Jieyuan Zhang

According to our database, Jieyuan Zhang authored at least 31 papers between 2014 and 2026.

Collaborative distances:

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

2026

Neural Dynamics Self-Attention for Spiking Transformers.

Dehao Zhang, Fukai Guo, Shuai Wang, Jingya Wang, Jieyuan Zhang, Yimeng Shan, Malu Zhang, Yang Yang, Haizhou Li

CoRR, March, 2026

Struggling at the Start: Structural Causes of Decoding Difficulty in Code Generation.

Yuqi Zhu, Jia Li, Hao Jiang, Shengze Li, Jieyuan Zhang, Ang Li

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers.

Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference.

Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks.

Jieyuan Zhang, Xiaolong Zhou, Shuai Wang, Wenjie Wei, Hanwen Liu, Qian Sun, Malu Zhang, Yang Yang, Haizhou Li

CoRR, October, 2025

S²NN: Sub-bit Spiking Neural Networks.

Wenjie Wei, Malu Zhang, Jieyuan Zhang, Ammar Belatreche, Shuai Wang, Yimeng Shan, Hanwen Liu, Honglin Cao, Guoqing Wang, Yang Yang, Haizhou Li

CoRR, September, 2025

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer.

Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang

CoRR, August, 2025

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks.

Yimeng Shan, Zhenbang Ren, Haodi Wu, Wenjie Wei, Rui-Jie Zhu, Shuai Wang, Dehao Zhang, Yichen Xiao, Jieyuan Zhang, Kexin Shi, Jingzhinan Wang, Jason K. Eshraghian, Haicheng Qu, Jiqing Zhang, Malu Zhang, Yang Yang

CoRR, March, 2025

Hierarchical reinforcement learning based on macro actions.

Hao Jiang, Gongju Wang, Shengze Li, Jieyuan Zhang, Long Yan, Xinhai Xu

Complex Intell. Syst., 2025

GSPA-Net: Generative Semantic-Physical Alignment Network for Universal Image Manipulation Localization.

Ang Li, Jieyuan Zhang, Xunyun Liu

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Bipolar Self-attention for Spiking Transformers.

Shuai Wang, Malu Zhang, Jingya Wang, Dehao Zhang, Yimeng Shan, Jieyuan Zhang, Yichen Xiao, Honglin Cao, Haonan Zhang, Zeyu Ma, Yang Yang, Haizhou Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Temporal-coded Spiking Transformer.

Qian Sun, Chengzhuo Lu, Wenyu Chen, Wenjie Wei, Jingya Wang, Jieyuan Zhang, Xiaoli Liu, Yalan Ye, Yang Yang, Malu Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

QP-SNN: Quantized and Pruned Spiking Neural Networks.

Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Quantized Spike-driven Transformer.

Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient 3D Recognition with Event-driven Spike Sparse Convolution.

Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Generative subgoal oriented multi-agent reinforcement learning through potential field.

Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Neural Networks, 2024

Agent Allocation-Action Learning with Dynamic Heterogeneous Graph in Multi-Task Games.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

IEICE Trans. Inf. Syst., 2024

Embedding multi-agent reinforcement learning into behavior trees with unexpected interruptions.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2024

A hierarchical multi-agent allocation-action learning framework for multi-subtask games.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2024

2023

Efficient state representation with artificial potential fields for reinforcement learning.

Hao Jiang, Shengze Li, Jieyuan Zhang, Yuqi Zhu, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2023

Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Optimizing 3D Mantle Convection Simulations on Multi-cores.

Zhicheng Zhang, Jie Liu, Shengguo Li, Fan Yuan, Xiaoxiong Zhu, Qinglin Wang, Jieyuan Zhang

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games.

Xianglong Li, Yuan Li, Xinhai Xu, Donghong Liu, Jieyuan Zhang

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation.

Hao Tang, Feng Zhang, Xinhai Xu, Jieyuan Zhang, Donghong Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning.

Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns.

Nan Jiang, Haibo Li, Yuxiang Hu, Jieyuan Zhang, Wei Dai, Congjiang Li, Jiawen Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman.

Yuqi Zhu, Shengze Li, Jieyuan Zhang, Xinhai Xu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2019

Incremental Static Analysis of Probabilistic Programs.

Jieyuan Zhang

PhD thesis, 2019

Incremental precision-preserving symbolic inference for probabilistic programs.

Jieyuan Zhang, Jingling Xue

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

2017

Incremental Analysis for Probabilistic Programs.

Jieyuan Zhang, Yulei Sui, Jingling Xue

Proceedings of the Static Analysis - 24th International Symposium, 2017

2014

A fast and stable algorithm for downdating the singular value decomposition.

Jieyuan Zhang, Shengguo Li, Lizhi Cheng, Xiangke Liao, Guangquan Cheng

Comput. Math. Appl., 2014