| 2025 | ICCV | Unsupervised Rgb-D Point Cloud Registration for Scenes With Low Overlap and Photometric Inconsistency. | Yejun Shou, Haocheng Wang, Lingfeng Shen, Qian Zheng, Gang Pan, Yanlong Cao |
| 2025 | ICDAR | E-FCOS: Enhanced Historical Text Detection with Fast Fourier Transform Denoising and Adaptive Multi-scale Fusion. | Menghui Liu, Guanghui Wang, Lang Yu, Yilan Yang, Lingfeng Shen, Heng Li |
| 2025 | VTC | Towards Resilient Federated Learning Against Collusion Attacks. | Youjuan Zhu, Jingyao Xu, Yuhong Zhang, Lingfeng Shen, Guanghui Wang |
| 2024 | ACCV | iS-MAP: Neural Implicit Mapping and Positioning for Structural Environments. | Haocheng Wang, Yanlong Cao, Yejun Shou, Lingfeng Shen, Xiaoyao Wei, Zhijie Xu, Kai Ren |
| 2024 | ACL | The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts. | Lingfeng Shen, Weiting Tan, Sihao Chen, Yunmo Chen, Jingyu Zhang, Haoran Xu, Boyuan Zheng, Philipp Koehn, Daniel Khashabi |
| 2024 | EMNLP | AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. | Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi |
| 2024 | ICLR | The Trickle-down Impact of Reward Inconsistency on RLHF. | Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu |
| 2024 | ICML | Position: Do pretrained Transformers Learn In-Context by Gradient Descent? | Lingfeng Shen, Aayush Mishra, Daniel Khashabi |
| 2024 | ICML | Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. | Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim |
| 2024 | NAACL | SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. | Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov |
| 2024 | NAACL | Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. | Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen |
| 2023 | EMNLP | Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency. | Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi |
| 2023 | ICLR | TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification. | Lingfeng Shen, Ze Zhang, Haiyun Jiang, Ying Chen |
| 2022 | AAAI | KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification. | Lingfeng Shen, Shoushan Li, Ying Chen |
| 2022 | ECCV | DRCNet: Dynamic Image Restoration Contrastive Network. | Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li |
| 2022 | EMNLP | On the Evaluation Metrics for Paraphrase Generation. | Lingfeng Shen, Lemao Liu, Haiyun Jiang, Shuming Shi |
| 2022 | GLOBECOM | Multidimensional Secret Key Agreement with Tensor-Decomposition-Based mmWave MIMO Channel Estimation. | Dandan Mao, Bowen Xue, Lingfeng Shen, Ning Wang, Xiaomin Mu, Wei Xu |
| 2020 | VTC | Energy-Awareness Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks. | Lingfeng Shen, Ning Wang, Jun Chen, Jingxin Wang, Xiaomin Mu, Kon Max Wong |
| 2020 | WCNC | Joint Trajectory Optimization and Time Slot Allocation for Buffer-Aided UAV Mobile Relaying. | Yili Liu, Ning Wang, Lingfeng Shen, Zhengyu Zhu, Xiaomin Mu |
| 2019 | VTC | Trajectory Optimization for Physical Layer Secure Buffer-Aided UAV Mobile Relaying. | Lingfeng Shen, Zhengyu Zhu, Ning Wang, Xiang Ji, Xiaomin Mu, Lin Cai |