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Shaokun Zhang
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2020 – today
- 2024
- [j6]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: 125134 (2024) - [c13]Shaokun Zhang, Xinde Li, Chuanfei Hu, Jianping Xu, Huaping Liu:
DSTFormer: 3D Human Pose Estimation with a Dual-scale Spatial and Temporal Transformer Network. ICARM 2024: 484-489 - [c12]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 - [c11]Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu:
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. ICML 2024 - [c10]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Offline Training of Language Model Agents with Functions as Learnable Weights. ICML 2024 - [c9]Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. ACM Multimedia 2024: 4610-4619 - [i10]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Training Language Model Agents without Modifying Language Models. CoRR abs/2402.11359 (2024) - [i9]Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu:
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR abs/2403.11322 (2024) - [i8]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 abs/2405.19425 (2024) - [i7]Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang:
EcoAct: Economic Agent Determines When to Register What Action. CoRR abs/2411.01643 (2024) - 2023
- [j5]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): 1234-1249 (2023) - [j4]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: 102398 (2023) - [j3]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): 14580-14597 (2023) - [c8]Shaokun Zhang, Hongjin Ren, Hanzhi Zhang, Liang Xiao:
The Segmentation of Knee MR Image Using Deep Networks and Pruning Strategy. CISP-BMEI 2023: 1-5 - [c7]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: 904-918 - [c6]Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu:
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. ICLR 2023 - [c5]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: 427-438 - [c4]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: 439-450 - [c3]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: 1238-1250 - [i6]Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. CoRR abs/2305.18421 (2023) - [i5]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 abs/2306.01337 (2023) - [i4]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 abs/2308.08155 (2023) - [i3]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 abs/2310.10873 (2023) - [i2]Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Tongliang Liu:
Coreset Selection with Prioritized Multiple Objectives. CoRR abs/2311.08675 (2023) - 2022
- [j2]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): 7743-7758 (2022) - 2021
- [c2]Shaokun Zhang, Yuanchun Li, Weixiang Yan, Yao Guo, Xiangqun Chen:
Dependency-aware Form Understanding. ISSRE 2021: 139-149 - [i1]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 abs/2106.02435 (2021)
2010 – 2019
- 2019
- [j1]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: 26002-26012 (2019) - 2018
- [c1]Shaokun Zhang, Zejian Kang, Zhiyou Hong, Zhemin Zhang, Cheng Wang, Jonathan Li:
Traffic Flow Prediction Based on Cascaded Artificial Neural Network. IGARSS 2018: 7232-7235
Coauthor Index
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last updated on 2024-12-12 21:59 CET by the dblp team
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