I am a PhD student at the National Center for Text Mining (NaCTeM) at the University of Manchester, advised by Prof. Sophia Ananiadou. In June 2020, I received my Master degree from the School of Computer Science and Technology, University of Chinese Academy of Sciences (UCAS). Prior to this, I received my BS degree from Nankai University in June 2017.

My current research interests include Natural Language Processing (especially BioNLP), Artificial intelligence and so on. 🎉

Publications

2021

Zhang, T., Schoene, A. M., & Ananiadou, S. (2021). Automatic identification of suicide notes with a transformer-based deep learning model. Internet Interventions, 100422.
Alhuzali, H., Zhang, T. and Ananiadou, S., Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier., in: CLEF (Working Notes), In Press
Zhang, T., Cui, Z., Leng, J., & Liu, Y. (2021, May). CSFQGD: Chinese Sentence Fill-in-the-blank Question Generation Dataset for Examination. In 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 609-613). IEEE.

2020

Zhang, T., Leng, J., & Liu, Y. (2020). Deep learning for drug–drug interaction extraction from the literature: a review. Briefings in bioinformatics, 21(5), 1609-1627.(IF=9.101)
Cui, Z., Leng, J., Liu, Y., Zhang, T., Quan, P., & Zhao, W. SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing, 2021. (IF=5.855)
Liu, Y., Wang, W., Zhang, T., & Cui, Z. (2020, November). AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit Scoring. In 2020 International Conference on Data Mining Workshops (ICDMW) (pp. 356-361). IEEE.

2019

Cui, Z., Gao, Z., Leng, J., Zhang, T., Quan, P., & Zhao, W. (2019, November). Alzheimer’s Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2324-2330). IEEE.
Leng, J., Cui, Z., Xiang, C., Zhang, T., & Quan, P. (2019, November). A Novel Neuron Connection Model Mimicking Human Beings. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1217-1219). IEEE.
Zhang, T., Liu, Y., Cui, Z., Leng, J., Xie, W., & Zhang, L. (2019, June). Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network. In International Conference on Computational Science (pp. 304-314). Springer, Cham.
Liu, Y., Cui, Z., Zhang, T., Leng, J., Xie, W., & Zhang, L. (2019, June). CA-RPT: Context-Aware Road Passage Time Estimation for Urban Traffic. In International Conference on Computational Science (pp. 664-673). Springer, Cham.
Quan, P., Shi, Y., Lei, M., Leng, J., Zhang, T., & Niu, L. (2019, October). A Brief Review of Receptive Fields in Graph Convolutional Networks. In IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume (pp. 106-110).
Leng, J., Liu, Y., Du, D., Zhang, T., & Quan, P. (2019). Robust obstacle detection and recognition for driver assistance systems. IEEE Transactions on Intelligent Transportation Systems, 21(4), 1560-1571.(IF=5.744)

2018

Zhang, T., & Quan, P. (2018, December). Domain specific automatic Chinese multiple-type question generation. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1967-1971). IEEE.
Leng, J., Liu, Y., Zhang, T., Quan, P., & Cui, Z. (2018, December). Context-aware u-net for biomedical image segmentation. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2535-2538). IEEE.
Leng, J., Liu, Y., Zhang, T., & Quan, P. (2018, November). Context learning network for object detection. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 667-673). IEEE.
Liu, Y., Zhang, T., Quan, P., Wen, Y., Wu, K., & He, H. (2018, June). A Novel Parsing-Based Automatic Domain Terminology Extraction Method. In International Conference on Computational Science (pp. 796-802). Springer, Cham.
Quan, P., Liu, Y., Zhang, T., Wen, Y., Wu, K., He, H., & Shi, Y. (2018, June). A Novel Data Mining Approach Towards Human Resource Performance Appraisal. In International Conference on Computational Science (pp. 476-488). Springer, Cham.

Professional services

Journal Reviewer:
Briefings in bioinformatics
BMC Supplements
IEEE Transactions on Neural Networks and Learning Systems
IEEE/ACM Transactions on Audio, Speech and Language Processing
IEEE Journal of Biomedical and Health Informatics
IEEE ACCESS
Journal of Biomedical Informatics
Program Committee/Reviewer:
2022 International Conference on Learning Representations (ICLR 2022)
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)
2021 International Conference on Learning Representations (ICLR 2021)
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)
International Conference on Bioinformatics & Biomedicine 2021 （BIBM 2021）
The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2021)
The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021)
The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021)
The 28th International Conference on Neural Information Processing (ICONIP 2021)
International Conference on Knowledge Science, Engineering and Management (KSEM 2021)
The 19th Asia Pacific Bioinformatics Conference (APBC 2021)
American Medical Informatics Association Annual Symposium (AMIA 2021)
33th International Conference on Tools with Artificial Intelligence （ICTAI 2021）
International Conference on Bioinformatics & Biomedicine 2020 （BIBM 2020）
19th International Workshop on Data Mining in Bioinformatics In Conjunction with SIGKDD 2020 (BIOKDD 2020)
The 27th International Conference on Neural Information Processing (ICONIP 2020)
The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020)
32th International Conference on Tools with Artificial Intelligence （ICTAI 2020）
2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)
The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2020)
The 14th International Workshop on Data and Text Mining in Biomedicine In Conjunction with CIKM 2020 (DTMBio2020)
The 8th Workshop on Data Mining in Biomedical Informatics and Healthcare In Conjunction with ICDM 2020 (DMBIH’20)
The 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020)
IEEE/WIC/ACM International Conference on Web Intelligence 2019

Awards and Achievements

2021 Acceptance to the General Program as a student at MLSS 2021 Taipei website
2021 I am co-organizing ICML 2021 workshop “Computational Approaches to Mental Health” website
2019 Beijing Merit Student Award
2019 National Scholarship for Graduate Students
2019 University of Chinese Academy of Sciences Merit Student Award
2015 Nankai University Software College Student Union Excellent Union Cadre
2015 ChinaSoft International Excellent Team Award TOP 10%
2014 Nankai University Youth League Excellent Officer Award
2013 Dean’s Cup Debate Competition Software College First Prize

Tianlin Zhang