| Featured projects | Duration |
|---|---|
|
Cybersecurity Defence Strategies of Distribution Synchrophasor in Smart Grids UQ Cyber Seed Funding |
2021–2022 |
Journal Articles
Wang, Meng, Chen, Weitong, Wang, Sen, Jiang, Yinlin, Yao, Lina and Qi, Guilin (2021). Efficient search over incomplete knowledge graphs in binarized embedding space. Future Generation Computer Systems, 123, 24-34. doi: 10.1016/j.future.2021.04.006
Zhang, Yuxin, Li, Bohan, Gao, Han, Ji, Ye, Yang, Han, Wang, Meng and Chen, Weitong (2021). Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks. Big Data Research, 25 100218, 1-9. doi: 10.1016/j.bdr.2021.100218
Yue, Lin, Shen, Hao, Wang, Sen, Boots, Robert, Long, Guodong, Chen, Weitong and Zhao, Xiaowei (2021). Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning. ACM Transactions on Knowledge Discovery from Data, 15 (5) 3450449, 1-20. doi: 10.1145/3450449
Li, Bohan, Liang, Ruochen, Zhu, Di, Chen, Weitong and Lin, Qinyong (2021). Blockchain-based trust management model for location privacy preserving in VANET. IEEE Transactions on Intelligent Transportation Systems, 22 (6) 9262037, 3765-3775. doi: 10.1109/tits.2020.3035869
Gao, Han, Li, Bohan, Xie, Wenbin, Zhang, Yuxin, Guan, Donghai, Chen, Weitong and Cai, Ken (2021). CSIP: enhanced link prediction with context of social influence propagation. Big Data Research, 24 100217, 100217. doi: 10.1016/j.bdr.2021.100217
Huang, Haoran, Lin, Qinyong, Chen, Weitong, Fang, Kai, Chen, Huazhou and Cai, Ken (2021). Dynamic Multi-Attribute Decision-Making Method with Double Reference Points and Its Application. Computers, Materials and Continua, 68 (1), 1303-1320. doi: 10.32604/cmc.2021.016163
Wang, Yanda, Chen, Weitong, Pi, Dechang and Yue, Lin (2021). Adversarially regularized medication recommendation model with multi-hop memory network. Knowledge and Information Systems, 63 (1), 125-142. doi: 10.1007/s10115-020-01513-9
Wang, Yanda, Chen, Weitong, Pi, Dechang and Boots, Robert (2020). Graph augmented triplet architecture for fine-grained patient similarity. World Wide Web, 23 (5), 2739-2752. doi: 10.1007/s11280-020-00794-y
Li, Bohan, Zhang, Anman, Chen, Weitong, Yin, Hailian and Cai, Ken (2020). Active cross-query learning: a reliable labeling mechanism via crowdsourcing for smart surveillance. Computer Communications, 152, 149-154. doi: 10.1016/j.comcom.2020.01.049
Zhang, Anman, Li, Bohan, Wang, Wenhuan, Wan, Shuo and Chen, Weitong (2020). MII: A novel text classification model combining deep active learning with BERT. Computers Materials and Continua, 63 (3), 1499-1514. doi: 10.32604/cmc.2020.09962
Cai, Ken, Yue, Hongwei, Li, Bohan, Chen, Weitong and Huang, Wenhua (2020). Combining chrominance features and fast ICA for noncontact imaging photoplethysmography. IEEE Access, 8 9032110, 50171-50179. doi: 10.1109/access.2020.2979991
Yue, Lin, Tian, Dongyuan, Chen, Weitong, Han, Xuming and Yin, Minghao (2020). Deep learning for heterogeneous medical data analysis. World Wide Web, 23 (5), 2715-2737. doi: 10.1007/s11280-019-00764-z
Chen, Weitong, Long, Guodong, Yao, Lina and Sheng, Quan Z. (2019). AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web, 23 (5), 2753-2770. doi: 10.1007/s11280-019-00720-x
Ma, Jingwei, Wen, Jiahui, Zhong, Mingyang, Chen, Weitong and Li, Xue (2019). MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning. Data Science and Engineering, 4 (3), 240-253. doi: 10.1007/s41019-019-00101-4
Li, Yuwen, Chen, Weitong, Liu, Deyin, Zhang, Zhimin, Wu, Shunxiang and Liu, Chengyu (2019). IFFLC: an integrated framework of feature learning and classification for multiple diagnosis codes assignment. IEEE Access, 7 8656469, 36810-36818. doi: 10.1109/ACCESS.2019.2902467
Yue, Lin, Chen, Weitong, Li, Xue, Zuo, Wanli and Yin, Minghao (2018). A survey of sentiment analysis in social media. Knowledge and Information Systems, 60 (2), 1-47. doi: 10.1007/s10115-018-1236-4
Yang, Yongjian, Xu, Yuanbo, Han, Jiayu, Wang, En, Chen, Weitong and Yue, Lin (2017). Efficient traffic congestion estimation using multiple spatio-temporal properties. Neurocomputing: an international journal, 267, 344-353. doi: 10.1016/j.neucom.2017.06.017
