| 2026 | AAAI | DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu |
| 2026 | ACL | Generating then Refining for Reliable Knowledge Base Question Answering. | Jianqi Gao, Hang Yu, Jian Cao, Ranran Bu, Jinghua Tang, Nengjun Zhu, Yonggang Zhang |
| 2026 | WWW | QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation. | Nengjun Zhu, Yixun Lu, Qi Zhang |
| 2025 | AAAI | Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. | Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu |
| 2025 | AAAI | ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model. | Yang Gu, Jian Cao, Hengyu You, Nengjun Zhu, Shiyou Qian |
| 2025 | ICDM | Trusted Collective Learning for Conflictive Multi-View Decision-Making. | Nengjun Zhu, Zhiyu Zhang, Chenmeijin Liang, Jian Cao, Siji Zhu, Xiao Wei |
| 2024 | ICDM | Early Fire Detection Based on Local Morphological Knowledge Matching. | Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng |
| 2024 | ICDM | Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu |
| 2024 | IJCAI | R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. | Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao |
| 2024 | ICWS | ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics. | Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, Wei Guan |
| 2023 | ADMA | SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy. | Xiao Wei, Xiaoxin Wang, Nengjun Zhu |
| 2023 | DSAA | Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. | Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li |
| 2023 | ICDM | MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. | Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong |
| 2022 | SIGIR | CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. | Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong |
| 2021 | CSCWD | A New $k$-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions. | Zhengfei Shen, Jian Cao, Nengjun Zhu, Xiaosong Chen |
| 2020 | ICWS | Enhancing Cross-domain Recommendation through Preference Structure Information Sharing. | Nengjun Zhu, Jian Cao |
| 2020 | SIGIR | Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. | Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong |
| 2020 | WSDM | Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. | Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong |
| 2019 | WISE | CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback. | Nengjun Zhu, Jian Cao |
| 2017 | ICWS | GTRM: A Top-N Recommendation Model for Smartphone Applications. | Nengjun Zhu, Jian Cao |
| 2016 | ICSOC | Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network. | Jian Cao, Yijing Lu, Nengjun Zhu |