| 2026 | ACL | Planning-Guided Tutoring with Assessment-Driven Memory for Pedagogical LLM Tutors. | Zechen Li, Qiannan Zhu, Mei Wang, Jia Li, Hua Huang |
| 2026 | DASFAA | NCPT: Feature-Aligned New Classifier Initialization for Incremental Named Entity Recognition. | Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen |
| 2025 | AAAI | Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition. | Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen |
| 2025 | COLING | Federated Incremental Named Entity Recognition. | Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen |
| 2025 | COLING | Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval. | Haobo Zhang, Qiannan Zhu, Zhicheng Dou |
| 2025 | ICASSP | Efficient Non-Sequential Relational Modeling for Temporal Knowledge Graph Link Predictions. | Linhua Dong, Xiaofei Zhou, Qiannan Zhu, Xu Bai, Gang Xiong |
| 2025 | ICASSP | Improving Embeddings by Refining Meanings for Temporal Knowledge Graph Link Predictions. | Linhua Dong, Xiaofei Zhou, Qiannan Zhu, Xu Bai, Gang Xiong |
| 2025 | SDM | Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. | Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma |
| 2024 | COLING | Few-Shot Learning for Cold-Start Recommendation. | Mingming Li, Songlin Hu, Fuqing Zhu, Qiannan Zhu |
| 2024 | IJCAI | 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 |
| 2024 | WWW | Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. | Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou |
| 2023 | WSDM | Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. | Qingyu Bing, Qiannan Zhu, Zhicheng Dou |
| 2022 | AAAI | 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 |
| 2022 | WWW | A Category-aware Multi-interest Model for Personalized Product Search. | Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen |
| 2022 | WWW | Learning Explicit User Interest Boundary for Recommendation. | Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao |
| 2022 | WWW | A Gain-Tuning Dynamic Negative Sampler for Recommendation. | Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou |
| 2022 | WSDM | A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. | Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han |
| 2020 | AAAI | A Knowledge-Aware Attentional Reasoning Network for Recommendation. | Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo |
| 2020 | IJCAI | A Relation-Specific Attention Network for Joint Entity and Relation Extraction. | Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo |
| 2019 | AAAI | DAN: Deep Attention Neural Network for News Recommendation. | Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo |
| 2019 | IJCAI | Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. | Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo |
| 2018 | ICCS | Learning Knowledge Graph Embeddings via Generalized Hyperplanes. | Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo |
| 2017 | CIKM | Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. | Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo |