Shaokun Zhang

According to our database, Shaokun Zhang authored at least 38 papers between 2018 and 2025.

Collaborative distances:

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

2025

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence.

Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang

CoRR, July, 2025

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training.

Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong

CoRR, July, 2025

Tfgcn: a time-varying fuzzy graph convolutional network for multi-sensor traffic flow forecasting.

Rui Wang, Kaizhong Zuo, Shaokun Zhang, Chen Wang, Zhangyi Shen, Peng Hu, Wenjie Li

Int. J. Mach. Learn. Cybern., June, 2025

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute.

Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle

CoRR, June, 2025

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale.

Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Højmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu

CoRR, May, 2025

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems.

Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu

CoRR, May, 2025

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning.

Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu

CoRR, May, 2025

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

Fair Online Influence Maximization.

Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamill, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang

Trans. Mach. Learn. Res., 2025

DPUaudit: DPU-assisted Pull-based Architecture for Near-Zero Cost System Auditing.

Peng Jiang, Hanlin Jiang, Ruizhe Huang, Hanwen Lei, Zhineng Zhong, Shaokun Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Yao Guo, Xiangqun Chen, Ding Li

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction.

Chen Wang, Kaizhong Zuo, Shaokun Zhang, Chunyang Liu, Hao Peng, Wenjie Li, Zhangyi Shen, Peng Hu, Rui Wang, Biao Jie

Expert Syst. Appl., 2024

EcoAct: Economic Agent Determines When to Register What Action.

Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang

CoRR, 2024

Adaptive In-conversation Team Building for Language Model Agents.

Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang

CoRR, 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

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts.

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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Novel Framework for Structure Descriptors-Guided Hand-drawn Floor Plan Reconstruction.

Zhentong Zhang, Juan Liu, Xinde Li, Chuanfei Hu, Fir Dunkin, Shaokun Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Offline Training of Language Model Agents with Functions as Learnable Weights.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DSTFormer: 3D Human Pose Estimation with a Dual-scale Spatial and Temporal Transformer Network.

Shaokun Zhang, Xinde Li, Chuanfei Hu, Jianping Xu, Huaping Liu

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 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

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

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