Dongxin Liu

According to our database, Dongxin Liu authored at least 54 papers between 2015 and 2026.

Collaborative distances:

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

2026

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection.

Maofei Chen, Laifu Wang, Yue Qin, Yuan Wang, Bo Wu, Dongxin Liu

CoRR, April, 2026

2025

Exploring black-box adversarial attacks on Interpretable Deep Learning Systems.

Yike Zhan, Baolin Zheng, Dongxin Liu, Boren Deng, Xu Yang

Comput. Vis. Image Underst., 2025

2024

Distributed Algorithm for Constrained Social Cost Minimization Problem of Heterogeneous Linear Multiagent Systems Against DoS Attacks.

Xiaohong Nian, Fan Li, Dongxin Liu

IEEE Trans. Control. Netw. Syst., December, 2024

Facial action unit detection with emotion consistency: a cross-modal learning approach.

Wenyu Song, Dongxin Liu, Gaoyun An, Yun Duan, Laifu Wang

Multim. Syst., December, 2024

Continuous-Time Distributed Algorithm for Seeking Fixed Points of Multiagent Quasi-Nonexpansive Operators.

Xiaohong Nian, Dongxin Liu, Fan Li

IEEE Trans. Control. Netw. Syst., September, 2024

Nash Equilibrium Seeking for Multi-Cluster Games of Second-Order Systems Over Weight-Unbalanced Digraphs.

Xiaohong Nian, Dongxin Liu, Fan Li

IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Distributed Nash Equilibrium Seeking for Multi-Cluster Game of Second-Order Nonlinear Systems With Partial Information.

Xiaohong Nian, Fan Li, Dongxin Liu

IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

A Novel Single-Time Scale Distributed Attack-Resilient Algorithm for Multi-Cluster Games.

Fan Li, Dongxin Liu, Xiaohong Nian

IEEE Trans. Netw. Sci. Eng., 2024

Distributed algorithm for social cost minimization with second-order nonlinear dynamics over weight-unbalanced digraphs.

Xiaohong Nian, Fan Li, Dongxin Liu

Syst. Control. Lett., 2024

Distributed predefined-time constrained social cost minimization problem under the partial information setting.

Dongxin Liu, Xiaohong Nian, Fan Li

Syst. Control. Lett., 2024

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing.

Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher

Proceedings of the ACM on Web Conference 2024, 2024

2023

FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space.

Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Malware Traffic Classification Based on GAN and BP Neural Networks.

Yun Duan, Laifu Wang, Dongxin Liu, Boren Deng, Yunfan Tian

Proceedings of the Ubiquitous Security - Second International Conference, 2022

IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things.

Dongxin Liu, Tarek F. Abdelzaher, Tianshi Wang, Yigong Hu, Jinyang Li, Shengzhong Liu, Matthew Caesar, Deepti Kalasapura, Joydeep Bhattacharyya, Nassy Srour, Jae Kim, Guijun Wang, Greg Kimberly, Shouchao Yao

Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

A combined-CNN model of TLS Traffic Recognition and Classification.

Yunfan Tian, Dongxin Liu, Laifu Wang, Bowen Hu

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

Design of an Autoencoder-based Anomaly Detection for the DoH traffic System.

Xinhui Du, Dongxin Liu, Shuai Ding, Zhongji Liu, Xiaowei Yuan, Tong Li, Haojiang Deng

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021

Truth Discovery With Multi-Modal Data in Social Sensing.

Huajie Shao, Dachun Sun, Shuochao Yao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher

IEEE Trans. Computers, 2021

Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services.

Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher

GetMobile Mob. Comput. Commun., 2021

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding.

Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization.

Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher

Frontiers Big Data, 2021

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.

Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification.

Dongxin Liu, Peng Wang, Tianshi Wang, Tarek F. Abdelzaher

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective.

Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

Semi-Supervised Contrastive Learning for Human Activity Recognition.

Dongxin Liu, Tarek F. Abdelzaher

Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

2020

Inhibitor discovery for the E. coli meningitis virulence factor IbeA from homology modeling and virtual screening.

