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Xiangnan Kong
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Publications
- 2023
- [c107]Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. IEEE Big Data 2023: 453-462 - [i31]Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. CoRR abs/2311.02466 (2023) - 2022
- [j17]Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task attributed graphical lasso and its application in fund classification. World Wide Web 25(3): 1425-1446 (2022) - 2021
- [i26]Hang Yin, Xinyue Liu, Xiangnan Kong:
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks. CoRR abs/2101.05348 (2021) - 2020
- [c92]Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task Attributed Graphical Lasso. APWeb/WAIM (1) 2020: 670-684 - [c89]Hang Yin, Xinyue Liu, Xiangnan Kong:
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks. IEEE BigData 2020: 1430-1435 - [c85]Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu:
Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. DASFAA (3) 2020: 87-103 - [c83]Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore:
Recurrent Networks for Guided Multi-Attention Classification. KDD 2020: 412-420 - [c80]Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore:
Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. SDM 2020: 379-387 - 2019
- [c78]Jianjun Luo, Xinyue Liu, Xiangnan Kong:
Competitive opinion maximization in social networks. ASONAM 2019: 250-257 - [c66]Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong:
Signed Distance-based Deep Memory Recommender. WWW 2019: 1841-1852 - [i23]Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong:
Signed Distance-based Deep Memory Recommender. CoRR abs/1905.00453 (2019) - 2018
- [c55]Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang:
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. ICDM 2018: 1140-1145 - [c54]Hang Yin, Xiangnan Kong, Xinyue Liu:
Coherent Graphical Lasso for Brain Network Discovery. ICDM 2018: 1392-1397 - [c52]Xinyue Liu, Xiangnan Kong, Philip S. Yu:
Active Opinion Maximization in Social Networks. KDD 2018: 1840-1849 - [i20]Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang:
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. CoRR abs/1808.07582 (2018) - 2017
- [c48]Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong:
BiCycle: Item Recommendation with Life Cycles. ICDM 2017: 297-306 - [c47]Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu:
Kernel-Based Feature Extraction for Collaborative Filtering. ICDM 2017: 1057-1062 - [c46]Xinyue Liu, Xiangnan Kong, Philip S. Yu:
Collective discovery of brain networks with unknown groups. IJCNN 2017: 3569-3576 - [c45]Xinyue Liu, Xiangnan Kong, Ann B. Ragin:
Unified and Contrasting Graphical Lasso for Brain Network Discovery. SDM 2017: 180-188 - [c43]Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu:
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. SDM 2017: 642-650 - 2016
- [c40]Xinyue Liu, Xiangnan Kong, Yanhua Li:
Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media. CIKM 2016: 2179-2184 - [c38]Xinyue Liu, Charu C. Aggarwal, Yu-Feng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe:
Kernelized Matrix Factorization for Collaborative Filtering. SDM 2016: 378-386
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