A full list of my publications is available at Google Scholar
Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, and Yike Guo. "Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge." arXiv preprint arXiv:2204.10202 (2022).
Jingqing Zhang, Luis Bolanos Trujillo, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, and Yike Guo. 2021. Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 8754–8769, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Julia Ive, Vibhor Gupta, and Yike Guo. "Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases." arXiv preprint arXiv:2107.11665 (2021).
Hao Dong, Zihan Ding, Shanghang Zhang, Jingqing Zhang, et al., Deep Reinforcement Learning: Fundamentals, Research and Applications, Springer Nature, 2020
Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu. "PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization." Thirty-seventh International Conference on Machine Learning (ICML). 2020.
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo. "Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification". 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019.
Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo. "Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records". 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019.
Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo. "Integrating Semantic Knowledge to Tackle Zero-shot Text Classification". In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2019.
Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu. "Dest-ResNet: a Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction". In Proceedings of the 2018 ACM on Multimedia Conference. ACM, 2018.
Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, and Yike Guo. "The Deep Poincare Map: A Novel Approach for Left Ventricle Segmentation". MICCAI 2018, The 21st International Conference on Medical Image Computing and Computer-Assisted Intervention. 2018.
Liao, Binbing, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, and Fei Wu. "Deep Sequence Learning with Auxiliary Information for Traffic Prediction." In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2018.
董豪，郭毅可，杨光，张敬卿，于思淼，陈竑，林一鸣，莫元汉，袁航，幺忠玮，吴超，王剑虹 (Hao Dong, Yike Guo, Guang Yang et al), 深度学习：一起玩转TensorLayer (Deep Learning Using TensorLayer), 电子工业出版社 (Publishing House of Electronics Industry), 2018 ISBN: 9787121326226
Dong, Hao, Jingqing Zhang, Douglas McIlwraith, and Yike Guo. "I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation." Image Processing (ICIP), 2017 IEEE International Conference on. IEEE, 2017.