Ziyan He

According to our database, Ziyan He authored at least 15 papers between 2017 and 2026.

Collaborative distances:

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

2026

CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-Based CIM Architectures.

Yingjie Qi, Jianlei Yang, Rubing Yang, Cenlin Duan, Xiaolin He, Ziyan He, Weitao Pan, Weisheng Zhao

IEEE Trans. Computers, January, 2026

2025

RoboWheel: A Data Engine from Real-World Human Demonstrations for Cross-Embodiment Robotic Learning.

Yuhong Zhang, Zihan Gao, Shengpeng Li, Ling-Hao Chen, Kaisheng Liu, Runqing Cheng, Xiao Lin, Junjia Liu, Zhuoheng Li, Jingyi Feng, Ziyan He, Jintian Lin, Zheyan Huang, Zhifang Liu, Haoqian Wang

CoRR, December, 2025

Auto-Formulating Dynamic Programming Problems with Large Language Models.

Chenyu Zhou, Jingyuan Yang, Linwei Xin, Yitian Chen, Ziyan He, Dongdong Ge

CoRR, July, 2025

Geometry-Aware Self-Supervised Indoor 360$^{\circ }$ Depth Estimation via Asymmetric Dual-Domain Collaborative Learning.

Xu Wang, Ziyan He, Qiudan Zhang, You Yang, Tiesong Zhao, Jianmin Jiang

IEEE Trans. Multim., 2025

2024

Enhanced Real-Life Data Modeling with the Modified Burr III Odds Ratio-G Distribution.

Haochong Yang, Mingfang Huang, Xinyu Chen, Ziyan He, Shusen Pu

Axioms, June, 2024

DDC-PIM: Efficient Algorithm/Architecture Co-Design for Doubling Data Capacity of SRAM-Based Processing-in-Memory.

Cenlin Duan, Jianlei Yang, Xiaolin He, Yingjie Qi, Yikun Wang, Yiou Wang, Ziyan He, Bonan Yan, Xueyan Wang, Xiaotao Jia, Weitao Pan, Weisheng Zhao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning.

Hongpei Li, Han Zhang, Ziyan He, Yunkai Jia, Bo Jiang, Xiang Huang, Dongdong Ge

CoRR, 2024

2022

Improving Radio Tomographic Imaging Accuracy by Attention Augmented Optimization Technique.

Ziyan He, Xiaoli Ma

IEEE Signal Process. Lett., 2022

2020

Resource Allocation based on Graph Neural Networks in Vehicular Communications.

Ziyan He, Liang Wang, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang

Proceedings of the IEEE Global Communications Conference, 2020

2019

Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study.

Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Ziyan He, Andrei Marinescu, Luiz A. DaSilva

IEEE Trans. Wirel. Commun., 2019

Mixed-ADC/DAC Multipair Massive MIMO Relaying Systems: Performance Analysis and Power Optimization.

Jiayi Zhang, Linglong Dai, Ziyan He, Bo Ai, Octavia A. Dobre

IEEE Trans. Commun., 2019

2018

Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation.

Zhiyuan Jiang, Ziyan He, Sheng Chen, Andreas F. Molisch, Sheng Zhou, Zhisheng Niu

CoRR, 2018

Preliminary Study on Evaluation of Smart-Cities Technologies and Proposed UV Lifestyles.

Shengsheng Cao, Yanxi Chen, Guanghua Cheng, Fuxin Du, Wenyang Gao, Ziyan He, Shuqing Li, Shijun Lun, Haoran Ma, Qikai Su, Chuyuan Zhang, Tianyi Zhang, Zejun Zhang, Jie Zheng, Longfei Zhou, Yajun Fang

Proceedings of the 4th International Conference on Universal Village, 2018

Inferring Remote Channel State Information: Cramér-Rae Lower Bound and Deep Learning Implementation.

Zhiyuan Jiang, Ziyan He, Sheng Chen, Andreas F. Molisch, Sheng Zhou, Zhisheng Niu

Proceedings of the IEEE Global Communications Conference, 2018

2017

Performance Analysis of Mixed-ADC Massive MIMO Systems Over Rician Fading Channels.

Jiayi Zhang, Linglong Dai, Ziyan He, Shi Jin, Xu Li

IEEE J. Sel. Areas Commun., 2017