Ting Su

Software · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ting Su trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yuting Chen
  2. Zhendong Su
  3. Tanzirul Azim
  4. Eric Schkufza
  5. Atif M. Memon
  6. Aravind Kumar Machiry
  7. Wei Yang
  8. Riyadh Mahmood
  9. Wontae Choi
  10. Ke Mao

Who trusts Ting Su overall

  1. Chris Cummins
  2. Marcel Böhme
  3. Kexin Pei

Papers from Ting Su's perspective

Ordered by how strongly the researchers Ting Su trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Automated concolic testing of smartphone apps (SIGSOFT FSE)
  3. Using GUI ripping for automated testing of Android applications (2012 Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Dynodroid: an input generation system for Android apps (ESEC/FSE 2013)
  6. DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  7. Targeted and depth-first exploration for systematic testing of android apps (Conference on Object-Oriented Programming Systems, Languages, and Applications)
  8. Explaining and Harnessing Adversarial Examples
  9. GUI ripping: reverse engineering of graphical user interfaces for testing (10th Working Conference on Reverse Engineering, 2003. WCRE 2003. Proceedings.)
  10. A Grey-Box Approach for Automated GUI-Model Generation of Mobile Applications (Fundamental Approaches to Software Engineering)

Their papers