Sendong (Stan) Zhao (趙森棟)

Sendong (Stan) Zhao (赵森栋)

Assistant Professor

Faculty of Computing, Harbin Institute of Technology

I'm an assistant professor in the Faculty of Computing at Harbin Institute of Technology. My research interests are general problems related to BioNLP and Graph Embedding. I am strongly interested in medical literature mining, text semantic matching, information extraction and deep learning. I once was a postdoc at Health Informatics Group of Weill Cornell Medicine, Cornell University from October 2018 to October 2020, working with Prof. Fei Wang. I obtained my PhD degree in computer science from Harbin Institute of Technology under the supervision of Prof. Ting Liu in 2018. From 2015 to 2016, I was a joint PhD student at the Text Information Management and Analysis Group (TIMAN), University of Illinois at Urbana-Champaign (UIUC), supervised by Prof. ChengXiang Zhai.

Email contact: sdzhao (at) ir (dot) hit (dot) edu (dot) cn

Research Interests

    • Text Data Mining; Biomedical Informatics; Natural Language Processing; Information Retrieval; Deep Learning



    • Joint PhD student, University of Illinois at Urbana-Champaign, Sep. 2015 - Nov. 2016

    • Intern researcher, Institute of Information Engineering, Chinese Academy of Sciences, Sep. 2014 - Jan. 2015

Selected Papers [Google Scholar]

Understanding Patient Query with Weak Supervision from Doctor Response, Journal of Biomedical and Health Informatics

Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Ziheng Zhang, Yefeng Zheng, Wanxiang Che

Combining Self-supervised Learning and Active Learning for Disfluency Detection, ACM Transactions on Asian and Low-Resource Language Information Processing

Shaolei Wang , Zhongyuan Wang , Wanxiang Che , Sendong Zhao , Ting Liu

Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension, EMNLP 2021

Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin

A Co-Interactive Transformer for Joint Slot Filling and Intent Detection, ICASSP 2021

Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu

Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding, ICASSP 2021

Dechuang Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules, arXiv 2020

Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang

Biomedical Evidence Engineering for Data-Driven Discovery (under review)

Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang

Structural and Textual Information Fusion for Symptom and Disease Representation Learning, IEEE Transactions on Knowledge and Data Engineering

Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang

Interactive Attention Network for Semantic Text Matching, ICDM 2020

Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang

Biomedical Evidence Generation Engine, WSDM 2020

Sendong Zhao, Fei Wang

Recent Advances in Biomedical Literature Mining, Briefings in Bioinformatics

Sendong Zhao, Chang Su, Zhiyong Lu, Fei Wang

GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment, CIKM 2019

Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang

Towards Time-Aware Distant Supervision for Relation Extraction, arXiv 2019

Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin

Graph Convolutional Networks for Computational Drug Development and Discovery, Briefings in Bioinformatics

Mengying Sun, Sendong Zhao, Coryandar Gilvary, Olivier Elemento, Jiayu Zhou, Fei Wang

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization, AAAI 2019

Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang

CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions, AAAI 2019

Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Kuchen Guo

Causal Relation Extraction and Reasoning from Text, PhD Thesis 2018

Sendong Zhao

CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data, ACM BCB 2018

Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu

Multi-View Ensemble Classification for Clinically Actionable Genetic Mutations, NIPS 2017

Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang

EEG: Knowledge Base for Event Evolutionary Principles and Patterns, SMP 2017

Zhongyang Li, Sendong Zhao, Xiao Ding, Ting Liu

ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data, IJCAI 2017

Sendong Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai

Constructing and Embedding Abstract Event Causality Networks from Text Snippets, WSDM 2017

Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, ChengXiang Zhai

Mining Medical Causality for Diagnosis Assistance, WSDM 2017

Sendong Zhao, Bing Qin, Ting Liu

Event Causality Extraction Based on Connectives Analysis, Neurocomputing

Sendong Zhao, Ting Liu, Sicheng Zhao, Yiheng Chen, Jian-Yun Nie

Causality and Its Applications in Social Media: A Survey, Journal of Software

Sendong Zhao, Ting Liu

Security flaws in two improved remote user authentication schemes using smart cards, International Journal of Communication Systems

Chunguang Ma, Ding Wang, Sendong Zhao

Cookie-Proxy: A Scheme to Prevent SSLStrip Attack, ICICS 2012

Sendong Zhao, Ding Wang, Sicheng Zhao, Wu Yang

Breaking a Robust Remote User Authentication Scheme using Smart Cards, IFIP-NPC 2012

Ding Wang, Chungguang Ma, Sendong Zhao, Changli Zhou

Academic Activities

    • PC memebr for conferences: AAAI 2020 2021; EMNLP 2018, 2019, 2000; ACL 2018, 2019, 2020; COLING 2018, 2020; AMIA 2018, 2019, ICMR 2018, CCKS 2018, ICDM 2017, CIKM 2017, NLPCC 2017, 2019

    • Reviewer for Journals: Nature Communications, IEEE TKDE, ACM TKDD, ACM TIST, IEEE TNNLS, IEEE/ACM TCBB, WWWJ, Artificial Intelligence Review,Journal of Biomedical Informatics,Artificial Intelligence in Medicine, Big Data, Multimedia Tools and Applications

    • Serve as Red Judge for IBM Waston Xprize

    • Editorial Board: Frontiers In Big Data