CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection. - Jianping Xiang; Changjie Tang; Yu Chen; Lei Duan; Yue Wang 014; Ning Yang 001 (FSKD (1), 2009)

Intervention Events Detection and Prediction in Data Streams. - Yue Wang 014; Changjie Tang; Chuan Li 002; Yu Chen; Ning Yang 001; Rong Tang 006; Jun Zhu (APWeb/WAIM, 2009)

Mining Interventions from Parallel Event Sequences. - Ning Yang 001; Changjie Tang; Yue Wang 014; Rong Tang 006; Chuan Li 002; Jiaoling Zheng; Jun Zhu (APWeb/WAIM, 2009)

MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. - Jiaoling Zheng; Changjie Tang; Shaojie Qiao; Ning Yang 001; Yue Wang 014; Yu Chen; Jun Zhu (APWeb, 2010)

Hotspot District Trajectory Prediction. - Hongjun Li; Changjie Tang; Shaojie Qiao; Yue Wang 014; Ning Yang 001; Chuan Li 002 (WAIM Workshops, 2010)

An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams. - Yue Wang 014; Jie Zuo; Ning Yang 001; Lei Duan; Hong-Jun Li; Jun Zhu (WAIM, 2010)

Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study. - Yuchi Ma; Chunyan Qu; Tingting Liu; Ning Yang 001; Changjie Tang (WAIM Workshops, 2011)

Early Prediction of Temporal Sequences Based on Information Transfer. - Ning Yang 001; Jian Peng 002; Yu Chen; Changjie Tang (WAIM, 2011)

Mining Multi-scale Intervention Rules from Time Series and Complex Network. - Jiaoling Zheng; Changjie Tang; Shaojie Qiao; Ning Yang 001; Yue Wang 014 (Int. J. Comput. Intell. Syst., 2011)

Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences. - Ning Yang 001; Changjie Tang (Int. J. Comput. Intell. Syst., 2013)

When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. - Ning Yang 001; Xiangnan Kong; Fengjiao Wang; Philip S. Yu (SDM, 2014)

Predicting Neighbor Distribution in Heterogeneous Information Networks. - Yuchi Ma; Ning Yang 001; Chuan Li 002; Lei Zhang 005; Philip S. Yu (SDM, 2015)

Hierarchical Community Evolution Mining from Dynamic Networks. - Yonghui Zhang; Chuan Li 002; Yanmei Li; Changjie Tang; Ning Yang 001 (WAIM, 2015)

Efficient Hidden Trajectory Reconstruction from Sparse Data. - Ning Yang 001; Philip S. Yu (CIKM, 2016)

Explicable Location Prediction Based on Preference Tensor Model. - Duoduo Zhang; Ning Yang 001; Yuchi Ma (WAIM (1), 2016)

Collaborative Inference of Coexisting Information Diffusions. - Yanchao Sun; Cong Qian; Ning Yang 001; Philip S. Yu (ICDM, 2017)

Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach. - Ning Yang 001; Lifang He 001; Zheng Li; Philip S. Yu (Data Min. Knowl. Discov., 2017)

Spatial and semantical label inference for social media - A cross-network data fusion approach. - Yuchi Ma; Ning Yang 001; Lei Zhang 005; Philip S. Yu (Knowl. Inf. Syst., 2017)

Predicting neighbor label distributions in dynamic heterogeneous information networks. - Yuchi Ma; Ning Yang 001; Lei Zhang 005; Philip S. Yu (World Wide Web, 2017)

Unified Group Recommendation Towards Multiple Criteria. - Yi Wu; Ning Yang 001; Huanrui Luo (APWeb/WAIM (2), 2019)

How to Reach: Discovering Multi-resolution Paths on Large Scale Networks. - Zhaokun Zhang; Ning Yang 001; Philip S. Yu (APWeb/WAIM (1), 2019)

Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. - Huanrui Luo; Ning Yang 001; Philip S. Yu (IEEE BigData, 2019)

Identifying structural hole spanners to maximally block information propagation. - Wenzheng Xu; Tong Li; Weifa Liang; Jeffrey Xu Yu; Ning Yang 001; Shaobing Gao (Inf. Sci., 2019)

Explainable recommendation with fusion of aspect information. - Yunfeng Hou; Ning Yang 001; Yi Wu; Philip S. Yu (World Wide Web, 2019)

MLANE: Meta-Learning Based Adaptive Network Embedding. - Chen Cui; Ning Yang 001; Philip S. Yu (IEEE BigData, 2020)

Deep Collaborative Embedding for information cascade prediction. - Yuhui Zhao; Ning Yang 001; Tao Lin; Philip S. Yu (Knowl. Based Syst., 2020)

A meta-feature based unified framework for both cold-start and warm-start explainable recommendations. - Ning Yang 001; Yuchi Ma; Li Chen; Philip S. Yu (World Wide Web, 2020)

Time Lag Aware Sequential Recommendation. - Lihua Chen; Ning Yang 001; Philip S. Yu (CIKM, 2022)

Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. - Rongmei Zhao; Shenggen Ju; Jian Peng 002; Ning Yang 001; Fanli Yan; Siyu Sun (CIKM, 2022)

Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. - Xiaoyun Zhao; Ning Yang 001; Philip S. Yu (WSDM, 2022)

Learning aspect-level complementarity for intent-aware complementary recommendation. - Rui Wang; Ning Yang 001; Philip S. Yu (Knowl. Based Syst., 2022)

Contrastive Collaborative Filtering for Cold-Start Item Recommendation. - Zhihui Zhou; Lilin Zhang; Ning Yang 001 (WWW, 2023)

A Three-Step Calibration Method of Sensors' Pose for Magnetic Localization System. - Weijun Lin; Shijie Ding; Zheng Li; Ning Yang 001 (IEEE Trans. Instrum. Meas., 2023)

Dual Adversarial Variational Embedding for Robust Recommendation. - Qiaomin Yi; Ning Yang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. - Ziwen Du; Ning Yang 001; Zhonghua Yu; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training. - Jingyu Chen; Lilin Zhang; Ning Yang 001 (RecSys, 2024)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment. - Xinyu Zhu; Lilin Zhang; Ning Yang 001 (SIGIR, 2024)

Provable Unrestricted Adversarial Training Without Compromise With Generalizability. - Lilin Zhang; Ning Yang 001; Yanchao Sun; Philip S. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-scale gated network for efficient image super-resolution. - Xuan Miao; Shijie Li; Zheng Li; Wenzheng Xu; Ning Yang 001 (Vis. Comput., 2025)

CorrMorph: Unsupervised Deformable Brain MRI Registration Based on Correlation Mining. - Yuan Chang; Zheng Li; Ning Yang 001 (IEEE J. Biomed. Health Informatics, 2025)