Shinan Liu

According to our database, Shinan Liu authored at least 34 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation.

Zhaochen Guo, Tianyufei Zhou, Honghao Wang, Ronghua Li, Shinan Liu

CoRR, February, 2026

WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching.

Ronghua Li, Shinan Liu, Haibo Hu, Qingqing Ye, Nick Feamster

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis.

Jiao Xu, Junwei Liu, Jiangwei Lao, Qi Zhu, Yunpeng Zhao, Congyun Jin, Shinan Liu, Zhihong Lu, Lihe Zhang, Xin Chen, Jian Wang, Ping Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic.

Van Tran, Shinan Liu, Tian Li, Nick Feamster

CoRR, November, 2025

SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving.

Xiangbo Gao, Tzu-Hsiang Lin, Ruojing Song, Yuheng Wu, Kuan-Ru Huang, Zicheng Jin, Fangzhou Lin, Shinan Liu, Zhengzhong Tu

CoRR, October, 2025

λ-GRPO: Unifying the GRPO Frameworks with Learnable Token Preferences.

Yining Wang, Jinman Zhao, Chuangxin Zhao, Shuhao Guan, Gerald Penn, Shinan Liu

CoRR, October, 2025

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams.

Ted Shaowang, Shinan Liu, Jonatas Marques, Nick Feamster, Sanjay Krishnan

Proc. VLDB Endow., September, 2025

NetSSM: Multi-Flow and State-Aware Network Trace Generation using State-Space Models.

Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster

CoRR, March, 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, March, 2025

Towards Scalable Defenses against Intimate Partner Infiltrations.

Weisi Yang, Shinan Liu, Feng Xiao, Nick Feamster, Stephen Xia

CoRR, February, 2025

YOLOSCM: An improved YOLO algorithm for cars detection.

Changhui Deng, Lieyang Chen, Shinan Liu

CoRR, January, 2025

JITI: Dynamic Model Serving for Just-in-Time Traffic Inference.

Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster

Proc. ACM Netw., 2025

Distributed Multi-Antenna GPS Spoofing Attack using Off-the-Shelf Devices.

Xiang Cheng, Hanchao Yang, Shinan Liu, Yaling Yang

Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2025

CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines.

Gerry Wan, Shinan Liu, Francesco Bronzino, Nick Feamster, Zakir Durumeric

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

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, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster

Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

Feasibility of State Space Models for Network Traffic Generation.

Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster

Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing, 2024

Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm.

Qiming Yang, Zixin Wang, Shinan Liu, Zizheng Li

Proceedings of the 6th International Conference on Internet of Things, 2024

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., March, 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

AC-DC: Adaptive Ensemble Classification for Network Traffic Identification.

Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster

CoRR, 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

Generative, High-Fidelity Network Traces.

Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Paul Schmitt, Francesco Bronzino, Nick Feamster

Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023

2022

Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark.

Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

IEEE Trans. Image Process., 2022

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.

Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark.

Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

CoRR, 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, Kexiong Curtis Zeng, Gang Wang, Yaling Yang

Proceedings of the 30th USENIX Security Symposium, 2021

Characterizing Service Provider Response to the COVID-19 Pandemic in the United States.

Shinan Liu, Paul Schmitt, Francesco Bronzino, Nick Feamster

Proceedings of the Passive and Active Measurement - 22nd International Conference, 2021

GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer.

Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Rethinking Pseudo-LiDAR Representation.

Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

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, Yaling Yang

Proceedings of the 27th USENIX Security Symposium, 2018

2017

A Practical GPS Location Spoofing Attack in Road Navigation Scenario.

Kexiong Curtis Zeng, Yuanchao Shu, Shinan Liu, Yanzhi Dou, Yaling Yang

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017