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 (IEA/AIE (1), 2014)

Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. - Xiaofei Zhou; Qiannan Zhu; Ping Liu 001; Li Guo 001 (CIKM, 2017)

Learning Knowledge Graph Embeddings via Generalized Hyperplanes. - Qiannan Zhu; Xiaofei Zhou; Jianlong Tan; Ping Liu 001; Li Guo 001 (ICCS (1), 2018)

DAN: Deep Attention Neural Network for News Recommendation. - Qiannan Zhu; Xiaofei Zhou; Zeliang Song; Jianlong Tan; Li Guo 001 (AAAI, 2019)

Multilingual Knowledge Graph Embeddings with Neural Networks. - Qiannan Zhu; Xiaofei Zhou; Yuwen Wu; Ping Liu 001; Li Guo 001 (ICDS, 2019)

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. - Qiannan Zhu; Xiaofei Zhou; Jia Wu 001; Jianlong Tan; Li Guo 001 (IJCAI, 2019)

A neural translating general hyperplane for knowledge graph embedding. - Qiannan Zhu; Xiaofei Zhou; Peng Zhang 001; Yong Shi 001 (J. Comput. Sci., 2019)

A Knowledge-Aware Attentional Reasoning Network for Recommendation. - Qiannan Zhu; Xiaofei Zhou; Jia Wu 001; Jianlong Tan; Li Guo 001 (AAAI, 2020)

A Relation-Specific Attention Network for Joint Entity and Relation Extraction. - Yue Yuan; Xiaofei Zhou; Shirui Pan; Qiannan Zhu; Zeliang Song; Li Guo 001 (IJCAI, 2020)

Sentiment Analysis of Review Text Based on BiGRU-Attention and Hybrid CNN. - Qiannan Zhu; Xiaofan Jiang 005; Renzhen Ye (IEEE Access, 2021)

Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding. - Ren Li; Yanan Cao 001; Qiannan Zhu; Xiaoxue Li; Fang Fang 009 (CoRR, 2021)

Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks. - Qiannan Zhu; Xiaofei Zhou; Jianlong Tan; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2021)

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. - Ren Li; Yanan Cao 001; Qiannan Zhu; Guanqun Bi; Fang Fang 009; Yi Liu 067; Qian Li 003 (AAAI, 2022)

A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. - Jianhuan Zhuo; Qiannan Zhu; Yinliang Yue; Yuhong Zhao; Weisi Han (WSDM, 2022)

A Category-aware Multi-interest Model for Personalized Product Search. - Jiongnan Liu; Zhicheng Dou; Qiannan Zhu; Ji-Rong Wen (WWW, 2022)

A Gain-Tuning Dynamic Negative Sampler for Recommendation. - Qiannan Zhu; Haobo Zhang; Qing He 006; Zhicheng Dou (WWW, 2022)

Learning Explicit User Interest Boundary for Recommendation. - Jianhuan Zhuo; Qiannan Zhu; Yinliang Yue; Yuhong Zhao (WWW, 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)

Knowledge Graph Embedding by Double Limit Scoring Loss. - Xiaofei Zhou; Lingfeng Niu; Qiannan Zhu; Xingquan Zhu 001; Ping Liu 001; Jianlong Tan; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2022)

Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. - Qingyu Bing; Qiannan Zhu; Zhicheng Dou (WSDM, 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)

Integrating Representation and Interaction for Context-Aware Document Ranking. - Haonan Chen 005; Zhicheng Dou; Qiannan Zhu; Xiaochen Zuo; Ji-Rong Wen (ACM Trans. Inf. Syst., 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., 2023)

Few-Shot Learning for Cold-Start Recommendation. - Mingming Li; Songlin Hu 001; Fuqing Zhu; Qiannan Zhu (LREC/COLING, 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 023; Qiannan Zhu; Hua Huang (IJCAI, 2024)

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. - Yujia Zhou 002; Qiannan Zhu; Jiajie Jin; Zhicheng Dou (WWW, 2024)

Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning. - Qiannan Zhu; Haobo Zhang; Qing He 006; Zhicheng Dou (IEEE Trans. Knowl. Data Eng., 2024)

Personalized and Diversified: Ranking Search Results in an Integrated Way. - Shuting Wang 002; Zhicheng Dou; Jiongnan Liu; Qiannan Zhu; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition. - Zesheng Liu; Qiannan Zhu; Cuiping Li; Hong Chen (AAAI, 2025)

Federated Incremental Named Entity Recognition. - Zesheng Liu; Qiannan Zhu; Cuiping Li 001; Hong Chen 001 (COLING, 2025)

Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval. - Haobo Zhang; Qiannan Zhu; Zhicheng Dou (COLING, 2025)

Efficient Non-Sequential Relational Modeling for Temporal Knowledge Graph Link Predictions. - Linhua Dong; Xiaofei Zhou; Qiannan Zhu; Xu Bai; Gang Xiong (ICASSP, 2025)

Improving Embeddings by Refining Meanings for Temporal Knowledge Graph Link Predictions. - Linhua Dong; Xiaofei Zhou; Qiannan Zhu; Xu Bai; Gang Xiong (ICASSP, 2025)

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. - Renqi Jia; Xiaokun Zhang 001; Bowei He; Qiannan Zhu; Weitao Xu; Jiehao Chen; Chen Ma 001 (SDM, 2025)

Temporal knowledge graph link predictions with query-guided temporal representation learning. - Linhua Dong; Xiaofei Zhou; Bo Wang 049; Qiannan Zhu; Fan Meng (Inf. Sci., 2025)

A Unified Prompt-aware Framework for Personalized Search and Explanation Generation. - Haobo Zhang; Qiannan Zhu; Zhicheng Dou (ACM Trans. Inf. Syst., 2025)

Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs. - Ying Liu; Can Li; Ting Zhang; Mei Wang; Qiannan Zhu; Jian Li; Hua Huang (CoRR, 2025)

From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation. - Chengliang Zhou; Mei Wang; Ting Zhang; Qiannan Zhu; Jian Li; Hua Huang (CoRR, 2025)

Applications of Equilibrium Decision Theory in Low-Carbon Economic Operation of Wind-Solar-Hydrogen Integrated Energy System Considering Prediction Uncertainties. - Qiannan Zhu; Pengxia Chang; Shiqi Li; Yulong Xiao; Ting Wu; Lihao Li; Adnan Saeed; Chaoshun Li (IEEE Trans. Ind. Informatics, 2025)