Zihan Huang

According to our database, Zihan Huang authored at least 35 papers between 2013 and 2025.

Collaborative distances:

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

2025

Predicting Mobile App Usage With Context-Aware Dynamic Hypergraphs.

Zihan Huang, Tong Li, Xing Wang, Kexin Yang, Chao Deng, Junlan Feng, Yong Li

IEEE Trans. Mob. Comput., June, 2025

Frequency Division Multiple Access Extension of Standard UHF RFID Systems for Multiple Tags Inventory With Successive Interference Cancellation.

Zihan Huang, Ruiming Wen, Jie Meng, Daniele Inserra, Jingfang Su, Rui Guo, Pengju Kuang, Gang Li, Guangjun Wen

IEEE Internet Things J., June, 2025

Reinforcement Learning for Active Matter.

Wenjie Cai, Gongyi Wang, Yu Zhang, Xiang Qu, Zihan Huang

CoRR, March, 2025

Differential Coding for Training-Free ANN-to-SNN Conversion.

Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang

CoRR, March, 2025

Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields.

Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou

CoRR, January, 2025

AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding.

Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu

IEEE Trans. Multim., 2025

2024

High-Precision Temperature Sensor System With Mercury-Based Electromagnetic Resonant Unit.

Yongjun Huang, Liang Ma, Zihan Huang, Pengju Kuang, Chengwei Xian, Yuedan Zhou, Jian Li, Guangjun Wen

IEEE Internet Things J., April, 2024

AppGen: Mobility-aware App Usage Behavior Generation for Mobile Users.

Zihan Huang, Tong Li, Yong Li

CoRR, 2024

Machine Learning Analysis of Anomalous Diffusion.

Wenjie Cai, Yi Hu, Xiang Qu, Hui Zhao, Gongyi Wang, Jing Li, Zihan Huang

CoRR, 2024

A Survey on Human-Centric LLMs.

Jing Yi Wang, Nicholas Sukiennik, Tong Li, Weikang Su, Qianyue Hao, Jingbo Xu, Zihan Huang, Fengli Xu, Yong Li

CoRR, 2024

Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning.

Bokai Hu, Sai Ashish Somayajula, Xin Pan, Zihan Huang, Pengtao Xie

CoRR, 2024

GenML: A Python Library to Generate the Mittag-Leffler Correlated Noise.

Xiang Qu, Hui Zhao, Wenjie Cai, Gongyi Wang, Zihan Huang

CoRR, 2024

Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks.

Yuxuan Si, Zihan Huang, Zhengqing Fang, Zhouhang Yuan, Zhengxing Huang, Yingming Li, Ying Wei, Fei Wu, Yu-Feng Yao

Briefings Bioinform., 2024

Unsupervised Low Light Image Enhancement via SNR-Aware Swin Transformer.

Zhijian Luo, Jiahui Tang, Kaihua Zhou, Zihan Huang, Jiao Zhang, Yueen Hou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Towards High-performance Spiking Transformers from ANN to SNN Conversion.

Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

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

Evaluating the Impact of a Semi-Autonomous Interface on Configuration Space Accessibility for Multi-DOF Upper Limb Prostheses.

Rebecca J. Greene, Christopher L. Hunt, Brooklyn Acosta, Zihan Huang, Rahul R. Kaliki, Nitish V. Thakor

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

Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems.

Zhijian Luo, Zihan Huang, Jiahui Tang, Yueen Hou, Yanzeng Gao

Proceedings of the International Joint Conference on Neural Networks, 2024

A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model.

Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Threaten Spiking Neural Networks through Combining Rate and Temporal Information.

Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Exploring the Future Design Approach to Ageing Based on the Double Diamond Model.

Xiaochun Wang, Zihan Huang, Tongfei Xu, Yuting Li, Xiangang Qin

Syst., August, 2023

Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer.

Zhijian Luo, Jiahui Tang, Yueen Hou, Zihan Huang, Yanzeng Gao

CoRR, 2023

Quantization and Deployment Study of Classification Models for Embedded Platforms.

Zihan Huang, Jin Jin, Chaolong Zhang, Zhijie Xu, Yuanping Xu, Chao Kong, Qin Wen, Dan Tang

Proceedings of the 28th International Conference on Automation and Computing, 2023

A Memoryless Information Sharing RFID Tag Anti-Collision Protocol.

Yan Liu, Qi Tang, Gang Li, Zhong Huang, Zihan Huang, Xiaochuan Fang, Guangjun Wen

IAIC (2), 2023

2022

A Three-Dimensional Cyclic Multiplication - Convolution Neural Network for Hyperspectral Image Classification.

Xiaorui Xiong, Zihan Huang, Zhongyin Sheng, Zihan Xu, Xuwen He, Qiaoling Lin

Proceedings of the IEEE Smartworld, 2022

Bone and bone marrow segmentation from hip 3T magnetic resonance imaging by using local salient anatomy structure to guide deep learning-based object localization and delineation.

Yubing Tong, Zihan Huang, Jayaram K. Udupa, Leihui Tong, Brandon C. Jones, Gregory Chang, Drew A. Torigian, Chamith S. Rajapakse

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI.

You Hao, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Lipeng Xie, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

WaveNet-Based Deep Neural Networks for the Characterization of Anomalous Diffusion (WADNet).

Dezhong Li, Qiujin Yao, Zihan Huang

CoRR, 2021

Automatic upper airway segmentation in static and dynamic MRI via deep convolutional neural networks.

Lipeng Xie, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Jennifer Ben Nathan, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Context-aware legal citation recommendation using deep learning.

Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Daniel E. Ho, Mark S. Krass, Matthias Grabmair

Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

2019

Entropic Effects in Polymer Nanocomposites.

Xiaobin Dai, Cuiling Hou, Ziyang Xu, Ye Yang, Guolong Zhu, Pengyu Chen, Zihan Huang, Li-Tang Yan

Entropy, 2019

A Discussion on Influence of Newspaper Headlines on Social Media.

Aneek Barman Roy, Baolei Chen, Siddharth Tiwari, Zihan Huang

CoRR, 2019

2018

Large Scale Measurement and Analytics on Social Groups of Device-to-Device Sharing in Mobile Social Networks.

Shanjia Wang, Yuhua Zhang, Hui Wang, Zihan Huang, Xiaofei Wang, Tianpeng Jiang

Mob. Networks Appl., 2018

2017

Spark-Based Measurement and Analysis on Offline Mobile Application Market over Device-to-Device Sharing in Mobile Social Networks.

Yuhua Zhang, Zihan Huang, Shanjia Wang, Xiaofei Wang, Tianpeng Jiang

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2015

MR image super-resolution via manifold regularized sparse learning.

Xiaoqiang Lu, Zihan Huang, Yuan Yuan

Neurocomputing, 2015

2013

Mixture gradient detector for subpixel detection.

Zihan Huang, Yuan Yuan, Xiaoqiang Lu

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013