Cooperative Jamming and Relay Beamforming Design for Physical Layer Secure Two-Way Relaying. - Zonghao Ma; Yanhui Lu; Lingfeng Shen; Yili Liu; Ning Wang 004 (CyberC, 2018)

Iterative UAV Trajectory Optimization for Physical Layer Secure Mobile Relaying. - Lingfeng Shen; Ning Wang 004; Xiaomin Mu (CyberC, 2018)

Trajectory Optimization for Physical Layer Secure Buffer-Aided UAV Mobile Relaying. - Lingfeng Shen; Zhengyu Zhu 001; Ning Wang 004; Xiang Ji; Xiaomin Mu; Lin Cai 001 (VTC Fall, 2019)

Iterative Trajectory Optimization for Physical-Layer Secure Buffer-Aided UAV Mobile Relaying. - Lingfeng Shen; Ning Wang 004; Xiang Ji; Xiaomin Mu; Lin Cai 001 (Sensors, 2019)

Forecasting People's Action via Social Media Data. - Lingfeng Shen; Zhuoming Liu 003; Xiongtao Zhou (IEEE BigData, 2020)

UAV-enabled Data Collection for mMTC Networks: AEM Modeling and Energy-Efficient Trajectory Design. - Lingfeng Shen; Ning Wang 004; Zhengyu Zhu 001; Yajun Fan; Xiang Ji; Xiaomin Mu (ICC, 2020)

Energy-Awareness Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks. - Lingfeng Shen; Ning Wang 004; Jun Chen 005; Jingxin Wang; Xiaomin Mu; Kon Max Wong (VTC Fall, 2020)

Joint Trajectory Optimization and Time Slot Allocation for Buffer-Aided UAV Mobile Relaying. - Yili Liu; Ning Wang 004; Lingfeng Shen; Zhengyu Zhu 001; Xiaomin Mu (WCNC Workshops, 2020)

Secure Energy Efficiency Transmission for mmWave-NOMA System. - Fei Zhao 005; Wanming Hao; Lingfeng Shen; Gangcan Sun; Yiqing Zhou 001; Yi Wang 032 (IEEE Syst. J., 2021)

KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification. - Lingfeng Shen; Shoushan Li; Ying Chen 012 (AAAI, 2022)

UAV Trajectory Optimization for PHY Secure Communication Against Cooperative Eavesdroppers. - Huanran Zhang; Lingfeng Shen; Ning Wang 004; Xiaomin Mu (CyberC, 2022)

DRCNet: Dynamic Image Restoration Contrastive Network. - Fei Li 022; Lingfeng Shen; Yang Mi; Zhenbo Li (ECCV (19), 2022)

On the Evaluation Metrics for Paraphrase Generation. - Lingfeng Shen; Lemao Liu; Haiyun Jiang; Shuming Shi 001 (EMNLP, 2022)

Multidimensional Secret Key Agreement with Tensor-Decomposition-Based mmWave MIMO Channel Estimation. - Dandan Mao; Bowen Xue; Lingfeng Shen; Ning Wang 004; Xiaomin Mu; Wei Xu 001 (GLOBECOM (Workshops), 2022)

Rethink Stealthy Backdoor Attacks in Natural Language Processing. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2022)

Revisiting the Evaluation Metrics of Paraphrase Generation. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2022)

Energy-Aware Dynamic Trajectory Planning for UAV-Enabled Data Collection in mMTC Networks. - Lingfeng Shen; Ning Wang 004; Di Zhang 002; Jun Chen 005; Xiaomin Mu; Kon Max Wong (IEEE Trans. Green Commun. Netw., 2022)

UAV-Enabled Data Collection Over Clustered Machine-Type Communication Networks: AEM Modeling and Trajectory Planning. - Lingfeng Shen; Ning Wang 004; Zhengyu Zhu 001; Wei Xu 001; Yue Li 007; Xiaomin Mu; Lin Cai 001 (IEEE Trans. Veh. Technol., 2022)

