arXiv Preprints
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li
arXiv:2104.09411, April 2021.
Pre-training Graph Transformer with Multimodal Side Information for Recommendation
Yong Liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Sun Aixin, Chunyan Miao
arXiv:2010.12284v2, January 2021.
Back Attention Knowledge Transfer for Low-resource Named Entity Recognition
Linghao Sun, Huixiong Yi, Yong Liu, Huanhuan Chen, Chunyan Miao
arXiv:1906.01183, September 2019.
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation
Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan
arXiv:1903.07826, March 2019.
Recent Advances in Diversified Recommendation
Qiong Wu, Yong Liu, Chunyan Miao, Yin Zhao, Lu Guan, Haihong Tang
arXiv:1905.06589, May 2019.
Multi-Scale Quasi-RNN for Next Item Recommendation
Chaoyue He, Yong Liu, Qingyu Guo, Chunyan Miao
arXiv:1902.09849, February 2019.
Selected Conference & Journal Papers
2021
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted, May 2021. (Impact Factor: 4.935)
Learning Hierarchical Review Graph Representation for Recommendation
Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted, April 2021. (Impact Factor: 4.935)
Adaptive Power Iteration Clustering
Bo Liu, Yong Liu, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, Chunyan Miao
Knowledge-Based Systems, Accepted, May 2021. (Impact Factor: 5.921)
Adaptive Course Recommendation in MOOCs
Yuanguo Lin, Shibo Feng, Wenhua Zeng, Fan Lin, Yong Liu, Pengcheng Wu
Knowledge-Based Systems, Accepted, April 2021. (Impact Factor: 5.921)
KG4SL: Knowledge Graph Neural Network for Synthetic Lethality Prediction in Human Cancers
Shike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu, Jie Zheng
The 29th Conference on Intelligent Systems for Molecular Biology and 20th European Conference on Computational Biology (ISMB/ECCB 2021), Accepted, April 2021.
Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers
Yahui Long, Min Wu, Yong Liu, Jie Zheng, Kwoh Chee Kong, Jiawei Luo, Xiaoli-Li
Bioinformatics, Accepted, February 2021. (Impact Factor: 5.610)
A Hybrid Bandit Framework for Diversified Recommendation
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Accepted.
Keyword-Guided Neural Conversational Model
Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Accepted.
[Code & Data]
2020
Remote Heart Rate Measurement from Near-Infrared Videos Based on Joint Blind Source Separation with Delay-Coordinate Transformation
Juan Cheng, Ping Wang, Rencheng Song, Yu Liu, Chang Li, Yong Liu, Xun Chen
IEEE Transactions on Instrumentation and Measurement (TIM), 2020 November 27. doi: 10.1109/TIM.2020.3041083. (Impact Factor: 3.658)
Towards Persona-Based Empathetic Conversational Models
Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, Chunyan Miao
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Pages 6556–6566. November 2020.
[Code & Data]
Ensembling graph attention networks for humanmicrobe-drug association prediction
Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiao-li Li
The 19th European Conference on Computational Biology (ECCB 2020), September 2021.
Bioinformatics, Volume 36, Issue Supplement_2, December 2020, Pages i779–i786. (Impact Factor: 5.610)
[Code & Data]
Kernel-Target Alignment based Non-linear Metric Learning
Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min
Neurocomputing, 2020 June 16. doi: 10.1016/j.neucom.2020.06.042. (Impact Factor: 4.438)
Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). Pages 2561-2567. Kyoto, Japan, January 2021.
[Code & Data]
Contextualized Point-of-Interest Recommendation
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). Pages 2484-2490. Kyoto, Japan, January 2021.
[Code & Data]
Spectral-Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional Networks
Liang Zou, Xingliang Zhu, Changfeng Wu, Yong Liu, Lei Qu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2020 February 5. doi: 10.1109/JSTARS.2020.2968179. (Impact Factor: 3.827)
Diversified Interactive Recommendation with Implicit Feedback
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang
Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). Pages 4932-4939. New York City, New York, USA, February 2020.
2019 and before
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization
Yong Liu, Min Wu, Chenghao Liu, Xiao-Li Li, Jie Zheng
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2019 April 9. doi: 10.1109/TCBB.2019.2909908. (Impact Factor: 3.015)
[Code & Data]
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation
Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan
Proceedings of 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). Pages 3870-3876. Macao, China, August 2019.
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization
Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis
Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019). Pages 705-713. Alaska, USA, August 2019.
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback
Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin
Proceedings of 27th International Joint Conference on Artificial Intelligence (IJCAI 2018). Pages 3463-3469. Stockholm, Sweden, July 2018.
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback
Peng Yang, Peilin Zhao, Yong Liu, Xin Gao
Proceedings of 2018 SIAM International Conference on Data Mining (SDM 2018). Pages 621-629. San Diego, California, USA, May 2018.
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiao-Li Li
Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI 2017). Pages 2379-2385. Melbourne, Australia, August 2017.
Online Multitask Relative Similarity Learning
Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao
Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI 2017). Pages 1823-1829. Melbourne, Australia, August 2017.
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiao-Li Li
PLOS Computational Biology, 2016, 12(2): e1004760, doi: 10.1371/journal.pcbi.1004760. (Impact factor: 4.62)
[Code & Data]
Exploring the Context of Locations for Personalized Location Recommendations
Xin Liu, Yong Liu, Xiao-Li Li
Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI 2016). Pages 1188-1194. New York City, USA, July 2016.
A Boosting Algorithm for Item Recommendation with Implicit Feedback
Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao
Proceedings of 24th International Joint Conference on Artificial Intelligence (IJCAI 2015). Pages 1792-1798. Buenos Aires, Argentina, July 2015.
[Code & Data]
Exploiting Geographical Neighborhood Characteristics for Location Recommendation
Yong Liu, Wei Wei, Aixin Sun, Chunyan Miao
Proceedings of 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). Pages 739-748. Shanghai, China. Nov 2014.
[Code][Data]
Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence to Rating Prediction
Longke Hu, Aixin Sun, Yong Liu
Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2014). Pages 345-354. Gold Coast, Australia. July 2014.
Personalized Point-of-Interest Recommendation by Mining Users’ Preference Transition
Xin Liu, Yong Liu, Karl Aberer, Chunyan Miao
Proceedings of 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013). Pages 733-738. San Francisco, CA, USA. Oct 2013.
Book Chapters
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks
Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu and Xiaoli Li
Generalization With Deep Learning: For Improvement On Sensing Capability, Edited by Zhenghua Chen, Min Wu, Xiaoli Li, ISBN: 978-981-121-885-9, World Scientific, April 2021.
Matrix Factorization for Drug-Target Interaction Prediction
Yong Liu, Min Wu, Peilin Zhao, Xiao-Li Li
High Performance Computing for Big Data: Methodologies and Applications, Edited by Chao Wang, ISBN: 978-1498783996, CRC Press, October 2017
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