Sung-En Chang

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My name is Sung-En Chang. I am currently a Ph.D. student at Northeastern University, working with Ian En-Hsu Yen and Rose Yu on Learning Tensor Latent Features for Hyperspectral image processing. Before that, I am also a post-bachelor student at the Computer Science School of Tamkang University and I received my B.S./M.S. from the Finacial and Economic Law departments of Fu Jen Catholic University. My research focuses on Large-Scale Machine Learning, Optimization and their applications. Please see my CV for further information. e-mail: chang.sun@husky.neu.edu resume [PDF]

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Education

Northeastern University

• Ph.D. in College of Computer and Information Science, 2018 - 2023 (expected).

Tamkang University

• B.S. in Department of Computer Science and Information Engineering, 2016 - 2018.

Fu Jen Catholic University

• M.S. student, Department Financial and Economic Law, 2011 - 2015

Fu Jen Catholic University

• B.S. in Financial and Economic Law, 2007 - 2011

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Working Experience

National Taiwan University

• Research Assistant, Mar. 2015 - 2018.
  Develop Max-Cut / SDP solver for solving convex relaxation of Binary Latent-Variable Models. (with Ian E.H. Yen, Wei-Cheng Lee and Shou-De Lin).

Trend Micro , Taiwan

• Intern Data Scientist, July. 2016 - Feb. 2017.
  Network packet anomaly detection (with Jen-Lin Lai and Shou-De Lin).

Turing Trademark Attorney, Taiwan

• Co-Founder, Jan. 2014 - June. 2016.
  Turing Trademark Attorny, a trademark search engine and registration website (with Shis-Wen Huang and Ian E.H. Yen)

Huang and Partners Attorneys-At-Law

• Lawyer, Jan. 2014 - Dec. 2014.
  Civil law, Crime law, orporation law, Securities regulation and Insurance law

Fu Jen Catholic University

• Research Assistant, Oct. 2012 - Jun. 2013.
  The Taiwanese legal research method in cyberspace(with Ching-Kuen Ueng).

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Publications

• 2018

• Learning Tensor Latent Features [pdf]
  Sung-En Chang, Xun Zheng, Ian E.H. Yen, Pradeep Ravikumar and Rose Yu.
  (under review) 2018.

2017

Latent Feature Lasso [pdf] [slide] [poster] [talk]
Ian E.H. Yen, Wei-Cheng Li, Sung-En Chang, Arun S. Suggala, Shou-De Lin and Pradeep Ravikumar.
In International Conference on Machine Learning (ICML), 2017.
• Generalized Symmetric Matrix Factorization for Overlapping Community Detection
  Xun Zheng, Sung-En Chang, Venu Satuluri and Eric P. Xing
  (under review), 2017.
• MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
  Ian E.H. Yen, Wei-Cheng Li, Sung-En Chang, Shou-De Lin and Pradeep Ravikumar.
  (under review), 2017.

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Softwares

• MixingSDPSolve
  A Boolean (0/1) Quadratic Programming solver employing the algorithm proposed in Mixing Method for solving large-scale SDP, which can handle problems of millions of variables.
• CRFpacket
  A solver for anomaly detection, which can classify and predict next type of event with high accuracy.
• Trademark website
  A website for trademarks, which can help users register their trademarks and raise the acceptability.

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Skills

• Experienced: C++/C
  
  Familiar: Python, Matlab
  
  Knowledgeable: Java, HTML, CSS, Javascript

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