Ning Yang

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

Collaborative Filtering

Unified Framework

Temporal Sequences

Heterogeneous Information Networks

Top Venues

Knowl. Based Syst.

Publications

Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Weijun Lin, Shijie Ding, Zheng Li, Ning Yang
A Three-Step Calibration Method of Sensors' Pose for Magnetic Localization System. IEEE Trans. Instrum. Meas. 72 (2023)
Zhihui Zhou, Lilin Zhang, Ning Yang
Contrastive Collaborative Filtering for Cold-Start Item Recommendation. CoRR (2023)
Qiaomin Yi, Ning Yang, Philip S. Yu
Dual Adversarial Variational Embedding for Robust Recommendation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu
Provable Unrestricted Adversarial Training without Compromise with Generalizability. CoRR (2023)
Zhihui Zhou, Lilin Zhang, Ning Yang
Contrastive Collaborative Filtering for Cold-Start Item Recommendation. WWW (2023)
Rui Wang, Ning Yang, Philip S. Yu
Learning aspect-level complementarity for intent-aware complementary recommendation. Knowl. Based Syst. 258 (2022)
Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. CoRR (2022)
Lihua Chen, Ning Yang, Philip S. Yu
Time Lag Aware Sequential Recommendation. CIKM (2022)
Qiaomin Yi, Ning Yang, Philip S. Yu
Dual Adversarial Variational Embedding for Robust Recommendation. CoRR (2021)
Chen Cui, Ning Yang, Philip S. Yu
MLANE: Meta-Learning Based Adaptive Network Embedding. IEEE BigData (2020)
Huanrui Luo, Ning Yang, Philip S. Yu
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. CoRR (2020)
Ning Yang, Yuchi Ma, Li Chen, Philip S. Yu
A meta-feature based unified framework for both cold-start and warm-start explainable recommendations. World Wide Web 23 (1) (2020)
Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
Deep Collaborative Embedding for information cascade prediction. CoRR (2020)
Chen Cui, Ning Yang, Philip S. Yu
MLANE: Meta-Learning Based Adaptive Network Embedding. CoRR (2020)
Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
Deep Collaborative Embedding for information cascade prediction. Knowl. Based Syst. 193 (2020)
Yi Wu, Ning Yang, Huanrui Luo
Unified Group Recommendation Towards Multiple Criteria. APWeb/WAIM (2) (2019)
Zhaokun Zhang, Ning Yang, Philip S. Yu
How to Reach: Discovering Multi-resolution Paths on Large Scale Networks. APWeb/WAIM (1) (2019)
Huanrui Luo, Ning Yang, Philip S. Yu
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. IEEE BigData (2019)
Yunfeng Hou, Ning Yang, Yi Wu, Philip S. Yu
Explainable recommendation with fusion of aspect information. World Wide Web 22 (1) (2019)
Ning Yang, Lifang He, Zheng Li, Philip S. Yu
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach. Data Min. Knowl. Discov. 31 (3) (2017)
Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu
Collaborative Inference of Coexisting Information Diffusions. CoRR (2017)
Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu
Collaborative Inference of Coexisting Information Diffusions. ICDM (2017)
Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu
Predicting neighbor label distributions in dynamic heterogeneous information networks. World Wide Web 20 (6) (2017)
Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu
Spatial and semantical label inference for social media - A cross-network data fusion approach. Knowl. Inf. Syst. 53 (1) (2017)
Duoduo Zhang, Ning Yang, Yuchi Ma
Explicable Location Prediction Based on Preference Tensor Model. WAIM (1) (2016)
Ning Yang, Philip S. Yu
Efficient Hidden Trajectory Reconstruction from Sparse Data. CIKM (2016)
Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu
Predicting Neighbor Distribution in Heterogeneous Information Networks. SDM (2015)
Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu
Predicting Neighbor Distribution in Heterogeneous Information Networks. CoRR (2015)
Yonghui Zhang, Chuan Li, Yanmei Li, Changjie Tang, Ning Yang
Hierarchical Community Evolution Mining from Dynamic Networks. WAIM (2015)
Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. CoRR (2014)
Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. SDM (2014)
Ning Yang, Changjie Tang
Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences. Int. J. Comput. Intell. Syst. 6 (3) (2013)
Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang
Mining Multi-scale Intervention Rules from Time Series and Complex Network. Int. J. Comput. Intell. Syst. 4 (4) (2011)
Ning Yang, Jian Peng, Yu Chen, Changjie Tang
Early Prediction of Temporal Sequences Based on Information Transfer. WAIM (2011)
Yuchi Ma, Chunyan Qu, Tingting Liu, Ning Yang, Changjie Tang
Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study. WAIM Workshops (2011)
Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu
MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. APWeb (2010)
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang, Ning Yang, Chuan Li
Hotspot District Trajectory Prediction. WAIM Workshops (2010)
Jianping Xiang, Changjie Tang, Yu Chen, Lei Duan, Yue Wang, Ning Yang
CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection. FSKD (1) (2009)
Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang, Jun Zhu
Intervention Events Detection and Prediction in Data Streams. APWeb/WAIM (2009)
Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, Jun Zhu
Mining Interventions from Parallel Event Sequences. APWeb/WAIM (2009)