A Practical GPS Location Spoofing Attack in Road Navigation Scenario. - Kexiong Curtis Zeng; Yuanchao Shu; Shinan Liu; Yanzhi Dou; Yaling Yang (HotMobile, 2017)

All Your GPS Are Belong To Us: Towards Stealthy Manipulation of Road Navigation Systems. - Kexiong Curtis Zeng; Shinan Liu; Yuanchao Shu; Dong Wang; Haoyu Li; Yanzhi Dou; Gang Wang 011; Yaling Yang (USENIX Security Symposium, 2018)

Rethinking Pseudo-LiDAR Representation. - Xinzhu Ma; Shinan Liu; Zhiyi Xia; Hongwen Zhang 001; Xingyu Zeng; Wanli Ouyang (ECCV (13), 2020)

GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. - Shuaicheng Li; Qianggang Cao; Lingbo Liu; Kunlin Yang; Shinan Liu; Jun Hou; Shuai Yi (ICCV, 2021)

Characterizing Service Provider Response to the COVID-19 Pandemic in the United States. - Shinan Liu; Paul Schmitt; Francesco Bronzino; Nick Feamster (PAM, 2021)

Stars Can Tell: A Robust Method to Defend against GPS Spoofing Attacks using Off-the-shelf Chipset. - Shinan Liu; Xiang Cheng; Hanchao Yang; Yuanchao Shu; Xiaoran Weng; Ping Guo 007; Kexiong Curtis Zeng; Gang Wang 011; Yaling Yang (USENIX Security Symposium, 2021)

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. - Haopeng Li; Lingbo Liu; Kunlin Yang; Shinan Liu; Junyu Gao 001; Bin Zhao 001; Rui Zhang 003; Jun Hou (CoRR, 2021)

Understanding Model Drift in a Large Cellular Network. - Shinan Liu; Francesco Bronzino; Paul Schmitt; Nick Feamster; Ricardo Borges; Hector Garcia Crespo; Brian Ward (CoRR, 2021)

Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning. - Shuaicheng Li; Feng Zhang; Kunlin Yang; Lingbo Liu; Shinan Liu; Jun Hou; Shuai Yi (BMVC, 2022)

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting. - Wei Lin 018; Kunlin Yang; Xinzhu Ma; Junyu Gao 001; Lingbo Liu; Shinan Liu; Jun Hou; Shuai Yi; Antoni B. Chan (BMVC, 2022)

Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark. - Haopeng Li; Lingbo Liu; Kunlin Yang; Shinan Liu; Junyu Gao 001; Bin Zhao 001; Rui Zhang 003; Jun Hou (IEEE Trans. Image Process., 2022)

Generative, High-Fidelity Network Traces. - Xi Jiang 007; Shinan Liu; Aaron Gember-Jacobson; Paul Schmitt; Francesco Bronzino; Nick Feamster (HotNets, 2023)

Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks. - Stefany Cruz; Logan Danek; Shinan Liu; Christopher Kraemer; Zixin Wang; Nick Feamster; Danny Yuxing Huang; Yaxing Yao; Josiah D. Hester (CoRR, 2023)

AC-DC: Adaptive Ensemble Classification for Network Traffic Identification. - Xi Jiang 007; Shinan Liu; Saloua Naama; Francesco Bronzino; Paul Schmitt; Nick Feamster (CoRR, 2023)

LEAF: Navigating Concept Drift in Cellular Networks. - Shinan Liu; Francesco Bronzino; Paul Schmitt; Arjun Nitin Bhagoji; Nick Feamster; Hector Garcia Crespo; Timothy Coyle; Brian Ward (PACMNET, 2023)

AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. - Shinan Liu; Tarun Mangla; Ted Shaowang; Jinjin Zhao; John Paparrizos; Sanjay Krishnan; Nick Feamster (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm. - Qiming Yang; Zixin Wang; Shinan Liu; Zizheng Li (IoTAAI, 2024)

Feasibility of State Space Models for Network Traffic Generation. - Andrew Chu; Xi Jiang 007; Shinan Liu; Arjun Nitin Bhagoji; Francesco Bronzino; Paul Schmitt; Nick Feamster (NAIC, 2024)

ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis. - Shinan Liu; Ted Shaowang; Gerry Wan; Jeewon Chae; Jonatas Marques; Sanjay Krishnan; Nick Feamster (CoRR, 2024)

NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. - Xi Jiang 007; Shinan Liu; Aaron Gember-Jacobson; Arjun Nitin Bhagoji; Paul Schmitt; Francesco Bronzino; Nick Feamster (Proc. ACM Meas. Anal. Comput. Syst., 2024)

CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines. - Gerry Wan; Shinan Liu; Francesco Bronzino; Nick Feamster; Zakir Durumeric (NSDI, 2025)

Distributed Multi-Antenna GPS Spoofing Attack using Off-the-Shelf Devices. - Xiang Cheng; Hanchao Yang; Shinan Liu; Yaling Yang (WISEC, 2025)

YOLOSCM: An improved YOLO algorithm for cars detection. - Changhui Deng; Lieyang Chen; Shinan Liu (CoRR, 2025)

Towards Scalable Defenses against Intimate Partner Infiltrations. - Weisi Yang; Shinan Liu; Feng Xiao; Nick Feamster; Stephen Xia (CoRR, 2025)

Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection. - Ragini Gupta; Shinan Liu; Ruixiao Zhang; Xinyue Hu; Pranav Kommaraju; Xiaoyang Wang; Hadjer Benkraouda; Nick Feamster; Klara Nahrstedt (CoRR, 2025)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams. - Ted Shaowang; Shinan Liu; Jonatas Marques; Nick Feamster; Sanjay Krishnan (CoRR, 2025)

NetSSM: Multi-Flow and State-Aware Network Trace Generation using State-Space Models. - Andrew Chu; Xi Jiang 007; Shinan Liu; Arjun Nitin Bhagoji; Francesco Bronzino; Paul Schmitt; Nick Feamster (CoRR, 2025)

WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching. - Ronghua Li; Shinan Liu; Haibo Hu 001; Qingqing Ye 001; Nick Feamster (CoRR, 2025)