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Journal Articles
- 2024
[j4]Xi Jiang
, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster:
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 11:1-11:32 (2024)- 2023
- [j3]Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster:
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 21:1-21:26 (2023) - [j2]Shinan Liu, Francesco Bronzino, Paul Schmitt, Arjun Nitin Bhagoji, Nick Feamster, Hector Garcia Crespo, Timothy Coyle, Brian Ward:
LEAF: Navigating Concept Drift in Cellular Networks. PACMNET 1(CoNEXT2): 7:1-7:24 (2023) - 2022
- [j1]Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark. IEEE Trans. Image Process. 31: 6032-6047 (2022)
Conference and Workshop Papers
- 2024
- [c11]Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. NAIC 2024: 9-17 - [c10]Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster:
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. SIGMETRICS/Performance (Abstracts) 2024: 85-86 - 2023
- [c9]Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Paul Schmitt, Francesco Bronzino, Nick Feamster:
Generative, High-Fidelity Network Traces. HotNets 2023: 131-138 - 2022
- [c8]Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan:
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting. BMVC 2022: 313 - [c7]Shuaicheng Li, Feng Zhang, Kunlin Yang, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi:
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning. BMVC 2022: 709 - 2021
- [c6]Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi:
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. ICCV 2021: 13648-13657 - [c5]Shinan Liu, Paul Schmitt, Francesco Bronzino, Nick Feamster:
Characterizing Service Provider Response to the COVID-19 Pandemic in the United States. PAM 2021: 20-38 - [c4]Shinan Liu, Xiang Cheng, Hanchao Yang, Yuanchao Shu, Xiaoran Weng, Ping Guo, Kexiong Curtis Zeng, Gang Wang, Yaling Yang:
Stars Can Tell: A Robust Method to Defend against GPS Spoofing Attacks using Off-the-shelf Chipset. USENIX Security Symposium 2021: 3935-3952 - 2020
- [c3]Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang:
Rethinking Pseudo-LiDAR Representation. ECCV (13) 2020: 311-327 - 2018
- [c2]Kexiong Curtis Zeng, Shinan Liu, Yuanchao Shu, Dong Wang, Haoyu Li, Yanzhi Dou, Gang Wang, Yaling Yang:
All Your GPS Are Belong To Us: Towards Stealthy Manipulation of Road Navigation Systems. USENIX Security Symposium 2018: 1527-1544 - 2017
- [c1]Kexiong Curtis Zeng, Yuanchao Shu, Shinan Liu, Yanzhi Dou, Yaling Yang:
A Practical GPS Location Spoofing Attack in Road Navigation Scenario. HotMobile 2017: 85-90
Informal and Other Publications
- 2024
- [i13]Shinan Liu, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster:
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis. CoRR abs/2402.03694 (2024) - [i12]Gerry Wan, Shinan Liu, Francesco Bronzino, Nick Feamster, Zakir Durumeric:
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines. CoRR abs/2402.06099 (2024) - [i11]Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. CoRR abs/2406.02784 (2024) - [i10]Qiming Yang, Zixin Wang, Shinan Liu, Zizheng Li:
Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm. CoRR abs/2408.12672 (2024) - 2023
- [i9]Stefany Cruz, Logan Danek, Shinan Liu, Christopher Kraemer, Zixin Wang, Nick Feamster, Danny Yuxing Huang, Yaxing Yao, Josiah D. Hester:
Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks. CoRR abs/2301.11998 (2023) - [i8]Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, Nick Feamster:
AC-DC: Adaptive Ensemble Classification for Network Traffic Identification. CoRR abs/2302.11718 (2023) - [i7]Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster:
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. CoRR abs/2310.08543 (2023) - 2022
- [i6]Shuaicheng Li, Feng Zhang, Kunlin Yang, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi:
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning. CoRR abs/2206.10157 (2022) - 2021
- [i5]Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. CoRR abs/2107.08645 (2021) - [i4]Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi:
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. CoRR abs/2108.12630 (2021) - [i3]Shinan Liu, Francesco Bronzino, Paul Schmitt, Nick Feamster, Ricardo Borges, Hector Garcia Crespo, Brian Ward:
Understanding Model Drift in a Large Cellular Network. CoRR abs/2109.03011 (2021) - 2020
- [i2]Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang:
Rethinking Pseudo-LiDAR Representation. CoRR abs/2008.04582 (2020) - [i1]Shinan Liu, Paul Schmitt, Francesco Bronzino, Nick Feamster:
Characterizing Service Provider Response to the COVID-19 Pandemic in the United States. CoRR abs/2011.00419 (2020)
Coauthor Index
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