Qihang Zhao - RankMe

28 papers A* 3Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	COINS: Semantic Ids Enhanced Cold Item Representation for Click-through Rate Prediction in E-commerce Search. WWW Qihang Zhao, Zhongbo Sun, Xiaoyang Zheng, Xian Guo, Siyuan Wang, Zihan Liang, Mingcan Peng, Ben Chen, Chenyi Lei
2026	A*	`conf`	DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou. WWW Qinyao Li, Xiaoyang Zheng, Qihang Zhao, Ke Xu, Zhongbo Sun, Chao Wang, Chenyi Lei, Han Li, Wenwu Ou
2025	—	`conf`	A Novel Joint Multistage Handover Strategy for DAPS-enabled LEO Satellite Networks. INFOCOM WKSHPS Qihang Zhao, Jinhong Li, Zhanjun Liu, Hong Liao, Chengchao Liang
2025	J	`jnl`	Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction. CoRR Qihang Zhao, Xiaoyang Zheng, Ben Chen, Zhongbo Sun, Chenyi Lei
2025	J	`jnl`	DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou. CoRR Qinyao Li, Xiaoyang Zheng, Qihang Zhao, Ke Xu, Zhongbo Sun, Chao Wang, Chenyi Lei, Han Li, Wenwu Ou
2025	J	`jnl`	OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search. CoRR Ben Chen, Xian Guo, Siyuan Wang, Zihan Liang, Yue Lv, Yufei Ma, Xinlong Xiao, Bowen Xue, Xuxin Zhang, Ying Yang, Huangyu Dai, Xing Xu, Tong Zhao, Mingcan Peng, Xiaoyang Zheng, Chao Wang, Qihang Zhao, Zhixin Zhai, Yang Zhao, Bochao Liu, Jingshan Lv, Xiao Liang, Yuqing Ding, Jing Chen, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2025	J	`jnl`	SMILE: SeMantic Ids Enhanced CoLd Item Representation for Click-through Rate Prediction in E-commerce SEarch. CoRR Qihang Zhao, Zhongbo Sun, Xiaoyang Zheng, Xian Guo, Siyuan Wang, Zihan Liang, Mingcan Peng, Ben Chen, Chenyi Lei
2025	J	`jnl`	TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Rui-Jie Zhu, Malu Zhang, Qihang Zhao, Haoyu Deng, Yule Duan, Liang-Jian Deng
2024	J	`jnl`	Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR 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
2024	J	`jnl`	Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li
2024	J	`jnl`	Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection. Appl. Intell. Qihang Zhao, Yuzhe Zhang, Xiaodong Feng
2024	J	`jnl`	Redefining Information Retrieval of Structured Database via Large Language Models. CoRR Mingzhu Wang, Yuzhe Zhang, Qihang Zhao, Juanyi Yang, Hong Zhang
2024	J	`jnl`	SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian
2024	J	`jnl`	dnaGrinder: a lightweight and high-capacity genomic foundation model. CoRR Qihang Zhao, Chi Zhang, Weixiong Zhang
2023	J	`jnl`	Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System. CoRR Qihang Zhao, Rui-Jie Zhu, Liu Yang, Yongming He, Bo Zhou, Luo Cheng
2023	J	`jnl`	RWKV: Reinventing RNNs for the Transformer Era. CoRR 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
2023	J	`jnl`	SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. CoRR Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian
2023	J	`jnl`	Towards popularity prediction of information cascades via degree distribution and deep neural networks. J. Informetrics Xiaodong Feng, Qihang Zhao, Rui-Jie Zhu
2023	—	`conf`	Uni-Match: A Semantic Unified Model for Query-Product Retrieval. Tiny Papers @ ICLR Zhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao
2023	J	`jnl`	Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li
2022	J	`jnl`	AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder. Expert Syst. Appl. Xiaodong Feng, Qihang Zhao, Yunkai Li
2022	J	`jnl`	Predicting information diffusion via deep temporal convolutional networks. Inf. Syst. Qihang Zhao, Yuzhe Zhang, Xiaodong Feng
2022	A*	`conf`	RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation. SIGIR Qihang Zhao
2022	J	`jnl`	TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. CoRR Rui-Jie Zhu, Malu Zhang, Qihang Zhao, Haoyu Deng, Yule Duan, Liang-Jian Deng
2022	J	`jnl`	Utilizing citation network structure to predict paper citation counts: A Deep learning approach. J. Informetrics Qihang Zhao, Xiaodong Feng
2021	J	`jnl`	Prediction of information cascades via content and structure proximity preserved graph level embedding. Inf. Sci. Xiaodong Feng, Qihang Zhao, Zhen Liu
2020	J	`jnl`	On modeling and predicting popularity dynamics via integrating generative model and rich features. Knowl. Based Syst. Xiaodong Feng, Qihang Zhao, Jie Ma, Guoyin Jiang
2020	J	`jnl`	Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach. CoRR Qihang Zhao