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Ning Yang 0001
Person information
- affiliation: Sichuan University, School of Computer Science, Chengdu, China
Other persons with the same name
- Ning Yang — disambiguation page
- Ning Yang 0002
— Guilin University of Electronic Technology, Faculty of Mechanical and Electrical Engineering, China
- Ning Yang 0003
- Ning Yang 0004
- Ning Yang 0005 — Institute of Automation, Chinese Academy of Sciences (CASIA), China (and 1 more)
- Ning Yang 0006
- Ning Yang 0007
- Ning Yang 0008 — Beijing Jiaotong University, Beijing, China
- Ning Yang 0009
- Ning Yang 0010
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2020 – today
- 2024
- [c24]Jingyu Chen
Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training. RecSys 2024: 278-286 - [c23]Xinyu Zhu
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment. SIGIR 2024: 427-436 - 2023
- [j13]Weijun Lin
A Three-Step Calibration Method of Sensors' Pose for Magnetic Localization System. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j12]Qiaomin Yi, Ning Yang
Dual Adversarial Variational Embedding for Robust Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1421-1433 (2023) - [j11]Ziwen Du, Ning Yang
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(10): 9824-9835 (2023) - [c22]Zhihui Zhou
Contrastive Collaborative Filtering for Cold-Start Item Recommendation. WWW 2023: 928-937 - [i12]Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu:
Provable Unrestricted Adversarial Training without Compromise with Generalizability. CoRR abs/2301.09069 (2023) - [i11]Zhihui Zhou, Lilin Zhang, Ning Yang:
Contrastive Collaborative Filtering for Cold-Start Item Recommendation. CoRR abs/2302.02151 (2023) - 2022
- [j10]Rui Wang, Ning Yang
Learning aspect-level complementarity for intent-aware complementary recommendation. Knowl. Based Syst. 258: 109936 (2022) - [c21]Lihua Chen, Ning Yang, Philip S. Yu:
Time Lag Aware Sequential Recommendation. CIKM 2022: 212-221 - [c20]Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun:
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. CIKM 2022: 2701-2710 - [c19]Xiaoyun Zhao, Ning Yang, Philip S. Yu:
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. WSDM 2022: 1452-1460 - [i10]Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu:
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. CoRR abs/2201.05970 (2022) - [i9]Xiaoyun Zhao, Ning Yang, Philip S. Yu:
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. CoRR abs/2201.05973 (2022) - [i8]Lihua Chen, Ning Yang, Philip S. Yu:
Time Lag Aware Sequential Recommendation. CoRR abs/2208.04760 (2022) - 2021
- [i7]Qiaomin Yi, Ning Yang, Philip S. Yu:
Dual Adversarial Variational Embedding for Robust Recommendation. CoRR abs/2106.15779 (2021) - 2020
- [j9]Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu:
Deep Collaborative Embedding for information cascade prediction. Knowl. Based Syst. 193: 105502 (2020) - [j8]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): 241-265 (2020) - [c18]Chen Cui, Ning Yang, Philip S. Yu:
MLANE: Meta-Learning Based Adaptive Network Embedding. IEEE BigData 2020: 904-909 - [i6]Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu:
Deep Collaborative Embedding for information cascade prediction. CoRR abs/2001.06665 (2020) - [i5]Huanrui Luo, Ning Yang, Philip S. Yu:
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. CoRR abs/2001.10341 (2020) - [i4]Chen Cui, Ning Yang, Philip S. Yu:
MLANE: Meta-Learning Based Adaptive Network Embedding. CoRR abs/2010.13023 (2020)
2010 – 2019
- 2019
- [j7]Wenzheng Xu
Identifying structural hole spanners to maximally block information propagation. Inf. Sci. 505: 100-126 (2019) - [j6]Yunfeng Hou, Ning Yang
Explainable recommendation with fusion of aspect information. World Wide Web 22(1): 221-240 (2019) - [c17]Yi Wu, Ning Yang, Huanrui Luo:
Unified Group Recommendation Towards Multiple Criteria. APWeb/WAIM (2) 2019: 137-151 - [c16]Zhaokun Zhang, Ning Yang, Philip S. Yu:
How to Reach: Discovering Multi-resolution Paths on Large Scale Networks. APWeb/WAIM (1) 2019: 281-288 - [c15]Huanrui Luo, Ning Yang, Philip S. Yu:
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. IEEE BigData 2019: 870-879 - 2017
- [j5]Ning Yang
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach. Data Min. Knowl. Discov. 31(3): 879-906 (2017) - [j4]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): 153-177 (2017) - [j3]Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu:
Predicting neighbor label distributions in dynamic heterogeneous information networks. World Wide Web 20(6): 1269-1291 (2017) - [c14]Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu:
Collaborative Inference of Coexisting Information Diffusions. ICDM 2017: 1093-1098 - [i3]Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu:
Collaborative Inference of Coexisting Information Diffusions. CoRR abs/1708.06890 (2017) - 2016
- [c13]Ning Yang, Philip S. Yu:
Efficient Hidden Trajectory Reconstruction from Sparse Data. CIKM 2016: 821-830 - [c12]Duoduo Zhang, Ning Yang, Yuchi Ma:
Explicable Location Prediction Based on Preference Tensor Model. WAIM (1) 2016: 205-216 - 2015
- [c11]Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu:
Predicting Neighbor Distribution in Heterogeneous Information Networks. SDM 2015: 784-791 - [c10]Yonghui Zhang, Chuan Li, Yanmei Li, Changjie Tang, Ning Yang:
Hierarchical Community Evolution Mining from Dynamic Networks. WAIM 2015: 502-505 - [i2]Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu:
Predicting Neighbor Distribution in Heterogeneous Information Networks. CoRR abs/1506.01760 (2015) - 2014
- [c9]Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu:
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. SDM 2014: 515-523 - [i1]Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu:
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. CoRR abs/1407.1450 (2014) - 2013
- [j2]Ning Yang, Changjie Tang:
Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences. Int. J. Comput. Intell. Syst. 6(3): 473-486 (2013) - 2011
- [j1]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): 728-738 (2011) - [c8]Yuchi Ma, Chunyan Qu, Tingting Liu
Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study. WAIM Workshops 2011: 90-102 - [c7]Ning Yang, Jian Peng, Yu Chen, Changjie Tang:
Early Prediction of Temporal Sequences Based on Information Transfer. WAIM 2011: 542-553 - 2010
- [c6]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: 369-371 - [c5]Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang, Ning Yang, Chuan Li:
Hotspot District Trajectory Prediction. WAIM Workshops 2010: 74-84 - [c4]Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun Li, Jun Zhu:
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams. WAIM 2010: 238-249
2000 – 2009
- 2009
- [c3]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: 420-424 - [c2]Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, Jun Zhu:
Mining Interventions from Parallel Event Sequences. APWeb/WAIM 2009: 297-307 - [c1]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: 519-525
Coauthor Index
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