Wang, Meng, Chen, Weitong, Wang, Sen, Liu, Jun, Li, Xue and Stantic, Bela (2017). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77 (3), 3405-3429. doi: 10.1007/s11042-017-5151-6
Yue, Lin, Shi, Zhenkun, Han, Jiayu, Wang, Sen, Chen, Weitong and Zuo, Wanli (2017). Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing, 253, 6-14. doi: 10.1016/j.neucom.2016.12.084
Wang, Sen, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Chen, Weitong (2016). Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Processing, 120, 746-753. doi: 10.1016/j.sigpro.2014.12.012
Wang, Sen, Pan, Pingbo, Long, Guodong, Chen, Weitong, Li, Xue and Sheng, Quan Z. (2015). Compact representation for large-scale unconstrained video analysis. World Wide Web, 19 (2), 231-246. doi: 10.1007/s11280-015-0354-0
Conference Papers
Zhang, Chenhao, Zhang, Yanjun, Mao, Jeff, Chen, Weitong, Yue, Lin, Bai, Guangdong and Xu, Miao (2022). Towards better generalization for neural network-based SAT solvers. 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, 16-19 May 2022. CHAM: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-05936-0_16
Han, Kun, Chen, Weitong and Xu, Miao (2022). Investigating active positive-unlabeled learning with deep networks. Australasian Joint Conference on Artificial Intelligence (AI), Electr Network, 2-4 February 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-97546-3_49
Tran, Khai Phan, Chen, Weitong and Xu, Miao (2022). Improving traffic load prediction with multi-modality: a case study of Brisbane. 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, 2-4 February 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-97546-3_21
Qiu, Yixuan, Chen, Weitong, Yue, Lin, Xu, Miao and Zhu, Baofeng (2022). STCT: Spatial-temporal conv-transformer network for cardiac arrhythmias recognition. International Conference on Advanced Data Mining and Applications, Sydney, NSW, Australia, 2-4 February 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-95405-5_7
Wang, Yanda, Chen, Weitong, Pi, Dechang, Yue, Lin, Xu, Miao and Li, Xue (2021). Multi-hop reading on memory neural network with selective coverage for medication recommendation. ACM International Conference on Information & Knowledge Management, Virtual Event, 1-5 November 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3459637.3482278
Wang, Yanda, Chen, Weitong, PI, Dechang, Yue, Lin, Wang, Sen and Xu, Miao (2021). Self-supervised adversarial distribution regularization for medication recommendation. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/431
Su, Guangxin, Chen, Weitong and Xu, Miao (2021). Positive-unlabeled learning from imbalanced data. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/412
Liu, Bing, Zuccon, Guido, Hua, Wen and Chen, Weitong (2021). Diagnosis ranking with knowledge graph convolutional networks. 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28-April 1 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-72113-8_24
Ma, Jingwei, Wen, Jiahui, Zhong, Mingyang, Liu, Liangchen, Li, Chaojie, Chen, Weitong, Yang, Yin, Tu, Hongkui and Li, Xue (2019). DBRec: dual-bridging recommendation via discovering latent groups. CIKM '19, Beijing, China, 3-7 November 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3357384.3357892
Xu, Xin, Huang, Zeyu, Wu, Jingyi, Fu, Yanjie, Luo, Na, Chen, Weitong, Wang, Jianan and Yin, Minghao (2019). Finding the key influences on the house price by finite mixture model based on the real estate data in Changchun. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-18590-9_49
Zhang, Zhimin, Chen, Weitong, Liu, Chengyu, Kang, Yun, Liu, Feng, Li, Yuwen and Wei, Shoushui (2019). Robust feature selection based on fuzzy rough sets with representative sample. ADMA: International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_11
Chen, Weitong, Yue, Lin, Li, Bohan, Wang, Can and Sheng, Quan Z. (2019). DAMTRNN: A Delta attention-based multi-task RNN for intention recognition. International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_27
Shi, Zhenkun, Zuo, Wanli, Chen, Weitong, Yue, Lin, Hao, Yuwei and Liang, Shining (2019). DMMAM: Deep multi-source multi-task attention model for intensive care unit diagnosis. 24th International Conference on Database Systems for Advanced Applications (DASFAA), Chiang Mai, Thailand, 22-15 April 2019. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-18579-4_4
