Shiyu Chang

Ph.D. Candidate
Image Formation and Processing (IFP) Group
University of Illinois at Urbana-Champaign

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Address: 2253 Beckman Institute, Urbana, IL 61801

Short Biography

Shiyu Chang is a Ph.D. student at the University of Illinois at Urbana-Champaign under the supervision of Prof. Thomas S. Huang. He has wide range of research interests in data exploratory and analytics at large-scale. Specifically, his current research directions lie on building high performance and reliable systems with the help of the large-scale multi-modality information to solve complex computational tasks in real world.

He received his B.S. at the University of Illinois at Urbana-Champaign in 2011 with the highest University Honor (Bronze Tablet Award). He graduated from the Department of Electrical and Computer Engineering (ECE) and obtained his M.S. degree in 2014. He is a recipient of the Kodak Fellowship Award in 2014 and Thomas and Margaret Huang Award in 2016. Most of Shiyu's research has been published in top data mining and computer vision venues including SIGKDD, CVPR, WSDM, ICDM, SDM, IJCAI etc.. The paper Factorized Similarity Learning in Networks has been selected as the best student paper in ICDM 2014.


Selected Publications

For the full publication list see Shiyu's CV and Google Scholar. * indicates authors with equal contributions.

  1. Positive-Unlabled Learning in Streaming Networks.
    Shiyu Chang*, Yang Zhang*, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson and Thomas S. Huang.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. [Paper] [Code:Coming soon]
  2. Studying Very Low Resolution Recognition Using Deep Networks.
    Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu and Thomas S. Huang.
    IEEE Internation Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
    [Paper]
  3. Learning A Task-Specific Deep Architecture for Clustering.
    Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Jiayu Zhou, Meng Wang and Thomas S. Huang.
    SIAM International Conference on Data Mining (SDM), 2016.
    [Paper]
  4. Heterogeneous Network Embedding via Deep Architectures.
    Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal and Thomas S. Huang.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015. [Paper]
  5. A Space Alignment Method for Cold-Start TV Show Recommendations.
    Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu and Thomas Huang.
    International Joint Conference on Artificial Intelligence (IJCAI), 2015. [Paper]
    Samsung Best Paper Award 2014 Finalist
  6. Negative Link Prediction in Social Media.
    Jiliang Tang, Shiyu Chang, Charu C. Aggarwal and Huan Liu.
    ACM International Conference on Web Search and Data Mining (WSDM), 2015. [Paper]
  7. Factorized Similarity Learning in Networks.
    Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, and Thomas S. Huang.
    IEEE International Conference on Data Mining (ICDM), 2014. [Paper] Best Student Paper Award
  8. Learning Local Semantic Distances with Limited Supervision.
    Shiyu Chang, Charu C. Aggarwal and Thomas S. Huang.
    IEEE International Conference on Data Mining (ICDM), 2014. [Paper]
  9. Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree.
    Shiyu Chang, Guo-Jun Qi, Jinhui Tang, Qi Tian, Yong Rui and Thomas S. Huang.
    IEEE International Conference on Data Mining (ICDM), 2013. [Paper]
  10. Learning Locally-Adaptive Decision Functions for Person Verification.
    Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao and John R. Smith.
    IEEE Internation Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
    [Paper] [Code:VIPeR] [Code:CAVIAR4REID]

The book chapters and journal publications are listed below:

  1. Multimedia Classification.
    Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami and Thomas S. Huang.
    Algorithms and Applications, 2014. Editor: Charu C. Aggarwal. CRC Press. [Paper]
  2. Clustering Multimedia Data.
    Shen-Fu Tsai, Guo-Jun Qi, Shiyu Chang, Min-Hsuan Tsai and Thomas S. Huang.
    Algorithms and Applications, 2013. Editor: Charu C. Aggarwal. CRC Press. [Paper]
  3. Large-scale Supervised Similarity Learning in Networks.
    Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang and Thomas S. Huang.
    Knowledge and Information Systemes (KAIS), 2015. [Paper]
  4. Blind Image Deblurring Using Spectral Properties of Convolution Operators.
    Guangcan Liu, Shiyu Chang and Yi Ma.
    IEEE Transactions on Image Processing (TIP), 23(12), 2014. [Paper]


Service

Shiyu as regularly reviews manuscripts for the following journals: IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Signal Processing Letters (TSPL), IEEE Intelligent Systems (IS), Data Mining and Knowledge Discovery (DMKD), Machine Vision and Applications (MVAP), Pattern Recognition (PR), Pattern Recognition Letters (PRL), Neurocomputing (NEUCOM), Multidimensional Systems and Signal Process (MSSP).

Shiyu also served as TPC/S-TPC in the following major conferences:

2016   SDM, MMM, ICIP, ICME, ICHI, IJCAI (BOOM Workshop)
2015   SDM, ICIP, ICME, ICHI, IJCAI (Machine Learning Track), ACM MM, DSAA
2014   CIKM (ImBig Workshop)

Shiyu also has organized and contributed to many conferences and workshops as a organizer including:

2016   Publicity Chair, SDM Workshop on Machine Learning Methods for Recommender Systems (MLRec)
2015   Publicity Chair, SDM Workshop on Machine Learning Methods for Recommender Systems (MLRec)
2014 Web Chair, 3rd ACM Multimedia Workshop on Geotaggin and Its Applications in Multimedia (GeoMM)
2014 Program Coordinator, ICME Workshop on Frontier of Crowdsourcing in Multimedia Computing (FCMC)

A job well done is its own reward. You take pride in the things you do, not for others to see, not for the respect, or glory, or any other rewards it might bring. You take pride in what you do, because you're doing your best. If you believe in something, you stick with it. When things get difficult, you try harder. Some words keep me moving forward.


Last updated on July, 2016.

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