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Changgang Zheng
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2020 – today
- 2024
- [j9]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): 2-21 (2024) - [j8]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): 1171-1200 (2024) - [j7]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): 9244-9257 (2024) - [j6]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): 2555-2570 (2024) - [c14]Xinpeng Hong, Changgang Zheng, Noa Zilberman:
In-Network Machine Learning for Real-Time Transaction Fraud Detection. ECAI 2024: 2902-2909 - [c13]Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman:
Accelerating Machine Learning for Trading Using Programmable Switches. ECAI 2024: 3429-3436 - [c12]Masoud Hemmatpour, Changgang Zheng, Noa Zilberman:
E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation. ICIN 2024: 179-185 - [c11]Xi Liu, Changgang Zheng, Zhen Chen, Yong Liao, Ren Chen, Shufan Yang:
Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation. SGAI Conf. (2) 2024: 238-243 - [c10]Masoud Hemmatpour, Changgang Zheng, Noa Zilberman, Phuong Hoai Ha:
GridWatch: A Smart Network for Smart Grid. SmartGridComm 2024: 141-146 - 2023
- [j5]Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman:
DINC: Toward Distributed In-Network Computing. PACMNET 1(CoNEXT3): 14:1-14:25 (2023) - [c9]Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman:
LOBIN: In-Network Machine Learning for Limit Order Books. HPSR 2023: 159-166 - [c8]Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, Lars Dittmann:
Federated Learning-Based In-Network Traffic Analysis on IoT Edge. IFIP Networking 2023: 1-6 - [c7]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: 216-221 - [c6]Changgang Zheng, Benjamin Rienecker, Noa Zilberman:
QCMP: Load Balancing via In-Network Reinforcement Learning. FIRA@SIGCOMM 2023: 35-40 - [i4]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 abs/2303.05186 (2023) - 2022
- [j4]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: 102585 (2022) - [j3]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): 1091-1113 (2022) - [j2]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): 479-488 (2022) - [c5]Changgang Zheng, Chen Zhen, Haiyong Xie, Shufan Yang:
Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. DSC 2022: 1-8 - [c4]Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman:
Linnet: limit order books within switches. SIGCOMM Posters and Demos 2022: 37-39 - [c3]Mingyuan Zang, Changgang Zheng, Radostin Stoyanov, Lars Dittmann, Noa Zilberman:
P4Pir: in-network analysis for smart IoT gateways. SIGCOMM Posters and Demos 2022: 46-48 - [i3]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 abs/2205.08243 (2022) - [i2]Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman:
Automating In-Network Machine Learning. CoRR abs/2205.08824 (2022) - 2021
- [j1]Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao:
Modular neural network via exploring category hierarchy. Inf. Sci. 569: 496-507 (2021) - [c2]Changgang Zheng, Noa Zilberman:
Planter: seeding trees within switches. SIGCOMM Posters and Demos 2021: 12-14 - [i1]Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo:
Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR abs/2103.12192 (2021)
2010 – 2019
- 2019
- [c1]Mengyu Ge, Han Liu, Yilin Liu, Changgang Zheng:
Data Mining Techniques for the Analysis and Prediction in Bioenergy Yield. AIAM (IEEE) 2019: 214-217
Coauthor Index
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