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Liang Tong
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2020 – today
- 2024
- [j6]Yunlong Tang, Jing Sun, Huan Wang, Junyi Deng, Liang Tong, Wenhong Xu:
A method of network attack-defense game and collaborative defense decision-making based on hierarchical multi-agent reinforcement learning. Comput. Secur. 142: 103871 (2024) - [j5]Yulin Zhu
, Liang Tong
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2476-2489 (2024) - 2023
- [c16]Dongjie Wang
Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-5060 - [c15]Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu:
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS 2023 - [i9]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR abs/2302.01987 (2023) - 2022
- [j4]Honghong Zhang, Xusheng Gan, Ying Liu, Yarong Wu, Jingjuan Sun, Liang Tong, Feng Yang:
Risk assessment framework for low-altitude UAV traffic management. J. Intell. Fuzzy Syst. 42(3): 2775-2792 (2022) - [c14]Liang Tong:
Complex Analysis of Heart Rate on Obstructive Sleep Apnea using Fuzzy Approximate Entropy. BIC 2022: 151-159 - [c13]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM 2022: 1197-1202 - [i8]Yulin Zhu, Liang Tong, Kai Zhou:
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. CoRR abs/2210.13815 (2022) - [i7]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022) - 2021
- [c12]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [i6]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - 2020
- [j3]Lin Zhang, Zhe Liu
Identification of Seed Maize Fields With High Spatial Resolution and Multiple Spectral Remote Sensing Using Random Forest Classifier. Remote. Sens. 12(3): 362 (2020) - [c11]Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. AAAI 2020: 946-953 - [c10]Tong Wu, Liang Tong, Yevgeniy Vorobeychik:
Defending Against Physically Realizable Attacks on Image Classification. ICLR 2020 - [i5]Liang Tong, Minzhe Guo, Atul Prakash, Yevgeniy Vorobeychik:
Towards Robustness against Unsuspicious Adversarial Examples. CoRR abs/2005.04272 (2020)
2010 – 2019
- 2019
- [c9]Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik:
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features. USENIX Security Symposium 2019: 285-302 - [i4]Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. CoRR abs/1906.08805 (2019) - [i3]Tong Wu, Liang Tong, Yevgeniy Vorobeychik:
Defending Against Physically Realizable Attacks on Image Classification. CoRR abs/1909.09552 (2019) - 2018
- [c8]Liang Zheng, Chao Huo, Xianbo Ke, Fengjie Shen, Gang Zhang, Liang Tong, Jie Wang, Xinyi Liang:
System Protection Controllable Resource Pool Situational Awareness. CCIS 2018: 963-967 - [c7]Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. ICML 2018: 4953-4961 - [i2]Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. CoRR abs/1806.02256 (2018) - 2017
- [i1]Liang Tong, Bo Li, Chen Hajaj, Yevgeniy Vorobeychik:
Feature Conservation in Adversarial Classifier Evasion: A Case Study. CoRR abs/1708.08327 (2017) - 2016
- [c6]Liang Tong, Wei Gao:
Application-aware traffic scheduling for workload offloading in mobile clouds. INFOCOM 2016: 1-9 - [c5]Liang Tong, Yong Li, Wei Gao:
A hierarchical edge cloud architecture for mobile computing. INFOCOM 2016: 1-9 - 2014
- [j2]Xuefeng Yan, Bing Chen, Liang Tong, Xiaolin Hu, Yi Pan
Adaptive dual cluster heads collaborative target tracking in wireless sensor networks. Int. J. Sens. Networks 15(1): 11-22 (2014) - [c4]Changyue Liu, Supeng Leng, Kun Yang, Liang Tong, Ke Zhang:
A Cooperative-pricing-based Access Selection Mechanism for vehicular heterogeneous networks. ChinaCom 2014: 181-186 - 2013
- [c3]Mao Li, Tigang Jiang, Liang Tong:
Spectrum Handoff Scheme for Prioritized Multimedia Services in Cognitive Radio Network with Finite Buffer. DASC 2013: 410-415 - [c2]Liang Tong, Lixiang Ma, Longjiang Li, Mao Li:
A Coalitional Game Theoretical Model for Content Downloading in Multihop VANETs. DASC 2013: 627-632 - 2011
- [c1]Jie Wang, Liang Tong:
Asynchronous Modeling and Implementation of Web Services Based on JMS. ICIC (1) 2011: 553-559
2000 – 2009
- 2004
- [j1]Jin Chen, Dan He, Liang Tong:
Innovation business process reengineering based on workflow technology: a type of e-innovation. Int. J. Inf. Technol. Manag. 3(1): 20-40 (2004)
Coauthor Index
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