| 2026 | ACL | PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation. | Yongmin Yoo, Qiongkai Xu, Longbing Cao |
| 2026 | ACL | Activation Decomposition and Steering for LLM Backdoor Remediation. | Lingfeng Zhong, Qiongkai Xu, Usman Naseem |
| 2025 | ACL | ALGEN: Few-shot Inversion Attacks on Textual Embeddings via Cross-Model Alignment and Generation. | Yiyi Chen, Qiongkai Xu, Johannes Bjerva |
| 2025 | ACL | TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. | Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2025 | ACL | WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks. | Anudeex Shetty, Qiongkai Xu, Jey Han Lau |
| 2025 | EMNLP | NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. | Shuo Huang, William MacLean, Xiaoxi Kang, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari, Lizhen Qu |
| 2025 | EMNLP | Cut the Deadwood Out: Backdoor Purification via Guided Module Substitution. | Yao Tong, Weijun Li, Xuanli He, Haolan Zhan, Qiongkai Xu |
| 2025 | EMNLP | PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims. | Yongmin Yoo, Qiongkai Xu, Longbing Cao |
| 2025 | EMNLP | GRADA: Graph-based Reranking against Adversarial Documents Attack. | Jingjie Zheng, Aryo Pradipta Gema, Giwon Hong, Xuanli He, Pasquale Minervini, Youcheng Sun, Qiongkai Xu |
| 2025 | WWW | HEAL: Healthcare Emergency Assistants Leveraging Large Language Models. | Zihan Zhu, Qiongkai Xu, Amin Beheshti |
| 2024 | ACL | Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge. | Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu |
| 2024 | ACL | WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection. | Anudeex Shetty, Yue Teng, Ke He, Qiongkai Xu |
| 2024 | EMNLP | Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients. | Weijun Li, Qiongkai Xu, Mark Dras |
| 2024 | NAACL | Backdoor Attacks on Multilingual Machine Translation. | Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | ACL | Rethinking Round-Trip Translation for Machine Translation Evaluation. | Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn |
| 2023 | ECAI | Fingerprint Attack: Client De-Anonymization in Federated Learning. | Qiongkai Xu, Trevor Cohn, Olga Ohrimenko |
| 2023 | EMNLP | Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. | Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | EMNLP | Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. | Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn |
| 2023 | EMNLP | Security Challenges in Natural Language Processing Models. | Qiongkai Xu, Xuanli He |
| 2023 | ICLR | Humanly Certifying Superhuman Classifiers. | Qiongkai Xu, Christian Walder, Chenchen Xu |
| 2023 | WWW | Training-free Lexical Backdoor Attacks on Language Models. | Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen |
| 2022 | AAAI | Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. | Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang |
| 2022 | COLING | Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. | Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari |
| 2022 | EMNLP | Extracted BERT Model Leaks More Information than You Think! | Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu |
| 2022 | EMNLP | Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. | Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari |
| 2021 | NAACL | Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! | Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu |
| 2021 | WSDM | Privacy Monitoring Service for Conversations. | Qiongkai Xu, Chenchen Xu, Lizhen Qu |
| 2020 | CHI | Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation. | Yolande A. A. Strengers, Lizhen Qu, Qiongkai Xu, Jarrod Knibbe |
| 2020 | EMNLP | Personal Information Leakage Detection in Conversations. | Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari |
| 2019 | EMNLP | ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. | Qiongkai Xu, Chenchen Xu, Lizhen Qu |
| 2019 | INLG | Privacy-Aware Text Rewriting. | Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui |
| 2017 | ACL | Demographic Inference on Twitter using Recursive Neural Networks. | Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Ccile Paris |
| 2017 | CIKM | Attentive Graph-based Recursive Neural Network for Collective Vertex Classification. | Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu |
| 2016 | AAAI | Deep Neural Networks for Learning Graph Representations. | Shaosheng Cao, Wei Lu, Qiongkai Xu |
| 2016 | WSDM | Semantic Documents Relatedness using Concept Graph Representation. | Yuan Ni, Qiongkai Xu, Feng Cao, Yosi Mass, Dafna Sheinwald, Huijia Zhu, Shao Sheng Cao |
| 2015 | CIKM | GraRep: Learning Graph Representations with Global Structural Information. | Shaosheng Cao, Wei Lu, Qiongkai Xu |
| 2012 | COLING | Using Deep Linguistic Features for Finding Deceptive Opinion Spam. | Qiongkai Xu, Hai Zhao |