Publications [Google Scholar] [DBLP]

arXiv Preprints

  1. KECRS: Towards Knowledge-Enriched Conversational Recommendation System
    Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
    arXiv:2105.08261, May 2021.

  2. 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.

  3. 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.

Selected Conference & Journal Papers

  1. SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations
    Chenyi Lei, Yong Liu, Lingzi Zhang, Guoxin Wang, Haihong Tang, Houqiang Li, Chunyan Miao
    Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), Applied Data Science Track, Accepted. Virtual Conference, May 2021.

  2. Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
    Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao
    Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), Research Track, Accepted. Virtual Conference, May 2021.
    [Code & Data]

  3. Neighbor-Anchored Adversarial Graph Neural Networks
    Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted, May 2021. (Impact Factor: 4.935)

  4. 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)

  5. 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)

  6. 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.
    Bioinformatics. (Impact Factor: 5.610)
    [Code & Data]

  7. 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)

  8. 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). Pages 4036-4044. Virtual Conference, February 2021.

  9. Keyword-Guided Neural Conversational Model
    Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao
    Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021). Pages 14568-14576. Virtual Conference, February 2021.
    [Code & Data]

  10. 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. Virtual Conference, November 2020.
    [Code & Data]

  11. 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 2020.
    Bioinformatics, Volume 36, Issue Supplement_2, Pages i779–i786, December 2020. (Impact Factor: 5.610)
    [Code & Data]

  12. 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. Virtual Conference, January 2021.
    [Code & Data]

  13. 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. Virtual Conference, January 2021.
    [Code & Data]

  14. 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, USA, February 2020.

  15. 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), Volume 17, Issue 3, Pages 748–757, April 2019. (Impact Factor: 3.015)
    [Code & Data]

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
    Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiao-Li Li
    PLOS Computational Biology, Volume 12, Issue 2, e1004760, February 2016. (Impact factor: 4.62)
    [Code & Data]

  22. 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.

  23. 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]

  24. 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]

  25. 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.

  26. 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, USA. Oct 2013.

Book Chapters

  1. 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.

  2. 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.