Changgang Zheng

According to our database, Changgang Zheng authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Toward Continuous Threat Defense: in-Network Traffic Analysis for IoT Gateways.

Mingyuan Zang, Changgang Zheng, Lars Dittmann, Noa Zilberman

IEEE Internet Things J., March, 2024

E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation.

Masoud Hemmatpour, Changgang Zheng, Noa Zilberman

Proceedings of the 27th Conference on Innovation in Clouds, Internet and Networks, 2024

2023

DINC: Toward Distributed In-Network Computing.

Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman

PACMNET, 2023

A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning.

Juan Marcelo Parra Ullauri, Chen Zhen, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang

CoRR, 2023

QCMP: Load Balancing via In-Network Reinforcement Learning.

Changgang Zheng, Benjamin Rienecker, Noa Zilberman

Proceedings of the 2nd ACM SIGCOMM Workshop on Future of Internet Routing & Addressing, 2023

A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment.

Xi Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen, Yong Liao, Shufan Yang

Proceedings of the Artificial Intelligence XL, 2023

Federated Learning-Based In-Network Traffic Analysis on IoT Edge.

Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, Lars Dittmann

Proceedings of the IFIP Networking Conference, 2023

LOBIN: In-Network Machine Learning for Limit Order Books.

Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman

Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

2022

Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems.

Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning.

Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang

Softw. Syst. Model., 2022

Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder.

Bernard Cobbinah Mawuli, Christian Sorg, Qinli Yang, Arvid Ternblom, Changgang Zheng, Wei Han, Liwei Che, Junming Shao

Medical Image Anal., 2022

Automating In-Network Machine Learning.

Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

CoRR, 2022

IIsy: Practical In-Network Classification.

Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

CoRR, 2022

P4Pir: in-network analysis for smart IoT gateways.

Mingyuan Zang, Changgang Zheng, Radostin Stoyanov, Lars Dittmann, Noa Zilberman

Proceedings of the SIGCOMM '22 Poster and Demo Sessions, 2022

Linnet: limit order books within switches.

Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman

Proceedings of the SIGCOMM '22 Poster and Demo Sessions, 2022

Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures.

Changgang Zheng, Chen Zhen, Haiyong Xie, Shufan Yang

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021

Modular neural network via exploring category hierarchy.

Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao

Inf. Sci., 2021

Reward-Reinforced Reinforcement Learning for Multi-agent Systems.

Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo

CoRR, 2021

Planter: seeding trees within switches.

Changgang Zheng, Noa Zilberman

Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021

2019

Data Mining Techniques for the Analysis and Prediction in Bioenergy Yield.

Mengyu Ge, Han Liu, Yilin Liu, Changgang Zheng

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019