Jieyuan Zhang - RankMe

32 papers A* 7A 1B 3C 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference. AAAI Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang
2026	J	`jnl`	Neural Dynamics Self-Attention for Spiking Transformers. CoRR Dehao Zhang, Fukai Guo, Shuai Wang, Jingya Wang, Jieyuan Zhang, Yimeng Shan, Malu Zhang, Yang Yang, Haizhou Li
2026	A*	`conf`	Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers. AAAI Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang
2025	A*	`conf`	Efficient 3D Recognition with Event-driven Spike Sparse Convolution. AAAI Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li
2025	—	`conf`	GSPA-Net: Generative Semantic-Physical Alignment Network for Universal Image Manipulation Localization. PRCV (8) Ang Li, Jieyuan Zhang, Xunyun Liu
2025	J	`jnl`	Hierarchical reinforcement learning based on macro actions. Complex Intell. Syst. Hao Jiang, Gongju Wang, Shengze Li, Jieyuan Zhang, Long Yan, Xinhai Xu
2025	A*	`conf`	QP-SNN: Quantized and Pruned Spiking Neural Networks. ICLR Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang
2025	J	`jnl`	QP-SNN: Quantized and Pruned Spiking Neural Networks. CoRR Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang
2025	A*	`conf`	Quantized Spike-driven Transformer. ICLR Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li
2025	J	`jnl`	Quantized Spike-driven Transformer. CoRR Xuerui Qiu, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Malu Zhang, Haizhou Li
2025	J	`jnl`	S CoRR Wenjie Wei, Malu Zhang, Jieyuan Zhang, Ammar Belatreche, Shuai Wang, Yimeng Shan, Hanwen Liu, Honglin Cao, Guoqing Wang, Yang Yang, Haizhou Li
2025	J	`jnl`	SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks. CoRR 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
2025	A*	`conf`	Temporal-coded Spiking Transformer. ACM Multimedia Qian Sun, Chengzhuo Lu, Wenyu Chen, Wenjie Wei, Jingya Wang, Jieyuan Zhang, Xiaoli Liu, Yalan Ye, Yang Yang, Malu Zhang
2025	J	`jnl`	Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer. CoRR Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang
2025	J	`jnl`	Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks. CoRR Jieyuan Zhang, Xiaolong Zhou, Shuai Wang, Wenjie Wei, Hanwen Liu, Qian Sun, Malu Zhang, Yang Yang, Haizhou Li
2024	J	`jnl`	A hierarchical multi-agent allocation-action learning framework for multi-subtask games. Complex Intell. Syst. Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2024	J	`jnl`	Agent Allocation-Action Learning with Dynamic Heterogeneous Graph in Multi-Task Games. IEICE Trans. Inf. Syst. Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2024	J	`jnl`	Efficient 3D Recognition with Event-driven Spike Sparse Convolution. CoRR Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li
2024	J	`jnl`	Embedding multi-agent reinforcement learning into behavior trees with unexpected interruptions. Complex Intell. Syst. Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2024	J	`jnl`	Generative subgoal oriented multi-agent reinforcement learning through potential field. Neural Networks Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2023	B	`conf`	Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games. CogSci Xianglong Li, Yuan Li, Xinhai Xu, Donghong Liu, Jieyuan Zhang
2023	J	`jnl`	Efficient state representation with artificial potential fields for reinforcement learning. Complex Intell. Syst. Hao Jiang, Shengze Li, Jieyuan Zhang, Yuqi Zhu, Xinhai Xu, Donghong Liu
2023	—	`conf`	Optimizing 3D Mantle Convection Simulations on Multi-cores. HPCC/DSS/SmartCity/DependSys Zhicheng Zhang, Jie Liu, Shengguo Li, Fan Yuan, Xiaoxiong Zhu, Qinglin Wang, Jieyuan Zhang
2023	—	`conf`	Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games. ICONIP (8) Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2022	B	`conf`	A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation. ICTAI Hao Tang, Feng Zhang, Xinhai Xu, Jieyuan Zhang, Donghong Liu
2022	A	`conf`	Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. CIKM Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu
2021	J	`jnl`	A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nan Jiang, Haibo Li, Yuxiang Hu, Jieyuan Zhang, Wei Dai, Congjiang Li, Jiawen Zhou
2021	C	`conf`	Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman. ISCAS Yuqi Zhu, Shengze Li, Jieyuan Zhang, Xinhai Xu
2019	—	`—`	Incremental Static Analysis of Probabilistic Programs. Jieyuan Zhang
2019	A*	`conf`	Incremental precision-preserving symbolic inference for probabilistic programs. PLDI Jieyuan Zhang, Jingling Xue
2017	B	`conf`	Incremental Analysis for Probabilistic Programs. SAS Jieyuan Zhang, Yulei Sui, Jingling Xue
2014	J	`jnl`	A fast and stable algorithm for downdating the singular value decomposition. Comput. Math. Appl. Jieyuan Zhang, Shengguo Li, Lizhi Cheng, Xiangke Liao, Guangquan Cheng