Shaokun Zhang

According to our database, Shaokun Zhang authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu

CoRR, 2024

Training Language Model Agents without Modifying Language Models.

Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu

CoRR, 2024

2023

PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion.

Chen Wang, Kaizhong Zuo, Shaokun Zhang, Hanwen Lei, Peng Hu, Zhangyi Shen, Rui Wang, Peize Zhao

IEEE Trans. Intell. Transp. Syst., December, 2023

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning.

Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji

Int. J. Comput. Vis., May, 2023

Integrated profile and thickness error compensation for curved part based on on-machine measurement.

Shaokun Zhang, Yulei Ji, Nuodi Huang, Wenping Mou, Qingzhen Bi, Yuhan Wang

Robotics Comput. Integr. Manuf., 2023

Coreset Selection with Prioritized Multiple Objectives.

Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Tongliang Liu

CoRR, 2023

IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models.

Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu

CoRR, 2023

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

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang

CoRR, 2023

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

Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang

CoRR, 2023

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts.

Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang

CoRR, 2023

How Android Apps Break the Data Minimization Principle: An Empirical Study.

Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

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

Shaokun Zhang, Linna Wu, Yuanchun Li, Ziqi Zhang, Hanwen Lei, Ding Li, Yao Guo, Xiangqun Chen

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.

Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives.

Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Put Your Memory in Order: Efficient Domain-based Memory Isolation for WASM Applications.

Hanwen Lei, Ziqi Zhang, Shaokun Zhang, Peng Jiang, Zhineng Zhong, Ningyu He, Ding Li, Yao Guo, Xiangqun Chen

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.

Shaokun Zhang, Hongjin Ren, Hanzhi Zhang, Liang Xiao

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.

Shaokun Zhang, Yao Guo, Peize Zhao, Chuanpan Zheng, Xiangqun Chen

IEEE Trans. Intell. Transp. Syst., 2022

2021

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.

Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

CoRR, 2021

Dependency-aware Form Understanding.

Shaokun Zhang, Yuanchun Li, Weixiang Yan, Yao Guo, Xiangqun Chen

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.

Shaokun Zhang, Zejian Kang, Zhemin Zhang, Congren Lin, Cheng Wang, Jonathan Li

IEEE Access, 2019

2018

Traffic Flow Prediction Based on Cascaded Artificial Neural Network.

Shaokun Zhang, Zejian Kang, Zhiyou Hong, Zhemin Zhang, Cheng Wang, Jonathan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018