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. SELFCF: A Simple Framework for Self-supervised Collaborative Filtering
    Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
    arXiv:2107.03019, July 2021.
    [Code & Data]

Conference & Journal Papers

2021

  1. Pre-training Graph Transformer with Multimodal Side Information for Recommendation
    Yong Liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Aixin Sun, Chunyan Miao
    Proceedings of the 29th ACM International Conference on Multimedia (ACM MM 2021, Oral Presentation), Accepted, Oct. 20-24, 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
    Proceedings of the 29th ACM International Conference on Multimedia (ACM MM 2021), Accepted, Oct. 20-24, 2021.

  3. 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), ADS Track, Accepted, Aug. 14-18, 2021.

  4. 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, Aug. 14-18, 2021.
    [Code & Data]

  5. 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). Jul. 25-30, 2021.
    Bioinformatics, Volume 37, Issue Supplement_1, Pages i418–i425, July 2021. (Impact Factor: 6.937)
    [Code & Data]

  6. 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: 6.977)
    [Code & Data]

  7. 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: 6.977)
    [Code & Data]

  8. 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: 8.038)

  9. 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: 6.977)
    [Code & Data]

  10. Adaptive Course Recommendation in MOOCs
    Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu
    Knowledge-Based Systems, Accepted, April 2021. (Impact Factor: 8.038)

  11. 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: 6.937)

  12. 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. Feb. 2-9, 2021.

  13. 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. Feb. 2-9, 2021.
    [Code & Data]

2020

  1. 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 & Measurement, Volume 70, Accepted, November 2020.

  2. 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. Nov. 16-20, 2020.
    [Code & Data]

  3. 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: 6.937)
    [Code & Data]

  4. Kernel-Target Alignment based Non-linear Metric Learning
    Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min
    Neurocomputing, Volume 411, Pages 54-66, June 2020.

  5. Deep Learning with Long Short Term Memory Network for Classification of Dementia Related Travel Pattern
    Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenhua Chen, Min Wu, Xiaoli Li
    Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020). Pages 5563-5566. Jul. 20-24, 2020.

  6. 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. Jan. 7-15, 2021.
    [Code & Data]

  7. 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. Jan. 7-15, 2021.
    [Code & Data]

  8. 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, Feb. 7-12, 2020.

  9. 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). Volume 13, Pages 659-674, February 2020.

2019 & Before

  1. 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: 3.71)
    [Code & Data]

  2. 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, Aug. 10-16, 2019.

  3. 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, Aug. 4-8, 2019.

  4. 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, Jul. 13-19, 2018.

  5. 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 3-5, 2018.

  6. 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, Aug. 19-25, 2017.

  7. 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, Aug. 19-25, 2017.

  8. 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]

  9. 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, Jul. 9-16, 2016.

  10. 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, Jul. 25-31, 2015.
    [Code & Data]

  11. 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. 3-7, 2014.
    [Code][Data]

  12. 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, Jul. 6-11, 2014.

  13. 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. 27-Nov. 1, 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.