Yifan Zhu

According to our database, Yifan Zhu authored at least 83 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

ERGeoBench:A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models.

Kaiwen Xue, Tao Wei, Guoxin Zhang, Zhonghong Ou, Kaoyan Lu, Yu Feng, Yifan Zhu, Haoran Luo

CoRR, May, 2026

RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism.

Mengyang Sun, Maochuan Dou, Tao Feng, Dan Zhang, Yihao Wang, Junpeng Liu, Yifan Zhu, Jie Tang

CoRR, May, 2026

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning.

Yu Feng, Zhen Tian, Haoran Luo, Xie Yu, Diancheng Cheng, Haoyue Zheng, Shuai Lyu, Ping Zong, Lianyuan Li, Xin Ge, Yifan Zhu

CoRR, May, 2026

LungCURE: Benchmarking Multimodal Real-World Clinical Reasoning for Precision Lung Cancer Diagnosis and Treatment.

Fangyu Hao, Jiayu Yang, Yifan Zhu, Zijun Yu, Qicen Wu, Wang Yunlong, Jiawei Li, Yulin Liu, Xu Zeng, Guanting Chen, Shihao Li, Zhonghong Ou, Meina Song, Mengyang Sun, Haoran Luo, Yu Shi, Yingyi Wang

CoRR, April, 2026

HiFlow: Hierarchical Feedback-Driven Optimization for Constrained Long-Form Text Generation.

Yifan Zhu, Guanting Chen, Bing Wei, Haoran Luo

CoRR, March, 2026

OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question Answering.

Yifan Zhu, Xinyu Mu, Tao Feng, Zhonghong Ou, Yuning Gong, Haoran Luo

CoRR, February, 2026

Continual GUI Agents.

Ziwei Liu, Borui Kang, Hangjie Yuan, Zixiang Zhao, Wei Li, Yifan Zhu, Tao Feng

CoRR, January, 2026

Mitigating Hallucinations in Knowledge Graph Completion via Embedding-Guided Instruction Tuning.

Pengfei Zhang, Xing Xu, Junying Wu, Xin Lu, Jiahao Shi, Xiaodong Zhang, Dezhi Cui, Xiuxian Peng, Sihao He, Ping Zong, Guoxin Zhang, Zhonghong Ou, Meina Song, Yifan Zhu

Inf., 2026

A survey on long-term traffic prediction from the information fusion perspective: Requirements, methods, applications, and outlooks.

Feifei Kou, Ziyan Zhang, Yuhan Yao, Yuxian Zhu, Jiahao Wang, Ruiping Yuan, Yifan Zhu

Inf. Fusion, 2026

BIF-RCNN: Fusing Background Information for Rotated Object Detection.

Jianbin Zhao, Xing Xu, Shaoying Wang, Pengfei Zhang, Shengyi Shen, Hui Zeng, Xiangshuai Bu, Yiran Shen, Kaiwen Xue, Ping Zong, Guoxin Zhang, Zhonghong Ou, Meina Song, Yifan Zhu

Algorithms, 2026

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains.

Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu, Haihong E

Proceedings of the ACM Web Conference 2026, 2026

CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product.

Kaiwen Xue, Chenglong Li, Zhonghong Ou, Guoxin Zhang, Kaoyan Lu, Shuai Lyu, Yifan Zhu, Ping Zong, Junpeng Ding, Xinyu Liu, Qunlin Chen, Weiwei Qin, Yiran Shen, Jiayi Cen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models.

Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Yifan Zhu, Tao Feng, Jun Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Contrastive Hierarchical Augmentation Learning for Modeling Cognitive and Multimodal Brain Network.

Gen Shi, Yuxiang Yao, Yifan Zhu, Xinyue Lin, Lanxin Ji, Wenjin Liu, Xuesong Li

IEEE Trans. Comput. Soc. Syst., October, 2025

A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.

Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng

CoRR, September, 2025

Heterogeneous Graph-Based Multimodal Brain Network Learning.

Gen Shi, Yifan Zhu, Wenjin Liu, Quanming Yao, Xuesong Li

IEEE Trans. Knowl. Data Eng., August, 2025

Multi-KGS: Generating Social Network-Based Meteorological Decision Reports Fusing With Multiple Knowledge.

Kaize Shi, Xueping Peng, Yifan Zhu, Hui He, Kun Yi, Zhendong Niu

IEEE Trans. Consumer Electron., August, 2025

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning.

