Qiannan Zhu

According to our database, Qiannan Zhu authored at least 26 papers between 2014 and 2024.

Collaborative distances:

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

2024

Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning.

Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou

IEEE Trans. Knowl. Data Eng., March, 2024

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.

Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou

CoRR, 2024

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning.

Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang

CoRR, 2024

2023

An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality.

Feng Jiang, Qiannan Zhu, Tianhai Tian

Expert Syst. Appl., July, 2023

Integrating Representation and Interaction for Context-Aware Document Ranking.

Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-Rong Wen

ACM Trans. Inf. Syst., January, 2023

Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting.

Feng Jiang, Qiannan Zhu, Tianhai Tian

Neural Process. Lett., 2023

Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation.

Qingyu Bing, Qiannan Zhu, Zhicheng Dou

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Knowledge Graph Embedding by Double Limit Scoring Loss.

Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo

IEEE Trans. Knowl. Data Eng., 2022

Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network.

Feng Jiang, Qiannan Zhu, Jiawei Yang, Guici Chen, Tianhai Tian

Appl. Soft Comput., 2022

Learning Explicit User Interest Boundary for Recommendation.

Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Gain-Tuning Dynamic Negative Sampler for Recommendation.

Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Category-aware Multi-interest Model for Personalized Product Search.

Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion.

Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View.

Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks.

Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo

IEEE Trans. Knowl. Data Eng., 2021

Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding.

Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang

CoRR, 2021

Sentiment Analysis of Review Text Based on BiGRU-Attention and Hybrid CNN.

Qiannan Zhu, Xiaofan Jiang, Renzhen Ye

IEEE Access, 2021

2020

A Relation-Specific Attention Network for Joint Entity and Relation Extraction.

Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Knowledge-Aware Attentional Reasoning Network for Recommendation.

Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A neural translating general hyperplane for knowledge graph embedding.

Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi

J. Comput. Sci., 2019

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.

Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multilingual Knowledge Graph Embeddings with Neural Networks.

Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo

Proceedings of the Data Science - 6th International Conference, 2019

DAN: Deep Attention Neural Network for News Recommendation.

Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Knowledge Graph Embeddings via Generalized Hyperplanes.

Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Learning Knowledge Embeddings by Combining Limit-based Scoring Loss.

Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2014

A New Rough Set Based Classification Rule Generation Algorithm(RGA).

Honghai Feng, Yanyan Chen, Kaiwei Zou, Lijuan Liu, Qiannan Zhu, Zhuo Ran, Li Yao, Lijin Ji, Sai Liu

Proceedings of the Modern Advances in Applied Intelligence, 2014