Chenhan Zhang - RankMe

65 papers A 3B 6Misc 2Journal 45Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BlindU: Blind Machine Unlearning Without Revealing Erasing Data. IEEE Trans. Pattern Anal. Mach. Intell. Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Shui Yu
2026	J	`jnl`	BlindU: Blind Machine Unlearning without Revealing Erasing Data. CoRR Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Shui Yu
2026	J	`jnl`	Classification and Feature Extraction Algorithm for On-Orbit Spacecraft Based on Optical-SAR Multimodal Information. IEEE Trans. Aerosp. Electron. Syst. Bijiang Jie, Baojiang Li, Manliang Cao, Jiahao Chen, Xing Gui, Chenhan Zhang, Yucan Zhang
2026	J	`jnl`	EVE: Efficient Verification of Data Erasure through Customized Perturbation in Approximate Unlearning. CoRR Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Luoyu Chen, Shui Yu
2026	A	`conf`	Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs. WSDM Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Weiqi Wang, An Liu, Dali Kaafar
2026	J	`jnl`	GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression. CoRR Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Shui Yu
2026	J	`jnl`	Information Bottleneck-Based Subgraphs Defending Against Inference Attacks in Federated Graph Learning Systems. IEEE Trans. Cogn. Commun. Netw. Chenhan Zhang, Weiqi Wang, Zhiyi Tian, Shui Yu
2026	J	`jnl`	SMS: Self-Supervised Model Seeding for Verification of Machine Unlearning. IEEE Trans. Dependable Secur. Comput. Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu
2025	J	`jnl`	A Collaborative Design of Fault Tolerance and Flux Intensifying Effect to Effectively Improve High Reliability of the PM Drive System. IEEE Trans. Ind. Electron. Li Zhang, Sisi Deng, Chenhan Zhang, Xiaoyong Zhu, Maolin Shi
2025	J	`jnl`	Backdoored Sample Cleansing for Unlabeled Datasets via Bootstrapped Dual Set Purification. IEEE Trans. Dependable Secur. Comput. Luoyu Chen, Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Shui Yu
2025	J	`jnl`	CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning. CoRR Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shushu Liu, Shui Yu
2025	J	`jnl`	CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning. IEEE Trans. Dependable Secur. Comput. Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shushu Liu, Shui Yu
2025	—	`conf`	Can Self Supervision Rejuvenate Similarity-Based Link Prediction? PAKDD (7) Chenhan Zhang, Weiqi Wang, Zhiyi Tian, James Jianqiao Yu, Dali Kaafar, An Liu, Shui Yu
2025	J	`jnl`	Design and Optimization of a Five-Phase Reverse-Salient Fault-Tolerant Permanent Magnet Motor for Electric Vehicles. IEEE Trans. Ind. Electron. Li Zhang, Xuqing Li, Xiaoyong Zhu, Chenhan Zhang
2025	Misc	`conf`	EvaSR: Rethinking Efficient Visual Attention Design for Image Super-Resolution. ICASSP Zhijian Wu, Chenhan Zhang, Dingjiang Huang
2025	J	`jnl`	Evaluation of Machine Unlearning Through Model Difference. IEEE Trans. Inf. Forensics Secur. Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu, Zhou Su
2025	J	`jnl`	FedU: Federated Unlearning via User-Side Influence Approximation Forgetting. IEEE Trans. Dependable Secur. Comput. Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu
2025	—	`conf`	Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. PAKDD (6) Hiep Vo, Zhiyi Tian, Chenhan Zhang, James Xi Zheng, Shui Yu
2025	B	`conf`	MOUSSE: A Multimodality-Oriented Unified Semantic Communication System by Contrastive Learning. WCNC Tao Zhang, Feng Wu, Zhiyi Tian, Chenhan Zhang, Shui Yu