Wei Li, Hangjie Yuan, Zixiang Zhao, Yifan Zhu, Aojun Lu, Tao Feng, Yanan Sun

CoRR, August, 2025

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Zemin Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan

CoRR, July, 2025

MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations.

Dan Zhang, Shaojie Zheng, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang

ACM Trans. Inf. Syst., March, 2025

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation.

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, March, 2025

SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL.

Shuai Lyu, Haoran Luo, Zhonghong Ou, Yifan Zhu, Xiaoran Shang, Yang Qin, Meina Song

CoRR, February, 2025

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.

Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li

ACM Trans. Inf. Syst., January, 2025

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval.

Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song

CoRR, January, 2025

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA.

Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng

IEEE Trans. Image Process., 2025

A corporate credit evaluation method considering strong feature privacy with non-private label: A vertical heterogeneous feature fusion approach.

Xifeng Ning, Chao Yang, Hailu Sun, Xinyuan Song, Zifan Hu, Yu Feng, Jiawei Li, Yifan Zhu

Intell. Syst. Appl., 2025

Multi-SEA: Multi-stage Semantic Enhancement and Aggregation for image-text retrieval.

Zijing Tian, Zhonghong Ou, Yifan Zhu, Shuai Lyu, Hanyu Zhang, Jinghua Xiao, Meina Song

Inf. Process. Manag., 2025

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.

Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng

Inf. Fusion, 2025

Fine-Tuning Large Language Models With Behavioral Alignment for Depression Detection.

Xifeng Ning, Hailu Sun, Dejun Yu, Chao Yang, Ruonan Fang, Lin Fan, Qika Lin, Yifan Zhu

IEEE Intell. Syst., 2025

FedGPA: Federated Learning with Global Personalized Aggregation.

Zongfu Han, Yu Feng, Yifan Zhu, Zhen Tian, Fangyu Hao, Meina Song

AI Open, 2025

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning.

Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song

Proceedings of the ACM on Web Conference 2025, 2025

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation.

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Anh Tuan Luu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DGFSD: Bridging the Gap between Dense and Sparse for Fully Sparse 3D Object Detection.

Guoxin Zhang, Zhonghong Ou, Kaiwen Xue, Jiangfeng Sun, Yifan Zhu, Siyuan Yao, Yiran Shen, Meina Song

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding.

Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu, Zhonghong Ou, Meina Song

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models.

Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Anh Tuan Luu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph.

Ningyuan Li, Haihong E, Tianyu Yao, Tianyi Hu, Yuhan Li, Haoran Luo, Meina Song, Yifan Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Complex Numerical Reasoning with Numerical Semantic Pre-training Framework.

Jun Zhang, Haihong E, Tianyi Hu, Yifan Zhu, Meina Song, Haoran Luo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Direct Cardiovascular Disease Diagnosis From Multi-Modal Multi-View Ultrasound Via Unified Vision-Language Modeling.

Bin Pu, Jiewen Yang, Hangcheng Cao, Xingguo Lv, Lei Zhao, Qika Lin, Zhan Gao, Yifan Zhu, Haiyan Chen, Kenli Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Early Detection of Multimodal Hot-Topic Misinformation in User-Generated Content.

Zheng He, Jiawei Li, Zhonghong Ou, Meina Song, Qika Lin, Kaize Shi, Yifan Zhu

Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation.

Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval.

Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation.

Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation.

Gen Shi, Yifan Zhu, Jian K. Liu, Xuesong Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Multiple Knowledge-Enhanced Meteorological Social Briefing Generation.

Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu

IEEE Trans. Comput. Soc. Syst., April, 2024

A New Perspective for Computational Social Systems: Fuzzy Modeling and Reasoning for Social Computing in CPSS.

Tan Wang, Yifan Zhu, Peijun Ye, Weichao Gong, Hao Lu, Hong Mo, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., February, 2024

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction.

Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning.

Yu Feng, Zhen Tian, Yifan Zhu, Zongfu Han, Haoran Luo, Guangwei Zhang, Meina Song

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining.

Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract).

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Application of Social Sensors in Natural Disasters Emergency Management: A Review.

Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu

IEEE Trans. Comput. Soc. Syst., December, 2023

A Local Self-Attention Sentence Model for Answer Selection Task in CQA Systems.

Donglei Liu, Hao Lu, Yong Yuan, Rui Qin, Yifan Zhu, Chunxia Zhang, Zhendong Niu

IEEE Trans. Comput. Soc. Syst., December, 2023

Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network.

