Shaokun Zhang

Orcid: 0000-0002-8078-6300

According to our database1, Shaokun Zhang authored at least 27 papers between 2018 and 2024.

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Bibliography

2024
TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction.
Expert Syst. Appl., 2024

EcoAct: Economic Agent Determines When to Register What Action.
CoRR, 2024

Adaptive In-conversation Team Building for Language Model Agents.
CoRR, 2024

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows.
CoRR, 2024

Training Language Model Agents without Modifying Language Models.
CoRR, 2024

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Offline Training of Language Model Agents with Functions as Learnable Weights.
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
PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion.
IEEE Trans. Intell. Transp. Syst., December, 2023

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning.
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

Coreset Selection with Prioritized Multiple Objectives.
CoRR, 2023

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework.
CoRR, 2023

An Empirical Study on Challenging Math Problem Solving with GPT-4.
CoRR, 2023

How Android Apps Break the Data Minimization Principle: An Empirical Study.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching.
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

The Segmentation of Knee MR Image Using Deep Networks and Pruning Strategy.
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

Dependency-aware Form Understanding.
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
Traffic Flow Prediction Based on Cascaded Artificial Neural Network.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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