Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations. - Qika Lin; Yaoqiang Niu; Yifan Zhu 001; Hao Lu 002; Keith Zvikomborero Mushonga; Zhendong Niu (IEEE Access, 2018)

Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model. - Hao Lu 002; Kaize Shi; Yifan Zhu 001; Yisheng Lv; Zhendong Niu (Sensors, 2018)

Chinese Lexical Based Sentiment Analysis Framework in Meteorology. - Yinan Li; Fuquan Zhang 001; Yifan Zhu 001; Sifan Zhang; Yu Mao; Zhendong Niu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Detecting Interest-Factor Influenced Abnormal Evaluation of Teaching via Multimodal Embedding and Priori Knowledge Based Neural Network. - Yu Mao; Yifan Zhu 001; Sifan Zhang; Dexiu Zhang; Fuquan Zhang 001; Xiaozhong Fan (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Lexical based automated teaching evaluation via students' short reviews. - Qika Lin; Yifan Zhu 001; Sifan Zhang; Pengfei Shi; Qing Guo; Zhendong Niu (Comput. Appl. Eng. Educ., 2019)

User preferences prediction approach based on embedded deep summaries. - James Chambua; Zhendong Niu; Yifan Zhu 001 (Expert Syst. Appl., 2019)

Academic rising star prediction via scholar's evaluation model and machine learning techniques. - Yubing Nie; Yifan Zhu 001; Qika Lin; Sifan Zhang; Pengfei Shi; Zhendong Niu (Scientometrics, 2019)

Wide-grained capsule network with sentence-level feature to detect meteorological event in social network. - Kaize Shi; Changjin Gong; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (Future Gener. Comput. Syst., 2020)

Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization. - Yifan Zhu 001; Hao Lu 002; Ping Qiu; Kaize Shi; James Chambua; Zhendong Niu (Neurocomputing, 2020)

Automatic generation of meteorological briefing by event knowledge guided summarization model. - Kaize Shi; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (Knowl. Based Syst., 2020)

A Heterogeneous Graph Based Framework for Multimodal Neuroimaging Fusion Learning. - Gen Shi; Yifan Zhu 001; Wenjin Liu; Xuesong Li 003 (CoRR, 2021)

Improving University Faculty Evaluations via multi-view Knowledge Graph. - Qika Lin; Yifan Zhu 001; Hao Lu 002; Kaize Shi; Zhendong Niu (Future Gener. Comput. Syst., 2021)

EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings. - Kaize Shi; Yusen Wang; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (Inf. Process. Manag., 2021)

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Ping Qiu; Zhendong Niu (Knowl. Based Syst., 2021)

Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity. - Yifan Zhu 001; Xuesong Li 003; Yufei Qiao; Ruihong Shang; Gen Shi; Yingying Shang; Hua Guo (Medical Image Anal., 2021)

The divided brain: Functional brain asymmetry underlying self-construal. - Gen Shi; Xuesong Li 003; Yifan Zhu 001; Ruihong Shang; Yang Sun; Hua Guo; Jie Sui (NeuroImage, 2021)

Social Signal-Driven Knowledge Automation: A Focus on Social Transportation. - Hao Lu 002; Yifan Zhu 001; Yong Yuan; Weichao Gong; Juanjuan Li; Kaize Shi; Yisheng Lv; Zhendong Niu; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder. - Gen Shi; Yifan Zhu 001; Fuquan Zhang 001; Wenjin Liu; Yuxiang Yao; Xuesong Li 003 (BIBM, 2022)

AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query. - Zepeng Huai; Zhe Wang; Yifan Zhu 001; Peng Zhang (CIKM, 2022)

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. - Qika Lin; Jun Liu 002; Fangzhi Xu; Yudai Pan; Yifan Zhu 001; Lingling Zhang 005; Tianzhe Zhao (SIGIR, 2022)

XDataExplorer: A Three-Stage Comprehensive Self-Tuning Tool for Big Data Platforms. - Qing Guo; Yingying Xie; Qiushi Li; Yifan Zhu 001 (Big Data Res., 2022)

Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media. - Yu Mao; Yifan Zhu 001; Yiping Liu; Qika Lin; Hao Lu 002; Fuquan Zhang 001 (Enterp. Inf. Syst., 2022)

Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-Based Dynamic Functional Connectivity: A Machine Learning Approach. - Yifan Zhu 001; Xuesong Li 003; Yang Sun; Haixu Wang; Hua Guo; Jie Sui (IEEE Trans. Cogn. Dev. Syst., 2022)

Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. - Hao Lu 002; Yifan Zhu 001; Qika Lin; Tan Wang; Zhendong Niu; Enrique Herrera-Viedma (IEEE Trans. Intell. Transp. Syst., 2022)

FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation. - Zongzhi Han; Zhonghong Ou; Yifan Zhu 001; Xiaodong Li; Meina Song (ICDM, 2023)

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. - Yifan Zhu 001; Fangpeng Cong; Dan Zhang; Wenwen Gong; Qika Lin; Wenzheng Feng; Yuxiao Dong; Jie Tang 001 (KDD, 2023)

Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. - Ming Zhou 004; Wenzheng Feng; Yifan Zhu 001; Dan Zhang; Yuxiao Dong; Jie Tang 001 (ECML/PKDD (6), 2023)

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. - Dan Zhang; Yifan Zhu 001; Yuxiao Dong; Yuandong Wang; Wenzheng Feng; Evgeny Kharlamov; Jie Tang 001 (WWW, 2023)

Are Nonimage Data Really Necessary for Disease Prediction With Graph Convolutional Networks? - Gen Shi; Yifan Zhu 001; Zhensen Chen; Jinyan Liu; Xuesong Li 003 (IEEE Trans. Cogn. Dev. Syst., 2023)

Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Donglei Liu; James Chambua; Shanshan Wan; Zhendong Niu (IEEE Trans. Knowl. Data Eng., 2023)

A Local Self-Attention Sentence Model for Answer Selection Task in CQA Systems. - Donglei Liu; Hao Lu 002; Yong Yuan; Rui Qin 002; Yifan Zhu 001; Chunxia Zhang 001; Zhendong Niu (IEEE Trans. Comput. Soc. Syst., 2023)

Application of Social Sensors in Natural Disasters Emergency Management: A Review. - Kaize Shi; Xueping Peng; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (IEEE Trans. Comput. Soc. Syst., 2023)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. - Haoran Luo 001; Haihong E; Zichen Tang; Shiyao Peng; Yikai Guo; Wentai Zhang 004; Chenghao Ma; Guanting Dong; Meina Song; Wei Lin; Yifan Zhu 001; Anh Tuan Luu (ACL (Findings), 2024)

Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Donglei Liu; James Chambua; Shanshan Wan; Zhendong Niu (ICDE, 2024)

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. - Fanjin Zhang; Shijie Shi; Yifan Zhu 001; Bo Chen 026; Yukuo Cen; Jifan Yu; Yelin Chen; Lulu Wang; Qingfei Zhao; Yuqing Cheng; Tianyi Han; Yuwei An; et al. (KDD, 2024)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning. - Yu Feng 015; Zhen Tian; Yifan Zhu 001; Zongfu Han; Haoran Luo 001; Guangwei Zhang; Meina Song (ACM Multimedia, 2024)

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction. - Haoran Luo 001; Haihong E; Yuhao Yang 006; Tianyu Yao; Yikai Guo; Zichen Tang; Wentai Zhang 004; Shiyao Peng; Kaiyang Wan; Meina Song; Wei Lin; Yifan Zhu 001; et al. (NeurIPS, 2024)

A New Perspective for Computational Social Systems: Fuzzy Modeling and Reasoning for Social Computing in CPSS. - Tan Wang; Yifan Zhu 001; Peijun Ye 001; Weichao Gong; Hao Lu 002; Hong Mo; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. - Kaize Shi; Xueping Peng; Hao Lu 002; Yifan Zhu 001; Zhendong Niu (IEEE Trans. Comput. Soc. Syst., 2024)

HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation. - Gen Shi; Yifan Zhu 001; Jian K. Liu; Xuesong Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. - Wenwen Gong; Yangliao Geng; Dan Zhang; Yifan Zhu 001; Xiaolong Xu 001; Haolong Xiang; Amin Beheshti; Xuyun Zhang; Lianyong Qi (AAAI, 2025)

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval. - Shuai Lyu; Zijing Tian; Zhonghong Ou; Yifan Zhu 001; Xiao Zhang; Qiankun Ha; Haoran Luo 001; Meina Song (AAAI, 2025)

INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph. - Ningyuan Li 002; Haihong E; Tianyu Yao; Tianyi Hu; Yuhan Li; Haoran Luo 001; Meina Song; Yifan Zhu 001 (ICLR, 2025)

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. - Yu Feng 015; Yangli-ao Geng; Yifan Zhu 001; Zongfu Han; Xie Yu; Kaiwen Xue; Haoran Luo 001; Mengyang Sun; Guangwei Zhang; Meina Song (WWW, 2025)

FedGPA: Federated Learning with Global Personalized Aggregation. - Zongfu Han; Yu Feng 015; Yifan Zhu 001; Zhen Tian; Fangyu Hao; Meina Song (AI Open, 2025)

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. - Qika Lin; Yifan Zhu 001; Xin Mei; Ling Huang 003; Jingying Ma; Kai He 001; Zhen Peng 005; Erik Cambria; Mengling Feng (Inf. Fusion, 2025)

Multi-SEA: Multi-stage Semantic Enhancement and Aggregation for image-text retrieval. - Zijing Tian; Zhonghong Ou; Yifan Zhu 001; Shuai Lyu; Hanyu Zhang; Jinghua Xiao; Meina Song (Inf. Process. Manag., 2025)

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. - Qika Lin; Kai He 001; Yifan Zhu 001; Fangzhi Xu; Erik Cambria; Mengling Feng (IEEE Trans. Image Process., 2025)

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval. - Shuai Lyu; Zijing Tian; Zhonghong Ou; Yifan Zhu 001; Xiao Zhang; Qiankun Ha; Haoran Luo 001; Meina Song (CoRR, 2025)

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. - Haoran Luo 001; Haihong E; Yikai Guo; Qika Lin; Xiaobao Wu; Xinyu Mu; Wenhao Liu; Meina Song; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. - Weibin Liao; Yifan Zhu 001; Yanyan Li; Qi Zhang 020; Zhonghong Ou; Xuesong Li 003 (ACM Trans. Inf. Syst., 2025)

SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL. - Shuai Lyu; Haoran Luo 001; Zhonghong Ou; Yifan Zhu 001; Xiaoran Shang; Yang Qin; Meina Song (CoRR, 2025)

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. - Mengyang Sun; Yihao Wang; Tao Feng 014; Dan Zhang; Yifan Zhu 001; Jie Tang 001 (CoRR, 2025)

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation. - Haoran Luo 001; Haihong E; Guanting Chen 004; Yandan Zheng; Xiaobao Wu; Yikai Guo; Qika Lin; Yu Feng 015; Ze-min Kuang; Meina Song; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. - Dan Zhang; Shaojie Zheng; Yifan Zhu 001; Huihui Yuan; Jibing Gong; Jie Tang 001 (ACM Trans. Inf. Syst., 2025)

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. - Haoran Luo 001; Haihong E; Guanting Chen 004; Qika Lin; Yikai Guo; Fangzhi Xu; Ze-min Kuang; Meina Song; Xiaobao Wu; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

Heterogeneous Graph-Based Multimodal Brain Network Learning. - Gen Shi; Yifan Zhu 001; Wenjin Liu; Quanming Yao; Xuesong Li 003 (IEEE Trans. Knowl. Data Eng., 2025)