Changgang Zheng

31 papers A 2B 1C 2Misc 1Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Design, Implementation, and Deployment of Multi-Task Neural Networks in Programmable Data-Planes. IEEE Trans. Netw. Serv. Manag. Kaiyi Zhang, Changgang Zheng, Nancy Samaan, Ahmed Karmouch, Noa Zilberman
2025	—	`conf`	Edge Acceleration of LiDAR Frame Transmission with In-network Machine Learning. EdgeSys@EuroSys Peng Qian, Changgang Zheng, Noa Zilberman
2025	C	`conf`	MUTA: Enabling Multi-Task Neural Network Inference in Programmable Data-Planes. HPSR Kaiyi Zhang, Changgang Zheng, Nancy Samaan, Ahmed Karmouch, Noa Zilberman
2024	A	`conf`	Accelerating Machine Learning for Trading Using Programmable Switches. ECAI Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman
2024	Misc	`conf`	E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation. ICIN Masoud Hemmatpour, Changgang Zheng, Noa Zilberman
2024	J	`jnl`	Federated In-Network Machine Learning for Privacy-Preserving IoT Traffic Analysis. ACM Trans. Internet Techn. Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, Lars Dittmann
2024	—	`conf`	GridWatch: A Smart Network for Smart Grid. SmartGridComm Masoud Hemmatpour, Changgang Zheng, Noa Zilberman, Phuong Hoai Ha
2024	J	`jnl`	IIsy: Hybrid In-Network Classification Using Programmable Switches. IEEE/ACM Trans. Netw. Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2024	J	`jnl`	In-Network Machine Learning Using Programmable Network Devices: A Survey. IEEE Commun. Surv. Tutorials Changgang Zheng, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2024	A	`conf`	In-Network Machine Learning for Real-Time Transaction Fraud Detection. ECAI Xinpeng Hong, Changgang Zheng, Noa Zilberman
2024	J	`jnl`	Planter: Rapid Prototyping of In-Network Machine Learning Inference. Comput. Commun. Rev. Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2024	—	`conf`	Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation. SGAI Conf. (2) Xi Liu, Changgang Zheng, Zhen Chen, Yong Liao, Ren Chen, Shufan Yang
2024	J	`jnl`	Toward Continuous Threat Defense: in-Network Traffic Analysis for IoT Gateways. IEEE Internet Things J. Mingyuan Zang, Changgang Zheng, Lars Dittmann, Noa Zilberman
2023	J	`jnl`	A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning. CoRR Juan Marcelo Parra Ullauri, Chen Zhen, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
2023	—	`conf`	A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment. SGAI Conf. Xi Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen, Yong Liao, Shufan Yang
2023	J	`jnl`	DINC: Toward Distributed In-Network Computing. PACMNET Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, Noa Zilberman
2023	B	`conf`	Federated Learning-Based In-Network Traffic Analysis on IoT Edge. IFIP Networking Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, Lars Dittmann
2023	C	`conf`	LOBIN: In-Network Machine Learning for Limit Order Books. HPSR Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman
2023	—	`conf`	QCMP: Load Balancing via In-Network Reinforcement Learning. FIRA@SIGCOMM Changgang Zheng, Benjamin Rienecker, Noa Zilberman
2022	J	`jnl`	Automating In-Network Machine Learning. CoRR Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2022	J	`jnl`	Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning. Softw. Syst. Model. Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
2022	J	`jnl`	IIsy: Practical In-Network Classification. CoRR Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2022	—	`conf`	Linnet: limit order books within switches. SIGCOMM Posters and Demos Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman
2022	—	`conf`	P4Pir: in-network analysis for smart IoT gateways. SIGCOMM Posters and Demos Mingyuan Zang, Changgang Zheng, Radostin Stoyanov, Lars Dittmann, Noa Zilberman
2022	J	`jnl`	Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. Medical Image Anal. Bernard Cobbinah Mawuli, Christian Sorg, Qinli Yang, Arvid Ternblom, Changgang Zheng, Wei Han, Liwei Che, Junming Shao
2022	J	`jnl`	Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems. IEEE Trans. Emerg. Top. Comput. Intell. Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
2022	—	`conf`	Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. DSC Changgang Zheng, Chen Zhen, Haiyong Xie, Shufan Yang
2021	J	`jnl`	Modular neural network via exploring category hierarchy. Inf. Sci. Wei Han, Changgang Zheng, Rui Zhang, Jinxia Guo, Qinli Yang, Junming Shao
2021	—	`conf`	Planter: seeding trees within switches. SIGCOMM Posters and Demos Changgang Zheng, Noa Zilberman
2021	J	`jnl`	Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
2019	—	`conf`	Data Mining Techniques for the Analysis and Prediction in Bioenergy Yield. AIAM (IEEE) Mengyu Ge, Han Liu, Yilin Liu, Changgang Zheng