Sicheng Zhang
Orcid: 0009-0000-0128-5472
According to our database1,
Sicheng Zhang
authored at least 43 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024
Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification Models.
IEEE Trans. Cogn. Commun. Netw., August, 2024
HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., June, 2024
Optimising the flight turnaround schedules: An improved sliding time windows approach based on MILP and CP models.
Comput. Oper. Res., January, 2024
DIBAD: A Disentangled Information Bottleneck Adversarial Defense Method Using Hilbert-Schmidt Independence Criterion for Spectrum Security.
IEEE Trans. Inf. Forensics Secur., 2024
Digit. Commun. Networks, 2024
Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless Networks.
CoRR, 2024
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
CMA: A Cross-Modal Attack on Radar Signal Recognition Model Based on Time-Frequency Analysis.
Proceedings of the IEEE International Conference on Communications, 2024
[inline-graphic not available: see fulltext] FunQA: Towards Surprising Video Comprehension.
Proceedings of the Computer Vision - ECCV 2024, 2024
Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
GH-DDM: the generalized hybrid denoising diffusion model for medical image generation.
Multim. Syst., June, 2023
Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip.
World Wide Web (WWW), March, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Random Location Poisoning Backdoor Attack Against Automatic Modulation Classification in Wireless Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
2022
IEEE Internet Things J., 2022
A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network.
Expert Syst. Appl., 2022
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification.
CoRR, 2022
Heterogeneous fleet management for one-way electric carsharing system with optional orders, vehicle relocation and on-demand recharging.
Comput. Oper. Res., 2022
Bioinform., 2022
Weakly Supervised Pediatric Bone Age Assessment Using Ultrasonic Images via Automatic Anatomical RoI Detection.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Maximum Focal Inter-Class Angular Loss with Norm Constraint for Automatic Modulation Classification.
Proceedings of the IEEE Global Communications Conference, 2022
2021
IEEE Trans. Medical Imaging, 2021
Network optimisation for transporting liquefied natural gas from stations to end customers.
Int. J. Prod. Res., 2021
A hybrid multi-objective approach for real-time flexible production scheduling and rescheduling under dynamic environment in Industry 4.0 context.
Comput. Oper. Res., 2021
Proceedings of the Image and Graphics - 11th International Conference, 2021
2020
Misshapen Pelvis Landmark Detection With Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip.
IEEE Trans. Medical Imaging, 2020
Predictive analytics for blood glucose concentration: an empirical study using the tree-based ensemble approach.
Libr. Hi Tech, 2020
Int. J. Comput. Integr. Manuf., 2020
Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system.
Eur. J. Oper. Res., 2020
2019
Multi-objective location-routing model for hazardous material logistics with traffic restriction constraint in inter-city roads.
Comput. Ind. Eng., 2019
Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019
Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Flexible Assembly Job-Shop Scheduling With Sequence-Dependent Setup Times and Part Sharing in a Dynamic Environment: Constraint Programming Model, Mixed-Integer Programming Model, and Dispatching Rules.
IEEE Trans. Engineering Management, 2018
Integrated process planning and scheduling: an enhanced ant colony optimization heuristic with parameter tuning.
J. Intell. Manuf., 2018
2017
Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach.
Int. J. Prod. Res., 2017
2013
An enhanced ant colony optimization approach for integrating process planning and scheduling based on multi-agent system.
PhD thesis, 2013