Changgang Zheng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Traffic Analysis

Eligibility Traces

Reinforcement Learning

Countermeasures

Top Venues

SIGCOMM Posters and Demos

IEEE/ACM Trans. Netw.

Publications

Changgang Zheng, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
In-Network Machine Learning Using Programmable Network Devices: A Survey. IEEE Commun. Surv. Tutorials 26 (2) (2024)
Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
Planter: Rapid Prototyping of In-Network Machine Learning Inference. Comput. Commun. Rev. 54 (1) (2024)
Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
IIsy: Hybrid In-Network Classification Using Programmable Switches. IEEE/ACM Trans. Netw. 32 (3) (2024)
Mingyuan Zang, Changgang Zheng, Lars Dittmann, Noa Zilberman
Toward Continuous Threat Defense: in-Network Traffic Analysis for IoT Gateways. IEEE Internet Things J. 11 (6) (2024)
Masoud Hemmatpour, Changgang Zheng, Noa Zilberman
E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation. ICIN (2024)
Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman
DINC: Toward Distributed In-Network Computing. PACMNET 1 (CoNEXT3) (2023)
Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, Lars Dittmann
Federated Learning-Based In-Network Traffic Analysis on IoT Edge. IFIP Networking (2023)
Xi Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen, Yong Liao, Shufan Yang
A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment. SGAI Conf. (2023)
Changgang Zheng, Benjamin Rienecker, Noa Zilberman
QCMP: Load Balancing via In-Network Reinforcement Learning. FIRA@SIGCOMM (2023)
Juan Marcelo Parra Ullauri, Chen Zhen, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning. CoRR (2023)
Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman
LOBIN: In-Network Machine Learning for Limit Order Books. HPSR (2023)
Mingyuan Zang, Changgang Zheng, Radostin Stoyanov, Lars Dittmann, Noa Zilberman
P4Pir: in-network analysis for smart IoT gateways. SIGCOMM Posters and Demos (2022)
Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems. IEEE Trans. Emerg. Top. Comput. Intell. 6 (3) (2022)
Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning. Softw. Syst. Model. 21 (3) (2022)
Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
IIsy: Practical In-Network Classification. CoRR (2022)
Changgang Zheng, Chen Zhen, Haiyong Xie, Shufan Yang
Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. DSC (2022)
Bernard Cobbinah Mawuli, Christian Sorg, Qinli Yang, Arvid Ternblom, Changgang Zheng, Wei Han, Liwei Che, Junming Shao
Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. Medical Image Anal. 82 (2022)
Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman
Linnet: limit order books within switches. SIGCOMM Posters and Demos (2022)
Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
Automating In-Network Machine Learning. CoRR (2022)
Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR (2021)
Changgang Zheng, Noa Zilberman
Planter: seeding trees within switches. SIGCOMM Posters and Demos (2021)
Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao
Modular neural network via exploring category hierarchy. Inf. Sci. 569 (2021)
Mengyu Ge, Han Liu, Yilin Liu, Changgang Zheng
Data Mining Techniques for the Analysis and Prediction in Bioenergy Yield. AIAM (IEEE) (2019)