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2021

Journal Article

Secure your ride: real-time matching success rate prediction for passenger-driver pairs

Wang, Yuandong, Yin, Hongzhi, Wu, Lian, Chen, Tong and Liu, Chunyang (2021). Secure your ride: real-time matching success rate prediction for passenger-driver pairs. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-14. doi: 10.1109/tkde.2021.3112739

Secure your ride: real-time matching success rate prediction for passenger-driver pairs

2020

Journal Article

CRSAL: conversational recommender systems with adversarial learning

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Hung, Nguyen Quoc Viet, Huang, Zi and Zhang, Xiangliang (2020). CRSAL: conversational recommender systems with adversarial learning. ACM Transactions on Information Systems, 38 (4) 3394592, 1-40. doi: 10.1145/3394592

CRSAL: conversational recommender systems with adversarial learning

2020

Conference Publication

Multi-level graph convolutional networks for cross-platform Anchor Link Prediction

Chen, Hongxu, Yin, Hongzhi, Sun, Xiangguo, Chen, Tong, Gabrys, Bogdan and Musial, Katarzyna (2020). Multi-level graph convolutional networks for cross-platform Anchor Link Prediction. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Virtual Event, CA, United States, 23-27 August 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3394486.3403201

Multi-level graph convolutional networks for cross-platform Anchor Link Prediction

2020

Other Outputs

Sequence modelling for e-commerce

Chen, Tong (2020). Sequence modelling for e-commerce. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2020.1003

Sequence modelling for e-commerce

2020

Conference Publication

Try this instead: personalized and interpretable substitute recommendation

Chen, Tong, Yin, Hongzhi, Ye, Guanhua, Huang, Zi, Wang, Yang and Wang, Meng (2020). Try this instead: personalized and interpretable substitute recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401042

Try this instead: personalized and interpretable substitute recommendation

2020

Conference Publication

GAG: global attributed graph neural network for streaming session-based recommendation

Qiu, Ruihong, Yin, Hongzhi, Huang, Zi and Chen, Tong (2020). GAG: global attributed graph neural network for streaming session-based recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China , 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401109

GAG: global attributed graph neural network for streaming session-based recommendation

2020

Journal Article

Maintenance Personnel Detection and Analysis Using Mask-RCNN Optimization on Power Grid Monitoring Video

Chen, Tong, Jiang, Ying, Jian, Wang, Qiu, Lanxin, Liu, Huan and Xiao, Zhaolin (2020). Maintenance Personnel Detection and Analysis Using Mask-RCNN Optimization on Power Grid Monitoring Video. Neural Processing Letters, 51 (2), 1599-1610. doi: 10.1007/s11063-019-10159-w

Maintenance Personnel Detection and Analysis Using Mask-RCNN Optimization on Power Grid Monitoring Video

2020

Journal Article

Social boosted recommendation with folded bipartite network embedding

Chen, Hongxu, Yin, Hongzhi, Chen, Tong, Wang, Weiqing, Li, Xue and Hu, Xia (2020). Social boosted recommendation with folded bipartite network embedding. IEEE Transactions on Knowledge and Data Engineering, 34 (2), 914-926. doi: 10.1109/tkde.2020.2982878

Social boosted recommendation with folded bipartite network embedding

2020

Conference Publication

Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion

Chen, Xudong, Li, Ming, Chen, Tong, Du, Sidan and Li, Yang (2020). Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Kyoto, Japan, 10-12 March 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/LifeTech48969.2020.1570618909

Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion

2020

Conference Publication

Decentralized embedding framework for large-scale networks

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Shao, Yingxia, Zhang, Xiangliang and Zhou, Xiaofang (2020). Decentralized embedding framework for large-scale networks. International Conference on Database Systems for Advanced Applications, Jeju, South Korea, 24-27 September 2020. Heidelberg, Germany: Springer . doi: 10.1007/978-3-030-59419-0_26

Decentralized embedding framework for large-scale networks

2020

Conference Publication

Learned video compression via joint spatial-temporal correlation exploration

Liu, Haojie, Shen, Han, Huang, Lichao, Lu, Ming, Chen, Tong and Ma, Zhan (2020). Learned video compression via joint spatial-temporal correlation exploration. 34th AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY United States, 7-12 February 2020. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v34i07.6825

