Nengjun Zhu - RankMe

44 papers A* 12A 5B 2C 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation. AAAI Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu
2026	J	`jnl`	How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective. ACM Trans. Knowl. Discov. Data Haoran Xin, Xinjiang Lu, Ying Sun, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong
2026	A*	`conf`	QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation. WWW Nengjun Zhu, Yixun Lu, Qi Zhang
2025	A*	`conf`	ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model. AAAI Yang Gu, Jian Cao, Hengyu You, Nengjun Zhu, Shiyou Qian
2025	J	`jnl`	Distributed Recommendation Systems: Survey and Research Directions. ACM Trans. Inf. Syst. Qiqi Cai, Jian Cao, Guandong Xu, Nengjun Zhu
2025	J	`jnl`	MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection. Knowl. Based Syst. Nengjun Zhu, Yuqiang Ren, Yu Liu, Hang Yu, Xinzhi Wang, Xiangfeng Luo
2025	A*	`conf`	Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. AAAI Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu
2025	J	`jnl`	Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach. Complex Intell. Syst. Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Siji Zhu
2025	A*	`conf`	Trusted Collective Learning for Conflictive Multi-View Decision-Making. ICDM Nengjun Zhu, Zhiyu Zhang, Chenmeijin Liang, Jian Cao, Siji Zhu, Xiao Wei
2025	J	`jnl`	Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning. CoRR Hang Ni, Jindong Han, Nengjun Zhu, Hao Liu
2024	A*	`conf`	Early Fire Detection Based on Local Morphological Knowledge Matching. ICDM Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng
2024	J	`jnl`	Entity recognition based on heterogeneous graph reasoning of visual region and text candidate. Mach. Learn. Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li
2024	A*	`conf`	Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. ICDM Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu
2024	J	`jnl`	IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews. IEEE Trans. Artif. Intell. Hang Yu, Weixu Liu, Nengjun Zhu, Pengbo Li, Xiangfeng Luo
2024	J	`jnl`	LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. IEEE Trans. Knowl. Data Eng. Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
2024	J	`jnl`	MANSOR: A module alignment method based on neighbor information for scientific workflow. Concurr. Comput. Pract. Exp. Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, Wei Guan
2024	A	`conf`	ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics. ICWS Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, Wei Guan
2024	A*	`conf`	R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. IJCAI Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao
2024	J	`jnl`	Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents. CoRR Hao Wang, Tang Li, Chenhui Chu, Nengjun Zhu, Rui Wang, Pinpin Zhu
2024	A*	`conf`	VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. ACM Multimedia Shouyu Chen, Liang Hu, Tangwei Ye, Zhongyuan Lai, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu
2023	J	`jnl`	Enhancing Next-Item Recommendation Through Adaptive User Group Modeling. J. Soc. Comput. Nengjun Zhu, Lingdan Sun, Jian Cao, Xinjiang Lu, Runtong Li
2023	B	`conf`	Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. DSAA Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li
2023	—	`conf`	FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform. ChineseCSCW (1) Haiyan Zhao, Ping Zhou, Jian Cao, Nengjun Zhu
2023	A*	`conf`	MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. ICDM Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong
2023	J	`jnl`	SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. ACM Trans. Knowl. Discov. Data Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo
2023	—	`conf`	SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy. ADMA (2) Xiao Wei, Xiaoxin Wang, Nengjun Zhu
2022	A*	`conf`	CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. SIGIR Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong
2022	J	`jnl`	Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs. Knowl. Based Syst. Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu
2022	—	`conf`	Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation. ChineseCSCW (2) Nengjun Zhu, Jieyun Huang, Jian Cao, Shanshan Feng
2022	J	`jnl`	Learning a Hierarchical Intent Model for Next-Item Recommendation. ACM Trans. Inf. Syst. Nengjun Zhu, Jian Cao, Xinjiang Lu, Hui Xiong
2022	J	`jnl`	Multi-label disaster text classification via supervised contrastive learning for social media data. Comput. Electr. Eng. Shaorong Xie, Chunning Hou, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Nengjun Zhu
2022	J	`jnl`	Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. ACM Trans. Knowl. Discov. Data Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong
2022	J	`jnl`	RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation. Int. J. Comput. Intell. Syst. Haihua Shi, Jianjun Qian, Nengjun Zhu, Tong Zhang, Zhen Cui, Qianliang Wu, Shanshan Feng
2021	C	`conf`	A New $k$-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions. CSCWD Zhengfei Shen, Jian Cao, Nengjun Zhu, Xiaosong Chen
2021	J	`jnl`	Leveraging pointwise prediction with learning to rank for top-N recommendation. World Wide Web Nengjun Zhu, Jian Cao, Xinjiang Lu, Qi Gu
2020	J	`jnl`	A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment. ACM Trans. Multim. Comput. Commun. Appl. Nengjun Zhu, Jian Cao, Kunwei Shen, Xiaosong Chen, Siji Zhu
2020	J	`jnl`	A semi-supervised attention model for identifying authentic sneakers. Big Data Min. Anal. Yang Yang, Nengjun Zhu, Yi-Feng Wu, Jian Cao, De-Chuan Zhan, Hui Xiong
2020	A	`conf`	Enhancing Cross-domain Recommendation through Preference Structure Information Sharing. ICWS Nengjun Zhu, Jian Cao
2020	A	`conf`	Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. WSDM Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong
2020	A*	`conf`	Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
2019	B	`conf`	CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback. WISE Nengjun Zhu, Jian Cao
2018	—	`conf`	An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift. ChineseCSCW Nengjun Zhu, Jian Cao, Yan Zhang
2017	A	`conf`	GTRM: A Top-N Recommendation Model for Smartphone Applications. ICWS Nengjun Zhu, Jian Cao
2016	A	`conf`	Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network. ICSOC Jian Cao, Yijing Lu, Nengjun Zhu