2025	J	`jnl`	Model-Enabled Task-Oriented Semantic Communications Through Knowledge Synchronization. IEEE Trans. Cogn. Commun. Netw. Zhiyi Tian, Weiqi Wang, Chenhan Zhang, Shui Yu
2025	J	`jnl`	Property-Preserving Hashing for ℓ CoRR Hassan Asghar, Chenhan Zhang, Dali Kaafar
2025	J	`jnl`	ROSE: A Receiver-Oriented Semantic Communication Framework. IEEE Netw. Zhiyi Tian, Chenhan Zhang, Weiqi Wang, Hanna Bogucka, Shui Yu
2025	J	`jnl`	SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications. CoRR Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Shui Yu
2025	J	`jnl`	SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications. IEEE Trans. Inf. Forensics Secur. Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Shui Yu
2025	J	`jnl`	SMS: Self-supervised Model Seeding for Verification of Machine Unlearning. CoRR Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu
2025	J	`jnl`	TraceMetrix: a traceable metabolomics interactive analysis platform. J. Cheminformatics Wei Chen, Yanpeng An, Ziru Chen, Ruijin Luo, Qinwei Lu, Cong Li, Chenhan Zhang, Qingxia Huang, Qinsheng Chen, Lianglong Zhang, Xiaoxuan Yi, Yixue Li, Huiru Tang, Guoqing Zhang
2024	J	`jnl`	An Asynchronous Multi-Task Semantic Communication Method. IEEE Netw. Zhiyi Tian, Hiep Khac Vo, Chenhan Zhang, Geyong Min, Shui Yu
2024	J	`jnl`	Can Self Supervision Rejuvenate Similarity-Based Link Prediction? CoRR Chenhan Zhang, Weiqi Wang, Zhiyi Tian, James Jianqiao Yu, Mohamed Ali Kâafar, An Liu, Shui Yu
2024	J	`jnl`	Data-driven distributionally robust optimization under combined ambiguity for cracking production scheduling. Comput. Chem. Eng. Chenhan Zhang, Zhenlei Wang
2024	J	`jnl`	Fast Fourier Inception Networks for Occluded Video Prediction. IEEE Trans. Multim. Ping Li, Chenhan Zhang, Xianghua Xu
2024	J	`jnl`	Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning. IEEE Trans. Inf. Forensics Secur. Chenhan Zhang, Weiqi Wang, Zhiyi Tian, Shui Yu
2024	J	`jnl`	Generative Adversarial Networks: A Survey on Attack and Defense Perspective. ACM Comput. Surv. Chenhan Zhang, Shui Yu, Zhiyi Tian, James J. Q. Yu
2024	J	`jnl`	Machine Unlearning via Representation Forgetting With Parameter Self-Sharing. IEEE Trans. Inf. Forensics Secur. Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu
2024	J	`jnl`	Semantic Communications Toward Graph Data. IEEE Wirel. Commun. Chenhan Zhang, Zhiyi Tian, Weiqi Wang, Shui Yu
2024	J	`jnl`	Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs. CoRR Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Dali Kaafar
2024	J	`jnl`	The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Trans. Dependable Secur. Comput. Zhiyi Tian, Lei Cui, Chenhan Zhang, Shuaishuai Tan, Shui Yu, Yonghong Tian
2023	A	`conf`	BFU: Bayesian Federated Unlearning with Parameter Self-Sharing. AsiaCCS Weiqi Wang, Zhiyi Tian, Chenhan Zhang, An Liu, Shui Yu
2023	B	`conf`	CP-FL: Practical Gradient Leakage Defense in Federated Learning with Compressive Privacy. GLOBECOM Weiqi Wang, Shushu Liu, Chenhan Zhang, Mingjian Tang, Feng Wu, Shui Yu
2023	—	`conf`	Construct New Graphs Using Information Bottleneck Against Property Inference Attacks. ICC Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, Shui Yu
2023	J	`jnl`	Data-Driven Shape Sensing in Continuum Manipulators via Sliding Resistive Flex Sensors. CoRR Chenhan Zhang, Shaopeng Jiang, Heyun Wang, Joshua Liu, Amit Jain, Mehran Armand
2023	A	`conf`	Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. AsiaCCS Chenhan Zhang, Weiqi Wang, James J. Q. Yu, Shui Yu