Xiaoqian Xu, Li Zhang, Ying Cai, Dongxin Liu, Zhengwen Shang, Qiuhong Ren, Qiong Li, Weidong Zhao, Yuhua Chen

J. Comput. Aided Mol. Des., 2020

GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion.

Shengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.

Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Controllable Variational Autoencoder.

Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher

CoRR, 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.

Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher

CoRR, 2020

Multiscale online media simulation with SocialCube.

Tarek F. Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss, Boleslaw K. Szymanski

Comput. Math. Organ. Theory, 2020

Generation of Bright-Dark Soliton Pairs in Mode-Locked Fiber Laser Based on Molybdenum Diselenide.

Xiaofa Wang, Huihui Han, Dongxin Liu

IEEE Access, 2020

Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency.

Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Scheduling Real-time Deep Learning Services as Imprecise Computations.

Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher

Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020

ControlVAE: Controllable Variational Autoencoder.

Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher

Proceedings of the 37th International Conference on Machine Learning, 2020

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks.

Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek F. Abdelzaher

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization.

Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.

Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher

Proceedings of the World Wide Web Conference, 2019

SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications.

Shuochao Yao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Yifan Hao, Ailing Piao, Shaohan Hu, Su Lu, Tarek F. Abdelzaher

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Eugene: Towards Deep Intelligence as a Service.

Shuochao Yao, Kasthuri Jayarajah, Archan Misra, Tarek F. Abdelzaher, Yifan Hao, Yiran Zhao, Ailing Piao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Shaohan Hu, Dulanga Weerakoon

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub.

Shengzhong Liu, Shuochao Yao, Dongxin Liu, Huajie Shao, Yiran Zhao, Xinzhe Fu, Tarek F. Abdelzaher

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Simulation Evaluation of Fuel-Saving Systems in the City of Chicago.

Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu, Tarek F. Abdelzaher

Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

MISEN: A Mobile Indoor White Space Exploration Method.

Xiaoyang Zheng, Fan Yi, Dongxin Liu, Fan Wu, Guihai Chen

Proceedings of the 2019 IEEE International Conference on Communications, 2019

GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service.

Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Unsupervised Fact-finding with Multi-modal Data in Social Sensing.

Huajie Shao, Shuochao Yao, Yiran Zhao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Transparent Interconnection of Lots of Links (TRILL) Multilevel Using Unique Nicknames.

Mingui Zhang, Donald E. Eastlake III, Radia J. Perlman, Hongjun Zhai, Dongxin Liu

RFC, May, 2018

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.

Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

A predictive Self-Configuring Simulator for Online Media.

Shuochao Yao, Yifan Hao, Dongxin Liu, Shengzhong Liu, Huajie Shao, Jiahao Wu, Mouna Bamba, Tarek F. Abdelzaher, James Flamino, Boleslaw K. Szymanski

Proceedings of the 2018 Winter Simulation Conference, 2018

FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.

Shuochao Yao, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Lu Su, Tarek F. Abdelzaher

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

CORTEN: A Real-Time Accurate Indoor White Space Prediction Mechanism.

Hejun Xiao, Dongxin Liu, Fan Wu, Linghe Kong, Guihai Chen

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.

Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

Cost-Efficient Indoor White Space Exploration Through Compressive Sensing.

Fan Wu, Dongxin Liu, Zhihao Wu, Yuan Zhang, Guihai Chen

IEEE/ACM Trans. Netw., 2017

2016

Training-Free Indoor White Space Exploration.

Dongxin Liu, Fan Wu, Linghe Kong, Shaojie Tang, Yuan Luo, Guihai Chen

IEEE J. Sel. Areas Commun., 2016

2015

FIWEX: Compressive Sensing Based Cost-Efficient Indoor White Space Exploration.

Dongxin Liu, Zhihao Wu, Fan Wu, Yuan Zhang, Guihai Chen

Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2015

Research of Botnet Situation Awareness Based on Big Data.

Zhiqiang Luo, Jun Shen, Huamin Jin, Dongxin Liu

Proceedings of the Web Technologies and Applications, 2015