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu

IEEE Trans. Knowl. Data Eng., April, 2023

Are Nonimage Data Really Necessary for Disease Prediction With Graph Convolutional Networks?

Gen Shi, Yifan Zhu, Zhensen Chen, Jinyan Liu, Xuesong Li

IEEE Trans. Cogn. Dev. Syst., March, 2023

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation.

Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks.

Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window.

Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation.

Zongzhi Han, Zhonghong Ou, Yifan Zhu, Xiaodong Li, Meina Song

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation.

Hao Lu, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique Herrera-Viedma

IEEE Trans. Intell. Transp. Syst., 2022

Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-Based Dynamic Functional Connectivity: A Machine Learning Approach.

Yifan Zhu, Xuesong Li, Yang Sun, Haixu Wang, Hua Guo, Jie Sui

IEEE Trans. Cogn. Dev. Syst., 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, Yiping Liu, Qika Lin, Hao Lu, Fuquan Zhang

Enterp. Inf. Syst., 2022

XDataExplorer: A Three-Stage Comprehensive Self-Tuning Tool for Big Data Platforms.

Qing Guo, Yingying Xie, Qiushi Li, Yifan Zhu

Big Data Res., 2022

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction.

Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query.

Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder.

Gen Shi, Yifan Zhu, Fuquan Zhang, Wenjin Liu, Yuxiang Yao, Xuesong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Social Signal-Driven Knowledge Automation: A Focus on Social Transportation.

Hao Lu, Yifan Zhu, Yong Yuan, Weichao Gong, Juanjuan Li, Kaize Shi, Yisheng Lv, Zhendong Niu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., 2021

The divided brain: Functional brain asymmetry underlying self-construal.

Gen Shi, Xuesong Li, Yifan Zhu, Ruihong Shang, Yang Sun, Hua Guo, Jie Sui

NeuroImage, 2021

Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity.

Yifan Zhu, Xuesong Li, Yufei Qiao, Ruihong Shang, Gen Shi, Yingying Shang, Hua Guo

Medical Image Anal., 2021

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks.

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu

Knowl. Based Syst., 2021

EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings.

Kaize Shi, Yusen Wang, Hao Lu, Yifan Zhu, Zhendong Niu

Inf. Process. Manag., 2021

Improving University Faculty Evaluations via multi-view Knowledge Graph.

Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu

Future Gener. Comput. Syst., 2021

A Heterogeneous Graph Based Framework for Multimodal Neuroimaging Fusion Learning.

Gen Shi, Yifan Zhu, Wenjin Liu, Xuesong Li

CoRR, 2021

2020

Automatic generation of meteorological briefing by event knowledge guided summarization model.

Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu

Knowl. Based Syst., 2020

Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization.

Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu

Neurocomputing, 2020

Wide-grained capsule network with sentence-level feature to detect meteorological event in social network.

Kaize Shi, Changjin Gong, Hao Lu, Yifan Zhu, Zhendong Niu

Future Gener. Comput. Syst., 2020

2019

Academic rising star prediction via scholar's evaluation model and machine learning techniques.

Yubing Nie, Yifan Zhu, Qika Lin, Sifan Zhang, Pengfei Shi, Zhendong Niu

Scientometrics, 2019

User preferences prediction approach based on embedded deep summaries.

James Chambua, Zhendong Niu, Yifan Zhu

Expert Syst. Appl., 2019

Lexical based automated teaching evaluation via students' short reviews.

Qika Lin, Yifan Zhu, Sifan Zhang, Pengfei Shi, Qing Guo, Zhendong Niu

Comput. Appl. Eng. Educ., 2019

Detecting Interest-Factor Influenced Abnormal Evaluation of Teaching via Multimodal Embedding and Priori Knowledge Based Neural Network.

Yu Mao, Yifan Zhu, Sifan Zhang, Dexiu Zhang, Fuquan Zhang, Xiaozhong Fan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Chinese Lexical Based Sentiment Analysis Framework in Meteorology.

Yinan Li, Fuquan Zhang, Yifan Zhu, Sifan Zhang, Yu Mao, Zhendong Niu

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018

Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model.

Hao Lu, Kaize Shi, Yifan Zhu, Yisheng Lv, Zhendong Niu

Sensors, 2018

Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations.

Qika Lin, Yaoqiang Niu, Yifan Zhu, Hao Lu, Keith Zvikomborero Mushonga, Zhendong Niu

IEEE Access, 2018