2023	J	`jnl`	Fast Fourier Inception Networks for Occluded Video Prediction. CoRR Ping Li, Chenhan Zhang, Xianghua Xu
2023	—	`conf`	FedMC: Federated Learning with Mode Connectivity Against Distributed Backdoor Attacks. ICC Weiqi Wang, Chenhan Zhang, Shushu Liu, Mingjian Tang, An Liu, Shui Yu
2023	—	`conf`	Inferring Private Data from AI Models in Metaverse through Black-box Model Inversion Attacks. MetaCom Zhiyi Tian, Chenhan Zhang, Keshav Sood, Shui Yu
2023	J	`jnl`	Optimal scheduling of ethylene plants under uncertainty: An unsupervised learning-based data-driven strategy. Comput. Ind. Eng. Chenhan Zhang, Zhenlei Wang
2023	J	`jnl`	Pair-wise Layer Attention with Spatial Masking for Video Prediction. CoRR Ping Li, Chenhan Zhang, Zheng Yang, Xianghua Xu, Mingli Song
2023	B	`conf`	RUE: Realising Unlearning from the Perspective of Economics. TrustCom Mingjian Tang, Weiqi Wang, Chenhan Zhang, Shui Yu
2023	J	`jnl`	SAM: Query-efficient Adversarial Attacks against Graph Neural Networks. ACM Trans. Priv. Secur. Chenhan Zhang, Shiyao Zhang, James J. Q. Yu, Shui Yu
2023	J	`jnl`	Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach. IEEE Internet Things J. Chenhan Zhang, Shuyu Zhang, Xiexin Zou, Shui Yu, James J. Q. Yu
2022	J	`jnl`	A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting. IEEE Internet Things J. Chenhan Zhang, Lei Cui, Shui Yu, James J. Q. Yu
2022	J	`jnl`	Challenges and future directions of secure federated learning: a survey. Frontiers Comput. Sci. Kaiyue Zhang, Xuan Song, Chenhan Zhang, Shui Yu
2022	Misc	`conf`	GSMI: A Gradient Sign Optimization Based Model Inversion Method. AI Zhiyi Tian, Chenhan Zhang, Lei Cui, Shui Yu
2022	B	`conf`	Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. WCNC Chenhan Zhang, Shiyao Zhang, Shui Yu, James J. Q. Yu
2022	J	`jnl`	Long-Term Origin-Destination Demand Prediction With Graph Deep Learning. IEEE Trans. Big Data Xiexin Zou, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu, Edward Chung
2022	J	`jnl`	Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach. IEEE Internet Things J. Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu
2021	J	`jnl`	Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. IEEE Trans. Comput. Soc. Syst. Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song
2021	J	`jnl`	FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting. IEEE Trans. Ind. Informatics Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
2021	—	`conf`	Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network. ITSC Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu
2021	—	`conf`	Origin-Destination Matrix Prediction via Hexagon-based Generated Graph. ITSC Yixuan Yang, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu
2021	B	`conf`	Safeguard the Original Data in Federated Learning via Data Decomposition. GLOBECOM Jing Lin, Chenhan Zhang, Shui Yu
2021	—	`conf`	TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. ICANN (1) Xiaozhuang Song, Ying Wu, Chenhan Zhang
2020	B	`conf`	An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. GLOBECOM Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
2020	J	`jnl`	Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. CoRR Chenhan Zhang
2020	—	`conf`	FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. ITSC Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu
2019	J	`jnl`	Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. IEEE Access Chenhan Zhang, James Jian Qiao Yu, Yi Liu