Ning Yang

According to our database, Ning Yang authored at least 38 papers between 2009 and 2024.

Collaborative distances:

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

2024

Provable Unrestricted Adversarial Training Without Compromise With Generalizability.

Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment.

Xinyu Zhu, Lilin Zhang, Ning Yang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training.

Jingyu Chen, Lilin Zhang, Ning Yang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning.

Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu

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

Dual Adversarial Variational Embedding for Robust Recommendation.

Qiaomin Yi, Ning Yang, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2023

A Three-Step Calibration Method of Sensors' Pose for Magnetic Localization System.

Weijun Lin, Shijie Ding, Zheng Li, Ning Yang

IEEE Trans. Instrum. Meas., 2023

Contrastive Collaborative Filtering for Cold-Start Item Recommendation.

Zhihui Zhou, Lilin Zhang, Ning Yang

Proceedings of the ACM Web Conference 2023, 2023

2022

Learning aspect-level complementarity for intent-aware complementary recommendation.

Rui Wang, Ning Yang, Philip S. Yu

Knowl. Based Syst., 2022

Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning.

Xiaoyun Zhao, Ning Yang, Philip S. Yu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference.

Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun

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

Time Lag Aware Sequential Recommendation.

Lihua Chen, Ning Yang, Philip S. Yu

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

2020

A meta-feature based unified framework for both cold-start and warm-start explainable recommendations.

Ning Yang, Yuchi Ma, Li Chen, Philip S. Yu

World Wide Web, 2020

Deep Collaborative Embedding for information cascade prediction.

Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu

Knowl. Based Syst., 2020

MLANE: Meta-Learning Based Adaptive Network Embedding.

Chen Cui, Ning Yang, Philip S. Yu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Explainable recommendation with fusion of aspect information.

Yunfeng Hou, Ning Yang, Yi Wu, Philip S. Yu

World Wide Web, 2019

Identifying structural hole spanners to maximally block information propagation.

Wenzheng Xu, Tong Li, Weifa Liang, Jeffrey Xu Yu, Ning Yang, Shaobing Gao

Inf. Sci., 2019

Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations.

Huanrui Luo, Ning Yang, Philip S. Yu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

How to Reach: Discovering Multi-resolution Paths on Large Scale Networks.

Zhaokun Zhang, Ning Yang, Philip S. Yu

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Unified Group Recommendation Towards Multiple Criteria.

Yi Wu, Ning Yang, Huanrui Luo

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2017

Predicting neighbor label distributions in dynamic heterogeneous information networks.

Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu

World Wide Web, 2017

Spatial and semantical label inference for social media - A cross-network data fusion approach.

Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu

Knowl. Inf. Syst., 2017

Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach.

Ning Yang, Lifang He, Zheng Li, Philip S. Yu

Data Min. Knowl. Discov., 2017

Collaborative Inference of Coexisting Information Diffusions.

Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Explicable Location Prediction Based on Preference Tensor Model.

Duoduo Zhang, Ning Yang, Yuchi Ma

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Efficient Hidden Trajectory Reconstruction from Sparse Data.

Ning Yang, Philip S. Yu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Hierarchical Community Evolution Mining from Dynamic Networks.

Yonghui Zhang, Chuan Li, Yanmei Li, Changjie Tang, Ning Yang

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Predicting Neighbor Distribution in Heterogeneous Information Networks.

Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events.

Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences.

Ning Yang, Changjie Tang

Int. J. Comput. Intell. Syst., 2013

2011

Mining Multi-scale Intervention Rules from Time Series and Complex Network.

Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang

Int. J. Comput. Intell. Syst., 2011

Early Prediction of Temporal Sequences Based on Information Transfer.

Ning Yang, Jian Peng, Yu Chen, Changjie Tang

Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study.

Yuchi Ma, Chunyan Qu, Tingting Liu, Ning Yang, Changjie Tang

Proceedings of the Web-Age Information Management, 2011

2010

An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams.

Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun Li, Jun Zhu

Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Hotspot District Trajectory Prediction.

Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang, Ning Yang, Chuan Li

Proceedings of the Web-Age Information Management, 2010

MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System.

Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu

Proceedings of the Advances in Web Technologies and Applications, 2010

2009

Mining Interventions from Parallel Event Sequences.

Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, Jun Zhu

Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

Intervention Events Detection and Prediction in Data Streams.

Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang, Jun Zhu

Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection.

Jianping Xiang, Changjie Tang, Yu Chen, Lei Duan, Yue Wang, Ning Yang

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009