Qihang Zhao

According to our database, Qihang Zhao authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection.

Qihang Zhao, Yuzhe Zhang, Xiaodong Feng

Appl. Intell., February, 2024

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer.

Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li

CoRR, 2024

2023

Towards popularity prediction of information cascades via degree distribution and deep neural networks.

Xiaodong Feng, Qihang Zhao, Rui-Jie Zhu

J. Informetrics, August, 2023

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction.

Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu

CoRR, 2023

Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System.

Qihang Zhao, Rui-Jie Zhu, Liu Yang, Yongming He, Bo Zhou, Luo Cheng

CoRR, 2023

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.

Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian

CoRR, 2023

Uni-Match: A Semantic Unified Model for Query-Product Retrieval.

Zhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Utilizing citation network structure to predict paper citation counts: A Deep learning approach.

Qihang Zhao, Xiaodong Feng

J. Informetrics, 2022

Predicting information diffusion via deep temporal convolutional networks.

Qihang Zhao, Yuzhe Zhang, Xiaodong Feng

Inf. Syst., 2022

AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder.

Xiaodong Feng, Qihang Zhao, Yunkai Li

Expert Syst. Appl., 2022

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.

Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng

CoRR, 2022

RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation.

Qihang Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Prediction of information cascades via content and structure proximity preserved graph level embedding.

Xiaodong Feng, Qihang Zhao, Zhen Liu

Inf. Sci., 2021

2020

On modeling and predicting popularity dynamics via integrating generative model and rich features.

Xiaodong Feng, Qihang Zhao, Jie Ma, Guoyin Jiang

Knowl. Based Syst., 2020

Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach.

Qihang Zhao

CoRR, 2020