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2020 – today
- 2024
[j17]Chenhan Zhang
, Zhenlei Wang:
Data-driven distributionally robust optimization under combined ambiguity for cracking production scheduling. Comput. Chem. Eng. 181: 108538 (2024)- [j16]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): 91:1-91:35 (2024) - [j15]Zhiyi Tian, Hiep Vo, Chenhan Zhang, Geyong Min, Shui Yu:
An Asynchronous Multi-Task Semantic Communication Method. IEEE Netw. 38(4): 275-283 (2024) - [j14]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): 2407-2420 (2024) - [j13]Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu:
Machine Unlearning via Representation Forgetting With Parameter Self-Sharing. IEEE Trans. Inf. Forensics Secur. 19: 1099-1111 (2024) - [j12]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: 6751-6763 (2024) - [j11]Ping Li, Chenhan Zhang, Xianghua Xu:
Fast Fourier Inception Networks for Occluded Video Prediction. IEEE Trans. Multim. 26: 3418-3429 (2024) - 2023
- [j10]Chenhan Zhang, Zhenlei Wang:
Optimal scheduling of ethylene plants under uncertainty: An unsupervised learning-based data-driven strategy. Comput. Ind. Eng. 183: 109470 (2023) - [j9]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): 4506-4519 (2023) - [j8]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): 49:1-49:19 (2023) - [c15]Chenhan Zhang, Weiqi Wang, James J. Q. Yu, Shui Yu:
Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. AsiaCCS 2023: 109-121 - [c14]Weiqi Wang, Zhiyi Tian, Chenhan Zhang, An Liu, Shui Yu:
BFU: Bayesian Federated Unlearning with Parameter Self-Sharing. AsiaCCS 2023: 567-578 - [c13]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: 5165-5170 - [c12]Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, Shui Yu:
Construct New Graphs Using Information Bottleneck Against Property Inference Attacks. ICC 2023: 765-770 - [c11]Weiqi Wang, Chenhan Zhang, Shushu Liu, Mingjian Tang, An Liu, Shui Yu:
FedMC: Federated Learning with Mode Connectivity Against Distributed Backdoor Attacks. ICC 2023: 4873-4878 - [c10]Zhiyi Tian, Chenhan Zhang, Keshav Sood, Shui Yu:
Inferring Private Data from AI Models in Metaverse through Black-box Model Inversion Attacks. MetaCom 2023: 49-56 - [c9]Mingjian Tang, Weiqi Wang, Chenhan Zhang, Shui Yu:
RUE: Realising Unlearning from the Perspective of Economics. TrustCom 2023: 1165-1172 - [i4]Ping Li, Chenhan Zhang, Xianghua Xu:
Fast Fourier Inception Networks for Occluded Video Prediction. CoRR abs/2306.10346 (2023) - [i3]Ping Li, Chenhan Zhang, Zheng Yang, Xianghua Xu, Mingli Song:
Pair-wise Layer Attention with Spatial Masking for Video Prediction. CoRR abs/2311.11289 (2023) - [i2]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 abs/2311.18154 (2023) - 2022
- [j7]Kaiyue Zhang, Xuan Song, Chenhan Zhang, Shui Yu:
Challenges and future directions of secure federated learning: a survey. Frontiers Comput. Sci. 16(5): 165817 (2022) - [j6]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): 11868-11882 (2022) - [j5]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): 11918-11931 (2022) - [j4]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): 1481-1495 (2022) - [c8]Zhiyi Tian, Chenhan Zhang, Lei Cui, Shui Yu:
GSMI: A Gradient Sign Optimization Based Model Inversion Method. AI 2022: 67-78 - [c7]Chenhan Zhang, Shiyao Zhang, Shui Yu, James J. Q. Yu:
Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. WCNC 2022: 2041-2046 - 2021
- [j3]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): 754-767 (2021) - [j2]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): 8464-8474 (2021) - [c6]Jing Lin, Chenhan Zhang, Shui Yu:
Safeguard the Original Data in Federated Learning via Data Decomposition. GLOBECOM 2021: 1-6 - [c5]Xiaozhuang Song, Ying Wu, Chenhan Zhang:
TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. ICANN (1) 2021: 343-354 - [c4]Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu:
Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network. ITSC 2021: 1385-1390 - [c3]Yixuan Yang, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu:
Origin-Destination Matrix Prediction via Hexagon-based Generated Graph. ITSC 2021: 1399-1404 - 2020
- [c2]Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu:
An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. GLOBECOM 2020: 1-6 - [c1]Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu:
FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. ITSC 2020: 1-6 - [i1]Chenhan Zhang:
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. CoRR abs/2008.10835 (2020)
2010 – 2019
- 2019
- [j1]Chenhan Zhang, James Jian Qiao Yu, Yi Liu:
Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. IEEE Access 7: 166246-166256 (2019)
Coauthor Index
aka: James J. Q. Yu
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last updated on 2024-08-05 21:11 CEST by the dblp team
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