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2020 – today
- 2024
[j10]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): 1260-1273 (2024)- [j9]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): 81:1-81:25 (2024) - [c17]Mingming Li, Songlin Hu, Fuqing Zhu, Qiannan Zhu:
Few-Shot Learning for Cold-Start Recommendation. LREC/COLING 2024: 7185-7195 - [c16]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. IJCAI 2024: 830-838 - [c15]Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou:
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. WWW 2024: 1464-1473 - [i5]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 abs/2401.14011 (2024) - [i4]Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou:
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. CoRR abs/2402.10548 (2024) - 2023
- [j8]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: 119823 (2023) - [j7]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): 3631-3654 (2023) - [j6]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): 21:1-21:23 (2023) - [c14]Qingyu Bing, Qiannan Zhu, Zhicheng Dou:
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. WSDM 2023: 402-410 - 2022
- [j5]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: 109602 (2022) - [j4]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): 5825-5839 (2022) - [c13]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: 5781-5791 - [c12]Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han:
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. WSDM 2022: 1525-1533 - [c11]Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao:
Learning Explicit User Interest Boundary for Recommendation. WWW 2022: 193-202 - [c10]Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou:
A Gain-Tuning Dynamic Negative Sampler for Recommendation. WWW 2022: 277-285 - [c9]Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen:
A Category-aware Multi-interest Model for Personalized Product Search. WWW 2022: 360-368 - 2021
- [j3]Qiannan Zhu, Xiaofan Jiang, Renzhen Ye:
Sentiment Analysis of Review Text Based on BiGRU-Attention and Hybrid CNN. IEEE Access 9: 149077-149088 (2021) - [j2]Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo:
Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks. IEEE Trans. Knowl. Data Eng. 33(5): 2015-2028 (2021) - [i3]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 abs/2109.11800 (2021) - [i2]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 abs/2110.00720 (2021) - [i1]Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao:
Learning Explicit User Interest Boundary for Recommendation. CoRR abs/2111.11026 (2021) - 2020
- [c8]Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo:
A Knowledge-Aware Attentional Reasoning Network for Recommendation. AAAI 2020: 6999-7006 - [c7]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: 4054-4060
2010 – 2019
- 2019
- [j1]Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi:
A neural translating general hyperplane for knowledge graph embedding. J. Comput. Sci. 30: 108-117 (2019) - [c6]Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo:
DAN: Deep Attention Neural Network for News Recommendation. AAAI 2019: 5973-5980 - [c5]Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo:
Multilingual Knowledge Graph Embeddings with Neural Networks. ICDS 2019: 147-157 - [c4]Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo:
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. IJCAI 2019: 1943-1949 - 2018
- [c3]Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo:
Learning Knowledge Graph Embeddings via Generalized Hyperplanes. ICCS (1) 2018: 624-638 - 2017
- [c2]Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo:
Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. CIKM 2017: 1009-1018 - 2014
- [c1]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: 369-378
Coauthor Index
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