Learned video compression via joint spatial-temporal correlation exploration

2020

Conference Publication

Next point-of-interest recommendation on resource-constrained mobile devices

Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Huang, Zi, Wang, Hao, Zhao, Yanchang and Viet Hung, Nguyen Quoc (2020). Next point-of-interest recommendation on resource-constrained mobile devices. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380170

Next point-of-interest recommendation on resource-constrained mobile devices

2020

Conference Publication

Where to go next: modeling long- and short-term user preferences for point-of-interest recommendation

Sun, Ke, Qian, Tieyun, Chen, Tong, Liang, Yile, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2020). Where to go next: modeling long- and short-term user preferences for point-of-interest recommendation. AAAI Conference on Artificial Intelligence, New York, NY, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v34i01.5353

Where to go next: modeling long- and short-term user preferences for point-of-interest recommendation

2020

Conference Publication

Sequence-aware factorization machines for temporal predictive analytics

Chen, Tong, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Peng, Wen-Chih, Li, Xue and Zhou, Xiaofang (2020). Sequence-aware factorization machines for temporal predictive analytics. 2020 IEEE 36th International Conference on Data Engineering, Dallas, Texas, United States, 20-24 April 2020. LOS ALAMITOS: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00125

Sequence-aware factorization machines for temporal predictive analytics

2020

Conference Publication

GCN-based user representation learning for unifying robust recommendation and fraudster detection

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Hung, Quoc Viet Nguyen, Huang, Zi and Cui, Lizhen (2020). GCN-based user representation learning for unifying robust recommendation and fraudster detection. SIGIR '20: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, July 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3397271.3401165

GCN-based user representation learning for unifying robust recommendation and fraudster detection

2019

Conference Publication

Codedretrieval: Joint image compression and retrieval with neural networks

Liu, Linfeng, Liu, Haojie, Chen, Tong, Shen, Qiu and Ma, Zhan (2019). Codedretrieval: Joint image compression and retrieval with neural networks. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/VCIP47243.2019.8965918

Codedretrieval: Joint image compression and retrieval with neural networks

2019

Journal Article

Online sales prediction via trend alignment-based multitask recurrent neural networks

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wang, Hao, Zhou, Xiaofang and Li, Xue (2019). Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowledge and Information Systems, 62 (6), 2139-2167. doi: 10.1007/s10115-019-01404-8

Online sales prediction via trend alignment-based multitask recurrent neural networks

2019

Journal Article

An integrated strategy to identify genes responsible for sesquiterpene biosynthesis in turmeric

Sun, Jingru, Cui, Guanghong, Ma, Xiaohui, Zhan, Zhilai, Ma, Ying, Teng, Zhongqiu, Gao, Wei, Wang, Yanan, Chen, Tong, Lai, Changjiangsheng, Zhao, Yujun, Tang, Jinfu, Lin, Huixin, Shen, Ye, Zeng, Wen, Guo, Juan and Huang, Luqi (2019). An integrated strategy to identify genes responsible for sesquiterpene biosynthesis in turmeric. Plant Molecular Biology, 101 (3), 221-234. doi: 10.1007/s11103-019-00892-0

An integrated strategy to identify genes responsible for sesquiterpene biosynthesis in turmeric

2019

Conference Publication

Minimal path based particle tracking in low SNR fluorescence microscopy images

Lu, Sheng, Chen, Tong, Yang, Fan, Peng, Chenglei, Du, Sidan and Li, Yang (2019). Minimal path based particle tracking in low SNR fluorescence microscopy images. ICBIP '19: 2019 4th International Conference on Biomedical Signal and Image Processing, Chendgu, China, 13 - 15 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3354031.3354035

Minimal path based particle tracking in low SNR fluorescence microscopy images

2019

Conference Publication

Convolutional Recurrent Neural Networks for Text Classification

Wang, Ruishuang, Li, Zhao, Cao, Jian, Chen, Tong and Wang, Lei (2019). Convolutional Recurrent Neural Networks for Text Classification. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852406

Convolutional Recurrent Neural Networks for Text Classification