Chenhan Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Production Scheduling

Privacy Breaches

Information Bottleneck

Top Venues

IEEE Internet Things J.

Publications

Ping Li, Chenhan Zhang, Xianghua Xu
Fast Fourier Inception Networks for Occluded Video Prediction. IEEE Trans. Multim. 26 (2024)
Chenhan Zhang, Zhenlei Wang
Data-driven distributionally robust optimization under combined ambiguity for cracking production scheduling. Comput. Chem. Eng. 181 (2024)
Chenhan Zhang, Shui Yu, Zhiyi Tian, James J. Q. Yu
Generative Adversarial Networks: A Survey on Attack and Defense Perspective. ACM Comput. Surv. 56 (4) (2024)
Chenhan Zhang, Weiqi Wang, Zhiyi Tian, Shui Yu
Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu
Machine Unlearning via Representation Forgetting With Parameter Self-Sharing. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Zhiyi Tian, Lei Cui, Chenhan Zhang, Shuaishuai Tan, Shui Yu, Yonghong Tian
The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Zhiyi Tian, Hiep Vo, Chenhan Zhang, Geyong Min, Shui Yu
An Asynchronous Multi-Task Semantic Communication Method. IEEE Netw. 38 (4) (2024)
Weiqi Wang, Zhiyi Tian, Chenhan Zhang, An Liu, Shui Yu
BFU: Bayesian Federated Unlearning with Parameter Self-Sharing. AsiaCCS (2023)
Ping Li, Chenhan Zhang, Xianghua Xu
Fast Fourier Inception Networks for Occluded Video Prediction. CoRR (2023)
Chenhan Zhang, Weiqi Wang, James J. Q. Yu, Shui Yu
Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. AsiaCCS (2023)
Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, Shui Yu
Construct New Graphs Using Information Bottleneck Against Property Inference Attacks. ICC (2023)
Zhiyi Tian, Chenhan Zhang, Keshav Sood, Shui Yu
Inferring Private Data from AI Models in Metaverse through Black-box Model Inversion Attacks. MetaCom (2023)
Chenhan Zhang, Zhenlei Wang
Optimal scheduling of ethylene plants under uncertainty: An unsupervised learning-based data-driven strategy. Comput. Ind. Eng. 183 (2023)
Weiqi Wang, Chenhan Zhang, Shushu Liu, Mingjian Tang, An Liu, Shui Yu
FedMC: Federated Learning with Mode Connectivity Against Distributed Backdoor Attacks. ICC (2023)
Chenhan Zhang, Shiyao Zhang, James J. Q. Yu, Shui Yu
SAM: Query-efficient Adversarial Attacks against Graph Neural Networks. ACM Trans. Priv. Secur. 26 (4) (2023)
Chenhan Zhang, Shuyu Zhang, Xiexin Zou, Shui Yu, James J. Q. Yu
Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach. IEEE Internet Things J. 10 (5) (2023)
Chenhan Zhang, Shaopeng Jiang, Heyun Wang, Joshua Liu, Amit Jain, Mehran Armand
Data-Driven Shape Sensing in Continuum Manipulators via Sliding Resistive Flex Sensors. CoRR (2023)
Mingjian Tang, Weiqi Wang, Chenhan Zhang, Shui Yu
RUE: Realising Unlearning from the Perspective of Economics. TrustCom (2023)
Weiqi Wang, Shushu Liu, Chenhan Zhang, Mingjian Tang, Feng Wu, Shui Yu
CP-FL: Practical Gradient Leakage Defense in Federated Learning with Compressive Privacy. GLOBECOM (2023)
Ping Li, Chenhan Zhang, Zheng Yang, Xianghua Xu, Mingli Song
Pair-wise Layer Attention with Spatial Masking for Video Prediction. CoRR (2023)
Chenhan Zhang, Shiyao Zhang, Shui Yu, James J. Q. Yu
Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. WCNC (2022)
Zhiyi Tian, Chenhan Zhang, Lei Cui, Shui Yu
GSMI: A Gradient Sign Optimization Based Model Inversion Method. AI (2022)
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu
Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach. IEEE Internet Things J. 9 (14) (2022)
Kaiyue Zhang, Xuan Song, Chenhan Zhang, Shui Yu
Challenges and future directions of secure federated learning: a survey. Frontiers Comput. Sci. 16 (5) (2022)
Xiexin Zou, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu, Edward Chung
Long-Term Origin-Destination Demand Prediction With Graph Deep Learning. IEEE Trans. Big Data 8 (6) (2022)
Chenhan Zhang, Lei Cui, Shui Yu, James J. Q. Yu
A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting. IEEE Internet Things J. 9 (14) (2022)
Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu
Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network. ITSC (2021)
Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. IEEE Trans. Comput. Soc. Syst. 8 (3) (2021)
Yixuan Yang, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu
Origin-Destination Matrix Prediction via Hexagon-based Generated Graph. ITSC (2021)
Jing Lin, Chenhan Zhang, Shui Yu
Safeguard the Original Data in Federated Learning via Data Decomposition. GLOBECOM (2021)
Xiaozhuang Song, Ying Wu, Chenhan Zhang
TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. ICANN (1) (2021)
Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting. IEEE Trans. Ind. Informatics 17 (12) (2021)
Chenhan Zhang
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. CoRR (2020)
Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu
FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. ITSC (2020)
Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. GLOBECOM (2020)
Chenhan Zhang, James Jian Qiao Yu, Yi Liu
Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. IEEE Access 7 (2019)