Shi, Zhenkun, Yue, Lin, Zuo, Wanli, Han, Jiayu, Chen, Weitong and Feng, Lizhou (2019). User relation prediction based on matrix factorization and hybrid particle swarm optimization. 26th International World Wide Web Conference, WWW 2017 Companion, Perth, WA, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051151
Wang, Ruijie, Wang, Meng, Liu, Jun, Chen, Weitong, Cochez, Michael and Decker, Stefan (2019). Leveraging knowledge graph embeddings for natural language question answering. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-18576-3_39
Shi, Zhenkun, Chen, Weitong, Liang, Shining, Zuo, Wanli, Yue, Lin and Wang, Sen (2019). Deep interpretable mortality model for intensive care unit risk prediction. International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_45
Chen, Weitong and Long, Guodong (2019). Deep learning for healthcare data processing. 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-18590-9c
Ma, Jingwei, Wen, Jiahui, Zhong, Mingyang, Chen, Weitong, Zhou, Xiaofang and Indulska, Jadwiga (2019). Multi-source multi-net micro-video recommendation with hidden item category discovery. DASFAA 2019: Database Systems for Advanced Applications, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-18579-4_23
Wang, Yanda, Chen, Weitong, Li, Bohan and Boots, Robert (2019). Learning fine-grained patient similarity with dynamic Bayesian network embedded RNNs. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-18576-3_35
Ma, Jingwei, Zhong, Mingyang, Wen, Jiahui, Chen, Weitong, Zhou, Xiaofang and Li, Xue (2019). RecKGC: Integrating Recommendation with Knowledge Graph Completion. 15th International Conference, ADMA 2019, Dalian, China, 21–23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_18
Chen, Weitong, Wang, Sen, Zhang, Xiang, Yao, Lina, Yue, Lin, Qian, Buyue and Li, Xue (2018). EEG-based motion intention recognition via multi-task RNNs. 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, CA, United States, 3-5 May 2018. Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611975321.32
Utomo, Chandra Prasetyo, Li, Xue and Chen, Weitong (2018). Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states. 39th International Conference on Information Systems, ICIS 2018, San Francisco, CA United States, 13-16 December 2018. Atlanta, GA United States: Association for Information Systems.
Zhang, Dalin, Yao, Lina, Zhang, Xiang, Wang, Sen, Chen, Weitong and Boots, Robert (2018). Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface. 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, LA, United States, 2-7 February 2018. Palo Alto, CA, United States: AAAI press. doi: 10.1609/aaai.v32i1.11496
Chen, Weitong, Wang, Sen, Long, Guodong, Yao, Lina, Sheng, Quan Z. and Li, Xue (2018). Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17 - 20 November 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2018.00111
Chen, Hongxu, Yin, Hongzhi, Li, Xue, Wang, Meng, Chen, Weitong and Chen, Tong (2017). People opinion topic model: opinion based user clustering in social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051159
Zheng, Yuanhao, Wei, Bifan, Liu, Jun, Wang, Meng, Chen, Weitong, Wu, Bei and Chen, Yihe (2017). Quality prediction of newly proposed questions in CQA by leveraging weakly supervised learning. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, 5-6 November 6 2017. Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-319-69179-4_46
Xie, Min, Yin, Hongzhi, Wang, Hao, Xu, Fanjiang, Chen, Weitong and Wang, Sen (2016). Learning graph-based POI embedding for location-based recommendation. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983711
Li, Bohan, Zhang, Chao, Chen, Weitong, Yang, Yingbao, Feng, Shaohong, Zhang, Qiqian, Yuan, Weiwei and Li, Dongjing (2016). Dynamic reverse furthest neighbor querying algorithm of moving objects. 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, Gold Coast, QLD, Australia, 12-15 December 2016. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-49586-6_18
Thesis
Chen, Weitong (2020). Deep multi-task learning on time-series medical data. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2020.1024