| 2026 | AAAI | Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems. | Haowei Wang, Rupeng Zhang, Junjie Wang, Mingyang Li, Yuekai Huang, Dandan Wang, Qing Wang |
| 2026 | ACL | Know Thy Enemy: Securing LLMs Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning. | Zhiyuan Chang, Mingyang Li, Yuekai Huang, Ziyou Jiang, Xiaojun Jia, Qian Xiong, Junjie Wang, Zhaoyang Li, Qing Wang |
| 2026 | ACL | All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction. | Ziyou Jiang, Mingyang Li, Junjie Wang, Yuekai Huang, Jie Huang, Zhiyuan Chang, Zhaoyang Li, Qing Wang |
| 2026 | EACL | Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs. | Yujia Zheng, Tianhao Li, Haotian Huang, Tianyu Zeng, Jingyu Lu, Chuangxin Chu, Yuekai Huang, Ziyou Jiang, Qian Xiong, Yuyao Ge, Mingyang Li |
| 2025 | ACL | Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System. | Ziyou Jiang, Mingyang Li, Guowei Yang, Junjie Wang, Yuekai Huang, Zhiyuan Chang, Qing Wang |
| 2025 | EMNLP | One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems. | Zhiyuan Chang, Mingyang Li, Xiaojun Jia, Junjie Wang, Yuekai Huang, Ziyou Jiang, Yang Liu, Qing Wang |
| 2025 | EMNLP | Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems. | Qian Xiong, Yuekai Huang, Ziyou Jiang, Zhiyuan Chang, Yu Zheng, Tianhao Li, Mingyang Li |
| 2025 | NAACL | From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection. | Rupeng Zhang, Haowei Wang, Junjie Wang, Mingyang Li, Yuekai Huang, Dandan Wang, Qing Wang |
| 2024 | CHI | Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM. | Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Yuekai Huang, Jun Hu, Qing Wang |
| 2024 | ICSE | Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model. | Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Zhilin Tian, Yuekai Huang, Jun Hu, Qing Wang |
| 2024 | ICSE | Demystifying and Detecting Misuses of Deep Learning APIs. | Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang |
| 2024 | QRS | Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions. | Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang, Qing Wang |
| 2023 | ICSE | Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing. | Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang |
| 2023 | ICSE | Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network. | Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Yuekai Huang, Jun Hu, Qing Wang |
| 2022 | CHI | Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves. | Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang |
| 2022 | ESEM | A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. | Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang |
| 2021 | ESEM | Characterizing and Predicting Good First Issues. | Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang |
| 2020 | ESEM | Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. | Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang |