; Jingkun Zhang (CoRR, 2025)

Curriculumformer: Taming Curriculum Pre-Training for Enhanced 3-D Point Cloud Understanding. - Ben Fei; Tianyue Luo; Weidong Yang 001; Liwen Liu; Rui Zhang 103; Ying He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)