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ORCIDQihang Zhao
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2020 – today
- 2024
[j8]Qihang Zhao, Yuzhe Zhang, Xiaodong Feng
:
Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection. Appl. Intell. 54(3): 2851-2866 (2024)- [j7]Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [i10]Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li:
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR abs/2402.07268 (2024) - [i9]Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - [i8]Mingzhu Wang, Yuzhe Zhang, Qihang Zhao, Juanyi Yang, Hong Zhang:
Redefining Information Retrieval of Structured Database via Large Language Models. CoRR abs/2405.05508 (2024) - [i7]Qihang Zhao, Chi Zhang, Weixiong Zhang:
dnaGrinder: a lightweight and high-capacity genomic foundation model. CoRR abs/2409.15697 (2024) - 2023
- [j6]Xiaodong Feng, Qihang Zhao, Rui-Jie Zhu:
Towards popularity prediction of information cascades via degree distribution and deep neural networks. J. Informetrics 17(3): 101413 (2023) - [c2]Zhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao:
Uni-Match: A Semantic Unified Model for Query-Product Retrieval. Tiny Papers @ ICLR 2023 - [i6]Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. CoRR abs/2302.13939 (2023) - [i5]Qihang Zhao, Rui-Jie Zhu, Liu Yang, Yongming He, Bo Zhou, Luo Cheng:
Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System. CoRR abs/2304.02434 (2023) - [i4]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:
RWKV: Reinventing RNNs for the Transformer Era. CoRR abs/2305.13048 (2023) - [i3]Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li:
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR abs/2309.00738 (2023) - 2022
- [j5]Xiaodong Feng, Qihang Zhao, Yunkai Li:
AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder. Expert Syst. Appl. 191: 116260 (2022) - [j4]Qihang Zhao, Yuzhe Zhang, Xiaodong Feng:
Predicting information diffusion via deep temporal convolutional networks. Inf. Syst. 108: 102045 (2022) - [j3]Qihang Zhao, Xiaodong Feng:
Utilizing citation network structure to predict paper citation counts: A Deep learning approach. J. Informetrics 16(1): 101235 (2022) - [c1]Qihang Zhao:
RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation. SIGIR 2022: 1812-1816 - [i2]Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng:
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. CoRR abs/2206.10177 (2022) - 2021
- [j2]Xiaodong Feng, Qihang Zhao, Zhen Liu:
Prediction of information cascades via content and structure proximity preserved graph level embedding. Inf. Sci. 560: 424-440 (2021) - 2020
- [j1]Xiaodong Feng, Qihang Zhao, Jie Ma, Guoyin Jiang:
On modeling and predicting popularity dynamics via integrating generative model and rich features. Knowl. Based Syst. 196: 105786 (2020) - [i1]Qihang Zhao:
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach. CoRR abs/2009.02647 (2020)
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