Qiannan Zhu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

News Recommendation

Graph Embedding

Breast Cancer Detection

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Mingming Li, Songlin Hu, Fuqing Zhu, Qiannan Zhu
Few-Shot Learning for Cold-Start Recommendation. LREC/COLING (2024)
Shuting Wang, Zhicheng Dou, Jiongnan Liu, Qiannan Zhu, Ji-Rong Wen
Personalized and Diversified: Ranking Search Results in an Integrated Way. ACM Trans. Inf. Syst. 42 (3) (2024)
Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. CoRR (2024)
Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. WWW (2024)
Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou
Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning. CoRR (2024)
Feng Jiang, Qiannan Zhu, Tianhai Tian
Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting. Neural Process. Lett. 55 (4) (2023)
Qingyu Bing, Qiannan Zhu, Zhicheng Dou
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. WSDM (2023)
Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-Rong Wen
Integrating Representation and Interaction for Context-Aware Document Ranking. ACM Trans. Inf. Syst. 41 (1) (2023)
Feng Jiang, Qiannan Zhu, Tianhai Tian
An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality. Expert Syst. Appl. 222 (2023)
Feng Jiang, Qiannan Zhu, Jiawei Yang, Guici Chen, Tianhai Tian
Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network. Appl. Soft Comput. 129 (2022)
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. WSDM (2022)
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao
Learning Explicit User Interest Boundary for Recommendation. WWW (2022)
Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAI (2022)
Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen
A Category-aware Multi-interest Model for Personalized Product Search. WWW (2022)
Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou
A Gain-Tuning Dynamic Negative Sampler for Recommendation. WWW (2022)
Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo
Knowledge Graph Embedding by Double Limit Scoring Loss. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo
Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Qiannan Zhu, Xiaofan Jiang, Renzhen Ye
Sentiment Analysis of Review Text Based on BiGRU-Attention and Hybrid CNN. IEEE Access 9 (2021)
Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View. CoRR (2021)
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao
Learning Explicit User Interest Boundary for Recommendation. CoRR (2021)
Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding. CoRR (2021)
Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo
A Relation-Specific Attention Network for Joint Entity and Relation Extraction. IJCAI (2020)
Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
A Knowledge-Aware Attentional Reasoning Network for Recommendation. AAAI (2020)
Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo
Multilingual Knowledge Graph Embeddings with Neural Networks. ICDS (2019)
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo
DAN: Deep Attention Neural Network for News Recommendation. AAAI (2019)
Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. IJCAI (2019)
Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi
A neural translating general hyperplane for knowledge graph embedding. J. Comput. Sci. 30 (2019)
Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo
Learning Knowledge Graph Embeddings via Generalized Hyperplanes. ICCS (1) (2018)
Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo
Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. CIKM (2017)
Honghai Feng, Yanyan Chen, Kaiwei Zou, Lijuan Liu, Qiannan Zhu, Zhuo Ran, Li Yao, Lijin Ji, Sai Liu
A New Rough Set Based Classification Rule Generation Algorithm(RGA). IEA/AIE (1) (2014)