Jianbo Yuan

Department of Computer Science
University of Rochester
Email: jyuan10(AT)cs(DOT)rochester(DOT)edu


I am a fifth year PhD student in the Department of Computer Science at University of Rochester, advised by Prof. Jiebo Luo. I obtained my M.S. degree from the ECE department at University of Rochester in 2014, and B.E. degree from Harbin Institute of Technology (HIT) in 2012.

My research interests include: Deep Learning in Multimodal Analysis. Recently, I mainly focused on public health care and wellness, and social multi-media. Expected to graduate in September, 2019, and I am currently seeking for full-time job opportunies, please find my CV .

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  • Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo. "Automatic Radiology Report Generation via Multi-view Image Fusion and Medical Concept Enrichment." International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.
  • Haofu Liao, Wei-an Lin, Jianbo Yuan, Shaohua Kevin Zhou and Jiebo Luo. "Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction." International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.
  • Jianbo Yuan, Henghui Zhu, and Amir Tahmasebi. "Classification of Pulmonary Nodular Findings based on Characterization of Change using Radiology Reports." American Medical Informatics Association (AMIA) Joint Summits on Translational Science proceedings, 2019.
  • Jianbo Yuan, Zhiwei Jin, Han Guo, Hongxia Jin, Xianchao Zhang and Jiebo Luo. "Constructing Biomedical Domain-specific Knowledge Graph with Minimum Supervision." Knowledge and Information Systems, 2019.
  • Yuxiao Chen*, Jianbo Yuan*, Quanzeng You, and Jiebo Luo. "Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM." ACM Multimedia Conference, 2018. (*Equal Contribution)
  • Jianbo Yuan, Han Guo, Zhiwei Jin, Hongxia Jin, Xianchao Zhang and Jiebo Luo. "One-shot Learning for Fine-grained Relation Extraction via Convolutional Siamese Neural Network." IEEE International Conference on Big Data, 2017.
  • Jianbo Yuan, Chester Holtz, Tristram Smith, and Jiebo Luo. "Autism spectrum disorder detection from semi-structured and unstructured medical data". EURASIP Journal on Bioinformatics and Systems Biology, 2017.1 (2016): 3.
  • Na Yang, Jianbo Yuan, Yun Zhou, Ilker Demirkol, Zhiyao Duan, Wendi Heinzelman, Melissa Sturge-Apple. "Enhanced Multiclass SVM with Thresholding Fusion for Speech-based Emotion Classification." International Journal of Speech Technology 20.1 (2017): 27-41.
  • Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda and Jiebo Luo. "Solving Cold Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach." IEEE International Conference on Big Data (Big Data), 2016.
  • Yuchen Wu, Jianbo Yuan, Quanzeng You and Jiebo Luo. "The Effect of Pets on Happiness: A Data-Driven Approach via Large-scale Social Media." IEEE International Conference on Big Data (Big Data), 2016.
  • Jun Wu, Jianbo Yuan, and Jiebo Luo. "Robust Multi-view Manifold Ranking for Image Retrieval." Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Springer International Publishing, 2016.
  • Yu Wang, Jianbo Yuan, and Jiebo Luo. "To Love or to Loathe: How is the World Reacting to China Rise?" IEEE International Conference on Data Mining (ICDM), Workshop on Big Media Data: Understanding, Search and Mining, December 2015.
  • Yu Wang, Jianbo Yuan, and Jiebo Luo. "America Tweets China: A Fine-Grained Analysis of the State and Individual Characteristics Regards Attitudes towards China." IEEE Big Data Conference, October 2015.
  • Jianbo Yuan, Quanzeng You and Jiebo Luo. "Sentiment Analysis Using Social Multimedia." Multimedia Data Mining and Analytics. Springer International Publishing, 2015. 31-59.
  • Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip Guo and Jiebo Luo. "Snap & Shop: Visual Search-Based Mobile Shopping Made a Breeze by Machine and Crowd Intelligence." IEEE International Conference on Semantic Computing (ICSC), February 2015.
  • Jianbo Yuan, Quanzeng You and Jiebo Luo. "Are There Cultural Differences in Event Driven Information Propagation over Social Media?" ACM Multimedia Conference, International Workshop on Socially-Aware Multimedia (IWSAM), October 2013
  • Jianbo Yuan, Sean Mcdonough, Quanzeng You and Jiebo Luo. "Sentribute: Image Sentiment Analysis from A Mid-level Perspective." ACM SIGKDD, Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), August 2013.
  • Jia Song, Yu Peng, Xiyuan Peng, Jianbo Yuan, and Zihan Ge. "Fault Detection Technique based on Clustering in WSNs." Chinese Journal of Scientific Instrument(CJSI), Vol.28, No.4, 2012.
  • Xudong Yang, Lianjie Ye, and Jianbo Yuan. "Research of computer vision fault recognition algorithm of center plate bolts of train." Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on. IEEE, 2011.
  • Interns & Teaching


    Futuerwei EI Cloud Lab, Internship, Sep - Dec 2018. Advisor: Jiebo Luo.
    Philips Research America, Internship, May - Aug 2018. Advisor: Amir Tahmasebi.
    Samsung Research America, Internship, Feb - Jul 2017. Advisor: Hongxia Jin.
    Careerbuilder Search Data Science Team, Internship, Jun - Aug 2016. Advisor: Khalifeh AlJadda.
    TCL Research America, Multimedia Lab, Visiting Researcher, Jun 2015 - May 2016. Advisor: Haohong Wang, Jiebo Luo.

    Teaching Assistant

    CSC 440 Data Mining, Fall 2016. Instructor: Jiebo Luo
    CSC 440 Data Mining, Fall 2015. Instructor: Jiebo Luo
    CSC 161 The Art of Programming, Spring 2015. Instructor: Richard Sarkis


    CSC 577 Intro to Data Mining. Instructor: Jiebo Luo
    CSC 446 Mathematical Foundation of A.I. Instructor: Danial Gildea
    CSC 449 Machine Vision. Instructor: Jiebo Luo
    CSC 412 Human Computer Interaction. Instructor: M. Ehsan Hoque
    CSC 400 Problem Seminar. Instructor: Randal C. Nelso
    CSC 412 Operating System. Instructor: John Criswell
    CSC 486 Computational Complexity. Instructor: Joel Seiferas
    CSC 458 Parallel and Distributed System. Instructor: Sandhya Dwarkadas
    CSC 486 Advanced Algorithms. Instructor: Daniel Stefankovic
    ECE 492 Network Science Analytics. Instructor: Gonzalo Mateos
    To be added...