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency. - Lingfeng Shen; Weiting Tan; Boyuan Zheng; Daniel Khashabi (EMNLP (Findings), 2023)

TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification. - Lingfeng Shen; Ze Zhang; Haiyun Jiang; Ying Chen (ICLR, 2023)

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (RepL4NLP@ACL, 2023)

A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2023)

Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Ying Chen (CoRR, 2023)

The Trickle-down Impact of Reward (In-)consistency on RLHF. - Lingfeng Shen; Sihao Chen; Linfeng Song; Lifeng Jin; Baolin Peng; Haitao Mi; Daniel Khashabi; Dong Yu 001 (CoRR, 2023)

Do pretrained Transformers Really Learn In-context by Gradient Descent? - Lingfeng Shen; Aayush Mishra; Daniel Khashabi (CoRR, 2023)

iS-MAP: Neural Implicit Mapping and Positioning for Structural Environments. - Haocheng Wang; Yanlong Cao; Yejun Shou; Lingfeng Shen; Xiaoyao Wei; Zhijie Xu; Kai Ren (ACCV (9), 2024)

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 (ACL (Findings), 2024)

STA: Securing Task Allocation Using AHP and CVSS for IoT Crowdsensing Applications. - Cheng Cheng; Guanghui Wang 003; Lingfeng Shen; Fang Zuo (CAIBDA, 2024)

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 (EMNLP, 2024)

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 001 (ICLR, 2024)

Position: Do pretrained Transformers Learn In-Context by Gradient Descent? - Lingfeng Shen; Aayush Mishra; Daniel Khashabi (ICML, 2024)

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 001 (ICML, 2024)

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. - Abe Bohan Hou; Jingyu Zhang; Tianxing He; Yichen Wang 002; Yung-Sung Chuang; Hongwei Wang; Lingfeng Shen; Benjamin Van Durme; Daniel Khashabi; Yulia Tsvetkov (NAACL-HLT, 2024)

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 (NAACL-HLT (Findings), 2024)

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation. - Weiting Tan; Jingyu Zhang; Lingfeng Shen; Daniel Khashabi; Philipp Koehn (NeurIPS, 2024)

Structerf-SLAM: Neural implicit representation SLAM for structural environments. - Haocheng Wang; Yanlong Cao; Xiaoyao Wei; Yejun Shou; Lingfeng Shen; Zhijie Xu; Kai Ren (Comput. Graph., 2024)

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. - Xiao Ye; Andrew Wang; Jacob Choi; Yining Lu; Shreya Sharma 010; Lingfeng Shen; Vijay Murari Tiyyala; Nicholas Andrews; Daniel Khashabi (CoRR, 2024)

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF. - Taiming Lu; Lingfeng Shen; Xinyu Yang 002; Weiting Tan; Beidi Chen; Huaxiu Yao (CoRR, 2024)

Enhanced multi-scale feature adaptive fusion sparse convolutional network for large-scale scenes semantic segmentation. - Lingfeng Shen; Yanlong Cao; Wenbin Zhu; Kai Ren; Yejun Shou; Haocheng Wang; Zhijie Xu (Comput. Graph., 2025)

Achieving efficient and accurate privacy-preserving localization for internet of things: A quantization-based approach. - Guanghui Wang 003; Xueyuan Zhang; Lingfeng Shen; Shengbo Chen; Fei Tong; Xin He; Wenyao Li (Future Gener. Comput. Syst., 2025)

Weakly supervised point cloud semantic segmentation using pseudo-label reliability and consistency regularization. - Lingfeng Shen; Yanlong Cao; Xiaoyao Wei; Shuai Li (Neurocomputing, 2025)

LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion. - Zhan Ling; Kang Liu; Kai Yan; Yifan Yang; Weijian Lin; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)

MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning. - Kai Yan; Zhan Ling; Kang Liu; Yifan Yang; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)