Ning Yang

53 papers A* 3A 7C 1Journal 29Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
CorrMorph: Unsupervised Deformable Brain MRI Registration Based on Correlation Mining.
IEEE J. Biomed. Health Informatics
Yuan Chang, Zheng Li, Ning Yang
2025 J jnl
Multi-scale gated network for efficient image super-resolution.
Vis. Comput.
Xuan Miao, Shijie Li, Zheng Li, Wenzheng Xu, Ning Yang
2024 A* conf
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment.
SIGIR
Xinyu Zhu, Lilin Zhang, Ning Yang
2024 J jnl
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment.
CoRR
Xinyu Zhu, Lilin Zhang, Ning Yang
2024 A conf
Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training.
RecSys
Jingyu Chen, Lilin Zhang, Ning Yang
2024 J jnl
Provable Unrestricted Adversarial Training Without Compromise With Generalizability.
IEEE Trans. Pattern Anal. Mach. Intell.
Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu
2023 J jnl
A Three-Step Calibration Method of Sensors' Pose for Magnetic Localization System.
IEEE Trans. Instrum. Meas.
Weijun Lin, Shijie Ding, Zheng Li, Ning Yang
2023 A* conf
Contrastive Collaborative Filtering for Cold-Start Item Recommendation.
WWW
Zhihui Zhou, Lilin Zhang, Ning Yang
2023 J jnl
Contrastive Collaborative Filtering for Cold-Start Item Recommendation.
CoRR
Zhihui Zhou, Lilin Zhang, Ning Yang
2023 J jnl
Dual Adversarial Variational Embedding for Robust Recommendation.
IEEE Trans. Knowl. Data Eng.
Qiaomin Yi, Ning Yang, Philip S. Yu
2023 J jnl
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu
2023 J jnl
Provable Unrestricted Adversarial Training without Compromise with Generalizability.
CoRR
Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu
2022 J jnl
Learning aspect-level complementarity for intent-aware complementary recommendation.
Knowl. Based Syst.
Rui Wang, Ning Yang, Philip S. Yu
2022 J jnl
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning.
CoRR
Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu
2022 A conf
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning.
WSDM
Xiaoyun Zhao, Ning Yang, Philip S. Yu
2022 J jnl
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning.
CoRR
Xiaoyun Zhao, Ning Yang, Philip S. Yu
2022 A conf
Time Lag Aware Sequential Recommendation.
CIKM
Lihua Chen, Ning Yang, Philip S. Yu
2022 J jnl
Time Lag Aware Sequential Recommendation.
CoRR
Lihua Chen, Ning Yang, Philip S. Yu
2022 A conf
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference.
CIKM
Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun
2021 J jnl
Dual Adversarial Variational Embedding for Robust Recommendation.
CoRR
Qiaomin Yi, Ning Yang, Philip S. Yu
2020 J jnl
A meta-feature based unified framework for both cold-start and warm-start explainable recommendations.
World Wide Web
Ning Yang, Yuchi Ma, Li Chen, Philip S. Yu
2020 J jnl
Deep Collaborative Embedding for information cascade prediction.
CoRR
Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
2020 J jnl
Deep Collaborative Embedding for information cascade prediction.
Knowl. Based Syst.
Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
2020 J jnl
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations.
CoRR
Huanrui Luo, Ning Yang, Philip S. Yu
2020 — conf
MLANE: Meta-Learning Based Adaptive Network Embedding.
IEEE BigData
Chen Cui, Ning Yang, Philip S. Yu
2020 J jnl
MLANE: Meta-Learning Based Adaptive Network Embedding.
CoRR
Chen Cui, Ning Yang, Philip S. Yu
2019 J jnl
Explainable recommendation with fusion of aspect information.
World Wide Web
Yunfeng Hou, Ning Yang, Yi Wu, Philip S. Yu
2019 — conf
How to Reach: Discovering Multi-resolution Paths on Large Scale Networks.
APWeb/WAIM (1)
Zhaokun Zhang, Ning Yang, Philip S. Yu
2019 — conf
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations.
IEEE BigData
Huanrui Luo, Ning Yang, Philip S. Yu
2019 J jnl
Identifying structural hole spanners to maximally block information propagation.
Inf. Sci.
Wenzheng Xu, Tong Li, Weifa Liang, Jeffrey Xu Yu, Ning Yang, Shaobing Gao
2019 — conf
Unified Group Recommendation Towards Multiple Criteria.
APWeb/WAIM (2)
Yi Wu, Ning Yang, Huanrui Luo
2017 A* conf
Collaborative Inference of Coexisting Information Diffusions.
ICDM
Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu
2017 J jnl
Collaborative Inference of Coexisting Information Diffusions.
CoRR
Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu
2017 J jnl
Predicting neighbor label distributions in dynamic heterogeneous information networks.
World Wide Web
Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu
2017 J jnl
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach.
Data Min. Knowl. Discov.
Ning Yang, Lifang He, Zheng Li, Philip S. Yu
2017 J jnl
Spatial and semantical label inference for social media - A cross-network data fusion approach.
Knowl. Inf. Syst.
Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu
2016 A conf
Efficient Hidden Trajectory Reconstruction from Sparse Data.
CIKM
Ning Yang, Philip S. Yu
2016 — conf
Explicable Location Prediction Based on Preference Tensor Model.
WAIM (1)
Duoduo Zhang, Ning Yang, Yuchi Ma
2015 — conf
Hierarchical Community Evolution Mining from Dynamic Networks.
WAIM
Yonghui Zhang, Chuan Li, Yanmei Li, Changjie Tang, Ning Yang
2015 A conf
Predicting Neighbor Distribution in Heterogeneous Information Networks.
SDM
Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu
2015 J jnl
Predicting Neighbor Distribution in Heterogeneous Information Networks.
CoRR
Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu
2014 A conf
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events.
SDM
Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
2014 J jnl
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events.
CoRR
Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu
2013 J jnl
Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences.
Int. J. Comput. Intell. Syst.
Ning Yang, Changjie Tang
2011 — conf
Early Prediction of Temporal Sequences Based on Information Transfer.
WAIM
Ning Yang, Jian Peng, Yu Chen, Changjie Tang
2011 J jnl
Mining Multi-scale Intervention Rules from Time Series and Complex Network.
Int. J. Comput. Intell. Syst.
Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang
2011 — conf
Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study.
WAIM Workshops
Yuchi Ma, Chunyan Qu, Tingting Liu, Ning Yang, Changjie Tang
2010 — conf
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams.
WAIM
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun Li, Jun Zhu
2010 — conf
Hotspot District Trajectory Prediction.
WAIM Workshops
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang, Ning Yang, Chuan Li
2010 C conf
MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System.
APWeb
Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu
2009 — conf
CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection.
FSKD (1)
Jianping Xiang, Changjie Tang, Yu Chen, Lei Duan, Yue Wang, Ning Yang
2009 — conf
Intervention Events Detection and Prediction in Data Streams.
APWeb/WAIM
Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang, Jun Zhu
2009 — conf
Mining Interventions from Parallel Event Sequences.
APWeb/WAIM
Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, Jun Zhu