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dblp: Qihang Zhao https://dblp.org/pid/264/3765.html dblp person page RSS feed Mon, 18 Nov 2024 20:46:05 +0100 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Qihang Zhaohttps://dblp.org/pid/264/3765.html14451 Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection.https://doi.org/10.1007/s10489-024-05312-5Qihang 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)]]>https://dblp.org/rec/journals/apin/ZhaoZF24Thu, 01 Feb 2024 00:00:00 +0100 SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.https://openreview.net/forum?id=gcf1anBL9eRui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)]]>https://dblp.org/rec/journals/tmlr/ZhuZLE24Mon, 01 Jan 2024 00:00:00 +0100 Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer.https://doi.org/10.48550/arXiv.2402.07268Zehao 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)]]>https://dblp.org/rec/journals/corr/abs-2402-07268Mon, 01 Jan 2024 00:00:00 +0100 Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.https://doi.org/10.48550/arXiv.2404.05892Bo 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)]]>https://dblp.org/rec/journals/corr/abs-2404-05892Mon, 01 Jan 2024 00:00:00 +0100 Redefining Information Retrieval of Structured Database via Large Language Models.https://doi.org/10.48550/arXiv.2405.05508Mingzhu Wang, Yuzhe Zhang, Qihang Zhao, Juanyi Yang, Hong Zhang:
Redefining Information Retrieval of Structured Database via Large Language Models. CoRR abs/2405.05508 (2024)]]>https://dblp.org/rec/journals/corr/abs-2405-05508Mon, 01 Jan 2024 00:00:00 +0100 dnaGrinder: a lightweight and high-capacity genomic foundation model.https://doi.org/10.48550/arXiv.2409.15697Qihang Zhao, Chi Zhang, Weixiong Zhang:
dnaGrinder: a lightweight and high-capacity genomic foundation model. CoRR abs/2409.15697 (2024)]]>https://dblp.org/rec/journals/corr/abs-2409-15697Mon, 01 Jan 2024 00:00:00 +0100 Towards popularity prediction of information cascades via degree distribution and deep neural networks.https://doi.org/10.1016/j.joi.2023.101413Xiaodong 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)]]>https://dblp.org/rec/journals/joi/FengZZ23Tue, 01 Aug 2023 01:00:00 +0200 Uni-Match: A Semantic Unified Model for Query-Product Retrieval.https://openreview.net/forum?id=91Bcj6sgcxtZhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao:
Uni-Match: A Semantic Unified Model for Query-Product Retrieval. Tiny Papers @ ICLR 2023]]>https://dblp.org/rec/conf/iclr/ZhuZGZ23Sun, 01 Jan 2023 00:00:00 +0100 SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.https://doi.org/10.48550/arXiv.2302.13939Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. CoRR abs/2302.13939 (2023)]]>https://dblp.org/rec/journals/corr/abs-2302-13939Sun, 01 Jan 2023 00:00:00 +0100 Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System.https://doi.org/10.48550/arXiv.2304.02434Qihang 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)]]>https://dblp.org/rec/journals/corr/abs-2304-02434Sun, 01 Jan 2023 00:00:00 +0100 RWKV: Reinventing RNNs for the Transformer Era.https://doi.org/10.48550/arXiv.2305.13048Bo 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)]]>https://dblp.org/rec/journals/corr/abs-2305-13048Sun, 01 Jan 2023 00:00:00 +0100 Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction.https://doi.org/10.48550/arXiv.2309.00738Zehao 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)]]>https://dblp.org/rec/journals/corr/abs-2309-00738Sun, 01 Jan 2023 00:00:00 +0100 AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder.https://doi.org/10.1016/j.eswa.2021.116260Xiaodong 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)]]>https://dblp.org/rec/journals/eswa/FengZL22Sat, 01 Jan 2022 00:00:00 +0100 Predicting information diffusion via deep temporal convolutional networks.https://doi.org/10.1016/j.is.2022.102045Qihang Zhao

, Yuzhe Zhang

, Xiaodong Feng:
Predicting information diffusion via deep temporal convolutional networks. Inf. Syst. 108: 102045 (2022)]]>https://dblp.org/rec/journals/is/ZhaoZF22Sat, 01 Jan 2022 00:00:00 +0100 Utilizing citation network structure to predict paper citation counts: A Deep learning approach.https://doi.org/10.1016/j.joi.2021.101235Qihang Zhao, Xiaodong Feng:
Utilizing citation network structure to predict paper citation counts: A Deep learning approach. J. Informetrics 16(1): 101235 (2022)]]>https://dblp.org/rec/journals/joi/ZhaoF22Sat, 01 Jan 2022 00:00:00 +0100 RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation.https://doi.org/10.1145/3477495.3532054Qihang Zhao:
RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation. SIGIR 2022: 1812-1816]]>https://dblp.org/rec/conf/sigir/Zhao22Sat, 01 Jan 2022 00:00:00 +0100 TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.https://doi.org/10.48550/arXiv.2206.10177Rui-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)]]>https://dblp.org/rec/journals/corr/abs-2206-10177Sat, 01 Jan 2022 00:00:00 +0100 Prediction of information cascades via content and structure proximity preserved graph level embedding.https://doi.org/10.1016/j.ins.2020.12.074Xiaodong Feng, Qihang Zhao, Zhen Liu:
Prediction of information cascades via content and structure proximity preserved graph level embedding. Inf. Sci. 560: 424-440 (2021)]]>https://dblp.org/rec/journals/isci/FengZL21Fri, 01 Jan 2021 00:00:00 +0100 On modeling and predicting popularity dynamics via integrating generative model and rich features.https://doi.org/10.1016/j.knosys.2020.105786Xiaodong 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)]]>https://dblp.org/rec/journals/kbs/FengZMJ20Wed, 01 Jan 2020 00:00:00 +0100 Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach.https://arxiv.org/abs/2009.02647Qihang Zhao:
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach. CoRR abs/2009.02647 (2020)]]>https://dblp.org/rec/journals/corr/abs-2009-02647Wed, 01 Jan 2020 00:00:00 +0100