Shaokun Zhang
Orcid: 0000-0002-8078-6300
According to our database1,
Shaokun Zhang
authored at least 27 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction.
Expert Syst. Appl., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DSTFormer: 3D Human Pose Estimation with a Dual-scale Spatial and Temporal Transformer Network.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
2023
IEEE Trans. Intell. Transp. Syst., December, 2023
Int. J. Comput. Vis., May, 2023
Integrated profile and thickness error compensation for curved part based on on-machine measurement.
Robotics Comput. Integr. Manuf., 2023
CoRR, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023
APIMind: API-driven Assessment of Runtime Description-to-permission Fidelity in Android Apps.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Put Your Memory in Order: Efficient Domain-based Memory Isolation for WASM Applications.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Proceedings of the 16th International Congress on Image and Signal Processing, 2023
2022
A Graph-Based Temporal Attention Framework for Multi-Sensor Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., 2022
2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.
CoRR, 2021
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021
2019
A Hybrid Model for Forecasting Traffic Flow: Using Layerwise Structure and Markov Transition Matrix.
IEEE Access, 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018