Shaokun Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Pruning Strategy

Multiple Objectives

Stochastic Nature

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Chen Wang, Kaizhong Zuo, Shaokun Zhang, Chunyang Liu, Hao Peng, Wenjie Li, Zhangyi Shen, Peng Hu, Rui Wang, Biao Jie
TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction. Expert Syst. Appl. 258 (2024)
Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR (2024)
Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. ICLR (2024)
Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang
Adaptive In-conversation Team Building for Language Model Agents. CoRR (2024)
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
Training Language Model Agents without Modifying Language Models. CoRR (2024)
Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. CoRR (2023)
Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131 (5) (2023)
Shaokun Zhang, Linna Wu, Yuanchun Li, Ziqi Zhang, Hanwen Lei, Ding Li, Yao Guo, Xiangqun Chen
ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching. ISSRE (2023)
Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen
APIMind: API-driven Assessment of Runtime Description-to-permission Fidelity in Android Apps. ISSRE (2023)
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
An Empirical Study on Challenging Math Problem Solving with GPT-4. CoRR (2023)
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR (2023)
Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Tongliang Liu
Coreset Selection with Prioritized Multiple Objectives. CoRR (2023)
Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. ICLR (2023)
Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. CoRR (2023)
Chen Wang, Kaizhong Zuo, Shaokun Zhang, Hanwen Lei, Peng Hu, Zhangyi Shen, Rui Wang, Peize Zhao
PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen
How Android Apps Break the Data Minimization Principle: An Empirical Study. ASE (2023)
Hanwen Lei, Ziqi Zhang, Shaokun Zhang, Peng Jiang, Zhineng Zhong, Ningyu He, Ding Li, Yao Guo, Xiangqun Chen
Put Your Memory in Order: Efficient Domain-based Memory Isolation for WASM Applications. CCS (2023)
Shaokun Zhang, Yulei Ji, Nuodi Huang, Wenping Mou, Qingzhen Bi, Yuhan Wang
Integrated profile and thickness error compensation for curved part based on on-machine measurement. Robotics Comput. Integr. Manuf. 79 (2023)
Shaokun Zhang, Hongjin Ren, Hanzhi Zhang, Liang Xiao
The Segmentation of Knee MR Image Using Deep Networks and Pruning Strategy. CISP-BMEI (2023)
Shaokun Zhang, Yao Guo, Peize Zhao, Chuanpan Zheng, Xiangqun Chen
A Graph-Based Temporal Attention Framework for Multi-Sensor Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Shaokun Zhang, Yuanchun Li, Weixiang Yan, Yao Guo, Xiangqun Chen
Dependency-aware Form Understanding. ISSRE (2021)
Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient. CoRR (2021)
Shaokun Zhang, Zejian Kang, Zhemin Zhang, Congren Lin, Cheng Wang, Jonathan Li
A Hybrid Model for Forecasting Traffic Flow: Using Layerwise Structure and Markov Transition Matrix. IEEE Access 7 (2019)
Shaokun Zhang, Zejian Kang, Zhiyou Hong, Zhemin Zhang, Cheng Wang, Jonathan Li
Traffic Flow Prediction Based on Cascaded Artificial Neural Network. IGARSS (2018)